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CoRR, April 2021
- Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
RetrievalFuse: Neural 3D Scene Reconstruction with a Database. - Matthias Kaiser, Tatjana Buklijas, Peter D. Gluckman:
Models and numbers: Representing the world or imposing order? - Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze:
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization. - Moritz Böhle, Mario Fritz, Bernt Schiele:
Convolutional Dynamic Alignment Networks for Interpretable Classifications. - Zuguang Gao, John R. Birge, Varun Gupta:
Approximation Schemes for Multiperiod Binary Knapsack Problems. - Tamer Ölmez, Zümray Dokur:
Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix. - Jason S. Hoffman, Varun K. Viswanath, Xinyi Ding, Matthew J. Thompson, Eric C. Larson, Shwetak N. Patel, Edward Jay Wang:
Smartphone Camera Oximetry in an Induced Hypoxemia Study. - Allahsera Auguste Tapo, Michael Leventhal, Sarah Luger, Christopher M. Homan, Marcos Zampieri:
Domain-specific MT for Low-resource Languages: The case of Bambara-French. - Christian Stewart
:
SkiffOS: Minimal Cross-compiled Linux for Embedded Containers. - Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen R. Novoseller, Ken Goldberg:
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning. - Daniel Deutsch, Rotem Dror, Dan Roth:
A Statistical Analysis of Summarization Evaluation Metrics using Resampling Methods. - Amit Roy, Kashob Kumar Roy, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman:
SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network. - Zeinab Azadeh Kermansaravi, Md. Saidur Rahman, Foutse Khomh, Fehmi Jaafar, Yann-Gaël Guéhéneuc:
Investigating Design Anti-pattern and Design Pattern Mutations and Their Change- and Fault-proneness. - Atul Ingle, Trevor Seets, Mauro Buttafava, Shantanu Gupta, Alberto Tosi, Mohit Gupta, Andreas Velten:
Passive Inter-Photon Imaging. - Jingkai Chen, Yuening Zhang, Cheng Fang, Brian C. Williams:
Generalized Conflict-directed Search for Optimal Ordering Problems. - Junheng Li, Quan Nguyen:
Force-and-moment-based Model Predictive Control for Achieving Highly Dynamic Locomotion on Bipedal Robots. - Khoi Nguyen, Sinisa Todorovic:
FAPIS: A Few-shot Anchor-free Part-based Instance Segmenter. - Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Choong Seon Hong:
Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces. - Jiyo Palatti, Andrei Aksjonov, Gokhan Alcan, Ville Kyrki:
Planning for Safe Abortable Overtaking Maneuvers in Autonomous Driving. - Mengxi Li, Alper Canberk, Dylan P. Losey, Dorsa Sadigh:
Learning Human Objectives from Sequences of Physical Corrections. - Li Zhang, Faezeh Tafazzoli, Gunther Krehl, Runsheng Xu, Timo Rehfeld, Manuel Schier, Arunava Seal:
Hierarchical Road Topology Learning for Urban Map-less Driving. - Hudson Martins Silva Bruno, Esther Luna Colombini:
A comparative evaluation of learned feature descriptors on hybrid monocular visual SLAM methods. - Carine Rognon, Taylor Bunge, Meiyuzi Gao, Chip Conor, Benjamin Stephens-Fripp, Casey Brown, Ali Israr:
An Online Survey on the Perception of Mediated Social Touch Interaction and Device Design. - Yupeng Fu, Chinmay Soman:
Real-time Data Infrastructure at Uber. - Sebastian Meznar, Nada Lavrac, Blaz Skrlj:
Transfer Learning for Node Regression Applied to Spreading Prediction. - Xiaodong Wei:
THU-Splines: Highly Localized Refinement on Smooth Unstructured Splines. - Lea A. Shanley, Lucy Fortson, Tanya Y. Berger-Wolf, Kevin Crowston, Pietro Michelucci:
Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research. - Christina N. Harrington, Ben Jelen, Amanda Lazar, Aqueasha Martin-Hammond, Alisha Pradhan, Blaine Reeder, Katie A. Siek:
Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers. - Devansh Jalota, Kiril Solovey, Stephen Zoepf, Marco Pavone:
Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment. - Hudson Martins Silva Bruno, Esther Luna Colombini:
LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method. - Shuo Han, Samuel Remedios, Aaron Carass, Michael Schär, Jerry L. Prince:
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions. - Xiao Tan, Wenceslao Shaw-Cortez, Dimos V. Dimarogonas:
High-order Barrier Functions: Robustness, Safety and Performance-Critical Control. - Jason Li, Danupon Nanongkai, Debmalya Panigrahi, Thatchaphol Saranurak
, Sorrachai Yingchareonthawornchai:
Vertex Connectivity in Poly-logarithmic Max-flows. - Aviral Joshi, Chengzhi Huang, Har Simrat Singh:
Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation. - Abhinav Khattar, Aviral Joshi, Har Simrat Singh, Pulkit Goel, Rohit Prakash Barnwal:
Analysis on Image Set Visual Question Answering. - Peipei Lu, Andreas Rupp, Guido Kanschat:
Analysis of injection operators in multigrid solvers for hybridized discontinuous Galerkin methods. - Zachary E. Lee, K. Max Zhang:
Generalized Reinforcement Learning for Building Control using Behavioral Cloning. - Peter Nabende, David Kabiito, Claire Babirye, Hewitt Tusiime, Joyce Nakatumba-Nabende:
Misinformation detection in Luganda-English code-mixed social media text. - Farnoosh Faraji, Faraz Lotfi, Javad Khorramdel, Ali Najafi, Ali Ghaffari:
Drowsiness Detection Based On Driver Temporal Behavior Using a New Developed Dataset. - Thomas Beckers, Sandra Hirche, Leonardo Colombo:
Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes. - Chien-Lun Chen, Leana Golubchik, Ranjan Pal:
Achieving Transparency Report Privacy in Linear Time. - Yufeng Chen:
NodeSRT: A Selective Regression Testing Tool for Node.js Application. - Gonzalo Gabriel Méndez, Luis Galárraga, Katherine Chiluiza:
Showing Academic Performance Predictions during Term Planning: Effects on Students' Decisions, Behaviors, and Preferences. - Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon:
Full Surround Monodepth from Multiple Cameras. - Nikos Katzouris, Alexander Artikis, Georgios Paliouras:
Online Learning Probabilistic Event Calculus Theories in Answer Set Programming. - Daniel Reusche, Nicolás Della Penna:
Towards Prior-Free Approximately Truthful One-Shot Auction Learning via Differential Privacy. - Andres Baloian, Nils Murrugarra-Llerena, José M. Saavedra:
Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet. - Faraz Torabi, Garrett Warnell, Peter Stone:
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation. - Fatoumata Dama
, Christine Sinoquet:
Analysis and modeling to forecast in time series: a systematic review. - Kenneth Michael Stewart, Andreea Danielescu, Lazar Supic, Timothy M. Shea, Emre Neftci:
Gesture Similarity Analysis on Event Data Using a Hybrid Guided Variational Auto Encoder. - Samuel C. Pinto, Sean B. Andersson, Julien M. Hendrickx, Christos G. Cassandras:
A Semidefinite Programming Approach to Discrete-time Infinite Horizon Persistent Monitoring. - Muhyun Back, Jinkyu Lee, Kyuho Bae, Sung Soo Hwang, Il Yong Chun:
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles. - Robik Shrestha, Kushal Kafle, Christopher Kanan:
An Investigation of Critical Issues in Bias Mitigation Techniques. - Muhammad Abubakar Alhassan, Isa Inuwa-Dutse, Bello Shehu Bello, Diane Rasmussen Pennington:
Self-harm: detection and support on Twitter. - Abhishek Ninad Kulkarni, Shuo Han, Nandi O. Leslie, Charles A. Kamhoua, Jie Fu:
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness. - Samrudhdhi B. Rangrej, James J. Clark:
Visual Attention in Imaginative Agents. - Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens:
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling. - Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe:
Selective Feature Compression for Efficient Activity Recognition Inference. - Md. Ahasanuzzaman, Safwat Hassan, Ahmed E. Hassan:
Studying Ad Library Integration Strategies of Top Free-to-Download Apps. - Douglas N. Arnold, Johnny Guzmán:
Local L2-bounded commuting projections in FEEC. - Samuel Felipe dos Santos, Jurandy Almeida:
Less is More: Accelerating Faster Neural Networks Straight from JPEG. - Zixun Lan, Limin Yu, Linglong Yuan, Zili Wu, Qiang Niu, Fei Ma:
Sub-GMN: The Subgraph Matching Network Model. - Mohammed I. Abouheaf, Wail Gueaieb, Md. Suruz Miah, Davide Spinello:
Trajectory Tracking of Underactuated Sea Vessels With Uncertain Dynamics: An Integral Reinforcement Learning Approach. - Zishen Wan
, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu:
An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform. - Peng Chu, Jiang Wang, Quanzeng You, Haibin Ling, Zicheng Liu:
TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking. - Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin:
Modular Tree Network for Source Code Representation Learning. - Farah Ferdaus, Bashir M. Sabquat Bahar Talukder, Mehdi Sadi, Md. Tauhidur Rahman:
True Random Number Generation using Latency Variations of Commercial MRAM Chips. - Ning Wang, Mohammed I. Abouheaf, Wail Gueaieb:
Data-Driven Optimized Tracking Control Heuristic for MIMO Structures: A Balance System Case Study. - Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. - Junhui Yin, Jiayan Qiu, Siqing Zhang, Jiyang Xie, Zhanyu Ma, Jun Guo:
Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning. - Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
AdaPool: A Diurnal-Adaptive Fleet Management Framework using Model-Free Deep Reinforcement Learning and Change Point Detection. - Andrew Price, Kun Huang, Dmitry Berenson:
Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric Segmentation. - Longfei Yin, Onur Dizdar, Bruno Clerckx:
Rate-Splitting Multiple Access for Multigroup Multicast Cellular and Satellite Communications: PHY Layer Design and Link-Level Simulations. - Monith S. Reyunuru, Kriti Jethlia, Manjanna Basappa:
The k-Colorable Unit Disk Cover Problem. - Phuoc Pham, Jacob A. Abraham, Jaeyong Chung:
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer. - Süleyman Yildiz, Murat Uzunca, Bülent Karasözen:
Intrusive and non-intrusive reduced order modeling of the rotating thermal shallow water equation. - Xu Wang, Shuai Zhao, Bo Cheng, Jiale Han, Yingting Li, Hao Yang, Ivan Sekulic, Guoshun Nan:
Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering. - Randall Balestriero, Richard G. Baraniuk:
Fast Jacobian-Vector Product for Deep Networks. - Longfei Yin, Bruno Clerckx, Yijie Mao:
Rate-Splitting Multiple Access for Multi-Antenna Broadcast Channels with Statistical CSIT. - Qi Zhao, Yujing Ma, Shuchang Lyu
, Lijiang Chen:
Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification. - Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo:
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification. - Xiaoli Li, Weilong Wang, Jie Shen:
Stability and error analysis of IMEX SAV schemes for the magneto-hydrodynamic equations. - Jun Wang:
Two-phase weakly supervised object detection with pseudo ground truth mining. - Jiahui She, Yibo Hu, Hailin Shi, Jun Wang, Qiu Shen, Tao Mei:
Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition. - Jie Wang, Kaibin Tian, Dayong Ding, Gang Yang, Xirong Li:
Unsupervised Domain Expansion for Visual Categorization. - Xinfang Liu, Xiushan Nie, Zhifang Tan, Jie Guo, Yilong Yin:
A Survey on Natural Language Video Localization. - Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K. M., Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra, Ashish R. Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan, Tejaswi Seeram, Basil Abraham:
Multilingual and code-switching ASR challenges for low resource Indian languages. - Jianhua Li
, Ximeng Liu, Jiong Jin, Shui Yu:
Too Expensive to Attack: A Joint Defense Framework to Mitigate Distributed Attacks for the Internet of Things Grid. - Zixuan Jiang, Jiaqi Gu, Mingjie Liu, Keren Zhu, David Z. Pan:
Optimizer Fusion: Efficient Training with Better Locality and Parallelism. - Jinxing Zhou, Liang Zheng, Yiran Zhong, Shijie Hao, Meng Wang:
Positive Sample Propagation along the Audio-Visual Event Line. - Ziyuan Huang, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Rong Jin, Marcelo H. Ang:
Self-supervised Motion Learning from Static Images. - Ziyi Wang, Oswin So
, Jason Gibson, Bogdan I. Vlahov, Manan S. Gandhi, Guan-Horng Liu, Evangelos A. Theodorou:
Variational Inference MPC using Tsallis Divergence. - Qing Yu
, Atsushi Hashimoto, Yoshitaka Ushiku:
Divergence Optimization for Noisy Universal Domain Adaptation. - Byeoungdo Kim, SeongHyeon Park, Seokhwan Lee, Elbek Khoshimjonov, Dongsuk Kum, Junsoo Kim, Jeong Soo Kim, Jun Won Choi:
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents. - K. C. Sivaramakrishnan, Stephen Dolan, Leo White, Tom Kelly, Sadiq Jaffer, Anil Madhavapeddy:
Retrofitting Effect Handlers onto OCaml. - Zachary DeVito, Jason Ansel, Will Constable, Michael Suo, Ailing Zhang, Kim M. Hazelwood:
Using Python for Model Inference in Deep Learning. - Alexander Johansson, Ehsan Nekouei, Karl Henrik Johansson, Jonas Mårtensson:
Strategic Hub-Based Platoon Coordination under Uncertain Travel Times. - Xin Liang, Li Wang, Lei-Hong Zhang, Ren-Cang Li:
On Generalizing Trace Minimization. - Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng:
Pinpointing the Memory Behaviors of DNN Training. - Prabhakar Gupta, Ridha Juneja, Anil Nelakanti, Tamojit Chatterjee:
Detecting over/under-translation errors for determining adequacy in human translations. - Adrian Barbu, Hongyu Mou:
The Compact Support Neural Network. - Jivnesh Sandhan, Om Adideva, Digumarthi Komal, Laxmidhar Behera, Pawan Goyal:
Evaluating Neural Word Embeddings for Sanskrit. - Kevin Lin, Lijuan Wang, Zicheng Liu:
Mesh Graphormer. - Pengliang Ji, Li Ruan, Yunzhi Xue, Limin Xiao, Qian Dong:
Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test. - Arnulf Jentzen, Adrian Riekert:
A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions. - Joshua K. Pickard, Vincent Padois, Milan Hladík, David Daney:
Efficient Set-Based Approaches for the Reliable Computation of Robot Capabilities. - Nicole Spillane:
An abstract theory of domain decomposition methods with coarse spaces of the GenEO family. - Benjamin Shreeve, Joseph Hallett, Matthew Edwards, Kopo M. Ramokapane, Richard Atkins, Awais Rashid:
The best laid plans or lack thereof: Security decision-making of different stakeholder groups. - Luowei Zhou, Jingjing Liu, Yu Cheng, Zhe Gan, Lei Zhang:
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning. - Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz:
Learning to Track Instances without Video Annotations. - Thamme Gowda, Zhao Zhang, Chris A. Mattmann, Jonathan May:
Many-to-English Machine Translation Tools, Data, and Pretrained Models. - Lucien Haddad, Masahiro Miyakawa, Maurice Pouzet, Hisayuki Tatsumi:
Hereditary rigidity, separation and density In memory of Professor I.G. Rosenberg. - Holden Gordon, Christopher Batula, Bhagyashri Tushir, Behnam Dezfouli, Yuhong Liu:
Securing Smart Homes via Software-Defined Networking and Low-Cost Traffic Classification. - Xiufeng Jiang, Shugong Xu, Shunqing Zhang, Shan Cao:
Arbitrary-Shaped Text Detection withAdaptive Text Region Representation. - Mingxing Tan, Quoc V. Le:
EfficientNetV2: Smaller Models and Faster Training. - Hojung Lee, Jong-Seok Lee:
Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits. - Xianjia Yu
, Qingqing Li, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund:
Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots. - Jennifer Jang, Heinrich Jiang:
MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking. - Kao-Yueh Kuo
, Ching-Yi Lai:
Log-domain decoding of quantum LDPC codes over binary finite fields. - Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu:
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation. - Rongjie Li, Songyang Zhang, Bo Wan, Xuming He:
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation. - Luoqiu Li, Xiang Chen, Ningyu Zhang
, Shumin Deng, Xin Xie, Chuanqi Tan, Mosha Chen, Fei Huang, Huajun Chen:
Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction. - Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee, Yen-Yu Lin, Ming-Hsuan Yang:
Unsupervised Sound Localization via Iterative Contrastive Learning. - Edoardo Battegazzorre, Andrea Bottino, Fabrizio Lamberti:
Training Medical Communication Skills with Virtual Patients: Literature Review and Directions for Future Research. - Phong Tran, Anh Tran, Quynh Phung, Minh Hoai:
Explore Image Deblurring via Blur Kernel Space. - Yoonhyung Kim, Changick Kim:
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training. - Matan Levi, Idan Attias, Aryeh Kontorovich:
Domain Invariant Adversarial Learning. - Pengguang Chen, Shu Liu, Jiaya Jia:
Jigsaw Clustering for Unsupervised Visual Representation Learning. - Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang:
STMTrack: Template-free Visual Tracking with Space-time Memory Networks. - Shintaro Nishi, Takeaki Kadota, Seiichi Uchida:
Famous Companies Use More Letters in Logo: A Large-Scale Analysis of Text Area in Logo. - Francesco Pase, Marco Giordani, Michele Zorzi:
On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI. - Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu:
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training. - Nayeon Lee, Yejin Bang, Andrea Madotto, Pascale Fung:
Mitigating Media Bias through Neutral Article Generation. - Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann:
Wide-Depth-Range 6D Object Pose Estimation in Space. - Qi Fang, Qing Shuai, Junting Dong, Hujun Bao, Xiaowei Zhou:
Reconstructing 3D Human Pose by Watching Humans in the Mirror. - Sunny Katyara, Fanny Ficuciello, Tao Teng, Fei Chen, Bruno Siciliano, Darwin G. Caldwell:
Intuitive Tasks Planning Using Visuo-Tactile Perception for Human Robot Cooperation. - Jia He, Yi Chen, Yiqin Wang, Ziming Yu, Chong Han:
Channel Measurement and Path-Loss Characterization for Low-Terahertz Indoor Scenarios. - Kacper Kania, Marek Kowalski, Tomasz Trzcinski:
TrajeVAE - Controllable Human Motion Generation from Trajectories. - Akihito Taya, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto:
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space. - Adam Polyak, Yossi Adi, Jade Copet, Eugene Kharitonov, Kushal Lakhotia, Wei-Ning Hsu, Abdelrahman Mohamed, Emmanuel Dupoux
:
Speech Resynthesis from Discrete Disentangled Self-Supervised Representations. - Tianyu Hua, Hongdong Zheng, Yalong Bai, Wei Zhang, Xiao-Ping Zhang, Tao Mei:
Exploiting Relationship for Complex-scene Image Generation. - Charlotte Roman, Paolo Turrini:
Bounding the Inefficiency of Route Control in Intelligent Transport Systems. - Daniel Buschek, Lukas Mecke, Florian Lehmann, Hai Dang:
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems. - Linjie Lyu, Marc Habermann, Lingjie Liu, Mallikarjun B. R., Ayush Tewari, Christian Theobalt:
Efficient and Differentiable Shadow Computation for Inverse Problems. - Martin Käppel, Stefan Jablonski, Stefan Schönig:
Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs. - Chenyou Fan, Jianwei Huang:
Federated Few-Shot Learning with Adversarial Learning. - Evander Nyoni, Bruce A. Bassett:
Low-Resource Neural Machine Translation for Southern African Languages. - Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev:
FeTaQA: Free-form Table Question Answering. - Seamus Brady:
The Comprehensive Blub Archive Network: Towards Design Principals for Open Source Programming Language Repositories. - Seamus Brady:
Immutability and Design Patterns in Ruby. - Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao:
Online Multiple Object Tracking with Cross-Task Synergy. - Taisuke Kobayashi, Yutaro Ikawa, Takamitsu Matsubara:
Sample-efficient Gear-ratio Optimization for Biomechanical Energy Harvester. - Taisuke Kobayashi, Kenta Yoshizawa:
Optimization Algorithm for Feedback and Feedforward Policies towards Robot Control Robust to Sensing Failures. - Agnese Chiatti, Gianluca Bardaro, Enrico Motta, Enrico Daga:
Commonsense Spatial Reasoning for Visually Intelligent Agents. - Hamdy Michael Ayas, Philipp Leitner, Regina Hebig:
Facing the Giant: a Grounded Theory Study of Decision-Making in Microservices Migrations. - Mohammadreza Doostmohammadian, Usman A. Khan, Themistoklis Charalambous:
Delay-Tolerant Consensus-based Distributed Estimation: Full-Rank Systems with Potentially Unstable Dynamics. - Stefano Massei, Leonardo Robol:
Mixed precision recursive block diagonalization for bivariate functions of matrices. - Akihiro Umeda, Yuta Wakasugi, Shuji Yoshikawa:
Structure-preserving finite difference schemes for nonlinear wave equations with dynamic boundary conditions. - Mohammadreza Doostmohammadian, Alireza Aghasi, Themistoklis Charalambous, Usman A. Khan:
Distributed support-vector-machine over dynamic balanced directed networks. - Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu:
Target Transformed Regression for Accurate Tracking. - Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper
, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: an End-to-End Library for Continual Learning. - Dmitriy Zhuk, Barnaby Martin:
The complete classification for quantified equality constraints. - Parfait Atchade-Adelomou, Daniel Casado-Fauli, Elisabet Golobardes-Ribé, Xavier Vilasís-Cardona:
quantum Case-Based Reasoning (qCBR). - Amir Zandieh:
Learning with Neural Tangent Kernels in Near Input Sparsity Time. - Longguang Wang, Yingqian Wang, Xiaoyu Dong, Qingyu Xu, Jungang Yang, Wei An, Yulan Guo:
Unsupervised Degradation Representation Learning for Blind Super-Resolution. - Jussi Karlgren, Pentti Kanerva:
High-dimensional distributed semantic spaces for utterances. - Yuka Takeishi, Mingxuan Niu, Jing Luo, Zhong Jin, Xinyu Yang:
WakaVT: A Sequential Variational Transformer for Waka Generation. - Mathis Peyron, Anthony Fillion, Selime Gürol, Victor Marchais, Serge Gratton, Pierre Boudier, Gaël Goret:
Latent Space Data Assimilation by using Deep Learning. - Guangming Wang, Hesheng Wang, Yiling Liu, Weidong Chen:
Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks. - Maxim Bonnaerens, Matthias Freiberger, Joni Dambre:
Anchor Pruning for Object Detection. - Andres Ferraro
, Xavier Favory, Konstantinos Drossos, Yuntae Kim, Dmitry Bogdanov:
Enriched Music Representations with Multiple Cross-modal Contrastive Learning. - Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro:
Touch-based Curiosity for Sparse-Reward Tasks. - Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin:
Towards Evaluating and Training Verifiably Robust Neural Networks. - Joze M. Rozanec, Dunja Mladenic:
Semantic XAI for contextualized demand forecasting explanations. - Jie Gui, Haizhang Zhang:
Learning Rates for Multi-task Regularization Networks. - Lampis Alevizos, Vinh-Thong Ta, Max Hashem Eiza:
Augmenting Zero Trust Architecture to Endpoints Using Blockchain: A Systematic Review. - Rami Gökhan Kici, Klaus von Gleissenthall, Deian Stefan, Ranjit Jhala:
Solver-Aided Constant-Time Circuit Verification. - Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai:
SCALoss: Side and Corner Aligned Loss for Bounding Box Regression. - Roy Ganz, Michael Elad:
Improved Image Generation via Sparse Modeling. - Pavlos Eirinakis, Ioannis Mourtos, Michalis Samaris:
Pareto optimal exchange with indifferent endowments. - Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia:
Improving Calibration for Long-Tailed Recognition. - Meysam Nasimi, Mohammad Asif Habibi, Bin Han, Hans D. Schotten:
Edge-Assisted Congestion Control Mechanism for 5G Network Using Software-Defined Networking. - Jan Bechtold, Maxim Tatarchenko, Volker Fischer, Thomas Brox:
Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors. - Celia Cintas, Payel Das, Brian Quanz, Skyler Speakman, Victor Akinwande, Pin-Yu Chen:
Towards creativity characterization of generative models via group-based subset scanning. - Edwin C. Brady:
Idris 2: Quantitative Type Theory in Practice. - Benoît Guillard, Edoardo Remelli, Pierre Yvernay, Pascal Fua:
Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches. - Yu Yang, Hakan Bilen, Qiran Zou, Wing Yin Cheung, Xiangyang Ji:
Unsupervised Foreground-Background Segmentation with Equivariant Layered GANs. - Longwen Zhang, Qixuan Zhang, Minye Wu, Jingyi Yu, Lan Xu:
Neural Video Portrait Relighting in Real-time via Consistency Modeling. - Xinxin Mei, Qiang Wang, Xiaowen Chu, Hai Liu, Yiu-Wing Leung, Zongpeng Li:
Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters. - Jianjin Xu, Changxi Zheng:
Linear Semantics in Generative Adversarial Networks. - Jun Fu, Wei Zhou, Zhibo Chen:
Bayesian Graph Convolutional Network for Traffic Prediction. - Daniele Romanini, Adam James Hall, Pavlos Papadopoulos
, Tom Titcombe, Abbas Ismail, Tudor Cebere, Robert Sandmann, Robin Roehm, Michael A. Hoeh:
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN. - Yiye Chen, Ruinian Xu, Yunzhi Lin, Patricio A. Vela:
A Joint Network for Grasp Detection Conditioned on Natural Language Commands. - Alexander Renz-Wieland, Rainer Gemulla, Zoi Kaoudi, Volker Markl:
Replicate or Relocate? Non-Uniform Access in Parameter Servers. - Wester C. H. Schoonenberg, Amro M. Farid:
Hetero-functional Network Minimum Cost Flow Optimization: A Hydrogen-Natural Gas Network Example. - Raphael M. Guedes, José Ferreira de Rezende, Valmir C. Barbosa:
Integrated optimization of heterogeneous-network management and the elusive role of macrocells. - Xin Liang:
On the Optimality of the Oja's Algorithm for Online PCA. - Jingsong Wang, Yuxuan He, Chunyu Zhao, Qijie Shao, Wei-Wei Tu, Tom Ko, Hung-yi Lee, Lei Xie:
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines. - Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà:
Spectral Unions of Partial Deformable 3D Shapes. - Yi Luo, Yichen Wu, Liqiao Li, Yuening Guo, Ege Cetintas, Yifang Zhu, Aydogan Ozcan:
Dynamic imaging and characterization of volatile aerosols in e-cigarette emissions using deep learning-based holographic microscopy. - Partha P. Mitra:
Fitting Elephants. - Yusuf Nasir, Jincong He, Chaoshun Hu, Shusei Tanaka, Kainan Wang, XianHuan Wen:
Deep Reinforcement Learning for Constrained Field Development Optimization in Subsurface Two-phase Flow. - Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong:
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection. - Andrew H. Song, Bahareh Tolooshams, Demba E. Ba:
Gaussian Process Convolutional Dictionary Learning. - Inan Timur, Ahmet Fevzi Baba:
Prediction of Wind Speed Using Artificial Neural Networks and ANFIS Methods (Observation Buoy Example). - Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Radha Poovendran:
Reinforcement Learning Beyond Expectation. - Kamil Zbikowski, Michal Ostapowicz, Piotr Gawrysiak:
Deep Reinforcement Learning for Resource Allocation in Business Processes. - Tong Wu, Jorge Ortiz:
RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning. - Michael Kuperberg, Matthias Geipel:
Blockchain and BIM (Building Information Modeling): Progress in Academia and Industry. - Alain Hertz, Anaelle Hertz, Hadrien Mélot:
Using Graph Theory to Derive Inequalities for the Bell Numbers. - Jianyuan Wang, Yiran Zhong, Yuchao Dai, Stan Birchfield, Kaihao Zhang, Nikolai Smolyanskiy, Hongdong Li:
Deep Two-View Structure-from-Motion Revisited. - Jonne Sälevä, Constantine Lignos:
Mining Wikidata for Name Resources for African Languages. - Yihao Zhang, John J. Leonard:
A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior. - Roger Girgis, Florian Golemo, Felipe Codevilla, Jim Aldon D'Souza
, Samira Ebrahimi Kahou, Felix Heide, Christopher J. Pal:
Latent Variable Nested Set Transformers & AutoBots. - Mauro Martini, Vittorio Mazzia, Aleem Khaliq, Marcello Chiaberge:
Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery. - Steffen Herbold:
Exploring the relationship between performance metrics and cost saving potential of defect prediction models. - Kai Hu, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn:
Text to Image Generation with Semantic-Spatial Aware GAN. - Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai:
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering. - Stefania Bellavia, Gianmarco Gurioli, Benedetta Morini, Philippe L. Toint:
Quadratic and Cubic Regularisation Methods with Inexact function and Random Derivatives for Finite-Sum Minimisation. - Minghao Chen, Houwen Peng, Jianlong Fu, Haibin Ling:
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking. - Simon Karanja Hinga:
Design and development of an Aerial Surveillance Security System. - Jessica Zosa Forde, A. Feder Cooper, Kweku Kwegyir-Aggrey, Chris De Sa, Michael Littman:
Model Selection's Disparate Impact in Real-World Deep Learning Applications. - Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang:
The surprising impact of mask-head architecture on novel class segmentation. - Chen Sun, Arsha Nagrani, Yonglong Tian, Cordelia Schmid:
Composable Augmentation Encoding for Video Representation Learning. - Benjamin Kahl:
Real-Time Global Illumination Using OpenGL And Voxel Cone Tracing. - Xiao Lin, Meng Ye, Yunye Gong, Giedrius Burachas, Nikoletta Basiou, Ajay Divakaran, Yi Yao:
Modular Adaptation for Cross-Domain Few-Shot Learning. - Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox:
RGB-D Local Implicit Function for Depth Completion of Transparent Objects. - Birgit van Huijgevoort, Sofie Haesaert:
Multi-layered simulation relations for linear stochastic systems. - Joshua Gruenstein, Tao Chen, Neel Doshi, Pulkit Agrawal:
Residual Model Learning for Microrobot Control. - Tahmid Hasan Pranto, Abdulla All Noman, Atik Mahmud, A. K. M. Bahalul Haque:
Blockchain and smart contract for IoT enabled smart agriculture. - Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani:
RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation. - Gias Uddin:
Security and Machine Learning Adoption in IoT: A Preliminary Study of IoT Developer Discussions. - Min Zhang, Dongsheng An, Na Lei, Jianfeng Wu, Tong Zhao, Xiaoyin Xu, Yalin Wang, Xianfeng Gu:
Cortical Morphometry Analysis based on Worst Transportation Theory. - Rafel Palliser-Sans, Albert Rial-Farràs:
HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection. - James Thorne, Max Glockner, Gisela Vallejo, Andreas Vlachos
, Iryna Gurevych:
Evidence-based Verification for Real World Information Needs. - Tae Soo Kim, Jonathan D. Jones, Gregory D. Hager:
Motion Guided Attention Fusion to Recognize Interactions from Videos. - A. K. M. Bahalul Haque, A. K. M. Najmul Islam, Sami Hyrynsalmi, Bilal Naqvi, Kari Smolander:
GDPR Compliant Blockchains-A Systematic Literature Review. - Max Bain, Arsha Nagrani, Gül Varol, Andrew Zisserman:
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval. - Bo Chen, Calvin Hawkins, Kasra Yazdani, Matthew T. Hale:
Edge Differential Privacy for Algebraic Connectivity of Graphs. - Ngoc Phuoc An Vo, Irene Manotas, Octavian Popescu, Algimantas Cerniauskas, Vadim Sheinin:
Recognizing and Splitting Conditional Sentences for Automation of Business Processes Management. - Vilém Zouhar:
Sampling and Filtering of Neural Machine Translation Distillation Data. - Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind:
Unconstrained Scene Generation with Locally Conditioned Radiance Fields. - Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Benjamin I. P. Rubinstein, Ce Zhang, Bo Li:
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness. - Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, Noah Snavely:
PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting. - Yen-Chi Cheng, Chieh Hubert Lin, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Ming-Hsuan Yang:
In&Out : Diverse Image Outpainting via GAN Inversion. - Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides:
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study. - Ajay Jain, Matthew Tancik, Pieter Abbeel:
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis. - Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong:
Group-Free 3D Object Detection via Transformers. - Jong-Chyi Su, Zezhou Cheng, Subhransu Maji:
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. - Jiaming Sun, Zehong Shen, Yuang Wang, Hujun Bao, Xiaowei Zhou:
LoFTR: Detector-Free Local Feature Matching with Transformers. - Jiaming Sun, Yiming Xie, Linghao Chen, Xiaowei Zhou, Hujun Bao:
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video. - Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer:
Multiview Pseudo-Labeling for Semi-supervised Learning from Video. - Ye Yuan, Shih-En Wei, Tomas Simon, Kris Kitani, Jason M. Saragih:
SimPoE: Simulated Character Control for 3D Human Pose Estimation. - Matthew F. Causley:
The Gamma Function via Interpolation. - Dylan R. Ashley
, Anssi Kanervisto, Brendan Bennett:
Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search. - Pablo R. Palafox, Aljaz Bozic, Justus Thies, Matthias Nießner, Angela Dai:
NPMs: Neural Parametric Models for 3D Deformable Shapes. - Michael Schmitt, Yu-Lun Wu:
Remote Sensing Image Classification with the SEN12MS Dataset. - Qing He, Zhiping Xiu, Thilo Köhler, Jilong Wu:
Multi-rate attention architecture for fast streamable Text-to-speech spectrum modeling. - Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani:
BRepNet: A topological message passing system for solid models. - Yoonjae Lee, Efstathios Bakolas:
Optimal Strategies for Guarding a Compact and Convex Target Area: A Differential Game Approach. - Michelle Feng, Abigail Hickok, Mason A. Porter:
Topological Data Analysis of Spatial Systems. - Zaharah Allah Bukhsh, Aaqib Saeed, Remco M. Dijkman:
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network. - Heejung W. Chung, Avoy Datta, Chris Waites:
GABO: Graph Augmentations with Bi-level Optimization. - Mehran Meidani, Maxime Lamothe, Shane McIntosh:
Assessing the Exposure of Software Changes: The DiPiDi Approach. - Niko Brümmer, Luciana Ferrer, Albert Swart:
Out of a hundred trials, how many errors does your speaker verifier make? - Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Lennart Svensson, Henk Wymeersch:
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning. - Kürsat Tekbiyik, Günes Karabulut-Kurt, Ali Riza Ekti, Halim Yanikomeroglu:
Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communications. - Ankit Goel, Dennis S. Bernstein:
Two Modifications of the Unscented Kalman Filter that Specialize to the Kalman Filter for Linear Systems. - Gopal Sarma, James Koppel, Gregory Malecha, Patrick Schultz, Eric Drexler, Ramana Kumar, Cody Roux, Philip Zucker:
Formal Methods for the Informal Engineer: Workshop Recommendations. - Yunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda T. Gervasio:
Confidence Calibration for Domain Generalization under Covariate Shift. - Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, Derek Hoiem:
Towards General Purpose Vision Systems. - Junde Li, Mahabubul Alam, Congzhou M. Sha
, Jian Wang, Nikolay V. Dokholyan, Swaroop Ghosh:
Drug Discovery Approaches using Quantum Machine Learning. - Warren L. Hare, Gabriel Jarry-Bolduc, Chayne Planiden:
Limiting behaviour of the generalized simplex gradient as the number of points tends to infinity on a fixed shape in R^n. - Zhuang Liu, Trevor Darrell, Evan Shelhamer:
Confidence Adaptive Anytime Pixel-Level Recognition. - D. Ellis Hershkowitz, Jason Li:
O(1) Steiner Point Removal in Series-Parallel Graphs. - Silvija Kokalj-Filipovic, Paul Toliver, William Johnson, Rob Miller:
Reservoir-Based Distributed Machine Learning for Edge Operation. - André F. T. Martins:
Reconciling the Discrete-Continuous Divide: Towards a Mathematical Theory of Sparse Communication. - Thomas Bourgeat, Ian Clester, Andres Erbsen, Samuel Gruetter, Andrew Wright, Adam Chlipala:
A Multipurpose Formal RISC-V Specification. - Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy:
StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets. - Gabriel Ferrettini, Elodie Escriva, Julien Aligon
, Jean-Baptiste Excoffier, Chantal Soulé-Dupuy:
Coalitional strategies for efficient individual prediction explanation. - Ranya Aloufi, Hamed Haddadi, David Boyle:
Configurable Privacy-Preserving Automatic Speech Recognition. - Tumi Moeng, Sheldon Reay, Aaron Daniels, Jan Buys:
Canonical and Surface Morphological Segmentation for Nguni Languages. - Stuart Mesham, Luc Hayward, Jared Shapiro, Jan Buys:
Low-Resource Language Modelling of South African Languages. - Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz:
MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation. - Mohammad Hassan Jahanandish, Kaitlin G. Rabe, Abhishek Srinivas, Nicholas P. Fey, Kenneth Hoyt:
Task-Invariant Learning of Continuous Joint Kinematics during Steady-State and Transient Ambulation Using Ultrasound Sensing. - Xibai Lou, Yang Yang, Changhyun Choi:
Collision-Aware Target-Driven Object Grasping in Constrained Environments. - Filipo Sharevski, Raniem Alsaadi, Peter Jachim, Emma Pieroni:
Misinformation Warning Labels: Twitter's Soft Moderation Effects on COVID-19 Vaccine Belief Echoes. - Peter Jachim, Filipo Sharevski, Emma Pieroni:
"TL;DR: " Out-of-Context Adversarial Text Summarization and Hashtag Recommendation. - Derek Chen, Howard Chen, Yi Yang, Alex Lin, Zhou Yu:
Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems. - Kiran Mantripragada, Phuong D. Dao, Yuhong He, Faisal Z. Qureshi:
A study on the effects of compression on hyperspectral image classification. - Miikka Silfverberg, Francis M. Tyers, Garrett Nicolai, Mans Hulden:
Do RNN States Encode Abstract Phonological Processes? - Alok Tripathy, Oded Green:
Scalable Hash Table for NUMA Systems. - Shyamgopal Karthik, Ameya Prabhu, Puneet K. Dokania, Vineet Gandhi
:
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks. - Haiyan Wang, Jiahao Pang, Muhammad Asad Lodhi, Yingli Tian, Dong Tian:
FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds. - Sabah Al-Fedaghi:
Modeling in Systems Engineering: Conceptual Time Representation. - Chao Liu, Qian Lin, Hyun Kim, Mark Yim:
SMORES-EP, a Modular Robot with Parallel Self-assembly. - Saketh Reddy Karra, Theja Tulabandhula:
Choice-Aware User Engagement Modeling andOptimization on Social Media. - Zoya Bylinskii, Lore Goetschalckx, Anelise Newman, Aude Oliva:
Memorability: An image-computable measure of information utility. - Ankitesh K. Singh, Hilmi E. Egilmez, Reza Pourreza, Muhammed Z. Coban, Marta Karczewicz, Taco S. Cohen:
A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space. - Subhankar Roy, Evgeny Krivosheev, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation. - Asmae Benali, Bouchra El Asri:
A Context Aware and Self Adaptation Strategy for Cloud Service Selection and Configuration in Run Time. - Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy:
CURIE: An Iterative Querying Approach for Reasoning About Situations. - Asmae Benali, Bouchra El Asri, Houda Kriouile:
Toward Sensor and Software Product Line Based Context Aware Cloud Environment Assignment. - Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li, Mingyuan Zhou:
Partition-Guided GANs. - Minsig Han, Hanchang Seo, Ameha Tsegaye Abebe, Chung Gu Kang:
Deep Learning-based Codebook Design for Code-domain Non-Orthogonal Multiple Access Achieving a Single-User Bit Error Rate Performance. - Asmae Benali, Bouchra El Asri:
Towards Rigorous Selection and Configuration of Cloud Services: Research Methodology. - Oguz Kaan Yüksel, Enis Simsar, Ezgi Gülperi Er, Pinar Yanardag:
LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions. - Adrián Silveira, Gustavo Betarte, Maximiliano Cristiá, Carlos Daniel Luna:
A Formal Analysis of the MimbleWimble Cryptocurrency Protocol. - David R. Mortensen, Jordan Picone, Xinjian Li, Kathleen Siminyu:
Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments. - Andrew Z. Hou, Ze Zhang, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu:
Towards High Fidelity Face Relighting with Realistic Shadows. - Jingxi Xu, Bruce D. Lee, Nikolai Matni, Dinesh Jayaraman
:
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? - Yifan Sun, Yixuan Zhang, Ali Mosallaei
, Michael D. Shah, Cody Dunne, David R. Kaeli:
Daisen: A Framework for Visualizing Detailed GPU Execution. - Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang:
Learning to Filter: Siamese Relation Network for Robust Tracking. - Guntur Dharma Putra, Volkan Dedeoglu, Salil S. Kanhere, Raja Jurdak, Aleksandar Ignjatovic:
Trust-based Blockchain Authorization for IoT. - Yiling Chen, Alon Eden, Juntao Wang:
Cursed yet Satisfied Agents. - Pingchuan Ma, Tao Du, John Z. Zhang, Kui Wu, Andrew Spielberg, Robert K. Katzschmann, Wojciech Matusik:
DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation. - Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang:
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python. - A. Vinay, Aviral Joshi, Hardik Mahipal Surana, Harsh Garg, K. N. Balasubramanya Murthy, S. Natarajan:
Unconstrained Face Recognition using ASURF and Cloud-Forest Classifier optimized with VLAD. - Waqar Hussain, Didar Zowghi, Tony Clear, Stephen G. MacDonell, Kelly Blincoe:
Managing Requirements Change the Informal Way: When Saying 'No' is Not an Option. - Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai:
TFill: Image Completion via a Transformer-Based Architecture. - Kangfu Mei, Shenglong Ye, Rui Huang:
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom. - Alessandra Lumini, Loris Nanni, Gianluca Maguolo:
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation. - Yang Zhao, Hao Zhang:
Analyzing and Quantifying Generalization in Convolutional Neural Networks. - Hao Peng
, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He:
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks. - Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai:
The Spatially-Correlative Loss for Various Image Translation Tasks. - Feng Liu, Luan Tran, Xiaoming Liu:
Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction. - Jimy Cai Huang, Hanna Kurniawati:
An NCAP-like Safety Indicator for Self-Driving Cars. - Yufei Feng, Binbin Hu, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou:
GRN: Generative Rerank Network for Context-wise Recommendation. - Zongyu Li, Kenneth Lange, Jeffrey A. Fessler:
Algorithms for Poisson Phase Retrieval. - Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin:
Self-supervised Video Representation Learning by Context and Motion Decoupling. - Philip Derbeko, Shlomi Dolev:
PolyDNN: Polynomial Representation of NN for Communication-less SMPC Inference. - Jumyung Chang, Vinicius C. Azevedo, Christopher Batty:
Curl-Flow: Pointwise Incompressible Velocity Interpolation forGrid-Based Fluids. - Jaime Caballero, Francisco Vergara, Randal Miranda, José Serracín:
Inference of Recyclable Objects with Convolutional Neural Networks. - Anam Ahmad Khan, Joshua Newn, Ryan Kelly, Namrata Srivastava, James Bailey, Eduardo Velloso:
GAVIN: Gaze-Assisted Voice-Based Implicit Note-taking. - Khwaja Mutahir Ahmad, Gang He, Wenxin Yu, Xiaochuan Xu, Jay Kumar, Muhammad Asim Saleem:
A Survey on Semi-parametric Machine Learning Technique for Time Series Forecasting. - Matvey Soloviev, Joseph Y. Halpern:
Security Properties as Nested Causal Statements. - Zilong Huang, Wentian Hao, Xinggang Wang, Mingyuan Tao, Jianqiang Huang, Wenyu Liu, Xian-Sheng Hua:
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation. - Aryia Dattamajumdar:
An early warning AI-powered portable system to reduce workload and inspect environmental damage after natural disasters. - Xiaotian Chen, Yuwang Wang, Xuejin Chen, Wenjun Zeng:
S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation. - Yantian Zha, Siddhant Bhambri, Lin Guan:
Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping. - Waqar Hussain, Tony Clear, Stephen G. MacDonell:
Emerging Trends for Global DevOps: A New Zealand Perspective. - Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Jinqiao Wang, Ming Tang:
Adaptive Class Suppression Loss for Long-Tail Object Detection. - Seunghwan Min, Sung Gwan Park, Kunsoo Park, Dora Giammarresi, Giuseppe F. Italiano, Wook-Shin Han:
Symmetric Continuous Subgraph Matching with Bidirectional Dynamic Programming. - Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. - Wooram Kang, Mayank Patwari:
Low Dose Helical CBCT denoising by using domain filtering with deep reinforcement learning. - Duo Lu, Varun C. Jammula, Steven Como, Jeffrey Wishart, Yan Chen, Yezhou Yang:
CAROM - Vehicle Localization and Traffic Scene Reconstruction from Monocular Cameras on Road Infrastructures. - Vineeth Rakesh, Swayambhoo Jain:
Efficacy of Bayesian Neural Networks in Active Learning. - Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen:
FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance. - Jongyoun Noh, Sanghoon Lee, Bumsub Ham:
HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection. - Junghyup Lee, Dohyung Kim, Bumsub Ham:
Network Quantization with Element-wise Gradient Scaling. - Youngmin Oh, Beomjun Kim, Bumsub Ham:
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation. - Michael Puentes, Diana Novoa, John Delgado Nivia, Carlos Jaime Barrios Hernández, Oscar Carrillo, Frédéric Le Mouël:
Datacentric analysis to reduce pedestrians accidents: A case study in Colombia. - Jérémy Berthomieu, Andrew Ferguson, Mohab Safey El Din:
On the computation of asymptotic critical values of polynomial maps and applications. - Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
:
Fast-adapting and Privacy-preserving Federated Recommender System. - Kuan Zhu, Haiyun Guo, Shiliang Zhang, Yaowei Wang, Gaopan Huang, Honglin Qiao, Jing Liu, Jinqiao Wang, Ming Tang:
AAformer: Auto-Aligned Transformer for Person Re-Identification. - Sangmin Lee, Hak Gu Kim, Dae Hwi Choi, Hyung-Il Kim, Yong Man Ro:
Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning. - Iaroslav Bespalov, Nazar Buzun, Oleg Kachan, Dmitry V. Dylov:
Data Augmentation with Manifold Barycenters. - Theo Jaunet, Corentin Kervadec, Romain Vuillemot, Grigory Antipov, Moez Baccouche, Christian Wolf:
VisQA: X-raying Vision and Language Reasoning in Transformers. - Yash Khanna, Anand Louis, Rameesh Paul:
Independent Sets in Semi-random Hypergraphs. - Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng:
Sketch and Customize: A Counterfactual Story Generator. - Aishwarya Gupta, Avik Pal, Bholeshwar Khurana, Lakshay Tyagi
, Ashutosh Modi:
Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness. - Dongha Lee, Sehun Yu, Hwanjo Yu:
Multi-Class Data Description for Out-of-distribution Detection. - Jiang Che, Wanyue Xu, Xiaotian Zhou
, Zhongzhi Zhang, Haibin Kan:
Some Combinatorial Problems in Power-law Graphs. - Tianjiao Li, Jun Liu, Wei Zhang, Yun Ni, Wenqian Wang, Zhiheng Li:
UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles. - Xuelun Shen, Cheng Wang, Xin Li, Qian Hu, Jingyi Zhang:
A Detector-oblivious Multi-arm Network for Keypoint Matching. - Angelo A. Salatino, Francesco Osborne, Thiviyan Thanapalasingam, Enrico Motta:
The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles. - Bedir Tekinerdogan, Kaan Özcan, Sevil Yagiz, Iskender Yakin:
Feature-Driven Survey of Physical Protection Systems. - Thomas Rojat, Raphaël Puget, David Filliat, Javier Del Ser, Rodolphe Gelin, Natalia Díaz Rodríguez:
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey. - Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Multitask Recalibrated Aggregation Network for Medical Code Prediction. - Ze Ma, Yifan Yao, Pan Ji, Chao Ma:
Learning Transferable Kinematic Dictionary for 3D Human Pose and Shape Reconstruction. - Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed:
Skillful Precipitation Nowcasting using Deep Generative Models of Radar. - Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin:
An attention-based unsupervised adversarial model for movie review spam detection. - Theodoros Giannakas, Pavlos Sermpezis, Anastasios Giovanidis, Thrasyvoulos Spyropoulos, George Arvanitakis:
Fairness in Network-Friendly Recommendations. - Jiaojiao Zhao, Xinyu Li, Chunhui Liu, Bing Shuai, Hao Chen, Cees G. M. Snoek, Joseph Tighe:
TubeR: Tube-Transformer for Action Detection. - Jiahua Xu
, Nikhil Vadgama:
From banks to DeFi: the evolution of the lending market. - Blaz Bertalanic, Marko Meza, Carolina Fortuna:
Time Series Imaging for Link Layer Anomaly Classification in Wireless Networks. - Emma Chiaramello, Francesco Pinciroli, Alberico Bonalumi, Angelo Caroli, Gabriella Tognola:
Use of 'off-the-shelf' information extraction algorithms in clinical informatics: a feasibility study of MetaMap annotation of Italian medical notes. - Joze M. Rozanec, Patrik Zajec, Klemen Kenda, Inna Novalija, Blaz Fortuna, Dunja Mladenic, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia-Anna Menesidou, Rubén Alonso, Nino Cauli, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, John Soldatos:
STARdom: an architecture for trusted and secure human-centered manufacturing systems. - Umair Qudus, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Young-Koo Lee:
An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines. - Nicolas Olivain, Philipp Tiefenbacher, Jens Kohl:
Bayesian Structural Learning for an Improved Diagnosis of Cyber-Physical Systems. - Arka Sadhu, Tanmay Gupta, Mark Yatskar, Ram Nevatia, Aniruddha Kembhavi:
Visual Semantic Role Labeling for Video Understanding. - Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra:
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. - Jiaojiao Zhao, Cees G. M. Snoek:
LiftPool: Bidirectional ConvNet Pooling. - Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari:
Residual whiteness principle for automatic parameter selection in 𝓁2-𝓁2 image super-resolution problems. - Xuye Liu, Dakuo Wang, April Yi Wang, Lingfei Wu:
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks. - Ion Victor Gosea, Serkan Gugercin, Christopher Beattie:
Data-driven balancing of linear dynamical systems. - Amir Mohammad Naseri, Walter Lucia, Mohammad Mannan, Amr M. Youssef:
On Securing Cloud-hosted Cyber-physical Systems Using Trusted Execution Environments. - Ion Victor Gosea, Serkan Gugercin, Benjamin Unger:
Parametric model reduction via rational interpolation along parameters. - Matthew Schmittle, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics. - Benjamin Kahl:
Human Biases Preventing The Widespread Adoption Of Self-Driving Cars. - Seyedrebvar Hosseini, Burak Turhan:
A Comparison of Similarity Based Instance Selection Methods for Cross Project Defect Prediction. - Ying He, Zhili Shen, Chang Xia, Jingyu Hua, Wei Tong, Sheng Zhong:
RABA: A Robust Avatar Backdoor Attack on Deep Neural Network. - Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. - Tiago Santos, Keith Burghardt, Kristina Lerman, Denis Helic:
Limiting Tags Fosters Efficiency. - Tiago Santos, Florian Lemmerich, Denis Helic:
Surfacing Estimation Uncertainty in the Decay Parameters of Hawkes Processes with Exponential Kernels. - Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang:
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. - Chong Zheng, Shengheng Liu, Yongming Huang, Luxi Yang:
Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR Video Service. - Perceval Wajsbürt, Yoann Taillé, Xavier Tannier:
Effect of depth order on iterative nested named entity recognition models. - Igor Halperin:
Distributional Offline Continuous-Time Reinforcement Learning with Neural Physics-Informed PDEs (SciPhy RL for DOCTR-L). - Titouan Carette, Yohann D'Anello, Simon Perdrix:
Quantum Algorithms and Oracles with the Scalable ZX-calculus. 193-209 - Neil Rajiv Shirude, Sagnik Mukherjee, Tushar Shandhilya, Ananta Mukherjee, Ashutosh Modi:
IITK@LCP at SemEval 2021 Task 1: Classification for Lexical Complexity Regression Task. - Carlin MacKenzie
, Jacques D. Fleuriot, James Vaughan:
An Evaluation of the Archive of Formal Proofs. - Kyriakos Georgiou, Zbigniew Chamski, Kris Nikov, Kerstin Eder:
A Comprehensive and Accurate Energy Model for Arm's Cortex-M0 Processor. - Kumar Vijay Mishra, M. Ashok Kumar:
Hybrid and Generalized Bayesian Cramér-Rao Inequalities via Information Geometry. - Raghvendra Mall, Shameem Ahamed Puthiya Parambath, Han Yufei, Ting Yu, Sanjay Chawla:
Permutation-Invariant Subgraph Discovery. - Ryan Kavanagh:
Fairness and Observed Communication Semantics for Session-Typed Languages. - Rafael Kaufmann, Pranav Gupta, Jacob Taylor:
An active inference model of collective intelligence. - Minghang He, Minghui Liao, Zhibo Yang, Humen Zhong, Jun Tang, Wenqing Cheng, Cong Yao, Yongpan Wang, Xiang Bai:
MOST: A Multi-Oriented Scene Text Detector with Localization Refinement. - Xinjie Li, Guojia Hou, Kunqian Li:
Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denoising. - Adeyinka K. Akanbi:
ESTemd: A Distributed Processing Framework for Environmental Monitoring based on Apache Kafka Streaming Engine. - Mark Anderson, Carlos Gómez-Rodríguez:
What Taggers Fail to Learn, Parsers Need the Most. - Antoine Fond, Luca Del Pero, Nikola Sivacki, Marco Paladini:
End-to-end learning of keypoint detection and matching for relative pose estimation. - Dan A. Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, András György, Timothy A. Mann, Sven Gowal:
Defending Against Image Corruptions Through Adversarial Augmentations. - Atakan Arasan, Cagatay Basdogan, T. Metin Sezgin:
HaptiStylus: A Novel Stylus Capable of Displaying Movement and Rotational Torque Effects. - Omer Sirin, Allan Barrea, Philippe Lefèvre, Jean-Louis Thonnard, Cagatay Basdogan:
Fingerpad Contact Evolution Under Electrovibration. - (Withdrawn) SMET: Scenario-based Metamorphic Testing for Autonomous Driving Models.
- Thomas Müller
, Julian Martin Eisenschlos, Syrine Krichene
:
TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training. - Linjian Ma, Edgar Solomonik:
Fast and Accurate Randomized Algorithms for Low-rank Tensor Decompositions. - Octave Mariotti, Hakan Bilen:
Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation. - Yanyuan Qin:
Adaptive Bitrate Streaming Over Cellular Networks: Rate Adaptation and Data Savings Strategies. - Sunday C. Ngwobia, Saeedeh Shekarpour, Faisal Alshargi:
Capturing Knowledge of Emerging Entities From Extended Search Snippets. - Vlad Atanasiu, Isabelle Marthot-Santaniello:
Legibility Enhancement of Papyri Using Color Processing and Visual Illusions: A Case Study in Critical Vision. - Felix Ambellan, Stefan Zachow, Christoph von Tycowicz:
Geodesic B-Score for Improved Assessment of Knee Osteoarthritis. - Qi Fan, Deng-Ping Fan, Huazhu Fu, Chi-Keung Tang, Ling Shao, Yu-Wing Tai:
Group Collaborative Learning for Co-Salient Object Detection. - Neil Joshi, Philippe M. Burlina:
AI Fairness via Domain Adaptation. - Pengzhen Ren, Gang Xiao, Xiaojun Chang, Yun Xiao, Zhihui Li, Xiaojiang Chen:
NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex Action Recognition. - Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, Alex Hauptmann:
Scene Graphs: A Survey of Generations and Applications. - Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hannaneh Hajishirzi, Yejin Choi, Kyunghyun Cho:
NaturalProofs: Mathematical Theorem Proving in Natural Language. - Satvik Garg:
Drug Recommendation System based on Sentiment Analysis of Drug Reviews using Machine Learning. - Jason Wang, Robert E. Weiss:
Local and Global Topics in Text Modeling of Web Pages Nested in Web Sites. - Sami Diaf, Ulrich Fritsche:
Topic Scaling: A Joint Document Scaling - Topic Model Approach To Learn Time-Specific Topics. - Anastasios Tsiamis, George J. Pappas:
Linear Systems can be Hard to Learn. - Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Language-based Video Editing via Multi-Modal Multi-Level Transformer. - Yiqiu Wang, Shangdi Yu, Yan Gu, Julian Shun:
Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering. - Yu Zhang, Martijn Tennekes, Tim J. A. de Jong, R. Lyana Curier, Bob Coecke, Min Chen:
Using Simulation to Aid the Design and Optimization of Intelligent User Interfaces for Quality Assurance Processes in Machine Learning. - Matthias Christandl, Omar Fawzi, Hoang Ta, Jeroen Zuiddam:
Communication Complexity, Corner-Free Sets and the Symmetric Subrank of Tensors. - Harshita Chopra, Aniket Vashishtha, Ridam Pal, Ashima, Ananya Tyagi, Tavpritesh Sethi:
Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings. - Benjamin Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze:
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference. - Spencer He, Ryan Liu:
Developing a New Autism Diagnosis Process Based on a Hybrid Deep Learning Architecture Through Analyzing Home Videos. - Handing Xu, Zhenguo Nie, Qingfeng Xu, Xinjun Liu:
SuperMeshing: A Novel Method for Boosting the Mesh Density in Numerical Computation within 2D Domain. - Venera Tomaselli, Giulio Giacomo Cantone, Valeria Mazzeo:
The polarising effect of Review Bomb. - Dmitriy Y. Anistratov:
Multilevel Iteration Method for Binary Stochastic Transport Problems. - Vitor Enes, Carlos Baquero, Alexey Gotsman, Pierre Sutra:
Efficient Replication via Timestamp Stability (Extended Version). - Michiel Overeem, Marten Spoor, Slinger Jansen, Sjaak Brinkkemper:
An Empirical Characterization of Event Sourced Systems and Their Schema Evolution - Lessons from Industry. - Karl Stelzner, Kristian Kersting, Adam R. Kosiorek:
Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation. - Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan:
Detecting Anomalies Through Contrast in Heterogeneous Data. - Wenjie Luo, Zhenyu Yan, Qun Song, Rui Tan:
PhyAug: Physics-Directed Data Augmentation for Deep Sensing Model Transfer in Cyber-Physical Systems. - Lam Pham, Chris Baume, Qiuqiang Kong, Tassadaq Hussain, Wenwu Wang, Mark D. Plumbley:
An Audio-Based Deep Learning Framework ForBBC Television Programme Classification. - Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez:
Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. - Lucas Porto Maziero, Fábio Luiz Usberti, Celso Cavellucci:
Branch-and-cut algorithms for the covering salesman problem. - Antonio Sánchez-Bayón, Miguel Ángel García-Ramos Lucero, Annie Ng Cheng San, Choy Johnn Yee, Krishna Moorthy, Alex Foo Tun Lee, Angelita Kithatu-Kiwekete, Shikha Vyas-Doorgapersad, Anthony Kiryagana Isabirye, Nobukhosi Dlodlo, Lydia Mbati, Edmore Tarambiwa, Chengedzai Mafini, Anastas Djurovski, Ephrem Habtemichael Redda, Jhalukpreya Surujlal:
Trends in eBusiness and eGovernment. - Colin White, Arber Zela, Binxin Ru, Yang Liu, Frank Hutter:
How Powerful are Performance Predictors in Neural Architecture Search? - Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Petr Novotný, Dorde Zikelic:
Proving Non-termination by Program Reversal. - Fang Li
, Huaduo Wang, Gopal Gupta:
grASP: A Graph Based ASP-Solver and Justification System. - Lavone Rodolph, M. S. S. Q. Zulkar Nine, Luigi Di Tacchio, Tevfik Kosar:
Energy-saving Cross-layer Optimization of Big Data Transfer Based on Historical Log Analysis. - Ana Ozaki:
Learning Description Logic Ontologies. Five Approaches. Where Do They Stand? - Amanpreet Singh, Martin Bauer, Sarang C. Joshi:
Physics Informed Convex Artificial Neural Networks (PICANNs) for Optimal Transport based Density Estimation. - Daniel O. Martínez-Rivillas, Ruy J. G. B. de Queiroz:
Solving Homotopy Domain Equations. - Luc Berger-Vergiat, Brian Kelley, Sivasankaran Rajamanickam, Jonathan J. Hu, Katarzyna Swirydowicz, Paul Mullowney, Stephen J. Thomas, Ichitaro Yamazaki:
Two-Stage Gauss-Seidel Preconditioners and Smoothers for Krylov Solvers on a GPU cluster. - Mihnea C. Moldoveanu, Joel A. C. Baum:
Knowledge, Trust, Security and Covertness In Massively Distributed Social Platforms: An Epistemic Networks Approach. - Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry Davis, Heng Wang:
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories. - Sarthak Dash, Nandana Mihindukulasooriya, Alfio Gliozzo, Mustafa Canim:
Type Prediction Systems. - Hao Deng, Praveen S. Vulimiri, Albert C. To:
An efficient 146-line 3D sensitivity analysis code of stress-based topology optimization written in MATLAB. - Inon Peled, Filipe Rodrigues, Francisco C. Pereira:
Modeling Censored Mobility Demand through Quantile Regression Neural Networks. - Lynnette Hui Xian Ng, Kathleen M. Carley:
The Coronavirus is a Bioweapon: Analysing Coronavirus Fact-Checked Stories. - Loïc Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias:
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. - Mangqing Guo, Mustafa Cenk Gursoy:
Channel Estimation for Intelligent Reflecting Surface Assisted Wireless Communications. - Boris S. Kashin, Vladimir N. Temlyakov:
A remark on discretization of the uniform norm. - Athanasios Tsiligkaridis, Theodoros Tsiligkaridis:
Misclassification-Aware Gaussian Smoothing improves Robustness against Domain Shifts. - Ravikiran Mane, Effie Chew, Karen Sui Geok Chua, Kai Keng Ang, Neethu Robinson, A. Prasad Vinod, Seong-Whan Lee, Cuntai Guan:
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface. - Leila Namvari Tazeh-Kand, Saeid Pashazadeh:
Investigating the Reliability in Three RAID Storage Models and Effect of Ordering Replicas on Disks. - Stephanie Weirich, Benjamin C. Pierce:
ICFP 2020 Post-Conference Report. - Darshana Balakrishnan, Carl Nuessle, Oliver Kennedy, Lukasz Ziarek:
TreeToaster: Towards an IVM-Optimized Compiler. - Peter D. Turney:
Major Cooperative Transitions and Management Theory in the Game of Life. - Benjamin Kahl:
Autonomous Driving Data Chain & Interfaces. - Daniel Bielich, Julien Langou, Stephen J. Thomas, Kasia Swirydowicz, Ichitaro Yamazaki, Erik G. Boman:
Low-Synch Gram-Schmidt with Delayed Reorthogonalization for Krylov Solvers. - Ayesha Arshad, Attique Ur Rehman, Sabeen Javaid, Tahir Muhammad Ali, Javed Anjum Sheikh, Muhammad Azeem:
A Systematic Literature Review on Phishing and Anti-Phishing Techniques. - Zhenzhen Weng, Mehmet Giray Ogut, Shai Limonchik, Serena Yeung:
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision. - Takuya Kiyokawa, Hiroki Katayama, Yuya Tatsuta, Jun Takamatsu, Tsukasa Ogasawara:
Robotic Waste Sorter with Agile Manipulation and Quickly Trainable Detector. - Kailash Subramanian, Joshua M. Williams, Daniel C. DeAnda, Aditya A. Agrawal, Andrei Racila, Aditi R. Prabhu, Lawrence Redlinger, Christopher Wendt, Ravi Prakash:
Small World Student Network at the University of Texas at Dallas in Times of Social Distancing. - Aatif Jiwani, Shubhrakanti Ganguly, Chao Ding, Nan Zhou, David M. Chan:
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery. - Qingyun Dou, Yiting Lu, Potsawee Manakul, Xixin Wu, Mark J. F. Gales:
Attention Forcing for Machine Translation. - Kenneth Holstein, Vincent Aleven:
Designing for human-AI complementarity in K-12 education. - Benno Stein, Bor-Yuh Evan Chang, Manu Sridharan:
Demanded Abstract Interpretation (Extended Version). - Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee:
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification. - Azarakhsh Keipour, Guilherme A. S. Pereira, Rogerio Bonatti, Rohit Garg, Puru Rastogi, Geetesh Dubey, Sebastian A. Scherer:
Visual Servoing Approach for Autonomous UAV Landing on a Moving Vehicle. - Amjed Tahir, Sherlock A. Licorish, Stephen G. MacDonell:
Feature Evolution and Reuse - An Exploratory Study of Eclipse. - Sjoerd Dirksen, Johannes Maly, Holger Rauhut:
Covariance estimation under one-bit quantization. - Stefano M. P. C. Souza, Daniel G. Silva:
Monte Carlo execution time estimation for Privacy-preserving Distributed Function Evaluation protocols. - Arnau Rovira-Sugranes, Fatemeh Afghah, Jacob Chakareski, Abolfazl Razi:
A Review of AI-enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook. - Zhaoxuan Zhu, Shobhit Gupta
, Nicola Pivaro, Shreshta Rajakumar Deshpande, Marcello Canova:
A GPU Implementation of a Look-Ahead Optimal Controller for Eco-Driving Based on Dynamic Programming. - Astuti Sharma, Tarun Kalluri, Manmohan Chandraker:
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation. - Akshat Gupta, Sai Krishna Rallabandi, Alan W. Black:
Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems. - Jinghui Liao, Fengwei Zhang, Wenhai Sun, Weisong Shi:
Speedster: A TEE-assisted State Channel System. - Jonathan Dunn, Tom Coupe, Benjamin Adams:
Measuring Linguistic Diversity During COVID-19. - Bowen Shi, Diane Brentari, Greg Shakhnarovich, Karen Livescu:
Fingerspelling Detection in American Sign Language. - Emmett Padway, Hiroaki Nishikawa:
Resolving Confusion Over Third Order Accuracy of U-MUSCL. - Jonathan Dunn:
Representations of Language Varieties Are Reliable Given Corpus Similarity Measures. - Jonathan Dunn:
Multi-Unit Directional Measures of Association: Moving Beyond Pairs of Words. - Jonathan Dunn:
Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGs. - Palak Tiwary, Sanjida Ahmed:
Multimedia Technology Applications and Algorithms: A Survey. - Xizi Chen, Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui:
Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation. - Jeffrey Tumminia, Amanda Kuznecov, Sophia Tsilerides, Ilana Weinstein, Brian McFee, Michael Picheny, Aaron R. Kaufman:
Diarization of Legal Proceedings. Identifying and Transcribing Judicial Speech from Recorded Court Audio. - Haoyu Huang, Shahram Ghandeharizadeh:
Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store. - Jonathan Dunn:
Global Syntactic Variation in Seven Languages: Towards a Computational Dialectology. - Tete Ji, Chen Wang, Lihua Xie:
Towards Real-time Semantic RGB-D SLAM in Dynamic Environments. - Zhuyu Yao, Jiangbo Ai, Boxun Li, Chi Zhang:
Efficient DETR: Improving End-to-End Object Detector with Dense Prior. - Wolfgang Utschick, Valentina Rizzello, Michael Joham, Zhengxiang Ma, Leonard Piazzi:
Learning the CSI Recovery in FDD Systems. - Yan Zhang, Fei Zhao, Zhiwei Liao:
A DMP-based Framework for Efficiently Generating Complete Stiffness Profiles of Human-like Variable Impedance Skill from Demonstrations. - Joy Hsu, Wah Chiu, Serena Yeung:
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images. - Florian Dandl, Roman Engelhardt, Klaus Bogenberger:
On the Dynamism of User Rejections in Mobility-on-Demand Systems. - Antonios Katsarakis, Yijun Ma, Zhaowei Tan, Andrew Bainbridge, Matthew Balkwill, Aleksandar Dragojevic, Boris Grot, Bozidar Radunovic, Yongguang Zhang:
Zeus: Locality-aware Distributed Transactions. - Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub:
Uncertainty for Identifying Open-Set Errors in Visual Object Detection. - Leonardo Rossi, Akbar Karimi
, Andrea Prati:
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing. - Hossein Moosaei
, Ahmad Mousavi, Milan Hladík, Zheming Gao:
Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification. - Armin Beer, Michael Felderer, Tobias Lorey, Stefan Mohacsi:
Aspects of Sustainable Test Processes. - Harish Doddi, Saurav Talukdar, Murti V. Salapaka:
Energetics of Feedback: Application to Memory Erasure. - Santiago Matalonga, Domenico Amalfitano, Andréa Cristina de Souza Doreste, Anna Rita Fasolino, Guilherme H. Travassos:
Alternatives for Testing of Context-Aware Contemporary Software Systems in industrial settings: Results from a Rapid review. - Masaki Kitayama, Hitoshi Kiya:
Generation of Gradient-Preserving Images allowing HOG Feature Extraction. - Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin:
Random Features for the Neural Tangent Kernel. - Young Jin Heo, Young Ju Choi, Young-Woon Lee, Byung-Gyu Kim:
Deepfake Detection Scheme Based on Vision Transformer and Distillation. - Ermin Sakic, Petra Vizarreta, Wolfgang Kellerer:
SEER: Performance-Aware Leader Election in Single-Leader Consensus. - Ugo de'Liguoro, Riccardo Treglia:
Intersection Types for a Computational Lambda-Calculus with Global State. - Md. Tahmid Rashid, Na Wei, Dong Wang:
A Survey on Social-Physical Sensing. - Diego Gabriel Krivochen:
From n-grams to trees in Lindenmayer systems. - Akash Gangwar, Sabhay Jain, Shubham Sourav, Ashutosh Modi:
Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data. - Erik Burman, Riccardo Puppi:
Two mixed finite element formulations for the weak imposition of the Neumann boundary conditions for the Darcy flow. - Teimour Hosseinalizadeh
, Fatih Turkmen
, Nima Monshizadeh:
Private Computation of Polynomials over Networks. - Hayate Iso, Xiaolan Wang, Yoshihiko Suhara, Stefanos Angelidis
, Wang-Chiew Tan:
Convex Aggregation for Opinion Summarization. - Ioannis Kakogeorgiou, Konstantinos Karantzalos:
Evaluating Explainable Artificial Intelligence Methods for Multi-label Deep Learning Classification Tasks in Remote Sensing. - Junbo Zhang, Zhiwen Zhang, Yongqing Wang, Zhiyong Yan, Qiong Song, Yukai Huang, Ke Li, Daniel Povey, Yujun Wang:
speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment. - Tsubasa Murate, Takashi Watanabe, Masaki Yamada:
Learning Mobile CNN Feature Extraction Toward Fast Computation of Visual Object Tracking. - Yinan Li, Zhibing Sun, Jun Liu:
A Specification-Guided Framework for Temporal Logic Control of Nonlinear Systems. - Itamar Cohen, Gil Einziger, Gabriel Scalosub:
Self-adjusting Advertisement of Cache Indicators with Bandwidth Constraints. - HaoChih Lin, Baopu Li, Xin Zhou, Jiankun Wang, Max Q.-H. Meng:
No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODE. - Roberto Gorrieri:
Place Bisimilarity is Decidable, Indeed! - Tsz Kin Lam, Mayumi Ohta
, Shigehiko Schamoni, Stefan Riezler:
On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR. - Yash Khare, Viraj Bagal, Minesh Mathew, Adithi Devi, U. Deva Priyakumar, C. V. Jawahar:
MMBERT: Multimodal BERT Pretraining for Improved Medical VQA. - Lior Aloni, Omer Bobrowski, Ronen Talmon:
Joint Geometric and Topological Analysis of Hierarchical Datasets. - Marco Casadio, Matthew L. Daggitt, Ekaterina Komendantskaya, Wen Kokke, Daniel Kienitz, Rob Stewart:
Property-driven Training: All You (N)Ever Wanted to Know About. - Tatsuya Chuman, Hitoshi Kiya:
Block Scrambling Image Encryption Used in Combination with Data Augmentation for Privacy-Preserving DNNs. - Zicheng Ye, Huazi Zhang, Rong Li, Jun Wang, Guiying Yan, Zhiming Ma:
Improving the Gilbert-Varshamov Bound by Graph Spectral Method. - Derek Lim, Xiuyu Li, Felix Hohne, Ser-Nam Lim:
New Benchmarks for Learning on Non-Homophilous Graphs. - Nuno M. Garcia:
The Internet Protocol - Past, some current limitations and a glimpse of a possible future. - Rui Liu, Berrak Sisman, Haizhou Li:
Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability. - Muhammad Jamal Shehab, Bekir Sait Ciftler, Tamer Khattab, Mohamed M. Abdallah, Daniele Trinchero:
Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA. - Lei Shi:
A Design Process of Visual Analytics Applications using Conceptual Graph. - Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Robert Schober:
Simultaneously Transmitting And Reflecting (STAR) RIS Aided Wireless Communications. - Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu:
A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice? - Md. Shamsujjoha, John C. Grundy, Li Li, Hourieh Khalajzadeh, Qinghua Lu:
Human-Centric Issues in eHealth App Development and Usage: A Preliminary Assessment. - Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua:
Graph Contrastive Clustering. - Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo:
Aggregated Contextual Transformations for High-Resolution Image Inpainting. - Weizhu Bao, Quan Zhao:
A structure-preserving parametric finite element method for surface diffusion. - Austin Dukes, Andrea Ferraguti, Giacomo Micheli:
Optimal Selection for Good Polynomials of Degree up to Five. - Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar:
Unsupervised Domain Adaptation with Global and Local Graph Neural Networks in Limited Labeled Data Scenario: Application to Disaster Management. - Jorino van Rhijn, Cornelis W. Oosterlee, Lech A. Grzelak, Shuaiqiang Liu:
Monte Carlo Simulation of SDEs using GANs. - Anay Mehrotra, Ayush Bansal, Awanish Pandey, Subhajit Roy:
Input Validation with Symbolic Execution. - Daniel Drzisga, Tobias Köppl, Barbara I. Wohlmuth:
Semi matrix-free twogrid shifted Laplacian preconditioner for the Helmholtz equation with near optimal shifts. - Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev:
COHORTNEY: Deep Clustering for Heterogeneous Event Sequences. - Imane Guellil, Ahsan Adeel, Faiçal Azouaou, Mohamed Boubred, Yousra Houichi, Akram Abdelhaq Moumna:
Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English. - Hideki Kawahara, Toshie Matsui, Kohei Yatabe, Ken-Ichi Sakakibara, Minoru Tsuzaki, Masanori Morise, Toshio Irino:
Mixture of orthogonal sequences made from extended time-stretched pulses enables measurement of involuntary voice fundamental frequency response to pitch perturbation. - Hao Xiong, Huanhui Cao, Lin Zhang, Wenjie Lu:
A Dynamics Perspective of Pursuit-Evasion Games of Intelligent Agents with the Ability to Learn. - Christian Pilato, Francesco Regazzoni:
High-Level Synthesis of Security Properties via Software-Level Abstractions. - Xueyuan Wang, Mustafa Cenk Gursoy:
Uplink Coverage in Heterogeneous mmWave Cellular Networks with Clustered Users. - Stephanie Soldavini, Christian Pilato:
Compiler Infrastructure for Specializing Domain-Specific Memory Templates. - Mark Mazumder, Colby R. Banbury, Josh Meyer, Pete Warden, Vijay Janapa Reddi:
Few-Shot Keyword Spotting in Any Language. - Namgil Lee, Heejung Yang, Hojin Yoo:
A surrogate loss function for optimization of Fβ score in binary classification with imbalanced data. - Yujie Qin
, Mustafa A. Kishk
, Mohamed-Slim Alouini
:
On the Influence of Charging Stations Spatial Distribution on Aerial Wireless Networks. - Mahendra Panagoda, Tyrus Berry, Harbir Antil:
Convergence Analysis of the Rank-Restricted Soft SVD Algorithm. - Hosein Mohebbi, Ali Modarressi, Mohammad Taher Pilehvar:
Exploring the Role of BERT Token Representations to Explain Sentence Probing Results. - Habtamu Fanta, Zhiwen Shao, Lizhuang Ma:
"Forget" the Forget Gate: Estimating Anomalies in Videos using Self-contained Long Short-Term Memory Networks. - Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas D. Lane:
Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions. - Edgar A. Bernal:
Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization. - Alina Vretinaris, Chuan Lei, Vasilis Efthymiou, Xiao Qin, Fatma Özcan:
Medical Entity Disambiguation Using Graph Neural Networks. - Negin Majidi, Ehsan Amid, Hossein Talebi, Manfred K. Warmuth:
Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond. - Rehana Mahfuz, Rajeev Sahay, Aly El Gamal:
Mitigating Gradient-based Adversarial Attacks via Denoising and Compression. - Yang Gao, Yi-Fan Li, Swarup Chandra, Latifur Khan, Bhavani Thuraisingham:
Towards Self-Adaptive Metric Learning On the Fly. - Lars Lindemann, Nikolai Matni, George J. Pappas:
STL Robustness Risk over Discrete-Time Stochastic Processes. - Elyes Balti, Brian L. Evans:
Adaptive Self-Interference Cancellation for Full-Duplex Wireless Communication Systems. - Tasmia Tasrin, Md Sultan Al Nahian, Habarakadage Perera, Brent Harrison:
Influencing Reinforcement Learning through Natural Language Guidance. - Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, Yingnian Wu:
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. - Steve Counsell, Tracy Hall, Thomas Shippey, David Bowes, Amjed Tahir, Stephen G. MacDonell:
Assert Use and Defectiveness in Industrial Code. - Zhiqi Chen, Ran Wang, Haojie Liu, Yao Wang:
PDWN: Pyramid Deformable Warping Network for Video Interpolation. - Sai Praveen Kadiyala, Kartheek Akella, Tram Truong-Huu:
Program Behavior Analysis and Clustering using Performance Counters. - Gabriele Farina, Andrea Celli, Alberto Marchesi, Nicola Gatti:
Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium. - Omid Tarkhaneh, Neda Alipour, Amirahmad Chapnevis, Haifeng Shen:
Golden Tortoise Beetle Optimizer: A Novel Nature-Inspired Meta-heuristic Algorithm for Engineering Problems. - Md. Ahsanul Kabir, Tyler Phillips, Xiao Luo, Mohammad Al Hasan:
ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Context. - Xinggang Wang, Jiapei Feng, Bin Hu, Qi Ding, Longjin Ran, Xiaoxin Chen, Wenyu Liu:
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images. - Sihua Wang, Mingzhe Chen, Zhaohui Yang, Changchuan Yin, Walid Saad, Shuguang Cui, H. Vincent Poor:
Reinforcement Learning for Minimizing Age of Information in Real-time Internet of Things Systems with Realistic Physical Dynamics. - Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, Gang Hua:
SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction. - Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji:
High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion. - Yuanbin Fu, Xiaojie Guo, Qiming Hu, Di Lin, Jiayi Ma, Haibin Ling:
Hierarchical Image Peeling: A Flexible Scale-space Filtering Framework. - Jiashu He:
Performance analysis of facial recognition: A critical review through glass factor. - Toshiki Hirao, Shane McIntosh, Akinori Ihara, Kenichi Matsumoto:
Code Reviews with Divergent Review Scores: An Empirical Study of the OpenStack and Qt Communities. - Juhong Min, Dahyun Kang, Minsu Cho:
Hypercorrelation Squeeze for Few-Shot Segmentation. - Jian Liang, Dapeng Hu, Ran He, Jiashi Feng:
Distill and Fine-tune: Effective Adaptation from a Black-box Source Model. - Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yuke Zhu:
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations. - Esha Singh, Anusha Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov, Rui Zhang:
A Conversational Agent System for Dietary Supplements Use. - Timothy L. Molloy, Girish N. Nair:
Active Trajectory Estimation for Partially Observed Markov Decision Processes via Conditional Entropy. - Shengcai Liao, Ling Shao:
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification. - Jingwen Hou, Sheng Yang, Weisi Lin, Baoquan Zhao, Yuming Fang:
Learning Image Aesthetic Assessment from Object-level Visual Components. - Hossein Karami, Antony Thomas, Fulvio Mastrogiovanni:
A Task-Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks. - Hao Wang, Xiang Bai, Mingkun Yang, Shenggao Zhu, Jing Wang, Wenyu Liu:
Scene Text Retrieval via Joint Text Detection and Similarity Learning. - He Wang, Yifei Shen, Ziyuan Wang, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Jie Lu:
Decentralized Statistical Inference with Unrolled Graph Neural Networks. - Mingjiang Liu, Chengli Xiao, Chunlin Chen:
Perspective-corrected Spatial Referring Expression Generation for Human-Robot Interaction. - Marco Visca, Arthur Bouton, Roger S. Powell, Yang Gao, Saber Fallah:
Conv1D Energy-Aware Path Planner for Mobile Robots in Unstructured Environments. - Maurice Margenstern:
A strongly universal cellular automaton in the dodecagrid with five states. - Abhishek Mittal, Ashutosh Modi:
ReCAM@IITK at SemEval-2021 Task 4: BERT and ALBERT based Ensemble for Abstract Word Prediction. - Archit Bansal, Abhay Kaushik, Ashutosh Modi:
IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection. - Rohan Gupta, Jay Mundra, Deepak Mahajan, Ashutosh Modi:
MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers. - Geon Yeong Park, Sang Wan Lee:
Information-theoretic regularization for Multi-source Domain Adaptation. - Endri Kacupaj, Joan Plepi, Kuldeep Singh, Harsh Thakkar, Jens Lehmann, Maria Maleshkova:
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks. - Tze Yuang Chong, Xuyang Wang, Lin Yang, Junjie Wang:
TransfoRNN: Capturing the Sequential Information in Self-Attention Representations for Language Modeling. - Geon Yeong Park, Sang Wan Lee:
Reliably fast adversarial training via latent adversarial perturbation. - Sobirdzhon Bobiev:
Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers. - Cenk Gündogan, Christian Amsüss
, Thomas C. Schmidt, Matthias Wählisch
:
Networking Group Content: RESTful Multiparty Access to a Data-centric Web of Things. - Shreya Ghosh, Anwesha Mukherjee, Soumya K. Ghosh, Rajkumar Buyya:
STOPPAGE: Spatio-temporal Data Driven Cloud-Fog-Edge Computing Framework for Pandemic Monitoring and Management. - Zhihang Zhong
, Yinqiang Zheng, Imari Sato:
Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes. - Loren Lugosch, Piyush Papreja, Mirco Ravanelli, Abdelwahab Heba, Titouan Parcollet:
Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers. - Yu Wang, Alper Kamil Bozkurt, Miroslav Pajic:
Reinforcement Learning with Temporal Logic Constraints for Partially-Observable Markov Decision Processes. - Heng-Jui Chang, Hung-yi Lee, Lin-Shan Lee:
Towards Lifelong Learning of End-to-end ASR. - Shashank Shailabh, Sajal Chaurasia, Ashutosh Modi:
KnowGraph@IITK at SemEval-2021 Task 11: Building KnowledgeGraph for NLP Research. - Andreea Danielescu:
OnTarget: An Electronic Archery Scoring. - Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David R. Mortensen, Michael R. Marlo, Graham Neubig:
Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties. - Marouen Kachroudi:
Revisiting Indirect Ontology Alignment : New Challenging Issues in Cross-Lingual Context. - Colin C. Ife, Yun Shen, Gianluca Stringhini, Steven J. Murdoch:
Marked for Disruption: Tracing the Evolution of Malware Delivery Operations Targeted for Takedown. - Rui Liu
, Siddharth Bhatia, Bryan Hooi:
Isconna: Streaming Anomaly Detection with Frequency and Patterns. - Jia-Chang Feng, Fa-Ting Hong, Wei-Shi Zheng:
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection. - Mohammad Mahdi Kamani, Rana Forsati, James Z. Wang, Mehrdad Mahdavi:
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing. - Renate Krause, Joanne J. A. van Bavel, Chenxi Wu, Marc A. Vos, Alain Nogaret, Giacomo Indiveri:
Robust neuromorphic coupled oscillators for adaptive pacemakers. - Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag:
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection. - Martin Weyssow, Houari A. Sahraoui, Eugene Syriani:
Recommending Metamodel Concepts during Modeling Activities with Pre-Trained Language Models. - Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Christian Daniel, Dotan Di Castro:
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems. - Gaurav Suryawanshi, Varun Madhavan, Adway Mitra, Partha Pratim Chakrabarti:
City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling. - Roni Con, Itzhak Tamo:
Nonlinear Repair Schemes of Reed-Solomon Codes. - Emilio Parisotto, Ruslan Salakhutdinov:
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation. - Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto:
Probabilistic Collision Constraint for Motion Planning in Dynamic Environments. - Gábor Szárnyas, David A. Bader, Timothy A. Davis, James Kitchen, Timothy G. Mattson, Scott McMillan, Erik Welch:
LAGraph: Linear Algebra, Network Analysis Libraries, and the Study of Graph Algorithms. - Lokesh Krishna, Utkarsh A. Mishra, Guillermo A. Castillo, Ayonga Hereid, Shishir Kolathaya:
Learning Linear Policies for Robust Bipedal Locomotion on Terrains with Varying Slopes. - Rongqian Ma:
Curating China's Cultural Revolution (1966-1976): CR/10 as a Warburgian Memory Atlas and Digital Humanities Interface. - Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu:
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. - René Haberland:
A Logical Programming Language as an Instrument for Specifying and Verifying Dynamic Memory. - Jaeho Bang, Pramod Chunduri, Joy Arulraj:
EKO: Adaptive Sampling of Compressed Video Data. - Nicolas Zucchet, Simon Schug, Johannes von Oswald, Dominic Zhao, João Sacramento:
A contrastive rule for meta-learning. - Timothée Lesort, Massimo Caccia, Irina Rish:
Understanding Continual Learning Settings with Data Distribution Drift Analysis. - Grigor Gatchev, Valentin S. Mollov:
Faster Convolution Inference Through Using Pre-Calculated Lookup Tables. - Junshan Lin:
An adaptive boundary element method for the transmission problem with hyperbolic metamaterials. - Pedro Ferreira Torres:
Development and Modeling of a Low-voltage DC Distribution Nanogrid with Distributed Generation Systems. - Anthony Boulmier, Nabil Abdennadher, Bastien Chopard:
Optimal Load Balancing and Assessment of Existing Load Balancing Criteria. - Tuan Manh Lai, Heng Ji, Trung Bui, Quan Hung Tran, Franck Dernoncourt, Walter Chang:
A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution. - Ankit Wagle, Sunil P. Khatri, Sarma B. K. Vrudhula:
A Configurable BNN ASIC using a Network of Programmable Threshold Logic Standard Cells. - Hyounghun Kim, Abhay Zala, Graham Burri, Mohit Bansal:
FixMyPose: Pose Correctional Captioning and Retrieval. - Amit Verma
, Mark W. Lewis:
Constraint Programming to Discover One-Flip Local Optima of Quadratic Unconstrained Binary Optimization Problems. - Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang
, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. - Neil P. Chue Hong, Jeremy Cohen, Caroline Jay:
Understanding Equity, Diversity and Inclusion Challenges Within the Research Software Community. - Erkan Kayacan, Erdal Kayacan, Mojtaba Ahmadieh Khanesar:
Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks - A Novel Learning Algorithm and a Comparative Study. - Andrew Polar, Michael Poluektov:
Urysohn Forest for Aleatoric Uncertainty Quantification. - Tong Chen, Hongzhi Yin, Xiangliang Zhang
, Zi Huang, Yang Wang, Meng Wang:
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling. - Pedro Almir Oliveira, Rossana M. C. Andrade, Tales Paiva Nogueira, Isaac Barreto, Leandro Morais Bueno:
Issue Auto-Assignment in Software Projects with Machine Learning Techniques. - Yuwen Li:
Recovery-based a posteriori error analysis for plate bending problems. - Lucas Giusti, Leonardo Carvalho, Antônio Tadeu A. Gomes, Rafaelli Coutinho, Jorge de Abreu Soares, Eduardo S. Ogasawara:
Analyzing Flight Delay Prediction Under Concept Drift. - Shuyang Cao, Lu Wang:
Inference Time Style Control for Summarization. - Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu:
A New Approach to Overgenerating and Scoring Abstractive Summaries. - Jun Sung Choi, Vuk Marojevic, Carl B. Dietrich, Seungyoung Ahn:
DSRC-Enabled Train Safety Communication System at Unmanned Crossings. - Erkan Kayacan, Erdal Kayacan, Herman Ramon, Wouter Saeys:
Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System. - Yuanwei Wu, Ziming Zhang, Guanghui Wang:
Branch-and-Pruning Optimization Towards Global Optimality in Deep Learning. - Zhenhua Chen, Chuhua Wang, David J. Crandall:
Adversarial Attack in the Context of Self-driving. - Yung-Han Ho, Guo-Lun Jin, Yun Liang, Wen-Hsiao Peng, Xiaobo Li:
A Dual-Critic Reinforcement Learning Framework for Frame-level Bit Allocation in HEVC/H.265. - Benjamin Carleton, Michael C. Chavrimootoo
, Conor Taliancich:
A Critique of Keum-Bae Cho's Proof that P ⊊ NP. - Robin M. Schmidt:
Explainability-aided Domain Generalization for Image Classification. - Junxiong Wang, Immanuel Trummer, Debabrota Basu:
UDO: Universal Database Optimization using Reinforcement Learning. - Xuehu Liu, Pingping Zhang, Chenyang Yu, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang:
A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification. - Sanjai Narain, Emily Mak, Dana Chee, Brendan J. Englot, Kishore Pochiraju, Niraj K. Jha, Karthik S. Narayan:
Fast Design Space Exploration of Nonlinear Systems: Part I. - Shaojie Tang, Jing Yuan:
Optimal Sampling Gaps for Adaptive Submodular Maximization. - Jia-Wei Chen, Li-Ju Chen, Chia-Mu Yu, Chun-Shien Lu:
Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable Semantics. - Dengsheng Chen, Haowen Deng, Jun Li, Duo Li, Yao Duan, Kai Xu:
Potential Convolution: Embedding Point Clouds into Potential Fields. - Keenan Venuti:
Predicting Mergers and Acquisitions using Graph-based Deep Learning. - Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth:
Paired Examples as Indirect Supervision in Latent Decision Models. - Yanhong Zeng, Jianlong Fu, Hongyang Chao:
3D Human Body Reshaping with Anthropometric Modeling. - Honorio Apaza Alanoca, Josimar E. Chire Saire, Jimy Frank Oblitas Cruz:
Comparative analysis of the government plans of the Peruvian presidential candidates, SDO(UN) and State Policies of the National Agreement based on NLP. - Dong He, Jie Cheng, Jong-Hwan Kim:
GSECnet: Ground Segmentation of Point Clouds for Edge Computing. - Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. - Kunsong Zhao, Jin Liu, Zhou Xu, Li Li, Meng Yan, Jiaojiao Yu, Yuxuan Zhou:
Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set. - Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao:
Procrustean Training for Imbalanced Deep Learning. - Haimin Luo, Anpei Chen, Qixuan Zhang, Bai Pang, Minye Wu, Lan Xu, Jingyi Yu:
Convolutional Neural Opacity Radiance Fields. - Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham, Pubudu N. Pathirana, Long Bao Le, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor:
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges. - Thong Le, Dan Gusfield:
Matrix Chain Multiplication and Polygon Triangulation Revisited and Generalized. - Yuan Gong, Yu-An Chung, James R. Glass:
AST: Audio Spectrogram Transformer. - Apoorva Gokhale, Astuti Sharma, Kaustav Datta, Savyasachi:
Reducing Racial Bias in Facial Age Prediction using Unsupervised Domain Adaptation in Regression. - Ishani Mondal:
BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification. - Wenbo Zhang, Yao Jiang, Keren Fu, Qijun Zhao:
BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object Detection. - Yoshihiko Suhara, Jinfeng Li, Yuliang Li, Dan Zhang, Çagatay Demiralp, Chen Chen, Wang-Chiew Tan:
Annotating Columns with Pre-trained Language Models. - Jeongmin Lee, Milos Hauskrecht:
Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning. - Yao Deng, Tiehua Zhang, Guannan Lou, Xi Zheng, Jiong Jin, Qing-Long Han:
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses. - Sourya Dipta Das, Ayan Basak, Saikat Dutta:
A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News Articles. - Hiroaki Aizawa, Yukihiro Domae, Kunihito Kato:
Hierarchical Pyramid Representations for Semantic Segmentation. - Paolo Politi, Satya N. Majumdar, Antonio Politi, Stefano Ruffo:
Some considerations about reviewing and open-access in scientific publishing. - Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan:
Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks. - Tapas Nayak:
Deep Neural Networks for Relation Extraction. - Abdul Syahid
:
Indonesian Journal of Applied Linguistics: A Bibliometric Portrait of Ten Publication Years. - Avik Dayal, Vijay K. Shah, Biplav Choudhury, Vuk Marojevic, Carl B. Dietrich, Jeffrey H. Reed:
Adaptive Semi-Persistent Scheduling for Enhanced On-road Safety in Decentralized V2X Networks. - Yupeng Huang, Song Yao, Peng Chen, Zhengbao Lei, Xinzhong Gan, Youwei Gan:
Robust optimization Design of a New Combined Median Barrier Based on Taguchi method and Grey Relational Analysis. - Asuka Moritani, Ryo Ozaki, Shoki Sakamoto, Hirokazu Kameoka, Tadahiro Taniguchi:
StarGAN-based Emotional Voice Conversion for Japanese Phrases. - Ziyue Huang, Yuan Qiu
, Ke Yi, Graham Cormode:
Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming. - Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Maksim Jenihhin:
Modeling Gate-Level Abstraction Hierarchy Using Graph Convolutional Neural Networks to Predict Functional De-Rating Factors. - Yan Xu, Yongliang Cheng:
Semi-supervised Variational Temporal Convolutional Network for IoT Communication Multi-anomaly Detection. - Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Carlos Hernández Corbato, Nick Hawes:
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference. - Li Zhang, Wei Lu, Jinqing Yang:
LAGOS-AND: A Large, Gold Standard Dataset for Scholarly Author Name Disambiguation. - Ruben Becker, Gianlorenzo D'Angelo, Esmaeil Delfaraz, Hugo Gilbert:
When Can Liquid Democracy Unveil the Truth? - Chaoqun Wang, Xuejin Chen, Shaobo Min, Xiaoyan Sun, Houqiang Li:
Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning. - Simón Martinez-Rozas, Rafael Rey, David Alejo, Domingo Acedo, José Antonio Cobano, Alejandro Rodriguez-Ramos, Pascual Campoy, Luis Merino, Fernando Caballero:
Skyeye Team at MBZIRC 2020: A team of aerial and ground robots for GPS-denied autonomous fire extinguishing in an urban building scenario. - Heena, B. M. Mehtre:
Advances In Malware Detection- An Overview. - Joaquin G. Ordonez, Francisco Gordillo, Pablo Montero-Robina, Daniel Limón:
Suboptimal multirate MPC for five-level inverters. - Sk Miraj Ahmed, Dripta S. Raychaudhuri, Sujoy Paul, Samet Oymak, Amit K. Roy-Chowdhury:
Unsupervised Multi-source Domain Adaptation Without Access to Source Data. - Alan J. X. Guo, Qing-Hu Hou, Ou Wu:
Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm. - José Luís Devezas, Sérgio Nunes:
Managing Research the Wiki Way: A Systematic Approach to Documenting Research. - Iain Barclay, Michael Cooper, Alun D. Preece, Omer F. Rana, Ian J. Taylor:
Tokenising behaviour change: optimising blockchain technology for sustainable transport interventions. - Sho Takase, Shun Kiyono:
Rethinking Perturbations in Encoder-Decoders for Fast Training. - Seppo A. Sierla, Mohammad Azangoo, Alexander Fay, Valeriy Vyatkin, Nikolaos Papakonstantinou:
Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins. - Saeed Bagherinejad, Seyed Mohammad Razavizadeh:
Direction-Based Jamming Detection and Suppression in mmWave Massive MIMO Networks. - Sandra Roger, Maximo Cobos, Carmen Botella-Mascarell, Gábor Fodor:
Fast Channel Estimation in the Transformed Spatial Domain for Analog Millimeter Wave Systems. - Aman Priyanshu
, Rakshit Naidu:
FedPandemic: A Cross-Device Federated Learning Approach Towards Elementary Prognosis of Diseases During a Pandemic. - Thimal Kempitiya, Seppo A. Sierla, Daswin De Silva, Matti Yli-Ojanperä, Damminda Alahakoon, Valeriy Vyatkin:
An Artificial Intelligence Framework for Bidding Optimization with Uncertainty in Multiple Frequency Reserve Markets. - Thao Nguyen, Anh Tran, Minh Hoai:
Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer. - Chuwen Ma, Qinghai Zhang, Weiying Zheng:
A high-order fictitious-domain method for the advection-diffusion equation on time-varying domain. - Ayan Kumar Bhunia, Shuvozit Ghose, Amandeep Kumar, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song:
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition. - Alex Dytso, H. Vincent Poor, Shlomo Shamai:
A General Derivative Identity for the Conditional Mean Estimator in Gaussian Noise and Some Applications. - Huisheng Gao, Hui Yuan, Huanhai Xin, Linbin Huang, Chaoyou Feng:
Nodal Frequency Performance of Power Networks. - Vladimir Vovk:
Conformal testing in a binary model situation. - Haoran Wei, Qingbo Wu, Hui Li, King Ngi Ngan, Hongliang Li, Fanman Meng, Linfeng Xu:
Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning. - Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, Joongkyu Kim:
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation. - Ramon Sanabria, Austin Waters, Jason Baldridge:
Talk, Don't Write: A Study of Direct Speech-Based Image Retrieval. - Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Maksim Jenihhin:
The Validation of Graph Model-Based, Gate Level Low-Dimensional Feature Data for Machine Learning Applications. - Fajun Sun, Selena He, Xiaotong Zhang, Fanfan Shen, Qingan Li, Yanxiang He:
TinyAKE: A More Practicable and Trustable Scheme for Authenticated Key Establishment in WSNs. - Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Maksim Jenihhin:
Composing Graph Theory and Deep Neural Networks to Evaluate SEU Type Soft Error Effects. - Yuanpeng He:
Combining conflicting ordinal quantum evidences utilizing individual reliability. - Tri-Nhu Do
, Georges Kaddoum, Thanh-Luan Nguyen, Daniel Benevides da Costa, Zygmunt J. Haas:
Multi-RIS-aided Wireless Systems: Statistical Characterization and Performance Analysis. - Thomas S. Brown, Harbir Antil, Rainald Löhner, Fumiya Togashi, Deepanshu Verma:
Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows. - Long Shi, Taotao Wang, Jun Li, Shengli Zhang:
Pooling is not Favorable: Decentralize Mining Power of PoW Blockchain Using Age-of-Work. - Ling Chen, Hongyu Shi:
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model. - Wei Tang, Chien-Ju Ho, Yang Liu:
Optimal Query Complexity of Secure Stochastic Convex Optimization. - Dingwen Zhang, Haibin Tian, Jungong Han:
Few-Cost Salient Object Detection with Adversarial-Paced Learning. - André DeHon, Hans Giesen, Nik Sultana, Yuanlong Xiao:
Meta-level issues in Offloading: Scoping, Composition, Development, and their Automation. - Abdessamad Benlahbib
:
Mining Customers' Opinions for Online Reputation Generation and Visualization in e-Commerce Platforms. - Quanlin Chen:
Non-monotonic Value Function Factorization for Deep Multi-Agent Reinforcement Learning. - Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen:
What's the best place for an AI conference, Vancouver or ______: Why completing comparative questions is difficult. - Gernot Herbst
:
A Minimum-Footprint Implementation of Discrete-Time ADRC. - Terrence Alsup, Luca Venturi, Benjamin Peherstorfer:
Multilevel Stein variational gradient descent with applications to Bayesian inverse problems. - Ke Liang, Mitchel Myers:
Machine Learning Applications in the Routing in Computer Networks. - Dmitrii Marin, Yuri Boykov:
Robust Trust Region for Weakly Supervised Segmentation. - Dhivya Chandrasekaran, Vijay Mago:
Automating Transfer Credit Assessment in Student Mobility - A Natural Language Processing-based Approach. - Maria A. Zuluaga, Alex F. Mendelson, M. Jorge Cardoso, Andrew Mayall Taylor, Sébastien Ourselin:
Multi-Atlas Based Pathological Stratification of d-TGA Congenital Heart Disease. - Lama Alsulaiman, Saad Al-Ahmadi:
Performance Evaluation of Machine Learning Techniques for DoS Detection in Wireless Sensor Network. - Aaditya Chandrasekhar, Saketh Sridhara, Krishnan Suresh:
AuTO: A Framework for Automatic differentiation in Topology Optimization. - Damian Andrew Tamburri, Willem-Jan van den Heuvel, Martin Garriga:
DataOps for Societal Intelligence: a Data Pipeline for Labor Market Skills Extraction and Matching. - O. Can Görür, Benjamin Rosman, Fikret Sivrikaya, Sahin Albayrak:
FABRIC: A Framework for the Design and Evaluation of Collaborative Robots with Extended Human Adaptation. - Haoqi Li, Yelin Kim, Cheng-Hao Kuo, Shrikanth Narayanan:
Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition. - Fahad Alhasoun, Sarah Alnegheimish, Joshua B. Tenenbaum:
Probabilistic Programming Bots in Intuitive Physics Game Play. - Kaige Liu, Jack Kosaian, K. V. Rashmi:
ECRM: Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding. - Wenjing Wang
, Wenhan Yang, Jiaying Liu:
HLA-Face: Joint High-Low Adaptation for Low Light Face Detection. - Jinshuo Dong, Aaron Roth, Weijie J. Su:
Rejoinder: Gaussian Differential Privacy. - Jason Pelecanos, Quan Wang, Ignacio López-Moreno:
Dr-Vectors: Decision Residual Networks and an Improved Loss for Speaker Recognition. - Dongliang Chen, Antonio Bucchiarone, Zhihan Lv:
MeetDurian: A Gameful Mobile App to Prevent COVID-19 Infection. - Yapeng Tian, Chenliang Xu:
Can audio-visual integration strengthen robustness under multimodal attacks? - Nicholas S. Selby, H. Harry Asada:
Learning of Causal Observable Functions for Koopman-DFL Lifting Linearization of Nonlinear Controlled Systems and Its Application to Excavation Automation. - Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo:
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. - Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Generalization with MixStyle. - Samir Chowdhury, David Miller, Tom Needham:
Quantized Gromov-Wasserstein. - Patrick K. O'Neill, Vitaly Lavrukhin, Somshubra Majumdar, Vahid Noroozi, Yuekai Zhang, Oleksii Kuchaiev, Jagadeesh Balam, Yuliya Dovzhenko, Keenan Freyberg, Michael D. Shulman, Boris Ginsburg, Shinji Watanabe, Georg Kucsko:
SPGISpeech: 5, 000 hours of transcribed financial audio for fully formatted end-to-end speech recognition. - Jessica Hullman, Andrew Gelman:
To design interfaces for exploratory data analysis, we need theories of graphical inference. - Mai Hoang Dao, Thinh Hung Truong, Dat Quoc Nguyen:
Intent detection and slot filling for Vietnamese. - Austin L. Nash, Herschel C. Pangborn, Neera Jain:
Robust Control Co-Design with Receding-Horizon MPC. - Yapeng Tian, Di Hu, Chenliang Xu:
Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation. - Kolawole Ogunsina, Wendy A. Okolo:
Artificial Neural Network Modeling for Airline Disruption Management. - Winfried Auzinger, Juliette Dubois, Karsten Held, Harald Hofstätter, Tobias Jawecki, Anna Kauch, Othmar Koch, Karolina Kropielnicka, Pranav Singh
, Clemens Watzenböck:
Efficient Magnus-type integrators for solar energy conversion in Hubbard models. - Siming Zuo, Kianoush Nazarpour, Dario Farina, Philip Broser, Hadi Heidari:
Modelling and Analysis of Magnetic Fields from Skeletal Muscle for Valuable Physiological Measurements. - Vladislav Belavin, Ekaterina Trofimova, Andrey Ustyuzhanin:
Segmentation of EM showers for neutrino experiments with deep graph neural networks. - Diogo Cortiz
:
Exploring Transformers in Emotion Recognition: a comparison of BERT, DistillBERT, RoBERTa, XLNet and ELECTRA. - Marcos Netto, Junbo Zhao, Lamine Mili:
A robust extended Kalman filter for power system dynamic state estimation using PMU measurements. - Wieslaw Kopec, Jaroslaw Kowalski, Julia Paluch, Anna Jaskulska, Kinga Skorupska, Marcin Niewinski, Maciej Krzywicki, Cezary Biele:
Older Adults and Brain-Computer Interface: An Exploratory Study. - Paul Dütting, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser:
Prophet Inequalities for Matching with a Single Sample. - Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee:
Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains. - Xinlei Chen, Saining Xie, Kaiming He:
An Empirical Study of Training Self-Supervised Vision Transformers. - Federico Bianchi, Jacopo Tagliabue, Bingqing Yu:
Query2Prod2Vec Grounded Word Embeddings for eCommerce. - Erkan Kayacan, Erdal Kayacan, Herman Ramon, Wouter Saeys:
Robust Tube-Based Decentralized Nonlinear Model Predictive Control of an Autonomous Tractor-Trailer System. - Jun-En Ding, Chi-Hsiang Chu, Mong-Na Lo Huang, Chien-Ching Hsu:
Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers. - Krassie Petrova, Stephen G. MacDonell, Dave Parry:
Mobile Data Service Adoption and Use from a Service Supply Perspective: An Empirical Investigation. - Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lijuan Wang, Yezhou Yang, Zicheng Liu:
Compressing Visual-linguistic Model via Knowledge Distillation. - Wieslaw Kopec, Krzysztof Kalinowski, Monika Kornacka, Kinga Skorupska, Julia Paluch, Anna Jaskulska, Grzegorz Pochwatko, Jakub Mozaryn, Pawel Kobylinski, Piotr Gago:
VR Hackathon with Goethe Institute: Lessons Learned from Organizing a Transdisciplinary VR Hackathon. - Ali Sedaghatbaf, Mahshid Helali Moghadam, Mehrdad Saadatmand:
Automated Performance Testing Based on Active Deep Learning. - Ghazaleh Parvini, David Fernández-Baca:
Exact Algorithms for No-Rainbow Coloring and Phylogenetic Decisiveness. - Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath:
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. - Jinni Zhou, Hao Xu, Zexiang Li, Shaojie Shen, Fu Zhang:
Control of a Tail-Sitter VTOL UAV Based on Recurrent Neural Networks. - Liang Lu, Naoyuki Kanda, Jinyu Li, Yifan Gong:
Streaming Multi-talker Speech Recognition with Joint Speaker Identification. - Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang:
Efficient Attentions for Long Document Summarization. - Jun Li, Sinisa Todorovic:
Anchor-Constrained Viterbi for Set-Supervised Action Segmentation. - Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo:
Discrete Reasoning Templates for Natural Language Understanding. - Jun Li, Sinisa Todorovic:
Action Shuffle Alternating Learning for Unsupervised Action Segmentation. - Jianqiao Huang, Bai Cui, Xinyang Zhou, Andrey Bernstein:
A Generalized LinDistFlow Model for Power Flow Analysis. - Pietro Elia Campana, Bengt Stridh, Stefano Amaducci, Michele Colauzzi:
Optimization of vertically mounted agrivoltaic systems. - William Chan, Daniel S. Park, Chris A. Lee, Yu Zhang, Quoc V. Le, Mohammad Norouzi:
SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network. - Bolun Dai, Prashanth Krishnamurthy, Andrew Papanicolaou, Farshad Khorrami:
State Constrained Stochastic Optimal Control Using LSTMs. - Hongming Zhang, Xin Liu
, Haojie Pan, Haowen Ke, Jiefu Ou, Tianqing Fang
, Yangqiu Song:
ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities. - Suyoun Kim, Abhinav Arora, Duc Le, Ching-Feng Yeh, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer:
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding. - Walter Boscheri, Raphaël Loubère, Pierre-Henri Maire:
A cell-centered Lagrangian ADER-MOOD finite volume scheme on unstructured meshes for a class of hyper-elasticity models. - Abolfazl Farahani, Behrouz Pourshojae, Khaled Rasheed, Hamid R. Arabnia:
A Concise Review of Transfer Learning. - Samuel R. Bowman, George E. Dahl:
What Will it Take to Fix Benchmarking in Natural Language Understanding? - Daniel Gribel, Michel Gendreau, Thibaut Vidal:
Semi-Supervised Clustering with Inaccurate Pairwise Annotations. - Vida Esmaeili, Mahmood Mohassel Feghhi
, Seyed Omid Shahdi:
Automatic Micro-Expression Apex Frame Spotting using Local Binary Pattern from Six Intersection Planes. - Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor:
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges. - Vahid Garousi, Alper Bugra Keles, Yunus Balaman, Zeynep Özdemir Güler, Andrea Arcuri:
Model-based testing in practice: An experience report from the web applications domain. - Claudio Bellei, Hussain Alattas, Nesrine Kaaniche:
Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks. - Samuel Henrique Silva, Arun Das, Ian Scarff, Peyman Najafirad:
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification. - Debayan Deb, Xiaoming Liu, Anil K. Jain:
Unified Detection of Digital and Physical Face Attacks. - Yuta Nakamura, Raza Ahmad, Tanu Malik:
Content-defined Merkle Trees for Efficient Container Delivery. - Vandad Davoodnia, Ali Etemad:
Identity and Posture Recognition in Smart Beds with Deep Multitask Learning. - Dominikus Noll:
Alternating projections with applications to Gerchberg-Saxton error reduction. - Ercan Kalali, Rene van Leuken:
Near-Precise Parameter Approximation for Multiple Multiplications on A Single DSP Block. - Atousa Zarindast, Jonathan Wood, Anuj Sharma:
A data-driven personalized smart lighting recommender system. - Shihao Jiang, Yao Lu, Hongdong Li, Richard Hartley:
Learning Optical Flow from a Few Matches. - John Jackson, Luca Laurenti, Eric W. Frew, Morteza Lahijanian:
Strategy Synthesis for Partially-known Switched Stochastic Systems. - Yangyang Shi, Varun Nagaraja, Chunyang Wu, Jay Mahadeokar, Duc Le, Rohit Prabhavalkar, Alex Xiao, Ching-Feng Yeh, Julian Chan, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer:
Dynamic Encoder Transducer: A Flexible Solution For Trading Off Accuracy For Latency. - Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, Angjoo Kanazawa:
AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control. - Lorella Fatone, Daniele Funaro, Gianmarco Manzini:
A decision-making machine learning approach in Hermite spectral approximations of partial differential equations. - Malte J. Rasch, Diego Moreda, Tayfun Gokmen, Manuel Le Gallo, Fabio Carta, Cindy Goldberg, Kaoutar El Maghraoui, Abu Sebastian, Vijay Narayanan:
A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays. - Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David W. Nellans, Stephen W. Keckler:
GPU Domain Specialization via Composable On-Package Architecture. - Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Robust Classification Under 𝓁0 Attack for the Gaussian Mixture Model. - Brian J. Zhang, Knut Peterson, Christopher A. Sanchez, Naomi T. Fitter:
Exploring Consequential Robot Sound: Should We Make Robots Quiet and Kawaii-et? - Duc Le, Mahaveer Jain, Gil Keren, Suyoun Kim, Yangyang Shi, Jay Mahadeokar, Julian Chan, Yuan Shangguan, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Michael L. Seltzer:
Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion. - Kaniz Mishty, Mehdi Sadi:
Designing Efficient and High-performance AI Accelerators with Customized STT-MRAM. - Shuyang Cao, Lu Wang:
Attention Head Masking for Inference Time Content Selection in Abstractive Summarization. - Mengmi Zhang, Rohil Badkundri, Morgan B. Talbot, Gabriel Kreiman
:
Hypothesis-driven Stream Learning with Augmented Memory. - Yuan Shangguan, Rohit Prabhavalkar, Hang Su, Jay Mahadeokar, Yangyang Shi, Jiatong Zhou, Chunyang Wu, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer:
Dissecting User-Perceived Latency of On-Device E2E Speech Recognition. - Robert Dyro, James Harrison, Apoorva Sharma, Marco Pavone:
Particle MPC for Uncertain and Learning-Based Control. - Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben Haddou, Basheer Qolomany, Junaid Qadir, Muhammad T. Anan, Ala I. Al-Fuqaha, Mohamed Riduan Abid, Driss Benhaddou:
Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques. - Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman:
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes. - Hagen Soltau, Mingqiu Wang, Izhak Shafran, Laurent El Shafey:
Understanding Medical Conversations: Rich Transcription, Confidence Scores & Information Extraction. - Jiayi Song, Roch Guérin, Henry Sariowan:
Minimizing network bandwidth under latency constraints: The single node case. - Boyuan Chen, Yu Li, Sunand Raghupathi, Hod Lipson:
Beyond Categorical Label Representations for Image Classification. - Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng
, Sen Su, Philip S. Yu:
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. - Pinhao Song, Linhui Dai, Peipei Yuan, Hong Liu, Runwei Ding:
Achieving Domain Generalization in Underwater Object Detection by Image Stylization and Domain Mixup. - Satish Pokhrel, Robert Abbas, Bhulok Aryal:
IoT Security: Botnet detection in IoT using Machine learning. - Jay Mahadeokar, Yangyang Shi, Yuan Shangguan, Chunyang Wu, Alex Xiao, Hang Su, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer:
Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios. - Hamed Fatemi Langroudi, Vedant Karia, Tej Pandit, Dhireesha Kudithipudi:
TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT. - Dong He, Maureen Daum, Magdalena Balazinska:
DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation [Technical Report]. - Shaowei Wang, Guanjie Huang, Xiangyu Luo:
Hippocampus-heuristic Character Recognition Network for Zero-shot Learning. - Sunpill Kim, Yunseong Jeong, Jinsu Kim, Jungkon Kim, Hyung Tae Lee, Jae Hong Seo:
IronMask: Modular Architecture for Protecting Deep Face Template. - Olawale Onabola, Zhuang Ma, Yang Xie, Benjamin Akera, Abdulrahman Ibraheem, Jia Xue, Dianbo Liu, Yoshua Bengio:
hBert + BiasCorp - Fighting Racism on the Web. - Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu:
3D-to-2D Distillation for Indoor Scene Parsing. - Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, Sun-Yuan Kung:
Content-Aware GAN Compression. - Xin Wang, Yang Zhao, Tangwen Yang, Qiuqi Ruan:
Multi-Scale Context Aggregation Network with Attention-Guided for Crowd Counting. - Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu:
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation. - Wei Wang, Lei Zhang, Pingwen Zhang:
Modeling and Computation of Liquid Crystals. - Xiaofan Zhang, Hanchen Ye, Deming Chen:
Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment. - Saif Muhammad Imran, Xiaoming Liu, Daniel Morris:
Depth Completion with Twin Surface Extrapolation at Occlusion Boundaries. - Wenshuo Guo, Fangwei Fu:
Two modifications for Loidreau's code-based cryptosystem. - Shun-Po Chuang, Heng-Jui Chang, Sung-Feng Huang, Hung-yi Lee:
Non-autoregressive Mandarin-English Code-switching Speech Recognition with Pinyin Mask-CTC and Word Embedding Regularization. - Panpan Zhang, Bin Li, Jinye Peng, Wei Jiang:
Multi-hierarchical Convolutional Network for Efficient Remote Photoplethysmograph Signal and Heart Rate Estimation from Face Video Clips. - Sanjay Kariyappa, Ousmane Dia, Moinuddin K. Qureshi:
Enabling Inference Privacy with Adaptive Noise Injection. - Qiang Cui, Yafeng Zhang, Jinpeng Wang:
CANS-Net: Context-Aware Non-Successive Modeling Network for Next Point-of-Interest Recommendation. - Seham A. Alansari, Mahmoud M. Badr, Mohamed Mahmoud, Waleed Alasmary:
Efficient and Privacy-Preserving Infection Control System for Covid-19-Like Pandemics using Blockchain. - Suncheng Xiang, Yuzhuo Fu, Mengyuan Guan, Ting Liu:
Learning from Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-Identification. - Yang Yang, Yuanhao Liu, Hengyue Liang, Xibai Lou, Changhyun Choi:
Attribute-Based Robotic Grasping with One-Grasp Adaptation. - Jiahao Lin, Gim Hee Lee:
Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo. - Nicholas J. Hetherington, Elizabeth A. Croft, H. F. Machiel Van der Loos:
Hey Robot, Which Way Are You Going? Nonverbal Motion Legibility Cues for Human-Robot Spatial Interaction. - Faxi Yuan, Yuanchang Xu, Qingchun Li, Ali Mostafavi:
Spatio-Temporal Graph Convolutional Networks for Road Network Inundation Status Prediction during Urban Flooding. - Danh T. Phan, Hai L. Vu:
A novel activity pattern generation incorporating deep learning for transport demand models. - Nicholas J. Hetherington, Ryan Lee, Marlene Haase, Elizabeth A. Croft, H. F. Machiel Van der Loos:
Mobile Robot Yielding Cues for Human-Robot Spatial Interaction. - Bakytzhan Kurmanbek, Yogi A. Erlangga, Yerlan Amanbek:
Inverse properties of a class of pentadiagonal matrices related to higher order difference operators. - Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye:
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning. - Eric T. Chung, Yalchin Efendiev, Sai-Mang Pun, Zecheng Zhang:
Computational multiscale methods for parabolic wave approximations in heterogeneous media. - Luoqiu Li, Zhen Bi, Hongbin Ye, Shumin Deng, Hui Chen, Huaixiao Tou, Ningyu Zhang
, Huajun Chen:
Text-guided Legal Knowledge Graph Reasoning. - Matthew Harrison-Trainor, Wesley H. Holliday, Thomas F. Icard III:
Preferential Structures for Comparative Probabilistic Reasoning. - Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, José M. Álvarez, Zhangyang Wang, Anima Anandkumar:
Contrastive Syn-to-Real Generalization. - Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Framework for Inferring Leadership Dynamics of Complex Movement from Time Series. - Chenjun Xiao, Yifan Wu, Tor Lattimore, Bo Dai, Jincheng Mei, Lihong Li, Csaba Szepesvári, Dale Schuurmans:
On the Optimality of Batch Policy Optimization Algorithms. - Rui Wang, Xiaoqian Wang, David I. Inouye:
Shapley Explanation Networks. - Marlin P. Strub, Jonathan D. Gammell
:
Admissible heuristics for obstacle clearance optimization objectives. - Junjie Wang, Feng Gao, Junyu Dong:
Change Detection from SAR Images Based on Deformable Residual Convolutional Neural Networks. - Zigang Geng, Ke Sun, Bin Xiao, Zhaoxiang Zhang, Jingdong Wang:
Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression. - Min Feng, Feng Gao, Jian Fang, Junyu Dong:
Hyperspectral and LiDAR data classification based on linear self-attention. - Dominika Przewlocka-Rus, Marcin Kowalczyk, Tomasz Kryjak:
Exploration of Hardware Acceleration Methods for an XNOR Traffic Signs Classifier. - Tinglong Zhu, Xiaoyi Qin, Ming Li:
Binary Neural Network for Speaker Verification. - Marek Pecha:
Balancing Predictive Relevance of Ligand Biochemical Activities. - Bei Li, Quan Du, Tao Zhou, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu:
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation. - Kai Middlebrook, Shyam Sudhakaran, David Guy Brizan:
MuSLCAT: Multi-Scale Multi-Level Convolutional Attention Transformer for Discriminative Music Modeling on Raw Waveforms. - Leshem Choshen, Matanel Oren, Dmitry Nikolaev, Omri Abend:
SERRANT: a syntactic classifier for English Grammatical Error Types. - Yun Bai, Ganglin Tian, Yanfei Kang, Suling Jia:
Enhancing the Diversity of Predictions Combination by Negative Correlation Learning. - Mehrdad Khani Shirkoohi, Vibhaalakshmi Sivaraman, Mohammad Alizadeh:
Efficient Video Compression via Content-Adaptive Super-Resolution. - Yunpeng Zhang, Jiwen Lu, Jie Zhou:
Objects are Different: Flexible Monocular 3D Object Detection. - Tianning Yuan, Fang Wan, Mengying Fu, Jianzhuang Liu, Songcen Xu, Xiangyang Ji, Qixiang Ye:
Multiple instance active learning for object detection. - Yuecong Min, Aiming Hao, Xiujuan Chai, Xilin Chen:
Visual Alignment Constraint for Continuous Sign Language Recognition. - Abed AlRahman Al Makdah, Vaibhav Katewa, Fabio Pasqualetti:
Taming Adversarial Robustness via Abstaining. - Zehra Yigit, Ertugrul Basar, Ibrahim Altunbas:
SimMBM Channel Simulator for Media-Based Modulation Systems. - Mohammad Reza Jafari Harandi, Amir Molaei, Hamid D. Taghirad, José Guadalupe Romero:
Bounded Inputs Total Energy Shaping for Mechanical Systems. - Simon Scherrer, Markus Legner, Adrian Perrig, Stefan Schmid:
Enabling Novel Interconnection Agreements with Path-Aware Networking Architectures. - Zhiming Chen, Wenlong Zhang, Jun Zou:
Stochastic convergence of regularized solutions and their finite element approximations to inverse source problems. - Olga P. Stoyanovskaya, Maxim Davydov, Maxim Arendarenko, Elizaveta Isaenko, Tamara Markelova, Valeriy N. Snytnikov:
Fast method to simulate dynamics of two-phase medium with intense interaction between phases by smoothed particle hydrodynamics: gas-dust mixture with polydisperse particles, linear drag, one-dimensional tests. - Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Xiaoyun Zhang, Qi Tian:
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization. - Yiming Li, Tongqing Zhai, Yong Jiang, Zhifeng Li, Shu-Tao Xia:
Backdoor Attack in the Physical World. - Eleonora Mencarini, Amon Rapp, Massimo Zancanaro:
Underground Astronauts: Understanding the Sporting Science of Speleology and its Implications for HCI. - Yehansen Chen, Lin Wan, Zhihang Li, Qianyan Jing, Zongyuan Sun:
Neural Feature Search for RGB-Infrared Person Re-Identification. - Elisa Giesecke, Axel Kröner:
Point classification with Runge-Kutta networks and feature space augmentation. - Ido Greenberg, Shie Mannor, Netanel Yannay:
Using Kalman Filter The Right Way: Noise Estimation Is Not Optimal. - Joachim Schreurs, Hannes De Meulemeester, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens:
Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks. - Paridhi Maheshwari, Ritwick Chaudhry, Vishwa Vinay:
Scene Graph Embeddings Using Relative Similarity Supervision. - Jiahao Lin, Gim Hee Lee:
Learning Spatial Context with Graph Neural Network for Multi-Person Pose Grouping. - Fernanda Madeiral, Thomas Durieux:
A large-scale study on human-cloned changes for automated program repair. - Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Towards Consistent Hybrid HMM Acoustic Modeling. - Khoat Than, Nghia Vu:
Generalization of GANs under Lipschitz continuity and data augmentation. - Hanaa Abumarshoud, Lina S. Mohjazi, Octavia A. Dobre, Marco Di Renzo, Muhammad Ali Imran, Harald Haas:
LiFi Through Reconfigurable Intelligent Surfaces: A New Frontier for 6G? - Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han:
Weakly Supervised Video Salient Object Detection. - Thomas Steiner, François Beaufort:
Accessing HID Devices on the Web With the WebHID API: How to play the Chrome Dino Game by Jumping With a Nintendo Joy-Con Controller in One's Pocket. - Robert Danicki, Martin Haug, Ilja Behnke, Laurenz Mädje, Lauritz Thamsen:
Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems. - Mudasir Ahmad Ganaie, Minghui Hu, Mohammad Tanveer, Ponnuthurai N. Suganthan:
Ensemble deep learning: A review. - Tobias Pfandzelter, Jonathan Hasenburg, David Bermbach:
Towards a Computing Platform for the LEO Edge. - Dengpeng Xing, Jiale Li, Yiming Yang, Bo Xu:
General Robot Dynamics Learning and Gen2Real. - Shihao Jiang, Dylan Campbell, Yao Lu, Hongdong Li, Richard I. Hartley:
Learning to Estimate Hidden Motions with Global Motion Aggregation. - Alessio Ferrari, Thaide Huichapa, Paola Spoletini, Nicole Novielli, Davide Fucci, Daniela Girardi:
Using Voice and Biofeedback to Predict User Engagement during Requirements Interviews. - Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros:
MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage. - Sergio Blanes, Fernando Casas, Alejandro Escorihuela-Tomàs:
Applying splitting methods with complex coefficients to the numerical integration of unitary problems. - Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Sebastien Gros:
Bias Correction in Deterministic Policy Gradient Using Robust MPC. - Ali Farahani, Liliana Pasquale, Amel Bennaceur, Thomas Welsh, Bashar Nuseibeh:
On Adaptive Fairness in Software Systems. - Andrea Camisa, Andrea Testa, Giuseppe Notarstefano:
Multi-Robot Pickup and Delivery via Distributed Resource Allocation. - Diego Martín Arroyo, Janis Postels, Federico Tombari:
Variational Transformer Networks for Layout Generation. - Xiangqiang Gao, Rongke Liu, Aryan Kaushik:
A Distributed Virtual Network Function Placement Approach in Satellite Edge and Cloud Computing. - Andrew Jeffery
, Heidi Howard, Richard Mortier:
Rearchitecting Kubernetes for the Edge. - Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, Ali Etemad:
Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition. - Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, Ala I. Al-Fuqaha, Mohsen Guizani:
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions. - Di Wu, Xiang Nie, Hanhui Deng, Zhijin Qin:
Software Defined Edge Computing for Distributed Management and Scalable Control in IoT Multinetworks. - Jianfeng Dong, Zhe Ma, Xiaofeng Mao, Xun Yang, Yuan He, Richang Hong, Shouling Ji:
Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning. - Xinyi Zhang, Lihui Chen:
mSHINE: A Multiple-meta-paths Simultaneous Learning Framework for Heterogeneous Information Network Embedding. - Mikolaj Bojanczyk, Bartek Klin, Joshua Moerman:
Orbit-Finite-Dimensional Vector Spaces and Weighted Register Automata. - Pengwan Yang, Pascal Mettes, Cees G. M. Snoek:
Few-Shot Transformation of Common Actions into Time and Space. - Ahmed Elnaggar, Wei Ding, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Silvia Severini, Florian Matthes, Burkhard Rost:
CodeTrans: Towards Cracking the Language of Silicone's Code Through Self-Supervised Deep Learning and High Performance Computing. - Baihua Shi, Lingling Zhu, Wenlong Cai, Nuo Chen, Tong Shen, Pengcheng Zhu, Feng Shu, Jiangzhou Wang:
On Performance Loss of DOA Measurement Using Massive MIMO Receiver with Mixed-ADCs. - Rishikesh Ranade, Chris Hill, Haiyang He, Amir Maleki, Jay Pathak:
A Latent space solver for PDE generalization. - Saverio Giallorenzo, Fabrizio Montesi, Marco Peressotti, Florian Rademacher, Sabine Sachweh:
Jolie & LEMMA: Model-Driven Engineering and Programming Languages Meet on Microservices. - André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer:
Contrastive Explanations for Explaining Model Adaptations. - Waseem Akram, Sanjeev Saxena:
Sorted Range Reporting. - Lars Larsson, William Tärneberg, Cristian Klein, Maria Kihl, Erik Elmroth:
Towards Soft Circuit Breaking in Service Meshes via Application-agnostic Caching. - Prerit Terway, Kenza Hamidouche, Niraj K. Jha:
Fast Design Space Exploration of Nonlinear Systems: Part II. - Caterina Urban, Antoine Miné:
A Review of Formal Methods applied to Machine Learning. - Khalil Khan, Jehad Ali, Irfan Uddin, Sahib Khan, Byeong-Hee Roh:
A Facial Feature Discovery Framework for Race Classification Using Deep Learning. - Tian Meng, Yang Tao, Ziqi Chen, Jorge R. Salas Avila, Qiaoye Ran, Yuchun Shao, Ruochen Huang, Yuedong Xie, Qian Zhao
, Zhijie Zhang, Hujun Yin
, Anthony J. Peyton
, Wuliang Yin:
Depth Evaluation for Metal Surface Defects by Eddy Current Testing using Deep Residual Convolutional Neural Networks. - Madhurananda Pahar, Thomas Niesler:
Machine Learning based COVID-19 Detection from Smartphone Recordings: Cough, Breath and Speech. - Rui Song, Fausto Giunchiglia, Ke Zhao, Hao Xu:
Topological Regularization for Graph Neural Networks Augmentation. - Bojing Feng, Wenfang Xue:
Adversarial Semi-supervised Learning for Corporate Credit Ratings. - Petr Marek, Vishal Ishwar Naik, Vincent Auvray, Anuj Goyal:
OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation. - Jiabin Zhang, Zheng Zhu, Jiwen Lu, Junjie Huang, Guan Huang, Jie Zhou:
SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation. - Zhongkai Shangguan, Lei Lin, Wencheng Wu, Beilei Xu:
Neural Process for Black-Box Model Optimization Under Bayesian Framework. - Gaurav Patel, Jose Dolz:
Weakly supervised segmentation with cross-modality equivariant constraints. - A. Sadik Satir, Umut Demir, Gulay Goktas Sever, N. Kemal Ure:
Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns. - Ole Schumann, Markus Hahn, Nicolas Scheiner, Fabio Weishaupt, Julius F. Tilly, Jürgen Dickmann, Christian Wöhler:
RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications. - Nils-Arne Dreier:
Hardware-Oriented Krylov Methods for High-Performance Computing. - Li Siyao, Shiyu Zhao, Weijiang Yu, Wenxiu Sun, Dimitris N. Metaxas, Chen Change Loy, Ziwei Liu:
Deep Animation Video Interpolation in the Wild. - Patrick Schulze, Simon Wiegrebe, Paul W. Thurner, Christian Heumann, Matthias Aßenmacher, Sandra Wankmüller:
Exploring Topic-Metadata Relationships with the STM: A Bayesian Approach. - Clément Pernet, Hippolyte Signargout, Pierre Karpman, Gilles Villard:
Computing the Characteristic Polynomial of Generic Toeplitz-like and Hankel-like Matrices. - Carmen D'Andrea, Erik G. Larsson:
Improving Cell-Free Massive MIMO by Local Per-Bit Soft Detection. - Julian Harty, Haonan Zhang, Lili Wei, Luca Pascarella, Maurício Aniche, Weiyi Shang:
Logging Practices with Mobile Analytics: An Empirical Study on Firebase. - Kathleen Siminyu, Godson Kalipe, Davor Orlic, Jade Z. Abbott, Vukosi Marivate, Sackey Freshia, Prateek Sibal, Bhanu Neupane, David Ifeoluwa Adelani, Amelia V. Taylor, Jamiil Toure Ali, Kevin Degila, Momboladji Balogoun, Thierno Ibrahima Diop, Davis David, Chayma Fourati, Hatem Haddad, Malek Naski:
AI4D - African Language Program. - Eike Stein, Steffen Herbold, Fabian Trautsch, Jens Grabowski:
A new perspective on the competent programmer hypothesis through the reproduction of bugs with repeated mutations. - Anh Nguyen, Khoa Pham, Dat Ngo, Thanh Ngo, Lam Pham:
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network. - Yangzheng Wu, Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting. - Tal Feldman
, Ashley Peake:
On the Basis of Sex: A Review of Gender Bias in Machine Learning Applications. - Yifu Liu, Chenfeng Xu, Xinyu Jin:
DCANet: Dense Context-Aware Network for Semantic Segmentation. - Rosanna Turrisi, Leonardo Badino:
Optimal Transport-based Adaptation in Dysarthric Speech Tasks. - Grigory Devadze, Lars Flessing, Stefan Streif:
Extraction of a computer-certified ODE solver. - Mehmet Ozgur Turkoglu, Eric Brachmann, Konrad Schindler, Gabriel J. Brostow, Áron Monszpart:
Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision. - Nicoletta Risi, Enrico Calabrese, Giacomo Indiveri:
Instantaneous Stereo Depth Estimation of Real-World Stimuli with a Neuromorphic Stereo-Vision Setup. - Rosanna Turrisi, Arianna Braccia, Marco Emanuele, Simone Giulietti, Maura Pugliatti, Mariachiara Sensi, Luciano Fadiga, Leonardo Badino:
EasyCall corpus: a dysarthric speech dataset. - Xugui Zhou, Bulbul Ahmed, James H. Aylor, Philip Asare, Homa Alemzadeh:
Data-driven Design of Context-aware Monitors for Hazard Prediction in Artificial Pancreas Systems. - Aris Kanellopoulos, Filippos Fotiadis, Chuangchuang Sun, Zhe Xu, Kyriakos G. Vamvoudakis, Ufuk Topcu, Warren E. Dixon:
Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking. - Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari:
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks. - Nicolai Kraus, Fredrik Nordvall Forsberg, Chuangjie Xu:
Connecting Constructive Notions of Ordinals in Homotopy Type Theory. - Federico Maggi, Andrea Guglielmini:
RFQuack: A Universal Hardware-Software Toolkit for Wireless Protocol (Security) Analysis and Research. - Tim-Oliver Buchholz, Florian Jug:
Fourier Image Transformer. - Eric Aislan Antonelo, Eduardo Camponogara, Laio Oriel Seman, Eduardo Rehbein de Souza, Jean Panaioti Jordanou, Jomi F. Hübner:
Physics-Informed Neural Nets-based Control. - Apoorv Vyas, Srikanth R. Madikeri, Hervé Bourlard:
Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model. - Abdesslem Layeb:
The Tangent Search Algorithm for Solving Optimization Problems. - Daniel Cummings, Marcel Nassar:
Structured Citation Trend Prediction Using Graph Neural Networks. - Stefan Mengel, Friedrich Slivovsky:
Proof Complexity of Symbolic QBF Reasoning. - Hao Yang, Youzhi Jin, Ziyin Li, Deng-Bao Wang, Lei Miao, Xin Geng, Min-Ling Zhang:
Learning from Noisy Labels via Dynamic Loss Thresholding. - Shahriar Rahman, Shazzadur Rahman, A. K. M. Bahalul Haque:
Prediction of Solar Radiation Using Artificial Neural Network. - Chen Min, Jiaolong Xu, Liang Xiao, Dawei Zhao, Yiming Nie, Bin Dai:
Attentional Graph Neural Network for Parking-slot Detection. - Dongha Lee, Seonghyeon Lee, Hwanjo Yu:
Learnable Dynamic Temporal Pooling for Time Series Classification. - Ilona M. Kulikovskikh:
Neurons learn slower than they think. - David Pastor-Escuredo:
Future of work: ethics. - Uche Onyekpe, Vasile Palade, Anuradha Herath, Stratis Kanarachos, Michael E. Fitzpatrick, Stavros-Richard G. Christopoulos:
WhONet: Wheel Odometry Neural Network for Vehicular Localisation in GNSS-Deprived Environments. - Saleh Albeaik, Alexandre M. Bayen, Maria Teresa Chiri, Xiaoqian Gong, Amaury Hayat, Nicolas Kardous, Alexander Keimer, Sean T. McQuade, Benedetto Piccoli, Yiling You:
Limitations and Improvements of the Intelligent Driver Model (IDM). - Chuanzheng Wang, Yiming Meng, Stephen L. Smith, Jun Liu:
Safety-Critical Control of Stochastic Systems using Stochastic Control Barrier Functions. - Giorgio Gnecco, Andrea Bacigalupo, Francesca Fantoni, Daniela Selvi:
Principal Component Analysis Applied to Gradient Fields in Band Gap Optimization Problems for Metamaterials. - James D. Herbsleb:
Global Software Engineering in the Age of GitHub and Zoom. - Dima Kagan, Galit Fuhrmann Alpert, Michael Fire:
Automatic Large Scale Detection of Red Palm Weevil Infestation using Aerial and Street View Images. - Chien-Cheng Wu:
A Survey for Real-Time Network Performance Measurement via Machine Learning. - Robin San-Roman, Eliya Nachmani, Lior Wolf:
Noise Estimation for Generative Diffusion Models. - Zejun Li, Zhongyu Wei, Zhihao Fan, Haijun Shan, Xuanjing Huang:
An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-Level Structural Information. - Tanzila Rahman, Leonid Sigal:
Weakly-supervised Audio-visual Sound Source Detection and Separation. - Ziyu Wang, Liao Wang, Fuqiang Zhao, Minye Wu, Lan Xu, Jingyi Yu:
MirrorNeRF: One-shot Neural Portrait RadianceField from Multi-mirror Catadioptric Imaging. - Kaleel Mahmood, Rigel Mahmood, Marten van Dijk:
On the Robustness of Vision Transformers to Adversarial Examples. - Linchao He, Mengting Luo, Dejun Zhang, Xiao Yang, Hu Chen, Yi Zhang:
PointShuffleNet: Learning Non-Euclidean Features with Homotopy Equivalence and Mutual Information. - Martijn de Vos, Johan Pouwelse:
ASTANA: Practical String Deobfuscation for Android Applications Using Program Slicing. - Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, Deng-Ping Fan:
Mutual Graph Learning for Camouflaged Object Detection. - Adrian Wälchli, Paolo Favaro:
Optical Flow Dataset Synthesis from Unpaired Images. - Diego Gragnaniello, Davide Cozzolino, Francesco Marra, Giovanni Poggi, Luisa Verdoliva:
Are GAN generated images easy to detect? A critical analysis of the state-of-the-art. - Pablo Pérez, Lucjan Janowski, Narciso García, Margaret H. Pinson:
Subjective Assessment Experiments That Recruit Few Observers With Repetitions (FOWR). - Zhenhua Chen, Xiwen Li, Qian Lou, David J. Crandall:
How to Accelerate Capsule Convolutions in Capsule Networks. - Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai:
Uncertainty-aware Joint Salient Object and Camouflaged Object Detection. - Jack Valmadre, Alex Bewley, Jonathan Huang, Chen Sun, Cristian Sminchisescu, Cordelia Schmid:
Local Metrics for Multi-Object Tracking. - Francesco Barbato, Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation. - Felix Strehle, Pulkit Nahata, Albertus Johannes Malan, Sören Hohmann, Giancarlo Ferrari-Trecate:
A Unified Passivity-Based Framework for Control of Modular Islanded AC Microgrids. - Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle:
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark. - Tsonka Baicheva, Peter Kazakov, Miroslav M. Dimitrov:
Some comments about CRC selection for the 5G NR specification. - David Melhart, Antonios Liapis, Georgios N. Yannakakis:
The Affect Game AnnotatIoN (AGAIN) Dataset. - Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler:
gradSim: Differentiable simulation for system identification and visuomotor control. - Erico Tjoa:
A Modified Convolutional Network for Auto-encoding based on Pattern Theory Growth Function. - Meng Xia, Meenal K. Kheterpal, Samantha C. Wong, Christine Park, William Ratliff, Lawrence Carin, Ricardo Henao:
Malignancy Prediction and Lesion Identification from Clinical Dermatological Images. - Miguel Rodríguez Santander, Juan Felipe Hernández Albarracín, Adín Ramírez Rivera:
On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study. - Tao Li, Min Soo Choi:
DeepBlur: A Simple and Effective Method for Natural Image Obfuscation. - Vinod K. Kurmi, Vipul Bajaj, Badri N. Patro, K. S. Venkatesh, Vinay P. Namboodiri, Preethi Jyothi:
Collaborative Learning to Generate Audio-Video Jointly. - Benjamin Schäfer, Dirk Witthaut, Marc Timme:
How Decentral Smart Grid Control limits non-Gaussian power grid frequency fluctuations. - Venkata Siva Santosh Ganji, Tzu-Hsiang Lin, Francisco A. Espinal, P. R. Kumar:
UNBLOCK: Low Complexity Transient Blockage Recovery for Mobile mm-Wave Devices. - Petros Spachos, Ioannis Papapanagiotou, Konstantinos N. Plataniotis:
Microlocation for Smart Buildings in the Era of the Internet of Things: A Survey of Technologies, Techniques, and Approaches. - Haritha Jayasinghe, Tarindu Jayatilaka, Ravin Gunawardena, Uthayasanker Thayasivam:
Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning. - Mohammad Saeed Rad, Thomas Yu, Behzad Bozorgtabar, Jean-Philippe Thiran:
Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images. - Qiwei Ma, Zhaoya Gong:
Calibratable Hetero-NodeRank for measuring node influence. - Ying Lin, Han Wang, Jiangning Chen, Tong Wang, Yue Liu, Heng Ji, Yang Liu, Premkumar Natarajan:
Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations. - Pedro Filipe Silva, João Bispo, Nuno Miguel Cardanha Paulino:
Building Beyond HLS: Graph Analysis and Others. - Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Time-Robust Control for STL Specifications. - Benjamin McLaughlin, Sung Ha Kang:
A New Parallel Adaptive Clustering and its Application to Streaming Data. - Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell:
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures. - Kun Qian, Wei Wei, Zhou Yu:
A Student-Teacher Architecture for Dialog Domain Adaptation under the Meta-Learning Setting. - Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Localizing Visual Sounds the Hard Way. - Valentina Cavinato, Thomas Eppenberger, Dina Youakim, Roland Siegwart, Renaud Dubé:
Dynamic-Aware Autonomous Exploration in Populated Environments. - Yuval Alaluf, Or Patashnik, Daniel Cohen-Or:
ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement. - Tong Wu, Ziwei Liu, Qingqiu Huang, Yu Wang, Dahua Lin:
Adversarial Robustness under Long-Tailed Distribution. - Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei:
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. - Brett Thomas Lopez, Jean-Jacques E. Slotine:
Adaptive Variants of Optimal Feedback Policies. - Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy:
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. - Eunice Jun, Melissa Birchfield, Nicole de Moura, Jeffrey Heer, René Just:
Hypothesis Formalization: Empirical Findings, Software Limitations, and Design Implications. - Jens Eisert, Axel Flinth, Benedikt Groß, Ingo Roth, Gerhard Wunder:
Hierarchical compressed sensing. - Giorgio Franceschelli
, Mirco Musolesi:
Creativity and Machine Learning: A Survey. - Berthy Feng, Alexander C. Ogren, Chiara Daraio, Katherine L. Bouman:
Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video. - Suhail Alsalehi, Noushin Mehdipour, Ezio Bartocci, Calin Belta:
Neural Network-based Control for Multi-Agent Systems from Spatio-Temporal Specifications. - Albert Cheu, Maxim Zhilyaev:
Differentially Private Histograms in the Shuffle Model from Fake Users. - Alexander Kovacs, Lukas Exl, Alexander Kornell, Johann Fischbacher, Markus Hovorka, Markus Gusenbauer, Leoni Breth, Harald Oezelt, Masao Yano, Noritsugu Sakuma, Akihito Kinoshita, Tetsuya Shoji, Akira Kato, Thomas Schrefl:
Conditional physics informed neural networks. - Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sebastien Gros:
Approximate Robust NMPC using Reinforcement Learning. - Shubhankar Borse, Ying Wang, Yizhe Zhang, Fatih Porikli:
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation. - Philipp Grohs, Felix Voigtländer:
Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces. - Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh:
Communication-Efficient Agnostic Federated Averaging. - Pranjal Singh Rajput, Yeshwanth Napolean, Jan van Gemert:
Heuristics2Annotate: Efficient Annotation of Large-Scale Marathon Dataset For Bounding Box Regression. - David Pastor-Escuredo, Philip C. Treleaven:
Multiscale Governance. - Yinglun Li, Nanpeng Yu, Wei Wang:
Machine Learning-Driven Virtual Bidding with Electricity Market Efficiency Analysis. - Chao Liu, Mark Yim:
A Quadratic Programming Approach to Manipulation in Real-Time Using Modular Robots. - François Mercier:
Efficient transfer learning for NLP with ELECTRA. - Ivan Geffner, Joseph Y. Halpern:
Lower Bounds Implementing Mediators in Asynchronous Systems. - Victor Amblard, Timothy P. Osedach, Arnaud Croux, Andrew Speck, John J. Leonard:
Lidar-Monocular Surface Reconstruction Using Line Segments. - Christopher Harshaw, Ehsan Kazemi, Moran Feldman, Amin Karbasi:
The Power of Subsampling in Submodular Maximization. - Loc Huynh, Bipin Kishore, Paul E. Debevec:
A New Dimension in Testimony: Relighting Video with Reflectance Field Exemplars. - Jianyu Xu, Bin Liu, Huadong Mo, Daoyi Dong:
Bayesian adversarial multi-node bandit for optimal smart grid protection against cyber attacks. - Jiyoung Lee, Soo-Whan Chung, Sunok Kim, Hong-Goo Kang, Kwanghoon Sohn:
Looking into Your Speech: Learning Cross-modal Affinity for Audio-visual Speech Separation. - Islam Samy, Xiao Han, Loukas Lazos, Ming Li, Yong Xiao, Marwan Krunz:
Misbehavior Detection in Wi-Fi/LTE Coexistence over Unlicensed Bands. - Thomas Sandholm, Sayandev Mukherjee:
Bandcoin: Using Smart Contracts to Automate Mobile Network Bandwidth Roaming Agreements. - Vahid Khalilpour Akram, Orhan Dagdeviren, Bülent Tavli:
A Coverage-Aware Distributed k-Connectivity Maintenance Algorithm for Arbitrarily Large k in Mobile Sensor Networks. - Karl-Philipp Kortmann
, Moritz Fehsenfeld, Mark Wielitzka:
Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems. - Sara Zahedian, Kaveh Farokhi Sadabadi, Amir Nohekhan:
Localization of Autonomous Vehicles: Proof of Concept for A Computer Vision Approach. - Ulices Santa Cruz, James Ferlez, Yasser Shoukry:
Safe-by-Repair: A Convex Optimization Approach for Repairing Unsafe Two-Level Lattice Neural Network Controllers. - Alexandr Kuznetsov, Krishna Mullia, Zexiang Xu, Milos Hasan, Ravi Ramamoorthi:
NeuMIP: Multi-Resolution Neural Materials. - Asmaa Haja
, Lambert R. B. Schomaker
:
A fully automated end-to-end process for fluorescence microscopy images of yeast cells: From segmentation to detection and classification. - Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
:
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations. - Kapil D. Katyal, I-Jeng Wang, Gregory D. Hager:
Out-of-Distribution Robustness with Deep Recursive Filters. - Pavel Gavrilenko, Bernard Haasdonk, Oleg Iliev, Mario Ohlberger, Felix Schindler, Pavel Toktaliev, Tizian Wenzel, Maha Youssef:
A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows. - Alisha Menon, Anirudh Natarajan, Reva Agashe, Daniel Sun, Melvin Aristio, Harrison Liew, Yakun Sophia Shao, Jan M. Rabaey:
Efficient emotion recognition using hyperdimensional computing with combinatorial channel encoding and cellular automata. - Jason J. Choi, Donggun Lee, Koushil Sreenath, Claire J. Tomlin, Sylvia L. Herbert:
Robust Control Barrier-Value Functions for Safety-Critical Control. - Thomas D. Pike, Samantha Golden, Daniel Lowdermilk, Brandon Luong, Benjamin Rosado:
Growing the Simulation Ecosystem. - Steven A. Grosz, Joshua J. Engelsma, Anil K. Jain:
C2CL: Contact to Contactless Fingerprint Matching. - Haoyu Zhang, Marcel Grimmer, Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch:
On the Applicability of Synthetic Data for Face Recognition. - Aditi Mishra, Utkarsh Soni, Jinbin Huang, Chris Bryan:
Why? Why not? When? Visual Explanations of Agent Behavior in Reinforcement Learning. - Caner Hazirbas, Joanna Bitton, Brian Dolhansky, Jacqueline Pan, Albert Gordo, Cristian Canton-Ferrer:
Towards measuring fairness in AI: the Casual Conversations dataset. - Cenk Baykal, Lucas Liebenwein, Dan Feldman, Daniela Rus:
Low-Regret Active learning. - Ernesto G. Birgin, José Mario Martínez:
Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients. - Emmett Padway, Dimitri Mavriplis:
Approximate Linearization of Fixed Point Iterations: Error Analysis of Tangent and Adjoint Problems Linearized about Non-Stationary Points. - Matthew F. Singh, Chong Wang, Michael W. Cole, ShiNung Ching:
Efficient state and parameter estimation for high-dimensional nonlinear system identification with application to MEG brain network modeling. - Antoine Prouvost, Justin Dumouchelle, Maxime Gasse, Didier Chételat, Andrea Lodi:
Ecole: A Library for Learning Inside MILP Solvers. - Pranjal Singh Rajput, Shivangi Aneja:
IndoFashion : Apparel Classification for Indian Ethnic Clothes. - Hassan S. Shavarani, Anoop Sarkar:
Better Neural Machine Translation by Extracting Linguistic Information from BERT. - Syed Talha Bukhari, Abdul Wahab Amin, Muhammad Abdullah Naveed, Muhammad Rzi Abbas:
ARC: A Vision-based Automatic Retail Checkout System. - Yue Wang, Shaofeng Zou, Yi Zhou:
Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation. - Lifeng Fan, Shuwen Qiu, Zilong Zheng, Tao Gao, Song-Chun Zhu, Yixin Zhu:
Learning Triadic Belief Dynamics in Nonverbal Communication from Videos. - Philippe Hansen-Estruch, Wenling Shang, Lerrel Pinto, Pieter Abbeel, Stas Tiomkin:
GEM: Group Enhanced Model for Learning Dynamical Control Systems. - Yuansheng Hua, Lichao Mou, Pu Jin, Xiao Xiang Zhu:
MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images. - Ashwin Raju, Shun Miao, Chi-Tung Cheng, Le Lu, Mei Han, Jing Xiao, Chien-Hung Liao, Junzhou Huang, Adam P. Harrison:
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. - Mohanad Obeed, Anas Chaaban:
Relay-Reconfigurable Intelligent Surface Cooperation for Energy-Efficient Multiuser Systems. - Jin Liu, Peng Chen, Tao Liang, Zhaoxing Li, Cai Yu, Shuqiao Zou, Jiao Dai, Jizhong Han:
LI-Net: Large-Pose Identity-Preserving Face Reenactment Network. - Liu Chen, Meysam Asgari:
Interpreting A Pre-trained Model Is A Key For Model Architecture Optimization: A Case Study On Wav2Vec 2.0. - (Withdrawn) Irregular-Mapped Protograph LDPC-Coded Modulation: A Bandwidth-Efficient Solution for 5G Networks with Massive Data-Storage Requirement.
- Xiao Lv, Wei Cui, Yulong Liu:
Time-Data Tradeoffs in Structured Signals Recovery via Proximal-Gradient Homotopy Method. - Xudong Tian, Zhizhong Zhang, Shaohui Lin, Yanyun Qu, Yuan Xie, Lizhuang Ma:
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification. - Nathan Hatch, Byron Boots:
The Value of Planning for Infinite-Horizon Model Predictive Control. - Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Self-Supervised Learning for Gastritis Detection with Gastric X-Ray Images. - Sifan Liu, Art B. Owen:
Quasi-Newton Quasi-Monte Carlo for variational Bayes. - Xinkai Zhao, Chaowei Fang, Feng Gao, De-Jun Fan, Xutao Lin, Guanbin Li:
Deep Transformers for Fast Small Intestine Grounding in Capsule Endoscope Video. - Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Affordance Transfer Learning for Human-Object Interaction Detection. - Xian Shi, Pan Zhou, Wei Chen, Lei Xie:
Darts-Conformer: Towards Efficient Gradient-Based Neural Architecture Search For End-to-End ASR. - Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh:
On the Critical Role of Conventions in Adaptive Human-AI Collaboration. - Xingjiao Wu, Ziling Hu, Xiangcheng Du, Jing Yang, Liang He:
Document Layout Analysis via Dynamic Residual Feature Fusion. - Dmitry Berdinsky, Prohrak Kruengthomya:
Representing Polynomial Splines over Infinite Hierarchical Meshes by Finite Automata. - Rui Yao, Feng Qiu:
Hybrid QSS and Dynamic Extended-Term Simulation Based on Holomorphic Embedding. - Rui Yao, Feng Qiu, Kai Sun:
Contingency Analysis Based on Partitioned and Parallel Holomorphic Embedding. - Zhongbao Tian, Zhi Chen, Boyu Ning:
3D Beam Training in Terahertz Communication: A Quadruple-UPA Architecture. - Arian Nadjimzadah, David E. Narváez:
On Salum's Algorithm for X3SAT. - Sara Jafarbeiki, Amin Sakzad, Shabnam Kasra Kermanshahi, Raj Gaire, Ron Steinfeld, Shangqi Lai, Gad Abraham:
PrivGenDB: Efficient and privacy-preserving query executions over encrypted SNP-Phenotype database. - Zhaoyi Wan, Haoran Chen, Jielei Zhang, Wentao Jiang, Cong Yao, Jiebo Luo:
Facial Attribute Transformers for Precise and Robust Makeup Transfer. - Zhi Chen, Chong Han, Boyu Ning, Zhongbao Tian, Shaoqian Li:
Intelligent Reflecting Surfaces Assisted Terahertz Communications toward 6G. - Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. - (Withdrawn) Rademacher Complexity and Numerical Quadrature Analysis of Stable Neural Networks with Applications to Numerical PDEs.
- Yi-Ting Chen, Jinghao Shi, Christoph Mertz, Shu Kong, Deva Ramanan:
Multimodal Object Detection via Bayesian Fusion. - Jonathan Conroy, Christopher Thierauf, Parker Rule, Evan A. Krause, Hugo A. Akitaya, Andrei Gonczi, Matias Korman, Matthias Scheutz:
Robot Development and Path Planning for Indoor Ultraviolet Light Disinfection. - Gerardo Hernández-Duenas, Jorge Balbas:
A Central-Upwind Scheme for Two-layer Shallow-water Flows with Friction and Entrainment along Channels. - Shigeru Ninagawa, Genaro J. Martínez:
Visualization of the Computation Process of a Universal Register Machine. - Xudong Wang, Long Lian, Stella X. Yu:
Unsupervised Visual Attention and Invariance for Reinforcement Learning. - Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov:
Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features. - Rahul Rahaman, Atin Ghosh, Alexandre H. Thiéry:
Pretrained equivariant features improve unsupervised landmark discovery. - Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S. Glicksberg:
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data. - Noppadol Assavakamhaenghan, Supatsara Wattanakriengkrai, Naomichi Shimada, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto:
Does the First-Response Matter for Future Contributions? A Study of First Contributions. - Jiayang Cheng, Haiyun Jiang, Deqing Yang, Yanghua Xiao:
A Question-answering Based Framework for Relation Extraction Validation. - Yi Ding, Neethu Robinson, Qiuhao Zeng, Cuntai Guan:
TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition. - Qianlan Bai, Yuedong Xu, Xin Wang:
Understanding the Benefit of Being Patient in Payment Channel Networks. - Dariusz R. Kowalski, Miguel A. Mosteiro:
Polynomial Anonymous Dynamic Distributed Computing without a Unique Leader. - Ini Oguntola, Dana Hughes, Katia P. Sycara:
Deep Interpretable Models of Theory of Mind For Human-Agent Teaming. - Shu Kong, Deva Ramanan:
OpenGAN: Open-Set Recognition via Open Data Generation. - Roshan Pradhan, Shuo Yang, Frank Dellaert, Howie Choset, Matthew J. Travers:
Optimal Control for Structurally Sparse Systems using Graphical Inference. - Happy Mittal, Aniket Chakrabarti, Belhassen Bayar, Animesh Anant Sharma, Nikhil Rasiwasia:
Distantly Supervised Transformers For E-Commerce Product QA. - Luis Ángel Larios Cárdenas, Frédéric Gibou:
Level-Set Curvature Neural Networks: A Hybrid Approach. - Badr AlKhamissi, Muhammad N. ElNokrashy, Michael Spranger
:
The Emergence of Abstract and Episodic Neurons in Episodic Meta-RL. - Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai:
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network. - Jinlai Zhang, Binbin Liu, Lyujie Chen, Bo Ouyang, Jihong Zhu, Minchi Kuang, Houqing Wang, Yanmei Meng:
The art of defense: letting networks fool the attacker. - Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Ian R. Manchester:
An almost globally convergent observer for visual SLAM without persistent excitation. - Sanqing Qu, Guang Chen, Zhijun Li, Lijun Zhang, Fan Lu, Alois C. Knoll:
ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization. - Benjamin Waymouth, Akansel Cosgun, Rhys Newbury, Tin Tran, Wesley P. Chan, Tom Drummond, Elizabeth A. Croft:
Demonstrating Cloth Folding to Robots: Design and Evaluation of a 2D and a 3D User Interface. - Jiashuo Yu, Ying Cheng, Rui Feng:
MPN: Multimodal Parallel Network for Audio-Visual Event Localization. - Jiayu Yang, José M. Álvarez, Miaomiao Liu:
Self-supervised Learning of Depth Inference for Multi-view Stereo. - Antoine Cordier, Deepan Das, Pierre Gutierrez:
Active learning using weakly supervised signals for quality inspection. - Xudong Li, Li Feng, Lei Li, Chen Wang:
Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation. - Pierre Gutierrez, Maria Luschkova, Antoine Cordier, Mustafa Shukor, Mona Schappert, Tim Dahmen:
Synthetic training data generation for deep learning based quality inspection. - Kai Wang, Zhene Zou, Qilin Deng, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui:
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. - My A. Vu, Nam H. Nguyen
, Hanh Le T. Nguyen, Anh N. Ta, Mong H. Nguyen:
Optimal fire allocation in a combat model of mixed NCW type. - Joel Frank, Thorsten Holz:
[RE] CNN-generated images are surprisingly easy to spot...for now. - Peterson Yuhala
, Pascal Felber, Valerio Schiavoni, Alain Tchana:
Plinius: Secure and Persistent Machine Learning Model Training. - Qingqing Long, Yilun Jin, Yi Wu, Guojie Song:
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. - Stefan Edelkamp:
On the Power of Refined Skat Selection. - Fedor V. Fomin, Petr A. Golovach, Dimitrios M. Thilikos:
Parameterized Complexity of Elimination Distance to First-Order Logic Properties. - Gal Amram, Amir Rubin, Gera Weiss:
A Cycle Joining Construction of the Prefer-Max De Bruijn Sequence. - Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon:
Universal Adversarial Training with Class-Wise Perturbations. - Albert Zeyer, André Merboldt, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Librispeech Transducer Model with Internal Language Model Prior Correction. - Paul Tiwald, Alexandra Ebert, Dániel T. Soukup:
Representative & Fair Synthetic Data. - Divyansh Aggarwal, Jiayu Zhou, Anil K. Jain:
FedFace: Collaborative Learning of Face Recognition Model. - Thomas Mildner, Gian-Luca Savino:
Ethical User Interfaces: Exploring the Effects of Dark Patterns on Facebook. - Minchul Shin, Yoonjae Cho, ByungSoo Ko, Geonmo Gu:
RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network. - Sirintra Vaiwsri, Thilina Ranbaduge, Peter Christen, Kee Siong Ng:
Accurate and Efficient Suffix Tree Based Privacy-Preserving String Matching. - Chao Wang, Thomas H. Weisswange
, Matti Krüger, Christiane B. Wiebel-Herboth:
Human-Vehicle Cooperation on Prediction-Level: Enhancing Automated Driving with Human Foresight. - Wenjie Yin, Hang Yin, Danica Kragic, Mårten Björkman:
Graph-based Normalizing Flow for Human Motion Generation and Reconstruction. - Rolf Drechsler:
Polynomial Circuit Verification using BDDs. - Christian Hardmeier, Marta R. Costa-jussà, Kellie Webster, Will Radford, Su Lin Blodgett:
How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP. - David Mödinger, Juri Dispan, Franz J. Hauck:
Shared-Dining: Broadcasting Secret Shares using Dining-Cryptographers Groups. - Ali Ahmad Malik:
Framework to model virtual factories: a digital twin view. - Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernández-Marqués, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane:
On-device Federated Learning with Flower. - Aristodemos Paphitis, Nicolas Kourtellis, Michael Sirivianos:
A First Look into the Structural Properties and Resilience of Blockchain Overlays. - António Farinhas, André F. T. Martins, Pedro M. Q. Aguiar:
Multimodal Continuous Visual Attention Mechanisms. - Chi Zhang, Nan Song, Guosheng Lin, Yun Zheng, Pan Pan, Yinghui Xu:
Few-Shot Incremental Learning with Continually Evolved Classifiers. - Yue Ling Che, Weibin Long, Sheng Luo, Kaishun Wu, Rui Zhang:
Energy-Efficient UAV Multicasting with Simultaneous FSO Backhaul and Power Transfer. - Immanuel Weber, Jens Bongartz, Ribana Roscher:
Artificial and beneficial - Exploiting artificial images for aerial vehicle detection. - Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Enhancing Scientific Papers Summarization with Citation Graph. - Ao Zhou, Jianlei Yang, Yeqi Gao, Tong Qiao, Yingjie Qi, Xiaoyi Wang, Yunli Chen, Pengcheng Dai, Weisheng Zhao, Chunming Hu:
Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms. - Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner:
Differentiable Patch Selection for Image Recognition. - Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, Ran He:
Everything's Talkin': Pareidolia Face Reenactment. - Emma Hjellbrekke Stensby, Kai Olav Ellefsen, Kyrre Glette:
Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment. - Yangchen Xie, Xinyuan Chen, Li Sun, Yue Lu:
DG-Font: Deformable Generative Networks for Unsupervised Font Generation. - Dvir Samuel, Gal Chechik:
Distributional Robustness Loss for Long-tail Learning. - Moi Hoon Yap, Bill Cassidy, Joseph M. Pappachan, Claire O'Shea, David Gillespie, Neil D. Reeves:
Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers. - Aditya Jindal, Ankur Gupta, Jaya Srivastava, Preeti Menghwani, Vijit Malik, Vishesh Kaushik, Ashutosh Modi:
BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with Tables. - Pedro García López, Aleksander Slominski, Michael Behrendt, Bernard Metzler:
Serverless Predictions: 2021-2030. - Tahmoores Farjam, Themistoklis Charalambous:
Effect of Computational Power of Sensors on Event-Triggered Control Mechanisms over a Shared Contention-Based Network. - Bo Pang, Tianyang Zhao, Xu Xie, Ying Nian Wu:
Trajectory Prediction with Latent Belief Energy-Based Model. - Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli:
HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks. - Yuval Belfer, Amnon Geifman, Meirav Galun, Ronen Basri:
Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks. - Zhaoyang Huang, Xiaokun Pan, Runsen Xu, Yan Xu, Ka Chun Cheung, Guofeng Zhang, Hongsheng Li:
LIFE: Lighting Invariant Flow Estimation. - Xing Lan, Qinghao Hu, Jian Cheng:
HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap. - Mingyang Shang, Dawei Xiang, Zhicheng Wang, Erjin Zhou:
V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection. - Tábitha E. Rosa, Bayu Jayawardhana:
On the one-shot data-driven verification of dissipativity of LTI systems with general quadratic supply rate function. - Yilin Liu, Ke Xie, Hui Huang:
VGF-Net: Visual-Geometric Fusion Learning for Simultaneous Drone Navigation and Height Mapping. - Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada:
Neural Articulated Radiance Field. - Jinyoung Choi, Christopher R. Dance, Jung-Eun Kim, Seulbin Hwang, Kyungsik Park:
Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive Navigation. - Andy L. Jones:
Scaling Scaling Laws with Board Games. - Shuiwang Li, Yuting Liu, Qijun Zhao, Ziliang Feng:
Learning Residue-Aware Correlation Filters and Refining Scale Estimates with the GrabCut for Real-Time UAV Tracking. - Soumya Tripathy, Juho Kannala, Esa Rahtu:
Single Source One Shot Reenactment using Weighted motion From Paired Feature Points. - Thierry Zufferey, Gustavo Valverde, Gabriela Hug:
Unsupervised Disaggregation of Water Heater Load from Smart Meter Data Processing. - Wanying Ge, Michele Panariello, Jose Patino, Massimiliano Todisco, Nicholas W. D. Evans:
Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection. - Apostolos I. Rikos, Andreas Grammenos, Evangelia Kalyvianaki, Christoforos N. Hadjicostis, Themistoklis Charalambous, Karl Henrik Johansson:
Optimal CPU Scheduling in Data Centers via a Finite-Time Distributed Quantized Coordination Mechanism. - Oskar Lundström, Michel Raynal, Elad Michael Schiller:
Self-stabilizing Multivalued Consensus in Asynchronous Crash-prone Systems. - Haodong Li, Fang Fang, Zhiguo Ding:
DRL-Assisted Resource Allocation for NOMA-MEC Offloading with Hybrid SIC. - Bo Zhang, Li Niu, Liqing Zhang:
Image Composition Assessment with Saliency-augmented Multi-pattern Pooling. - Zhicheng Huang, Zhaoyang Zeng, Yupan Huang, Bei Liu, Dongmei Fu, Jianlong Fu:
Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning. - Nils Jakob Eckstein, Niels Grüttemeier, Christian Komusiewicz, Frank Sommer:
Destroying Multicolored Paths and Cycles in Edge-Colored Graphs. - José E. Moreira, Kit Barton, Steven Battle, Peter Bergner, Ramon Bertran, Puneeth Bhat, Pedro Caldeira, David Edelsohn, Gordon C. Fossum, Brad Frey, Nemanja Ivanovic, Chip Kerchner, Vincent Lim, Shakti Kapoor, Tulio Machado Filho, Silvia Melitta Mueller, Brett Olsson, Satish Sadasivam, Baptiste Saleil, Bill Schmidt, Rajalakshmi Srinivasaraghavan, Shricharan Srivatsan, Brian W. Thompto, Andreas Wagner, Nelson Wu:
A matrix math facility for Power ISA(TM) processors. - Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord:
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. - Cristofer Englund, Eren Erdal Aksoy, Fernando Alonso-Fernandez, Martin Daniel Cooney, Sepideh Pashami, Björn Åstrand:
AI in Smart Cities: Challenges and approaches to enable road vehicle automation and smart traffic control. - Yijiang Pang, Chao Huang, Rui Liu:
Synthesized Trust Learning from Limited Human Feedback for Human-Load-Reduced Multi-Robot Deployments. - Ayoub Benaissa, Bilal Retiat, Bogdan Cebere, Alaa Eddine Belfedhal:
TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption. - Yijing Xie, Shaoshuai Mou, Shreyas Sundaram:
Towards Resilience for Multi-Agent QD-Learning. - Lucas Schott, Manon Césaire, Hatem Hajri, Sylvain Lamprier:
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks. - Antonis Sidiropoulos, Yiannis Karayiannidis, Zoe Doulgeri:
Human-robot collaborative object transfer using human motion prediction based on Cartesian pose Dynamic Movement Primitives. - Xin Ding, Z. Jane Wang, Zuheng Xu, Yongwei Wang, William J. Welch:
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression. - Chengbin Pang, Ruotong Yu, Dongpeng Xu, Eric Koskinen, Georgios Portokalidis, Jun Xu:
Towards Optimal Use of Exception Handling Information for Function Detection. - Lea Müller, Ahmed A. A. Osman, Siyu Tang, Chun-Hao P. Huang, Michael J. Black:
On Self-Contact and Human Pose. - Vivek Singh Bawa
, Gurkirt Singh, Francis Kaping'a, Inna Skarga-Bandurova
, Elettra Oleari, Alice Leporini, Carmela Landolfo, Pengfei Zhao, Xi Xiang, Gongning Luo, Kuanquan Wang, Liangzhi Li, Bowen Wang, Shang Zhao, Li Li, Armando Stabile, Francesco Setti, Riccardo Muradore, Fabio Cuzzolin:
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods. - Andrea Patane, Arno Blaas, Luca Laurenti, Luca Cardelli, Stephen J. Roberts, Marta Kwiatkowska:
Adversarial Robustness Guarantees for Gaussian Processes. - Lixuan Yang, Alessandro Finamore, Feng Jun, Dario Rossi:
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications. - Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Tobias Gybel Hovgaard, Jan-Willem van Wingerden:
Blade Effective Wind Speed Estimation: A Subspace Predictive Repetitive Estimator Approach. - Pierangelo di Sanzo:
A Preliminary Proposal for an Analytical Model for Evaluating the Impact on Performance of Data Access Patterns in Transaction Execution. - Tunazzina Islam, Dan Goldwasser:
Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model. - Masato Hagiwara, Joshua B. Tanner, Keisuke Sakaguchi:
GrammarTagger: A Multilingual, Minimally-Supervised Grammar Profiler for Language Education. - John McConnell, Brendan J. Englot:
Predictive 3D Sonar Mapping of Underwater Environments via Object-specific Bayesian Inference. - Marc-Antoine Georges, Laurent Girin, Jean-Luc Schwartz, Thomas Hueber:
Learning robust speech representation with an articulatory-regularized variational autoencoder. - Lena Leitenmaier, Olof Runborg:
Upscaling errors in Heterogeneous Multiscale Methods for the Landau-Lifshitz equation. - Soheyla Amirian, Abolfazl Farahani, Hamid R. Arabnia, Khaled Rasheed, Thiab R. Taha:
The Use of Video Captioning for Fostering Physical Activity. - Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao, Changxin Gao, Nong Sang:
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal. - Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng:
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays. - Mohammad Akbarpour, Yeganeh Alimohammadi, Shengwu Li, Amin Saberi:
The Value of Excess Supply in Spatial Matching Markets. - Benjamin Coleman, Santiago Segarra, Anshumali Shrivastava, Alex Smola:
Graph Reordering for Cache-Efficient Near Neighbor Search. - Michael Kaufmann, Gabriel Stechschulte, Anna Huber:
Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python. - Satvik Garg, Himanshu Jindal:
Evaluation of Time Series Forecasting Models for Estimation of PM2.5 Levels in Air. - Ellie Simonson:
Semi-Supervised Classification of Social Media Posts: Identifying Sex-Industry Posts to Enable Better Support for Those Experiencing Sex-Trafficking. - Omar Adjali, Romaric Besançon, Olivier Ferret, Hervé Le Borgne, Brigitte Grau:
Multimodal Entity Linking for Tweets. - Maaike Van Roy, Pieter Robberechts, Wen-Chi Yang, Luc De Raedt, Jesse Davis:
Leaving Goals on the Pitch: Evaluating Decision Making in Soccer. - Additya Popli, Saraansh Tandon, Joshua J. Engelsma, Naoyuki Onoe, Atsushi Okubo, Anoop M. Namboodiri:
A Unified Model for Fingerprint Authentication and Presentation Attack Detection. - Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. - Bishakh Chandra Ghosh, Venkatraman Ramakrishna, Chander Govindarajan, Dushyant Behl, Dileban Karunamoorthy, Ermyas Abebe, Sandip Chakraborty:
Decentralized Cross-Network Identity Management for Blockchain Interoperation. - Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner
, Sepp Hochreiter, Günter Klambauer:
Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction. - Thomas P. Dover:
Evaluating Medical IoT (MIoT) Device Security using NISTIR-8228 Expectations. - Rui Mao, Chenghua Lin, Frank Guerin:
Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification. - Hanwen Jiang, Shaowei Liu, Jiashun Wang, Xiaolong Wang:
Hand-Object Contact Consistency Reasoning for Human Grasps Generation. - Magda Gregorová, Marc Desaules, Alexandros Kalousis:
Learned transform compression with optimized entropy encoding. - Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Warp Consistency for Unsupervised Learning of Dense Correspondences. - Zhiqiu Lin, Deva Ramanan, Aayush Bansal:
Streaming Self-Training via Domain-Agnostic Unlabeled Images. - Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang:
Regularizing Generative Adversarial Networks under Limited Data. - Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics. - Shunsuke Saito, Jinlong Yang, Qianli Ma, Michael J. Black:
SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks. - Soheyla Amirian, Khaled Rasheed, Thiab R. Taha, Hamid R. Arabnia:
Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning. - Francisco Galuppo Azevedo, Fabricio Murai:
Evaluating the state-of-the-art in mapping research spaces: a Brazilian case study. - Rezvaneh Rezapour, Sravana Reddy, Ann Clifton, Rosie Jones:
Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization. - Kuniaki Saito, Kate Saenko:
OVANet: One-vs-All Network for Universal Domain Adaptation. - Dongfang Xu, Vahid Jamali, Xianghao Yu, Derrick Wing Kwan Ng, Robert Schober:
Optimal Resource Allocation Design for Large IRS-Assisted SWIPT Systems: A Scalable Optimization Framework. - Frederick M. Vincent, Dashiell E. A. Fryer:
Top Score in Axelrod Tournament. - Kolawole Ogunsina, Daniel DeLaurentis:
Enabling Integration and Interaction for Decentralized Artificial Intelligence in Airline Disruption Management. - Aécio S. R. Santos, Aline Bessa, Fernando Chirigati, Christopher Musco, Juliana Freire:
Correlation Sketches for Approximate Join-Correlation Queries. - Yin Li, Dhrubajyoti Ghosh, Peeyush Gupta, Sharad Mehrotra, Nisha Panwar, Shantanu Sharma:
Prism: Private Verifiable Set Computation over Multi-Owner Outsourced Databases. - Siyi Wang, Qingchen Liu, Precious Ugo Abara, John S. Baras, Sandra Hirche:
Value of information in networked control systems subject to delay. - Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Universal Spectral Adversarial Attacks for Deformable Shapes. - Javier Antonio González-Trejo, Diego Alberto Mercado-Ravell:
Monitoring Social-distance in Wide Areas during Pandemics: a Density Map and Segmentation Approach. - Rémi Pautrat, Juan-Ting Lin, Viktor Larsson, Martin R. Oswald, Marc Pollefeys:
SOLD2: Self-supervised Occlusion-aware Line Description and Detection. - Hitoshi Manabe, Masato Hagiwara:
EXPATS: A Toolkit for Explainable Automated Text Scoring. - Md. Imran Hossen, Yazhou Tu, Md Fazle Rabby, Md. Nazmul Islam, Hui Cao, Xiali Hei:
An Object Detection based Solver for Google's Image reCAPTCHA v2. - André Luckow, Kartik Rattan, Shantenu Jha:
Exploring Task Placement for Edge-to-Cloud Applications using Emulation. - Benjamin Doerr, Timo Kötzing:
Lower Bounds from Fitness Levels Made Easy. - André Luckow, Kartik Rattan, Shantenu Jha:
Pilot-Edge: Distributed Resource Management Along the Edge-to-Cloud Continuum. - Andrew B. Duncan, Andrew M. Stuart
, Marie-Therese Wolfram:
Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods. - Bolun Li, Pengfei Su, Milind Chabbi, Shuyin Jiao, Xu Liu:
DJXPerf: Identifying Memory Inefficiencies via Object-centric Profiling for Java. - Rui Mao, Chenghua Lin, Frank Guerin:
Interpreting Verbal Metaphors by Paraphrasing. - Krzysztof R. Apt, Tony Hoare:
Edsger W. Dijkstra: a Commemoration. - Eric Upschulte, Stefan Harmeling, Katrin Amunts
, Timo Dickscheid
:
Contour Proposal Networks for Biomedical Instance Segmentation. - Paola Francesca Antonietti, Gianmarco Manzini, Simone Scacchi, Marco Verani:
A review on arbitrarily regular conforming virtual element methods for elliptic partial differential equations. - Katarzyna Pekala, Katarzyna Woznica, Przemyslaw Biecek:
Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure. - Nicholas Guttenberg, Marek Rosa:
Bootstrapping of memetic from genetic evolution via inter-agent selection pressures. - Héctor García de Marina, Juan Jimenez Castellanos, Weijia Yao:
Leaderless collective motions in affine formation control. - Yi Zeng, Won Park, Z. Morley Mao, Ruoxi Jia:
Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective. - Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda:
PrivateSNN: Fully Privacy-Preserving Spiking Neural Networks. - Ali Almadan, Ajita Rattani:
Towards On-Device Face Recognition in Body-worn Cameras. - Kaiqi Zhang, Cole Hawkins, Xiyuan Zhang, Cong Hao, Zheng Zhang:
On-FPGA Training with Ultra Memory Reduction: A Low-Precision Tensor Method. - Adam W. Harley, Yiming Zuo, Jing Wen, Ayush Mangal, Shubhankar Potdar, Ritwick Chaudhry, Katerina Fragkiadaki:
Track, Check, Repeat: An EM Approach to Unsupervised Tracking. - Marisa Llorens, Javier Oliver, Josep Silva, Salvador Tamarit:
Maximal and minimal dynamic Petri net slicing. - Chaitanya Kaul, Nick E. Pears, Suresh Manandhar:
FatNet: A Feature-attentive Network for 3D Point Cloud Processing. - Lun Jiang, Nima Salehi Sadghiani, Zhuo Tao:
Generating multi-type sequences of temporal events to improve fraud detection in game advertising. - Sethuraman Sankaran, David Yang, Ser-Nam Lim:
Multimodal Fusion Refiner Networks. - Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, Leonidas J. Guibas:
CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds. - Zi Wang, Chengcheng Li, Xiangyang Wang:
Convolutional Neural Network Pruning with Structural Redundancy Reduction. - Kshitij Bhardwaj, Maya B. Gokhale:
Semi-supervised on-device neural network adaptation for remote and portable laser-induced breakdown spectroscopy. - Yue Xie, Aneta Neumann, Frank Neumann:
Heuristic Strategies for Solving Complex Interacting Large-Scale Stockpile Blending Problems. - Chidera Biringa, Gökhan Kul:
Automated User Experience Testing through Multi-Dimensional Performance Impact Analysis. - Xina Zhang:
Weight Distributions of Two Classes of Linear Codes with Five or Six Weights. - Zheng Zhang, Jian Chen, Qingqing Wu, Yuanwei Liu, Lu Lv, Xunqi Su:
Securing NOMA Networks by Exploiting Intelligent Reflecting Surface. - Vladimir Braverman, Aditya Krishnan, Christopher Musco:
Linear and Sublinear Time Spectral Density Estimation. - Darsh J. Shah, Lili Yu, Tao Lei, Regina Barzilay:
Nutribullets Hybrid: Multi-document Health Summarization. - Zekai Chen, Dingshuo Chen, Zixuan Yuan, Xiuzhen Cheng, Xiao Zhang:
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT. - Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen:
Gi and Pal Scores: Deep Neural Network Generalization Statistics. - Jun Lai, Heping Dong:
A fast solver for elastic scattering from axisymmetric objects by boundary integral equations. - Simeng Sun, Mohit Iyyer:
Revisiting Simple Neural Probabilistic Language Models. - Vivek Arora, Enrique Larios Vargas, Maurício Aniche, Arie van Deursen:
Secure Software Engineering in the Financial Services: A Practitioners' Perspective. - Yupeng Ren, Yulong Xing, Dean Wang, Jianxian Qiu:
High order asymptotic preserving Hermite WENO fast sweeping method for the steady-state SN transport equation. - Yuan Zhao, Xiaochuan Ke, Bo Zhao, Yuhang Xiao, Lei Huang:
One-bit Spectrum Sensing with the Eigenvalue Moment Ratio Approach. - Q. Vera Liao, Milena Pribic, Jaesik Han, Sarah Miller, Daby Sow:
Question-Driven Design Process for Explainable AI User Experiences. - Yair Bartal:
Advances in Metric Ramsey Theory and its Applications. - Shuang Gao:
Centrality-Weighted Opinion Dynamics: Disagreement and Social Network Partition. - Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry:
Strategic Information Revelation in Crowdsourcing Systems Without Verification. - Loris Nanni, Stefano Ghidoni, Sheryl Brahnam:
Deep Features for training Support Vector Machine. - Xin Fan, Yue Wang, Yan Huo, Zhi Tian:
Joint Optimization of Communications and Federated Learning Over the Air. - Ziqian Bai, Zhaopeng Cui, Xiaoming Liu, Ping Tan:
Riggable 3D Face Reconstruction via In-Network Optimization. - Elliott Skomski, Aaron Tuor, Andrew Avila, Lauren A. Phillips, Zachary New, Henry Kvinge
, Courtney D. Corley, Nathan O. Hodas:
Prototypical Region Proposal Networks for Few-Shot Localization and Classification. - Jubair Yusuf, A. S. M. Jahid Hasan, Luis Fernando Enriquez-Contreras, Sadrul Ula:
A Centralized Optimization Approach for Bidirectional PEV Impacts Analysis in a Commercial Building-Integrated Microgrid. - Misbah Shafi, Rakesh Kumar Jha:
Half-Duplex Attack: An Effectual Attack Modelling in D2D Communication. - Jiaxin Li, Gim Hee Lee:
DeepI2P: Image-to-Point Cloud Registration via Deep Classification. - Leonardo Pepino, Pablo Riera, Luciana Ferrer:
Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings. - Zhiwei Xu, Bin Zhang, Yunpeng Bai, Dapeng Li, Guoliang Fan:
Learning to Coordinate via Multiple Graph Neural Networks. - Misbah Shafi, Rakesh Kumar Jha, Manish Sabraj:
A Survey on Security Issues of 5G NR: Perspective of Artificial Dust and Artificial Rain. - Yakoob Khan, Weicheng Ma, Soroush Vosoughi:
Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic. - Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee:
Progressive Temporal Feature Alignment Network for Video Inpainting. - Misbah Shafi, Rakesh Kumar Jha:
AR Based Half-Duplex Attack in Beyond 5G networks. - Jin Hyun Cheong, Tiankang Xie, Sophie Byrne, Luke J. Chang:
Py-Feat: Python Facial Expression Analysis Toolbox. - Abu Md Niamul Taufique, Andreas E. Savakis, Michael Braun, Daniel Kubacki, Ethan Dell, Lei Qian, Sean M. O'Rourke:
SiamReID: Confuser Aware Siamese Tracker with Re-identification Feature. - Steven Cao, Victor Sanh, Alexander M. Rush:
Low-Complexity Probing via Finding Subnetworks. - Diqiong Jiang, Yiwei Jin, Risheng Deng, Ruofeng Tong, Fang-Lue Zhang, Yu-Kun Lai, Ming Tang:
Reconstructing Recognizable 3D Face Shapes based on 3D Morphable Models. - Yanjie Li, Shoukui Zhang, Zhicheng Wang, Sen Yang, Wankou Yang, Shu-Tao Xia, Erjin Zhou:
TokenPose: Learning Keypoint Tokens for Human Pose Estimation. - Jiakun Liu, Haoxiang Zhang, Xin Xia, David Lo, Ying Zou, Ahmed E. Hassan, Shanping Li:
An Exploratory Study on the Repeatedly Shared External Links on Stack Overflow. - Changgong Zhang, Fangneng Zhan, Yuan Chang:
Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting. - Xiang Li, Changhe Song, Jingbei Li, Zhiyong Wu, Jia Jia, Helen M. Meng:
Towards Multi-Scale Style Control for Expressive Speech Synthesis. - Shohei Higashiyama, Masao Utiyama, Taro Watanabe, Eiichiro Sumita:
User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization. - Seo Taek Kong, Soomin Jeon, Jaewon Lee, Hongseok Lee, Kyu-Hwan Jung:
Relieving the Plateau: Active Semi-Supervised Learning for a Better Landscape. - Suzanna Parkinson, Hayden Ringer, Kate Wall, Erik Parkinson, Lukas Erekson, Daniel Christensen, Tyler J. Jarvis:
Analysis of Normal-Form Algorithms for Solving Systems of Polynomial Equations. - Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann:
Neural Temporal Point Processes: A Review. - Juncheng Lv, Zhao Kang, Xiao Lu, Zenglin Xu:
Pseudo-supervised Deep Subspace Clustering. - Pieter van Goor, Robert E. Mahony:
An Equivariant Filter for Visual Inertial Odometry. - Makoto Takamoto, Yusuke Morishita:
An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks. - Szu-Wei Fu, Cheng Yu, Tsun-An Hsieh, Peter Plantinga, Mirco Ravanelli, Xugang Lu, Yu Tsao:
MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement. - Qiang Wang, Yun Zheng, Pan Pan, Yinghui Xu:
Multiple Object Tracking with Correlation Learning. - Andargachew Mekonnen Gezmu, Andreas Nürnberger, Tesfaye Bayu Bati:
Extended Parallel Corpus for Amharic-English Machine Translation. - Qiyao Wang, Pengfei Li, Li Zhu, Yi Niu:
1st Place Solution to ICDAR 2021 RRC-ICTEXT End-to-end Text Spotting and Aesthetic Assessment on Integrated Circuit. - Alice Gatti, Zhixiong Hu, Pieter Ghysels, Esmond G. Ng, Tess E. Smidt:
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning. - Morris Gu, Akansel Cosgun, Wesley P. Chan, Tom Drummond, Elizabeth A. Croft:
Seeing Thru Walls: Visualizing Mobile Robots in Augmented Reality. - Yong Li
, Yih-Kuen Tsay, Moshe Y. Vardi:
Congruence Relations for Büchi Automata. - Kunming Luo, Ao Luo, Chuan Wang, Haoqiang Fan, Shuaicheng Liu:
ASFlow: Unsupervised Optical Flow Learning with Adaptive Pyramid Sampling. - Alain Menelet, Charles-Edmond Bichot:
Characterization of Android malware based on subgraph isomorphism. - Paolo Liberatore:
On Mixed Iterated Revisions. - Jérémy Berthomieu
, Christian Eder, Mohab Safey El Din:
msolve: A Library for Solving Polynomial Systems. - Ruiqing Zhang, Xiyang Wang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Zhi Li, Haifeng Wang, Ying Chen, Qinfei Li:
BSTC: A Large-Scale Chinese-English Speech Translation Dataset. - A. Ramesh Babu:
A SDFEM for system of two singularly perturbed problems of convection-diffusion type with discontinuous source term. - Beixiong Zheng, Rui Zhang:
IRS Meets Relaying: Joint Resource Allocation and Passive Beamforming Optimization. - Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang:
QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search. - Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma:
PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs. - Alain Menelet, Charles-Edmond Bichot:
Characterization of Android malware based on opcode analysis. - Zhichao Wang, Wenwen Yang, Pan Zhou, Wei Chen:
WNARS: WFST based Non-autoregressive Streaming End-to-End Speech Recognition. - Yonggang Qi, Kai Zhang, Aneeshan Sain, Yi-Zhe Song:
PQA: Perceptual Question Answering. - M. Y. Raitina, A. O. Pustovarova, E. M. Pokrovskaya:
The educational process organization in the distance learning model: problems and features. - Li Zhang, Vrizlynn L. L. Thing:
Three Decades of Deception Techniques in Active Cyber Defense - Retrospect and Outlook. - Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab:
GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference. - Di Wang, Jan Hoffmann, Thomas W. Reps:
Sound Probabilistic Inference via Guide Types. - Sara Atito Ali Ahmed, Muhammad Awais, Josef Kittler:
SiT: Self-supervised vIsion Transformer. - Yihui Fu, Luyao Cheng, Shubo Lv, Yukai Jv, Yuxiang Kong, Zhuo Chen, Yanxin Hu, Lei Xie, Jian Wu, Hui Bu, Xin Xu, Jun Du, Jingdong Chen:
AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario. - David Pastor-Escuredo:
Digital Epidemiology: A review. - Luca Biggio, Alexander Wieland, Manuel Arias Chao, Iason Kastanis, Olga Fink:
Uncertainty-aware Remaining Useful Life predictor. - Linh Kästner, Teham Buiyan, Xinlin Zhao, Lei Jiao, Zhengcheng Shen, Jens Lambrecht:
Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems. - Jiangyan Yi, Ye Bai, Jianhua Tao, Zhengkun Tian, Chenglong Wang, Tao Wang, Ruibo Fu:
Half-Truth: A Partially Fake Audio Detection Dataset. - Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long:
Open Domain Generalization with Domain-Augmented Meta-Learning. - Kurt Willis, Luis Oala
:
Post-Hoc Domain Adaptation via Guided Data Homogenization. - Maarten De Raedt, Fréderic Godin, Pieter Buteneers, Chris Develder, Thomas Demeester:
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders. - Daniel Reti, Daniel Fraunholz, Janis Zemitis, Daniel Schneider, Hans Dieter Schotten:
Deep Down the Rabbit Hole: On References in Networks of Decoy Elements. - Pablo Pueyo, Eduardo Montijano, Ana C. Murillo, Mac Schwager:
CineMPC: Controlling Camera Intrinsics and Extrinsics for Autonomous Cinematography. - Dániel Vince, Renáta Hodován, Daniella Bársony, Ákos Kiss:
Extending Hierarchical Delta Debugging with Hoisting. - Zhengcheng Shen, Linh Kästner, Jens Lambrecht:
Spatial Imagination With Semantic Cognition for Mobile Robots. - Yingjie Cai, Xuesong Chen, Chao Zhang, Kwan-Yee Lin, Xiaogang Wang, Hongsheng Li:
Semantic Scene Completion via Integrating Instances and Scene in-the-Loop. - Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin:
DeepProg: A Transformer-based Framework for Predicting Disease Prognosis. - Juan Zuluaga-Gomez
, Iuliia Nigmatulina, Amrutha Prasad, Petr Motlícek, Karel Veselý, Martin Kocour, Igor Szöke:
Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems. - Olivier Rukundo:
Effects of Improved Floor Function on the Accuracy of Bilinear Interpolation Algorithm. - Usman Ashraf, Christoph Mayr-Dorn, Atif Mashkoor, Alexander Egyed, Sebastiano Panichella:
Do Communities in Developer Interaction Networks align with Subsystem Developer Teams? An Empirical Study of Open Source Systems. - Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari:
On and beyond Total Variation regularisation in imaging: the role of space variance. - Daniel Reti, Norman Becker:
Escape the Fake: Introducing Simulated Container-Escapes for Honeypots. - Leonid A. Sevastianov, Konstantin P. Lovetskiy
, Dmitry S. Kulyabov:
Numerical integrating of highly oscillating functions: effective stable algorithms in case of linear phase. - Corentin Kervadec, Theo Jaunet, Grigory Antipov, Moez Baccouche, Romain Vuillemot, Christian Wolf:
How Transferable are Reasoning Patterns in VQA? - Patrick Pfreundschuh, Hubertus Franciscus Cornelis Hendrikx, Victor Reijgwart, Renaud Dubé, Roland Siegwart, Andrei Cramariuc:
Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training Data. - Zongxin Yang, Xin Yu, Yi Yang:
DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency. - Linh Kästner, Teham Buiyan, Xinlin Zhao, Zhengcheng Shen, Cornelius Marx, Jens Lambrecht:
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators. - Alaa Alameer Ahmad, Robert-Jeron Reifert, Hayssam Dahrouj
, Anas Chaaban, Aydin Sezgin, Tareq Y. Al-Naffouri
, Mohamed-Slim Alouini
:
Distributed Resource Management in Downlink Cache-enabled Multi-cloud Radio Access Networks. - Daniel Reti, David Klaaßen, Simon Duque Antón, Hans Dieter Schotten:
Secure (S)Hell: Introducing an SSH Deception Proxy Framework. - Linqi Zhou, Yilun Du, Jiajun Wu:
3D Shape Generation and Completion through Point-Voxel Diffusion. - Silvia Bonomi, Jérémie Decouchant
, Giovanni Farina, Vincent Rahli, Sébastien Tixeuil:
Practical Byzantine Reliable Broadcast on Partially Connected Networks. - Jing Xu, Minhui (Jason) Xue, Stjepan Picek:
Explainability-based Backdoor Attacks Against Graph Neural Networks. - Kouji Matsui:
A Proposal for an Interactive Shell Based on a Typed Lambda Calculus. - Yuanrui Zhang:
A Dynamic Logic for Verification of Synchronous Models based on Theorem Proving. - Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han:
Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. - Lorenzo Clemente, Slawomir Lasota, Radoslaw Piórkowski:
Determinisability of register and timed automata. - Gianlorenzo D'Angelo, Esmaeil Delfaraz, Hugo Gilbert:
Computation and Bribery of Voting Power in Delegative Simple Games. - Yucong Zhou, Zezhou Zhu, Zhao Zhong:
Learning specialized activation functions with the Piecewise Linear Unit. - Hal Roberts, Rahul Bhargava, Linas Valiukas, Dennis Jen, Momin M. Malik, Cindy Bishop, Emily Ndulue, Aashka Dave, Justin Clark, Bruce Etling, Robert Faris, Anushka Shah, Jasmin Rubinovitz, Alexis Hope, Catherine D'Ignazio, Fernando Bermejo, Yochai Benkler, Ethan Zuckerman:
Media Cloud: Massive Open Source Collection of Global News on the Open Web. - Marco Hoffmann, Daniel Méndez, Fabian Fagerholm, Anton Luckhardt:
The Human Side of Software Engineering: An Investigation of Challenges. - Antoine Kilzi, Joumana Farah, Charbel Abdel Nour, Catherine Douillard:
Optimal Resource Allocation for Full-Duplex IoT Systems Underlaying Cellular Networks with Mutual SIC NOMA. - Muhammad AbdurRafae:
HindSight: A Graph-Based Vision Model Architecture For Representing Part-Whole Hierarchies. - Björn Lindqvist, Ali-akbar Agha-mohammadi, George Nikolakopoulos:
Exploration-RRT: A multi-objective Path Planning and Exploration Framework for Unknown and Unstructured Environments. - Joan Serrà, Santiago Pascual, Jordi Pons:
On tuning consistent annealed sampling for denoising score matching. - Christian Göttel, Rafael Pires, Isabelly Rocha, Sébastien Vaucher, Pascal Felber, Marcelo Pasin, Valerio Schiavoni:
Security, Performance and Energy Implications of Hardware-assisted Memory Protection Mechanisms on Event-based Streaming Systems. - Su Lu, Han-Jia Ye, De-Chuan Zhan:
Support-Target Protocol for Meta-Learning. - Su Lu, Han-Jia Ye, De-Chuan Zhan:
Few-Shot Action Recognition with Compromised Metric via Optimal Transport. - Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen:
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data. - The Anh Han, Tom Lenaerts, Francisco C. Santos, Luís Moniz Pereira:
Voluntary safety commitments provide an escape from over-regulation in AI development. - Wei W. Xing, Akeel A. Shah, Peng Wang, Shandian Zhe, Qian Fu, Robert M. Kirby:
Residual Gaussian Process: A Tractable Nonparametric Bayesian Emulator for Multi-fidelity Simulations. - Xinran Fang, Wei Feng, Yanmin Wang, Yunfei Chen, Ning Ge:
NOMA-Based Hybrid Satellite-UAV-Terrestrial Networks for Beyond 5G Maritime Internet of Things. - Pierre Tassel, Martin Gebser, Konstantin Schekotihin:
A Reinforcement Learning Environment For Job-Shop Scheduling. - Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
PATHATTACK: Attacking Shortest Paths in Complex Networks. - Arka Sadhu, Kan Chen, Ram Nevatia:
Video Question Answering with Phrases via Semantic Roles. - Mubark Jedh, Lotfi Ben Othmane, Noor Ahmed, Bharat K. Bhargava:
Detection of Message Injection Attacks onto the CAN Bus using Similarity of Successive Messages-Sequence Graphs. - Christopher D. Clack:
Languages for Smart and Computable Contracts. - Yonghao Xu, Bo Du, Liangpei Zhang:
Robust Self-Ensembling Network for Hyperspectral Image Classification. - Huiling You, Xingran Zhu, Sara Stymne:
Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation. - José Luis Mancilla-Aguilar, Hernan Haimovich:
(Integral-)ISS of switched and time-varying impulsive systems based on global state weak linearization. - Ali Gharib, David Stenger, Robert Ritschel, Rick Voßwinkel:
Multi-Objective Optimization of a Path-following MPC for Vehicle Guidance: A Bayesian Optimization Approach. - Xuepeng Shi, Qi Ye, Xiaozhi Chen, Chuangrong Chen, Zhixiang Chen, Tae-Kyun Kim:
Geometry-based Distance Decomposition for Monocular 3D Object Detection. - Yang Liu, Alan Medlar, Dorota Glowacka:
Statistically significant detection of semantic shifts using contextual word embeddings. - Daoyu Li, Liheng Bian, Jun Zhang:
Affine-modeled video extraction from a single motion blurred image. - Chuong Huynh, Anh Tran, Khoa Luu
, Minh Hoai:
Progressive Semantic Segmentation. - Michael J. Klaiber, Axel J. Acosta, Ingo Feldner, Falk Rehm:
Enabling Cross-Domain Communication: How to Bridge the Gap between AI and HW Engineers. - Matteo Papini, Andrea Tirinzoni, Marcello Restelli, Alessandro Lazaric, Matteo Pirotta:
Leveraging Good Representations in Linear Contextual Bandits. - Björn Lindqvist, Pantelis Sopasakis, George Nikolakopoulos:
A Scalable Distributed Collision Avoidance Scheme for Multi-agent UAV systems. - Paula Chanfreut, Twan Keijzer, Riccardo M. G. Ferrari, Jose Maria Maestre:
A Topology-Switching Coalitional Control and Observation Scheme with Stability Guarantees. - Marc Satkowski
, Wolfgang Büschel, Raimund Dachselt:
Experiences with User Studies in Augmented Reality. - Bart Wingelaar, Gustavo R. Gonçalves da Silva, Mircea Lazar, Y. Chen, John T. B. A. Kessels:
Design and assessment of an eco-driving PMP algorithm for optimal deceleration and gear shifting in trucks. - Twan Keijzer, Riccardo M. G. Ferrari:
Detection of Network and Sensor Cyber-Attacks in Platoons of Cooperative Autonomous Vehicles: a Sliding-Mode Observer Approach. - Yuta Itoh, Takumi Kaminokado, Kaan Aksit:
Beaming Displays. - Twan Keijzer, Fabian Jarmolowitz, Riccardo M. G. Ferrari:
Detection of Cyber-Attacks in Collaborative Intersection Control. - Fares B. Mehouachi, Chaouki Kasmi:
Exact Stochastic Second Order Deep Learning. - Zahra Gharaee
, Karl Holmquist, Linbo He, Michael Felsberg:
A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control. - Vikram Shree, Beatriz A. Asfora, Rachel Zheng, Samantha Hong, Jacopo Banfi, Mark E. Campbell:
Exploiting Natural Language for Efficient Risk-Aware Multi-robot SaR Planning. - Jihyeon Ryu, Yifeng Zheng, Yansong Gao, Sharif Abuadbba, Junyaup Kim, Dongho Won, Surya Nepal, Hyoungshick Kim, Cong Wang:
Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things? - Jingbo Zhou, Xinmiao Zhang:
Algorithmic Obfuscation for LDPC Decoders. - Fengpeng Yue, Yan Deng, Lei He, Tom Ko:
Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation. - Boubakr Nour, Soumaya Cherkaoui:
A Network-based Compute Reuse Architecture for IoT Applications. - Justin D. Weisz, Michael J. Muller, Stephanie Houde, John T. Richards, Steven I. Ross, Fernando Martinez, Mayank Agarwal, Kartik Talamadupula:
Perfection Not Required? Human-AI Partnerships in Code Translation. - Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Robust Differentiable SVD. - Mívian M. Ferreira, Mariza Andrade da Silva Bigonha, Kecia A. M. Ferreira:
On The Gap Between Software Maintenance Theory and Practitioners' Approaches. - Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zachary Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Gregory S. Corrado, Umesh Telang, Yun Liu, A. Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens:
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions. - Jinu Gong, Osvaldo Simeone, Joonhyuk Kang:
Bayesian Variational Federated Learning and Unlearning in Decentralized Networks. - Madhav Mahesh Kashyap
, Anuj Tambwekar, Krishnamoorthy Manohara, S. Natarajan:
Speech Denoising without Clean Training Data: a Noise2Noise Approach. - Daniela Massiceti, Luisa M. Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf:
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition. - Samuel Thomas, Hong-Kwang Jeff Kuo, George Saon, Zoltán Tüske, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory:
RNN Transducer Models For Spoken Language Understanding. - Moab Arar, Ariel Shamir, Amit Bermano:
InAugment: Improving Classifiers via Internal Augmentation. - Wilson Fearn, Orion Weller, Kevin D. Seppi:
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification. - Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki:
CoCoNets: Continuous Contrastive 3D Scene Representations. - Hanlei Wang:
A Differential-Cascaded Approach for Adaptive Control of Robot Manipulators. - Viktor Varkarakis, Wang Yao
, Peter Corcoran:
Towards End-to-End Neural Face Authentication in the Wild - Quantifying and Compensating for Directional Lighting Effects. - Haoyang Ye, Huaiyang Huang, Marco Hutter, Timothy Sandy, Ming Liu:
3D Surfel Map-Aided Visual Relocalization with Learned Descriptors. - Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang:
Incentivizing Exploration in Linear Bandits under Information Gap. - Sébastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Rémi Tachet des Combes:
A single gradient step finds adversarial examples on random two-layers neural networks. - Bahar Aydemir, Deblina Bhattacharjee, Seungryong Kim, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
Modeling Object Dissimilarity for Deep Saliency Prediction. - Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger:
SMD-Nets: Stereo Mixture Density Networks. - Kubilay Ahmet Küçük
, Andrew Martin:
CRC: Fully General Model of Confidential Remote Computing. - Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing:
Probing BERT in Hyperbolic Spaces. - Tyler Cassidy, Peter Gillich, Antony R. Humphries, Christiaan H. van Dorp:
Numerical methods and hypoexponential approximations for gamma distributed delay differential equations. - Li Qiao, Jun Zhang, Zhen Gao, Derrick Wing Kwan Ng, Marco Di Renzo, Mohamed-Slim Alouini
:
Massive Access in Media Modulation Based Massive Machine-Type Communications. - Christopher Mitcheltree, Hideki Koike:
SerumRNN: Step by Step Audio VST Effect Programming. - Thinh Hung Truong, Mai Hoang Dao, Dat Quoc Nguyen:
COVID-19 Named Entity Recognition for Vietnamese. - George D. Montañez:
Permutation Encoding for Text Steganography: A Short Tutorial. - Lampros Gavalakis, Ioannis Kontoyiannis:
An Information-Theoretic Proof of a Finite de Finetti Theorem. - Marc Böhlen:
Classification, Slippage, Failure and Discovery. - Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme:
Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance. - Laura Petrich, Jun Jin, Masood Dehghan, Martin Jägersand:
A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics. - Mehrshad Zandigohar
, Mo Han, Mohammadreza Sharif, Sezen Yagmur Günay, Mariusz P. Furmanek, Mathew Yarossi, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Deniz Erdogmus, Gunar Schirner:
Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control. - Jean Gonzalez Silva, Bart M. Doekemeijer, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Active Power Control of Waked Wind Farms: Compensation of Turbine Saturation and Thrust Force Balance. - Islem Rekik, Mustafa Burak Gurbuz:
MGN-Net: a multi-view graph normalizer for integrating heterogeneous biological network populations. - Ereza Baftiu, Krenare Pireva Nuci:
The transformation process from in-campus classes into online classes due to the COVID-19 situation - the case of higher education institutions in Kosovo. - Spyridon Doukakis
:
A Management Approach of an E-Tutoring Program for High School Students. - Xianghao Xu, Wenzhe Peng, Chin-Yi Cheng, Karl D. D. Willis, Daniel Ritchie:
Inferring CAD Modeling Sequences Using Zone Graphs. - Yogesh N. Patil, Arvind W. Kiwelekar, Laxman D. Netak, Shankar B. Deosarkar:
A Decentralized and Autonomous Model to Administer University Examinations. - Thamar Solorio, Mahsa Shafaei, Christos Smailis, Brad J. Bushman, Douglas A. Gentile, Erica Scharrer, Laura Stockdale, Ioannis A. Kakadiaris:
White Paper - Objectionable Online Content: What is harmful, to whom, and why. - Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra:
Social Big Data: An Overview and Applications. - David Leslie, Morgan Briggs:
Explaining decisions made with AI: A workbook (Use case 1: AI-assisted recruitment tool). - Philippe Kirschen, Edward Burnell:
Hyperloop System Optimization. - David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld:
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. - Ahmet Kaya, Ömer Aydin:
E-Commerce in Turkey and SAP Integrated E-Commerce System. - Thomas W. Mitchel, Vladimir G. Kim, Michael Kazhdan:
Field Convolutions for Surface CNNs. - Simon James Brady:
Finding Experts in Social Media Data using a Hybrid Approach. - Guanghao Yin, Wei Wang, Zehuan Yuan, Dongdong Yu, Shouqian Sun, Changhu Wang:
Conditional Meta-Network for Blind Super-Resolution with Multiple Degradations. - Vinodkumar Prabhakaran, Marek Rei, Ekaterina Shutova:
How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection. - Bernhard Haeupler, David Wajc, Goran Zuzic:
Universally-Optimal Distributed Algorithms for Known Topologies. - Thanh-Dung Le, Rita Noumeir, Jerome Rambaud, Guillaume Sans, Philippe Jouvet:
Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives. - Mohammad Aaftab V, Mansi Sharma:
OGGN: A Novel Generalized Oracle Guided Generative Architecture for Modelling Inverse Function of Artificial Neural Networks. - Achkan Salehi, Alexandre Coninx, Stéphane Doncieux:
BR-NS: an Archive-less Approach to Novelty Search. - Flavia Bonomo-Braberman, Gastón Abel Brito:
Intersection models and forbidden pattern characterizations for 2-thin and proper 2-thin graphs. - Abhishek Kaushik, Gareth J. F. Jones:
A Conceptual Framework for Implicit Evaluation of Conversational Search Interfaces. - Annette Rios, Chantal Amrhein, Noëmi Aepli, Rico Sennrich:
On Biasing Transformer Attention Towards Monotonicity. - David Lindner, Rohin Shah, Pieter Abbeel, Anca D. Dragan:
Learning What To Do by Simulating the Past. - Chuanting Zhang
, Shuping Dang, Basem Shihada
, Mohamed-Slim Alouini
:
On Telecommunication Service Imbalance and Infrastructure Resource Deployment. - Niv Cohen, Yedid Hoshen:
The Single-Noun Prior for Image Clustering. - Xu Chen, Yufeng Zheng, Michael J. Black, Otmar Hilliges, Andreas Geiger:
SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes. - Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa:
De-rendering the World's Revolutionary Artefacts. - Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun:
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes. - Piyawat Lertvittayakumjorn, Leshem Choshen, Eyal Shnarch, Francesca Toni:
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns. - Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker:
Modulated Periodic Activations for Generalizable Local Functional Representations. - Colin Graber, Grace Tsai, Michael Firman, Gabriel J. Brostow, Alexander G. Schwing:
Panoptic Segmentation Forecasting. - Chieh Hubert Lin, Hsin-Ying Lee, Yen-Chi Cheng, Sergey Tulyakov, Ming-Hsuan Yang:
InfinityGAN: Towards Infinite-Resolution Image Synthesis. - Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Mubarak Shah:
Handwriting Transformers. - Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Learning optical flow from still images. - Thanh-Dung Le, Jerome Rambaud, Guillaume Sans, Philippe Jouvet, Rita Noumeir:
Detecting of a Patient's Condition From Clinical Narratives Using Natural Language Representation. - Andrei Burov, Matthias Nießner, Justus Thies:
Dynamic Surface Function Networks for Clothed Human Bodies. - Arjit Jain, Sunita Sarawagi, Prithviraj Sen:
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations. - Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, Samuli Laine:
Appearance-Driven Automatic 3D Model Simplification. - Cong Hao, Deming Chen:
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems. - Marcelo Orenes-Vera, Aninda Manocha, David Wentzlaff, Margaret Martonosi:
AutoSVA: Democratizing Formal Verification of RTL Module Interactions. - Pawel Wawrzynski, Jakub Lyskawa:
ACERAC: Efficient reinforcement learning in fine time discretization. - Mohammed Temraz, Eoin M. Kenny, Elodie Ruelle, Laurence Shalloo, Barry Smyth, Mark T. Keane:
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. - Mohamed R. Ibrahim, James Haworth, Nicola Christie:
Re-designing cities with conditional adversarial networks. - Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister:
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. - Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick, Rajat Mani Thomas, Deepak Kumar Gupta:
Improving Solar Cell Metallization Designs using Convolutional Neural Networks. - A. M. A. Alsnayyan, B. Shanker:
Laplace-Beltrami based Multi-Resolution Shape Reconstruction on Subdivision Surfaces. - Vida Adeli, Mahsa Ehsanpour, Ian D. Reid, Juan Carlos Niebles, Silvio Savarese, Ehsan Adeli, Hamid Rezatofighi:
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild. - Asmita Dalela, Saverio Giallorenzo, Oksana Kulyk, Jacopo Mauro, Elda Paja:
A Mixed-method Study on Security and Privacy Practices in Danish Companies. - Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang:
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge. - Nevena Jakovcevic Stor, Tim Mitchell, Zoran Tomljanovic, Matea Ugrica:
Fast optimization of viscosities for frequency-weighted damping of second-order systems. - Matias Selser, Javier Kreiner, Manuel Maurette:
Optimal Market Making by Reinforcement Learning. - Zhiyu Lin, Mark O. Riedl:
Plug-and-Blend: A Framework for Controllable Story Generation with Blended Control Codes. - Paul Beaujean, Florian Sikora, Florian Yger:
Scaling up graph homomorphism for classification via sampling. - Andrew M. McNutt:
What are Table Cartograms Good for Anyway? An Algebraic Analysis. - Jay P. Lim, Santosh Nagarakatte:
RLIBM-32: High Performance Correctly Rounded Math Libraries for 32-bit Floating Point Representations. - David Von Dollen, Florian Neukart, Daniel Weimer, Thomas Bäck:
Quantum-Assisted Feature Selection for Vehicle Price Prediction Modeling. - Mahsa Elyasi, Gaurav Bharaj:
Flavored Tacotron: Conditional Learning for Prosodic-linguistic Features. - Amit Seker, Elron Bandel, Dan Bareket, Idan Brusilovsky, Refael Shaked Greenfeld, Reut Tsarfaty:
AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With. - Abhijitt Dhavlle:
Adversarial Learning Inspired Emerging Side-Channel Attacks and Defenses. - David Ferman, Gaurav Bharaj:
Generative Landmarks. - Oguz Akbilgic, Eun Kyong Shin, Arash Shaban-Nejad:
A Data Science Approach to Analyze the Association of Socioeconomic and Environmental Conditions With Disparities in Pediatric Surgery. - Md. Mokhlesur Rahman, Kamal Chandra Paul, Md. Amjad Hossain, G. G. Md. Nawaz Ali, Md. Shahinoor Rahman, Jean-Claude Thill:
Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review. - Brice Ekane, Yohan Pipereau, Boris Teabe, Alain Tchana, Gaël Thomas, Noël De Palma, Daniel Hagimont:
Network in Disaggregated Datacenters. - Claudia Andruetto, Elisa Bin, Yusak Susilo, Anna Pernestål:
Transition from physical to online shopping alternatives due to the COVID-19 pandemic. - David Reynolds, Nicholas Dacre:
Interdisciplinary Research Methodologies in Engineering Education Research. - Vasilis Gkogkidis, Nicholas Dacre:
Co-Creating Educational Project Management Board Games to Enhance Student Engagement. - Manuel Traub, Robert Legenstein, Sebastian Otte:
Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks. - V. K. Ivanov, A. G. Glebova, I. V. Obrazthov:
Quantitative Assessment of Solution Innovation in Engineering Education. - Amirhossein Sajadi, Richard Wallace Kenyon, Bri-Mathias S. Hodge:
Inherent Synchronization in Electric Power Systems with High Levels of Inverter-based Generation. - Nicholas Dacre, Fredrik Kockum, P. K. Senyo:
Transient Information Adaptation of Artificial Intelligence: Towards Sustainable Data Processes in Complex Projects. - Caroline N. J. Tite, David Pontin, Nicholas Dacre:
Embedding Sustainability in Complex Projects: A Pedagogic Practice Simulation Approach. - Javier Torregrosa, Gema Bello Orgaz, Eugenio Martínez Cámara, Javier Del Ser, David Camacho:
A survey on extremism analysis using Natural Language Processing. - Rajkumar Buyya, Sukhpal Singh Gill, Satish Narayana Srirama, Rami Bahsoon:
A Strategy for Advancing Research and Impact in New Computing Paradigms. - Farrah Huntinghawk, Candace Richard, Sarah Plosker, Gautam Srivastava:
Expanding Cybersecurity Knowledge Through an Indigenous Lens: A First Look. - Soaad Hossain, Syed Ishtiaque Ahmed:
Towards a New Participatory Approach for Designing Artificial Intelligence and Data-Driven Technologies. - Shuai Chen, Zirui Wang
, Victor Prisacariu:
Direct-PoseNet: Absolute Pose Regression with Photometric Consistency. - Mary Sanford, Taha Yasseri
:
The Kaleidoscope of Privacy: Differences across French, German, UK, and US GDPR Media Discourse. - Rohit Saluja, Avleen Malhi, Samanta Knapic, Kary Främling, Cicek Cavdar:
Towards a Rigorous Evaluation of Explainability for Multivariate Time Series. - Ömer Aydin, Cem Ali Kandemir, Umut Kiraç, Feristah Dalkiliç:
An artificial intelligence and Internet of things based automated irrigation system. - Donald Gover, Filipo Sharevski:
Two Truths and a Lie: Exploring Soft Moderation of COVID-19 Misinformation with Amazon Alexa. - Yuhang Gai, Jiuming Guo, Dan Wu, Ken Chen:
Progressive extension of reinforcement learning action dimension for asymmetric assembly tasks. - Feifei Shi, Wenxi Wang, Hang Wang, Huansheng Ning:
The Internet of People: A Survey and Tutorial. - Marvin Lerousseau:
Design and implementation of an environment for Learning to Run a Power Network (L2RPN). - J. Kartheek Devineni, Harpreet S. Dhillon:
Manchester Encoding for Non-coherent Detection of Ambient Backscatter in Time-Selective Fading. - Nicolae-Teodor Pavel, Traian Rebedea:
A Sketch-Based Neural Model for Generating Commit Messages from Diffs. - Eric Engelhart, Mahsa Elyasi, Gaurav Bharaj:
Grapheme-to-Phoneme Transformer Model for Transfer Learning Dialects. - Sebastian Naranjo Alvarez, Vrushali A. Bokil, Vitaliy Gyrya, Gianmarco Manzini:
The virtual element method for the coupled system of magneto-hydrodynamics. - David Troxell, Miju Ahn, Harsha Gangammanavar:
A Cardinality Minimization Approach to Security-Constrained Economic Dispatch. - Michael J. Whittaker, Aleksey Charapko, Joseph M. Hellerstein, Heidi Howard, Ion Stoica:
Read-Write Quorum Systems Made Practical. - Zhiling Huang, Junwen Bu, Jie Chen:
Image-based Virtual Fitting Room. - Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura:
Risk-Aware Lane Selection on Highway with Dynamic Obstacles. - Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. - Eleftheria Briakou, Di Lu, Ke Zhang, Joel R. Tetreault:
XFORMAL: A Benchmark for Multilingual Formality Style Transfer. - Trevor Olsen, Nicholas M. Stiffler, Jason M. O'Kane:
Rapid Recovery from Robot Failures in Multi-Robot Visibility-Based Pursuit-Evasion. - Tianjian Meng, Xiaohan Chen, Yifan Jiang, Zhangyang Wang:
A Design Space Study for LISTA and Beyond. - Yang Gao, Tyler Vuong, Mahsa Elyasi, Gaurav Bharaj, Rita Singh:
Generalized Spoofing Detection Inspired from Audio Generation Artifacts. - Joel Ye, Dhruv Batra, Abhishek Das, Erik Wijmans:
Auxiliary Tasks and Exploration Enable ObjectNav. - Yi Xu, Qi Qian, Hao Li, Rong Jin:
A Theoretical Analysis of Learning with Noisily Labeled Data. - Shawn M. Jones, Valentina Neblitt-Jones, Michele C. Weigle, Martin Klein, Michael L. Nelson:
It's All About The Cards: Sharing on Social Media Probably Encouraged HTML Metadata Growth. - Tica Lin, Rishi Singh, Yalong Yang, Carolina Nobre, Johanna Beyer, Maurice A. Smith, Hanspeter Pfister:
Towards an Understanding of Situated AR Visualization for Basketball Free-Throw Training. - YeongHyeon Park, JoonSung Lee, Wonseok Park:
Self-Weighted Ensemble Method to Adjust the Influence of Individual Models based on Reliability. - Angel Yanguas-Gil
:
Fast, Smart Neuromorphic Sensors Based on Heterogeneous Networks and Mixed Encodings. - Michael Desmond, Zahra Ashktorab, Michelle Brachman, Kristina Brimijoin, Evelyn Duesterwald, Casey Dugan, Catherine Finegan-Dollak, Michael J. Muller, Narendra Nath Joshi, Qian Pan, Aabhas Sharma:
Increasing the Speed and Accuracy of Data LabelingThrough an AI Assisted Interface. - Erdal Kayacan, Erkan Kayacan, Herman Ramon, Okyay Kaynak, Wouter Saeys:
Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers. - Safiriyu Eludiora, Benjamin Ajibade
:
Design and Implementation of English To Yoruba Verb Phrase Machine Translation System. - Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh:
An Empirical Comparison of Instance Attribution Methods for NLP. - Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonanthan Beich, Jyotishman Pathak, Amit P. Sheth:
Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS. - Chunnan Wang, Bozhou Chen, Geng Li, Hongzhi Wang:
FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search. - Marc Serra-Peralta, Joan Serrà, Álvaro Corral:
Heaps' Law and Vocabulary Richness in the History of Classical Music Harmony. - Alfredo Carrillo, Luis Fernando Cantú, Alejandro Noriega:
Individual Explanations in Machine Learning Models: A Survey for Practitioners. - David Leslie, Christopher Burr, Mhairi Aitken, Josh Cowls, Michael A. Katell, Morgan Briggs:
Artificial intelligence, human rights, democracy, and the rule of law: a primer. - Alfredo Carrillo, Luis Fernando Cantu, Luis Tejerina, Alejandro Noriega:
Individual Explanations in Machine Learning Models: A Case Study on Poverty Estimation. - Xiaorui Liu, Juan Ospina, Ioannis Zografopoulos, Alonzo Russell, Charalambos Konstantinou:
Faster than Real-Time Simulation: Methods, Tools, and Applications. - Yousef Navidtehrani
, Covadonga Betegón, Emilio Martínez-Pañeda:
A unified Abaqus implementation of the phase field fracture method using only a user material subroutine. - Harel Yedidsion, Shani Alkoby, Peter Stone:
Sequential Online Chore Division for Autonomous Vehicle Convoy Formation. - Yongjie Zhu, Yinda Zhang, Si Li, Boxin Shi:
Spatially-Varying Outdoor Lighting Estimation from Intrinsics. - Ademola Okerinde, Lior Shamir, William H. Hsu, Tom Theis, Nasik Muhammad Nafi:
eGAN: Unsupervised approach to class imbalance using transfer learning. - Hanjun Li, Gaojie Wu, Wei-Shi Zheng:
Combined Depth Space based Architecture Search For Person Re-identification. - Chao Ren, Jingze Hou, Biao Pan:
3D Wireless Channel Modeling for Multi-layer Network on Chip. - Yuankai Qi, Zizheng Pan, Yicong Hong, Ming-Hsuan Yang, Anton van den Hengel, Qi Wu:
Know What and Know Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation. - Weihao Yuan, Yazhan Zhang, Bingkun Wu, Siyu Zhu, Ping Tan, Michael Yu Wang, Qifeng Chen:
Stereo Matching by Self-supervision of Multiscopic Vision. - David Howard, Jack O'Connor, James Brett, Gary W. Delaney:
Shape, Size, and Fabrication Effects in 3D Printed Granular Jamming Grippers. - Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang:
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. - Meiyue Shao
:
Householder orthogonalization with a non-standard inner product. - Wanchun Liu, Daniel E. Quevedo, Karl Henrik Johansson, Branka Vucetic, Yonghui Li:
Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels. - Santiago Castro, Ruoyao Wang, Pingxuan Huang, Ian Stewart, Nan Liu, Jonathan C. Stroud, Rada Mihalcea:
Fill-in-the-blank as a Challenging Video Understanding Evaluation Framework. - Firoj Alam, Tanvirul Alam, Ferda Ofli, Muhammad Imran:
Social Media Images Classification Models for Real-time Disaster Response. - Jessica Yung, Rob Romijnders, Alexander Kolesnikov, Lucas Beyer, Josip Djolonga, Neil Houlsby, Sylvain Gelly, Mario Lucic, Xiaohua Zhai:
SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size. - Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson:
Reinforced Attention for Few-Shot Learning and Beyond. - Xinmei Huang, Qin Yue, Yansheng Wu, Xiaoping Shi:
Ternary primitive LCD BCH codes. - Sihem Amer-Yahia, Georgia Koutrika, Frederic B. Bastian, Theofilos Belmpas, Martin Braschler, Ursin Brunner, Diego Calvanese, Maximilian Fabricius, Orest Gkini, Catherine Kosten, Davide Lanti, Antonis Litke, Hendrik Lücke-Tieke, Francesco Alessandro Massucci, Tarcisio Mendes de Farias, Alessandro Mosca, Francesco Multari, Nikolaos Papadakis, Dimitris Papadopoulos, Yogendra Patil, Aurélien Personnaz, Guillem Rull, Ana Claudia Sima, Ellery Smith, Dimitrios Skoutas, Srividya Subramanian, Guohui Xiao, Kurt Stockinger:
INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]. - Zhongju Wang, Long Wang, Chao Huang, Xiong Luo:
BERT-based Chinese Text Classification for Emergency Domain with a Novel Loss Function. - Felix H. Kong
, Kwun Yiu Cadmus To, Gary Brassington
, Stuart Anstee, Robert Fitch
:
3D Ensemble-Based Online Oceanic Flow Field Estimation for Underwater Glider Path Planning. - Mehmet Emin Akdogan, Sara Ahmed:
Energy Storage System (ESS) for Compensating Unbalanced Multi-microgrids Using Modified Reverse Droop Control. - Mehmet Emin Akdogan, Sara Ahmed:
Improving Power Quality and Power Sharing in Unbalanced Multi-Microgrids Using Energy Storage System. - Kyosuke Tashiro, Koji Takeda, Kanji Tanaka, Hiroki Tomoe:
TaylorMade VDD: Domain-adaptive Visual Defect Detector for High-mix Low-volume Production of Non-convex Cylindrical Metal Objects. - Jim Buchan, Muneera Bano, Didar Zowghi, Stephen G. MacDonell, Amrita Shinde:
Alignment of Stakeholder Expectations about User Involvement in Agile Software Development. - Sin Yong Tan, Homagni Saha, Margarite Jacoby, Gregor Henze, Soumik Sarkar:
Granger Causality Based Hierarchical Time Series Clustering for State Estimation. - Woong-Hee Lee, Ki Won Sung:
Sparse Channel Estimation in Wideband Systems with Geometric Sequence Decomposition. - Kai Stapel, Eric Knauss, Kurt Schneider, Nico Zazworka:
FLOW Mapping: Planning and Managing Communication in Distributed Teams. - Zafer Esen, Philipp Rümmer:
A Theory of Heap for Constrained Horn Clauses (Extended Technical Report). - Sanjana Dey, Ramesh K. Jallu, Subhas C. Nandy:
On the minimum spanning tree problem in imprecise set-up. - Sajjad Asefi, Yash Madhwal, Yury Yanovich, Elena N. Gryazina:
Application of blockchain for secure data transmission in distributed state estimation. - Sangli Teng, Mark Wilfried Mueller, Koushil Sreenath:
Legged Robot State Estimation in Slippery Environments Using Invariant Extended Kalman Filter with Velocity Update. - MaungMaung AprilPyone, Hitoshi Kiya:
Piracy-Resistant DNN Watermarking by Block-Wise Image Transformation with Secret Key. - J. Neeraja, Vivek Gupta, Vivek Srikumar:
Incorporating External Knowledge to Enhance Tabular Reasoning. - Edo Jelavic, Farbod Farshidian, Marco Hutter:
Combined Sampling and Optimization Based Planning for Legged-Wheeled Robots. - Yichao Liu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Periodic Load Rejection for Floating Offshore Wind Turbines via Constrained Subspace Predictive Repetitive Control. - Aymeric Vié:
Population network structure impacts genetic algorithm optimisation performance. - Hichem Sahbi:
Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks. - Tim Pearce, Jun Zhu:
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning. - Xiquan Guan, Huamin Feng, Weiming Zhang, Hang Zhou, Jie Zhang, Nenghai Yu:
Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication. - Léni K. Le Goff, Edgar Buchanan, Emma Hart, Ágoston E. Eiben, Wei Li, Matteo De Carlo, Alan F. T. Winfield, Matthew F. Hale, Robert Woolley, Mike Angus, Jon Timmis, Andy M. Tyrrell:
Morpho-evolution with learning using a controller archive as an inheritance mechanism. - Cheol-Hui Min, Jinseok Bae, Junho Lee, Young Min Kim:
GATSBI: Generative Agent-centric Spatio-temporal Object Interaction. - Tristan Cazenave:
Batch Monte Carlo Tree Search. - Salome Maro, Jan-Philipp Steghöfer, Eric Knauss, Jennifer Horkoff, Rashidah Kasauli, Rebekka Wohlrab, Jesper Lysemose Korsgaard, Florian Wartenberg, Niels Jørgen Strøm, Ruben Alexandersson:
Managing Traceability Information Models: Not such a simple task after all? - Aoming Liu, Zehao Huang, Zhiwu Huang, Naiyan Wang:
Direct Differentiable Augmentation Search. - David Fuenmayor:
Topological semantics for paraconsistent and paracomplete logics in Isabelle/HOL. - Ryuji Imamura, Kohei Azuma, Atsushi Hanamoto, Atsunori Kanemura:
MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection. - Heng Fang, Xi Yang, Taichi Kin, Takeo Igarashi:
Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps. - Krzysztof Pietrzak, Iosif Salem, Stefan Schmid, Michelle Yeo:
LightPIR: Privacy-Preserving Route Discovery for Payment Channel Networks. - Alexander Brenning:
Transforming Feature Space to Interpret Machine Learning Models. - Chathura Sarathchandra, Kay Haensge, Sebastian Robitzsch, Mona Ghassemian, Ulises Olvera-Hernandez:
Enabling Bi-directional Haptic Control in Next Generation Communication Systems: Research, Standards, and Vision. - Ruochen Tai, Liyong Lin, Yuting Zhu, Rong Su:
Privacy-Preserving Supervisory Control of Discrete-Event Systems via Co-Synthesis of Edit Function and Supervisor for Opacity Enforcement and Requirement Satisfaction. - Tanya Goyal, Greg Durrett:
Annotating and Modeling Fine-grained Factuality in Summarization. - Michail Tarasiou, Riza Alp Güler, Stefanos Zafeiriou:
Context-self contrastive pretraining for crop type semantic segmentation. - Hendrik Heuer
:
Helping People Deal With Disinformation - A Socio-Technical Perspective. - Miika Hannula, Minna Hirvonen, Juha Kontinen:
On elementary logics for quantitative dependencies. - Zhelun Shen, Yuchao Dai, Zhibo Rao:
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching. - Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao:
Noisy-Labeled NER with Confidence Estimation. - Sajjad Asefi, Elena N. Gryazina, Helder Leite:
Optimal partitioning in distributed state estimation considering a modified convergence criterion. - Jonas Dippel, Steffen Vogler, Johannes Höhne:
Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling. - Yueyue Na, Ziteng Wang, Zhang Liu, Biao Tian, Qiang Fu:
Joint Online Multichannel Acoustic Echo Cancellation, Speech Dereverberation and Source Separation. - Hiske Overweg, Herman N. C. Berghuijs, Ioannis N. Athanasiadis:
CropGym: a Reinforcement Learning Environment for Crop Management. - Li Hu, Peng Zhang, Bang Zhang, Pan Pan, Yinghui Xu, Rong Jin:
Learning Position and Target Consistency for Memory-based Video Object Segmentation. - Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang:
The Burden of Being a Bridge: Understanding the Role of Multilingual Users during the COVID-19 Pandemic. - Mingming Shi, Shuai Feng, Hideaki Ishii:
Quantized State Feedback Stabilization of Nonlinear Systems under Denial-of-Service. - Felipe Almeida, Levent Aksoy, Jaan Raik, Samuel Pagliarini:
Side-Channel Attacks on Triple Modular Redundancy Schemes. - Shi Jin, Lei Li:
Random Batch Methods for classical and quantum interacting particle systems and statistical samplings. - Pablo Budde gen. Dohmann, Armin Lederer, Marcel Dißemond, Sandra Hirche:
Distributed Bayesian Online Learning for Cooperative Manipulation. - Joshua Mitton, Hans M. Senn, Klaas Wynne, Roderick Murray-Smith:
A Graph VAE and Graph Transformer Approach to Generating Molecular Graphs. - Hua Shen, Matteo Parsani
:
A class of high-order weighted compact central schemes for solving hyperbolic conservation laws. - Boris Ruf, Marcin Detyniecki:
Implementing Fair Regression In The Real World. - David A. Noever, Samantha E. Miller Noever:
Rock Hunting With Martian Machine Vision. - Xing Di, Vishal M. Patel:
Multimodal Face Synthesis from Visual Attributes. - Songyang Zhang, Linfeng Song, Lifeng Jin, Kun Xu, Dong Yu, Jiebo Luo:
Video-aided Unsupervised Grammar Induction. - Babak Naderi, Sebastian Möller, Ross Cutler:
Speech Quality Assessment in Crowdsourcing: Comparison Category Rating Method. - Shweta Narkar, Yunfeng Zhang, Q. Vera Liao, Dakuo Wang, Justin D. Weisz:
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML. - Prithwish Chakraborty, James V. Codella, Piyush Madan, Ying Li, Hu Huang
, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed F. Ghalwash, Zach Shahn, Parthasarathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Y. Yuen-Reed, Kenney Ng, Daby Sow, Bradley A. Malin:
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. - Márcia Ferreira, Juan Pablo Bascur, Rodrigo Costas
:
Scholars mobility and its impact on the knowledge producers' workforce of European regions. - Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian:
CondenseNet V2: Sparse Feature Reactivation for Deep Networks. - Nasif Imtiaz, Laurie A. Williams:
Memory Error Detection in Security Testing. - Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao:
Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding. - Igor Peterlík, Mert Sedef, Cagatay Basdogan, Ludek Matyska:
Real-time visio-haptic interaction with static soft tissue model shaving geometric and material nonlinearity. - Jukka Ruohonen
:
A Few Observations About State-Centric Online Propaganda. - Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Flow-based Autoregressive Structured Prediction of Human Motion. - Amirhossein Rajabi, Carsten Witt:
Stagnation Detection in Highly Multimodal Fitness Landscapes. - Francesco Moramarco, Alex Papadopoulos-Korfiatis, Aleksandar Savkov, Ehud Reiter:
A preliminary study on evaluating Consultation Notes with Post-Editing. - Zhou Zhai, Bin Gu, Heng Huang:
Learning Sampling Policy for Faster Derivative Free Optimization. - Yang Song, Yu Gu, Rui Zhang, Ge Yu:
ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index. - Francesco Moramarco, Damir Juric, Aleksandar Savkov, Ehud Reiter:
Towards objectively evaluating the quality of generated medical summaries. - Matthew Sotoudeh, Aditya V. Thakur:
Provable Repair of Deep Neural Networks. - Steve Schmidt, Denley Lam, Patrick Hayden:
Automatic Knowledge Extraction with Human Interface. - Yuwen Li:
Some Observations on A Posteriori Error Estimation for Maxwell Equations. - Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Markus Bach, Stefan Milz, Tim Fingscheidt, Patrick Mäder:
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. - Ammar Fayad, Majd Ibrahim:
Behavior-Guided Actor-Critic: Improving Exploration via Learning Policy Behavior Representation for Deep Reinforcement Learning. - Utku Norman, Tanvi Dinkar, Barbara Bruno, Chloé Clavel:
Studying Alignment in Spontaneous Speech via Automatic Methods: How Do Children Use Task-specific Referents to Succeed in a Collaborative Learning Activity? - Pascal Bohleber, Marco Roman, Carlo Barbante, Sebastiano Vascon, Kaleem Siddiqi, Marcello Pelillo:
Ice Core Science Meets Computer Vision: Challenges and Perspectives. - Jinlan Fu, Liangjing Feng, Qi Zhang, Xuanjing Huang, Pengfei Liu:
Larger-Context Tagging: When and Why Does It Work? - Minesh Mathew, Mohit Jain, C. V. Jawahar:
Benchmarking Scene Text Recognition in Devanagari, Telugu and Malayalam. - Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang:
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline. - Ramyad Hadidi, Jiashen Cao, Hyesoon Kim:
Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems. - David Stutz
, Matthias Hein, Bernt Schiele:
Relating Adversarially Robust Generalization to Flat Minima. - Hanaa Abumarshoud, Lina S. Mohjazi, Sami Muhaidat:
Amplitude, Phase, and Quadrant (APQ) Modulation for Indoor Visible Light Communications. - Shivam Khare, Kun Cao, James M. Rehg:
Unsupervised Class-Incremental Learning Through Confusion. - Theron Guo, Ondrej Rokos, Karen Veroy:
Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method. - Yurii Kostyukov, Dmitry Mordvinov, Grigory Fedyukovich:
Beyond the Elementary Representations of Program Invariants over Algebraic Data Types. - Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison:
Bootstrapping Semantic Segmentation with Regional Contrast. - Weizhe Lin, Bo-Hsiang Tseng, Bill Byrne:
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking. - Ruo Li, Wei Zhong:
A new mapped WENO scheme using order-preserving mapping. - Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk:
Did they answer? Subjective acts and intents in conversational discourse. - Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia:
Efficient Large-Scale Language Model Training on GPU Clusters. - Chavit Denninnart, Mohsen Amini Salehi:
Harnessing the Potential of Function-Reuse in Multimedia Cloud Systems. - Xueyuan Wang, Mustafa Cenk Gursoy, Tugba Erpek, Yalin E. Sagduyu:
Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning. - Glencora Borradaile, Kelsy Kretschmer, Michele Gretes, Alexandria LeClerc:
The Motivated Can Encrypt (Even with PGP). - Carlos Bendicho:
Techno-Economic Assessment Models for 5G. - Zekun Sun, Yujie Han, Zeyu Hua, Na Ruan, Weijia Jia:
Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Features. - Samuel Tesfazgi, Armin Lederer, Sandra Hirche:
Inverse Reinforcement Learning a Control Lyapunov Approach. - Reza Sepasdar
, Anuj Karpatne, Maryam Shakiba:
A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning. - Pieter H. Hartel, Rolf van Wegberg, Mark van Staalduinen:
Investigating sentence severity with judicial open data - A case study on sentencing high-tech crime in the Dutch criminal justice system. - Rodrigo Cabrera, Xiaofeng Liu, Mohammadreza Ghodsi, Zebulun Matteson, Eugene Weinstein, Anjuli Kannan:
Language model fusion for streaming end to end speech recognition. - Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, R. Chulaka Gunasekara, Sachindra Joshi, Yangfeng Ji:
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks. - Chih-Wei Huang, Yen-Cheng Chou, Hong-Yunn Chen, Cheng-Fu Chou:
Joint QoS-Aware Scheduling and Precoding for Massive MIMO Systems via Deep Reinforcement Learning. - Dimitra Koumoutsou, Eleni Charou, Georgios Siolas, Giorgos Stamou:
Class-Wise Principal Component Analysis for hyperspectral image feature extraction. - Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton, Paolo Bolzoni:
Chinese Character Decomposition for Neural MT with Multi-Word Expressions. - Abhishek Kaushik, Gareth J. F. Jones:
Exploring Current User Web Search Behaviours in Analysis Tasks to be Supported in Conversational Search. - Basileal Imana, Aleksandra Korolova, John S. Heidemann:
Auditing for Discrimination in Algorithms Delivering Job Ads. - Konstantinos Kallas, Filip Niksic, Caleb Stanford, Rajeev Alur:
Stream Processing With Dependency-Guided Synchronization. - Xi Ye, Rohan Nair, Greg Durrett:
Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals. - Vaibhav Bhat, Anita Yadav, Sonal Yadav, Dhivya Chandrasekaran, Vijay Mago:
AdCOFE: Advanced Contextual Feature Extraction in Conversations for emotion classification. - Yuzhe Lu, Kairong Jiang, Joshua A. Levine, Matthew Berger:
Compressive Neural Representations of Volumetric Scalar Fields. - Shunji Umetani, Shohei Murakami:
Coordinate descent heuristics for the irregular strip packing problem of rasterized shapes. - Jiyang Chen, Tomasz Kloda, Ayoosh Bansal, Rohan Tabish, Chien-Ying Chen, Bo Liu, Sibin Mohan, Marco Caccamo, Lui Sha:
SchedGuard: Protecting against Schedule Leaks Using Linux Containers. - Dejan Azinovic, Ricardo Martin-Brualla, Dan B. Goldman, Matthias Nießner, Justus Thies:
Neural RGB-D Surface Reconstruction. - Garrett A. Stevenson, Derek Jones, Hyojin Kim, W. F. Drew Bennett, Brian J. Bennion, Monica Borucki, Feliza Bourguet, Aidan Epstein, Magdalena Franco, Brooke Harmon, Stewart He, Max P. Katz, Daniel A. Kirshner, Victoria Lao, Edmond Y. Lau, Jacky Lo, Kevin McLoughlin, Richard Mosesso, Deepa K. Murugesh, Oscar A. Negrete, Edwin A. Saada
, Brent Segelke, Maxwell Stefan, Marisa W. Torres, Dina Weilhammer, Sergio Ernesto Wong, Yue Yang, Adam T. Zemla, Xiaohua Zhang, Fangqiang Zhu, Felice C. Lightstone, Jonathan E. Allen:
High-Throughput Virtual Screening of Small Molecule Inhibitors for SARS-CoV-2 Protein Targets with Deep Fusion Models. - Andrei-Marius Avram, George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 8: Extracting Semantic Information on Measurements as Multi-Turn Question Answering. - W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman:
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. - Mustafizur Rahman, Liang Zhou, Shantanu Chakrabartty:
Secret Key Distribution Protocols Based on Self-Powered Timekeeping Devices. - Enrique Vidal, Alejandro H. Toselli, Joan Puigcerver:
A Probabilistic Framework for Lexicon-based Keyword Spotting in Handwritten Text Images. - Ramyad Hadidi, Nima Shoghi Ghaleshahi, Bahar Asgari, Hyesoon Kim:
Context-Aware Task Handling in Resource-Constrained Robots with Virtualization. - Jamie Tucker-Foltz:
Inapproximability of Unique Games in Fixed-Point Logic with Counting. - Nathaniel Diamant, Erik Reinertsen, Steven Song, Aaron D. Aguirre, Collin M. Stultz, Puneet Batra:
Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling. - Daniel Candeloro Cunha, Breno Vincenzo de Almeida, Heitor Nigro Lopes, Renato Pavanello:
Finite Variation Sensitivity Analysis for Discrete Topology Optimization of Continuum Structures. - Le Xia, Yao Sun, Rafiq Swash, Lina S. Mohjazi, Lei Zhang, Muhammad Ali Imran:
Smart and Secure CAV Networks Empowered by AI-Enabled Blockchain: Next Frontier for Intelligent Safe-Driving Assessment. - Max Sponner, Bernd Waschneck, Akash Kumar:
Compiler Toolchains for Deep Learning Workloads on Embedded Platforms. - Jian Wu, Rajal Nivargi, Sree Sai Teja Lanka, Arjun Manoj Menon, Sai Ajay Modukuri, Nishanth Nakshatri, Xin Wei, Zhuoer Wang, James Caverlee, Sarah Michele Rajtmajer, C. Lee Giles:
Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models. - Md. Mahinur Rashid, Hasin Kawsar Jahan, Annysha Huzzat, Riyasaat Ahmed Rahul, Tamim Bin Zakir, Farhana Meem, Md. Saddam Hossain Mukta, Swakkhar Shatabda:
Text2Chart: A Multi-Staged Chart Generator from Natural Language Text. - Robert Graczyk, Igal Sason:
On Two-Stage Guessing. - Pablo Barenbaum, Teodoro Freund:
A Constructive Logic with Classical Proofs and Refutations (Extended Version). - Elwin van't Wout
, Seyyed R. Haqshenas, Pierre Gélat, Timo Betcke, Nader Saffari:
Benchmarking preconditioned boundary integral formulations for acoustics. - Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum:
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. - Jatin Lamba, Abhishek Sharma, Jayaprakash Akula, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan:
Cross-Modal learning for Audio-Visual Video Parsing. - Jiongchao Jin, Arezou Fatemi, Wallace P. Lira, Fenggen Yu, Biao Leng, Rui Ma, Ali Mahdavi-Amiri, Hao (Richard) Zhang:
RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes. - Elwin van't Wout
, Seyyed R. Haqshenas, Pierre Gélat, Timo Betcke, Nader Saffari:
Frequency-robust preconditioning of boundary integral equations for acoustic transmission. - Samuel Benton
, Mengshi Zhang, Xia Li, Lingming Zhang:
Self-Boosted Automated Program Repair. - Marcel Campen, Ryan Capouellez, Hanxiao Shen, Leyi Zhu, Daniele Panozzo, Denis Zorin:
Efficient and Robust Discrete Conformal Equivalence with Boundary. - Juncheng Wang, Min Dong, Ben Liang, Gary Boudreau, Hatem Abou-zeid:
Distributed coordinated precoding for MIMO cellular network virtualization. - Milijana Surbatovich, Limin Jia
, Brandon Lucia:
Automatically Enforcing Fresh and Consistent Inputs in Intermittent Systems. - Sergii Kivva:
Flux correction for nonconservative convection-diffusion equation. - Elwin van't Wout
, Seyyed R. Haqshenas, Pierre Gélat, Timo Betcke, Nader Saffari:
Boundary integral formulations for acoustic modelling of high-contrast media. - Andrea Bonfante, Lorenzo Galati-Giordano, Irene Macaluso, Nicola Marchetti:
Performance of Predictive Indoor mmWave Networks with Dynamic Blockers. - Tharindu Ranasinghe, Diptanu Sarkar, Marcos Zampieri, Alexander G. Ororbia II:
WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans. - Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S. Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox:
DexYCB: A Benchmark for Capturing Hand Grasping of Objects. - Hansi Hettiarachchi, Tharindu Ranasinghe:
TransWiC at SemEval-2021 Task 2: Transformer-based Multilingual and Cross-lingual Word-in-Context Disambiguation. - Lu Cheng, Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ioana Baldini:
Automated Meta-Analysis: A Causal Learning Perspective. - Abdelhaliem Babiker:
A Novel Provably Secure Key Agreement Protocol Based On Binary Matrices. - Shugao Ma, Tomas Simon, Jason M. Saragih, Dawei Wang, Yuecheng Li, Fernando De la Torre, Yaser Sheikh:
Pixel Codec Avatars. - Shiyu Tan, Yicheng Wu, Shoou-I Yu, Ashok Veeraraghavan:
CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo. - Yuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots:
Fast and Efficient Locomotion via Learned Gait Transitions. - Line M. P. Larsen
, Frank Slyne, Ghizlane Mountaser, Marco Ruffini, Toktam Mahmoodi:
Experimental Demonstration of RAN Functional Split over virtual PON Transport Network. - Brandon G. Jacques, Zoran Tiganj, Marc W. Howard, Per B. Sederberg:
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales. - Sergio González Andrade, Paul E. Méndez:
A Dual-Mixed Approximation for a Huber Regularization of the Herschel-Bulkey Flow Problem. - Velma Jones, Kendra Keyse, Alfredo Melgoza, Karen Perez, Tammy Qamar, Jason Villalpando, Jongwook Woo:
Avocado Buying Trends in the United States Using SAC. - Deval Mehta, Umar Asif, Tian Hao, Erhan Bilal, Stefan von Cavallar, Stefan Harrer, Jeffrey L. Rogers:
Towards Automated and Marker-less Parkinson Disease Assessment: Predicting UPDRS Scores using Sit-stand videos. - Franciane F. Rocha
, Fabricio S. Sousa, Roberto F. Ausas, Gustavo C. Buscaglia, Felipe Pereira:
A multiscale Robin-coupled implicit method for two-phase flows in high-contrast formations. - Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden:
Regression Networks For Calculating Englacial Layer Thickness. - Mark Sandler, Max Vladymyrov, Andrey Zhmoginov, Nolan Miller, Andrew Jackson, Tom Madams, Blaise Agüera y Arcas:
Meta-Learning Bidirectional Update Rules. - Sipu Ruan, Karen L. Poblete, Hongtao Wu, Qianli Ma, Gregory S. Chirikjian:
Efficient Path Planning in Narrow Passages via Closed-Form Minkowski Operations. - Jie Song
, Yeye He:
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes. - Ping Zhang, Zhenxiang Tao, Wenjie Yang, Minze Chen, Shan Ding, Xiaodong Liu, Rui Yang, Hui Zhang:
Unveiling personnel movement in a larger indoor area with a non-overlapping multi-camera system. - Bin Deng, Yabin Zhang, Hui Tang, Changxing Ding, Kui Jia:
On Universal Black-Box Domain Adaptation. - Reo Yoneyama, Yi-Chiao Wu, Tomoki Toda:
Unified Source-Filter GAN: Unified Source-filter Network Based On Factorization of Quasi-Periodic Parallel WaveGAN. - Siwei Dong, Tiejun Huang, Yonghong Tian:
Spike Camera and Its Coding Methods. - Ruiqi Zhong, Kristy Lee, Zheng Zhang, Dan Klein:
Meta-tuning Language Models to Answer Prompts Better. - Edward L. Amoruso, Stephen P. Johnson, Raghu Nandan Avula, Cliff C. Zou:
A Web Infrastructure for Certifying Multimedia News Content for Fake News Defense. - Marco Kuhrmann, Philipp Diebold, Stephen G. MacDonell, Jürgen Münch:
2nd Workshop on Hybrid Development Approaches in Software Systems Development. - Xutan Peng, Guanyi Chen, Chenghua Lin, Mark Stevenson:
Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis. - Mansi Sharma, Santosh Kumar:
A Flexible Lossy Depth Video Coding Scheme Based on Low-rank Tensor Modelling and HEVC Intra Prediction for Free Viewpoint Video. - Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada:
Approximate Bayesian Computation of Bézier Simplices. - Shamik Bhattacharyya, Kiran Rokade, Rachel Kalpana Kalaimani:
Distributed Resilient Estimation over Directed Graphs. - Liyu Su:
Hierarchical Prior Regularized Matrix Factorization for Image Completion. - Md. Imran Hossen, Xiali Hei:
A Low-Cost Attack against the hCaptcha System. - Andreea Danielescu, David Piorkowski:
Iterative Design of Gestures during Elicitation: A Gateway into User's Mental Models. - Yueh-Cheng Liu, Yu-Kai Huang, HungYueh Chiang, Hung-Ting Su, Zhe Yu Liu, Chin-Tang Chen, Ching-Yu Tseng, Winston H. Hsu:
Learning from 2D: Pixel-to-Point Knowledge Transfer for 3D Pretraining. - Zhi Chen, Lu Chen, Yanbin Zhao, Ruisheng Cao, Zihan Xu, Su Zhu, Kai Yu:
ShadowGNN: Graph Projection Neural Network for Text-to-SQL Parser. - George C. Alexandropoulos, Nir Shlezinger, Idban Alamzadeh, Mohammadreza F. Imani, Haiyang Zhang, Yonina C. Eldar:
Hybrid Reconfigurable Intelligent Metasurfaces: Enabling Simultaneous Tunable Reflections and Sensing for 6G Wireless Communications. - Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran:
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation. - Hongqiu Wu, Hai Zhao, Min Zhang:
Not All Attention Is All You Need. - Ou Deng, Kiichi Tago, Qun Jin:
An Extended Epidemic Model on Interconnected Networks for COVID-19 to Explore the Epidemic Dynamics. - Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto:
MPTP: Motion-Planning-aware Task Planning for Navigation in Belief Space. - Chih-Yao Chen, Cheng-Te Li:
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning. - Fan Yu, Haoneng Luo, Pengcheng Guo, Yuhao Liang, Zhuoyuan Yao, Lei Xie, Yingying Gao, Leijing Hou, Shilei Zhang:
Boundary and Context Aware Training for CIF-based Non-Autoregressive End-to-end ASR. - Amir M. Mir, Evaldas Latoskinas, Georgios Gousios:
ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type Inference. - Zhengqiang Ge, Zhipeng Zhou, Dong Guo, Qiang Li:
Practical Two-party Privacy-preserving Neural Network Based on Secret Sharing. - Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli:
Pyramidal Reservoir Graph Neural Network. - Jan Krajícek:
Information in propositional proofs and algorithmic proof search. - Pascal Mettes, William Thong, Cees G. M. Snoek:
Object Priors for Classifying and Localizing Unseen Actions. - Tsong Yueh Chen, Pak-Lok Poon, Kun Qiu, Zheng Zheng, Jinyi Zhou:
Use of Metamorphic Relations as Knowledge Carriers to Train Deep Neural Networks. - Mickael Cormier, Houraalsadat Mortazavi Moshkenan, Franz Lörch, Jürgen Metzler, Jürgen Beyerer:
Do as we do: Multiple Person Video-To-Video Transfer. - Petr Hurtík, Marek Vajgl:
Coastline extraction from ALOS-2 satellite SAR images. - Bojun Ouyang, Dan Raviv:
Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds. - Julian Martin Eisenschlos, Bhuwan Dhingra, Jannis Bulian, Benjamin Börschinger, Jordan L. Boyd-Graber:
Fool Me Twice: Entailment from Wikipedia Gamification. - Mansi Sharma, Aditya Wadaskar:
A Novel Unified Model for Multi-exposure Stereo Coding Based on Low Rank Tucker-ALS and 3D-HEVC. - Qiuqiang Lin, Chuanhou Gao:
Discovering Categorical Main and Interaction Effects Based on Association Rule Mining. - Dennis Rieber, Axel Acosta, Holger Fröning:
The Programming of Deep Learning Accelerators as a Constraint Satisfaction Problem. - Nadeem Yousaf, Sarfaraz Hussein, Waqas Sultani:
Estimation of BMI from Facial Images using Semantic Segmentation based Region-Aware Pooling. - Anna Langedijk, Verna Dankers, Phillip Lippe, Sander Bos, Bryan Cardenas Guevara, Helen Yannakoudakis, Ekaterina Shutova:
Meta-learning for fast cross-lingual adaptation in dependency parsing. - Mikhail Kotyushev, Anna V. Glazkova, Dmitry Morozov:
MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection. - Nick Brown:
Application specific dataflow machine construction for programming FPGAs via Lucent. - Mohammad Asif Habibi, Bin Han, Faqir Zarrar Yousaf, Hans D. Schotten:
How Should Network Slice Instances be Provided to Multiple Use Cases of a Single Vertical Industry? - Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng:
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management. - Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann:
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance. - Akram Heidarizadeh:
Preprocessing Methods of Lane Detection and Tracking for Autonomous Driving. - Ting Cai, Vincent Y. F. Tan, Cédric Févotte:
Adversarially-Trained Nonnegative Matrix Factorization. - Dominik D. Freydenberger, Sam M. Thompson
:
Splitting Spanner Atoms: A Tool for Acyclic Core Spanners. - Varun Gohil, Sumit Walia, Joycee Mekie, Manu Awasthi:
Fixed-Posit: A Floating-Point Representation for Error-Resilient Applications. - Sergei Belousov:
MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis. - Alexandre Chenu, Nicolas Perrin-Gilbert, Stéphane Doncieux, Olivier Sigaud:
Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms. - Alireza Salemi, Nazanin Sabri
, Emad Kebriaei, Behnam Bahrak, Azadeh Shakery:
UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models. - Alberto Gómez:
MIPROT: A Medical Image Processing Toolbox for MATLAB. - Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahsambi, Mehrnaz Amjadi, Deokwoo Jung, Ricky Si, Charanraj Thimmisetty, Claudionor José Nunes Coelho Jr.:
Boosted Embeddings for Time Series Forecasting. - Tianfei Zhou, Jianwu Li, Xueyi Li, Ling Shao:
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation. - Javad Peymanfard, Mohammad Reza Mohammadi, Hossein Zeinali, Nasser Mozayani:
Lip reading using external viseme decoding. - Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz Rodríguez, Océane Boulais, Aruna Sankaranarayanan, Aaron Piña, Yarin Gal, Chedy Raïssi, Alexander Lavin, Dava Newman:
Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization. - Baris Coskunuzer, Cuneyt Gurcan Akcora, Ignacio Segovia-Dominguez, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel:
Smart Vectorizations for Single and Multiparameter Persistence. - Clym Stock-Williams, Tinkle Chugh, Alma A. M. Rahat, Wei Yu:
What Makes an Effective Scalarising Function for Multi-Objective Bayesian Optimisation? - Amin Jourabloo, Fernando De la Torre, Jason M. Saragih, Shih-En Wei, Te-Li Wang, Stephen Lombardi, Danielle Belko, Autumn Trimble, Hernán Badino:
Robust Egocentric Photo-realistic Facial Expression Transfer for Virtual Reality. - Urvil Nileshbhai Jivani, Omatharv Bharat Vaidya, Anwesh Bhattacharya, Snehanshu Saha:
A Swarm Variant for the Schrödinger Solver. - Ming-Hui Ding, Hongyu Liu, Guang-Hui Zheng:
Shape reconstructions by using plasmon resonances. - Alexander Brace, Hyungro Lee
, Heng Ma, Anda Trifan, Matteo Turilli, Igor Yakushin, Todd S. Munson, Ian T. Foster, Shantenu Jha, Arvind Ramanathan:
Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles. - Kaleem Nawaz Khan, Muhammad Salman Khan, Mohammad Nauman, Muhammad Yaseen Khan:
Op2Vec: An Opcode Embedding Technique and Dataset Design for End-to-End Detection of Android Malware. - Fu-Hao Yu, Kuan-Yu Chen:
Non-autoregressive Transformer-based End-to-end ASR using BERT. - Truong Dang, Tien Thanh Nguyen, John McCall, Eyad Elyan, Carlos Francisco Moreno-García
:
Two layer Ensemble of Deep Learning Models for Medical Image Segmentation. - Vivak Patel, Mohammad Jahangoshahi, Daniel Adrian Maldonado:
Convergence of Adaptive, Randomized, Iterative Linear Solvers. - Cheng Lyu
, Youwei Jia, Zhao Xu:
Real-time Operation Optimization of Microgrids with Battery Energy Storage System: A Tube-based Model Predictive Control Approach. - Klaus Deckelnick, Vanessa Styles:
Finite element error analysis for a system coupling surface evolution to diffusion on the surface. - Radu Tudor Ionescu, Adrian-Gabriel Chifu:
FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection. - Sally Ghanem, Siddharth Roheda, Hamid Krim:
Latent Code-Based Fusion: A Volterra Neural Network Approach. - Aidin Zehtab-Salmasi, Mohammad-Reza Feizi-Derakhshi, Mohammad Ali Balafar:
FRAKE: Fusional Real-time Automatic Keyword Extraction. - Truong Dang, Tien Thanh Nguyen, John A. W. McCall, Alan Wee-Chung Liew:
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation. - Jiapeng Zhong, Zheyu Ye, Andrei Cramariuc, Florian Tschopp, Jen Jen Chung, Roland Siegwart, César Cadena:
CalQNet - Detection of Calibration Quality for Life-Long Stereo Camera Setups. - Alex Jones, Derry Tanti Wijaya:
Sentiment-based Candidate Selection for NMT. - Xu Han, Michelle Zhou, Matthew J. Turner, Tom Yeh:
Designing Effective Interview Chatbots: Automatic Chatbot Profiling and Design Suggestion Generation for Chatbot Debugging. - Joseph L. Mundy, Hank Theiss:
Error Propagation in Satellite Multi-image Geometry. - Manuel Tomas Carrasco-Benitez:
On migration to Perpetual Enterprise System. - Marc Erich Latoschik, Carolin Wienrich:
Coherence and Plausibility, not Presence?! Pivotal Conditions for XR Experiences and Effects, a Novel Model. - Sourya Basu, Akshayaa Magesh, Harshit Yadav, Lav R. Varshney:
Group Equivariant Neural Architecture Search via Group Decomposition and Reinforcement Learning. - Shaojie Tang:
Beyond Pointwise Submodularity: Non-Monotone Adaptive Submodular Maximization subject to a Knapsack Constraint. - Edvard P. G. Bruun, Rafael Pastrana, Vittorio Paris, Alessandro Beghini, Attilio Pizzigoni, Stefana Parascho, Sigrid Adriaenssens:
Three Cooperative Robotic Fabrication Methods for the Scaffold-Free Construction of a Masonry Arch. - Reza Hadi Mogavi, Yankun Zhao, Ehsan ul Haq, Pan Hui, Xiaojuan Ma:
Student Barriers to Active Learning in Synchronous Online Classes: Characterization, Reflections, and Suggestions. - Toni Sayah:
Convergence analysis of numerical schemes for the Darcy-Forchheimer problem. - Ruoyu Wang, Xuchu Xu, Li Ding, Yang Huang, Chen Feng:
Deep Weakly Supervised Positioning. - MohammadReza Besharati, Mohammad Izadi:
Assessing and Supplying the Health of Videos Games via Formal Semantics. - Zi Wang:
Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis. - Nikhil Oswal:
Identifying and Categorizing Offensive Language in Social Media. - Daniel A. Roberts:
SGD Implicitly Regularizes Generalization Error. - Jianguo Huang, Chunmei Wang, Haoqin Wang:
Adaptive Learning on the Grids for Elliptic Hemivariational Inequalities. - Michelle M. Li, Kexin Huang, Marinka Zitnik:
Representation Learning for Networks in Biology and Medicine: Advancements, Challenges, and Opportunities. - Abu Md Niamul Taufique, David W. Messinger:
Hyperspectral Pigment Analysis of Cultural Heritage Artifacts Using the Opaque Form of Kubelka-Munk Theory. - Massinissa Hamidi, Aomar Osmani:
Description of Structural Biases and Associated Data in Sensor-Rich Environments. - Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao:
Adversarial Training as Stackelberg Game: An Unrolled Optimization Approach. - Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh:
Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition. - Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham:
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels. - Peter Du, Katherine Rose Driggs-Campbell, Roy Dong:
A Moment-Based Safety Analysis for Stochastic Dynamical Systems. - Brittany Davis Pierson, Justine Ventura, Matthew E. Taylor:
The Atari Data Scraper. - Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian:
Location-Sensitive Visual Recognition with Cross-IOU Loss. - Huan Hu, Jianzhong Li:
Sublinear Time Nearest Neighbor Search over Generalized Weighted Manhattan Distance. - Chuang Yang, Mulin Chen, Qi Wang, Xuelong Li:
RayNet: Real-time Scene Arbitrary-shape Text Detection with Multiple Rays. - Meiyi Ma, Ezio Bartocci, Eli Lifland, John A. Stankovic, Lu Feng:
A Novel Spatial-Temporal Specification-Based Monitoring System for Smart Cities. - Qi Wang, Xu Jiang, Mulin Chen, Xuelong Li:
Auto-weighted Multi-view Feature Selection with Graph Optimization. - Xiang Chen, Xin Xie, Zhen Bi, Hongbin Ye, Shumin Deng, Ningyu Zhang
, Huajun Chen:
Disentangled Contrastive Learning for Learning Robust Textual Representations. - Sepehr Assadi, Vishvajeet N:
Graph Streaming Lower Bounds for Parameter Estimation and Property Testing via a Streaming XOR Lemma. - Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. - Yifei Yuan, Sen Wang, Yongpeng Wu, H. Vincent Poor, Zhiguo Ding, Xiaohu You, Lajos Hanzo:
NOMA for Next-generation Massive IoT: Performance Potential and Technology Directions. - Swaroop Panda, Shatarupa Thakurta Roy:
Visualization Improvisation. - Xutan Peng, Chenghua Lin, Mark Stevenson:
Cross-Lingual Word Embedding Refinement by 𝓁1 Norm Optimisation. - Ruigang Wang, Patrick J. W. Koelwijn, Ian R. Manchester, Roland Tóth:
Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics. - Swaroop Panda, Shatarupa Thakurta Roy:
A Preliminary Model for the Design of Music Visualizations. - Arun Babu, Akshat Shrivastava, Armen Aghajanyan, Ahmed Aly, Angela Fan, Marjan Ghazvininejad:
Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog. - Ihab S. Mohamed:
MPPI-VS: Sampling-Based Model Predictive Control Strategy for Constrained Image-Based and Position-Based Visual Servoing. - Damien Rohmer, Marco Tarini, Niranjan Kalyanasundaram, Faezeh Moshfeghifar, Marie-Paule Cani, Victor B. Zordan:
Velocity Skinning for Real-time Stylized Skeletal Animation. - Abdul Wahid, Rajesh Sharma, Chandra Sekhara Rao Annavarapu:
A Graph Convolutional Neural Network based Framework for Estimating Future Citations Count of Research Articles. - Gerardo L. Maldonado, Edgardo Roldán-Pensado:
Dissecting the square into seven congruent parts. - Tomasz Szandala:
Enhancing Deep Neural Network Saliency Visualizations with Gradual Extrapolation. - Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu:
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. - Kun Xu, Han Wu, Linfeng Song, Haisong Zhang, Linqi Song, Dong Yu:
Conversational Semantic Role Labeling. - Shih-Hsuan Chiu, Berlin Chen:
Innovative Bert-based Reranking Language Models for Speech Recognition. - Junghyo Sohn, Eunjin Jeon, Wonsik Jung
, Eunsong Kang, Heung-Il Suk:
Fine-Grained Attention for Weakly Supervised Object Localization. - Binyi Su, Zhong Zhou, Haiyong Chen, Xiaochun Cao:
SIGAN: A Novel Image Generation Method for Solar Cell Defect Segmentation and Augmentation. - Riyadh Baghdadi, Massinissa Merouani, Mohamed-Hicham Leghettas, Kamel Abdous, Taha Arbaoui, Karima Benatchba, Saman P. Amarasinghe:
A Deep Learning Based Cost Model for Automatic Code Optimization. - Mario Di Mauro, Giovanni Galatro, Giancarlo Fortino, Antonio Liotta:
Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review. - Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang:
Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. - P. C. N. Verheijen, Gustavo R. Gonçalves da Silva, Mircea Lazar:
Data-driven predictive control with estimated prediction matrices and integral action. - Uriel Feige, Ariel Sapir, Laliv Tauber:
A tight negative example for MMS fair allocations. - Ali Cheraghian, Shafin Rahman, Townim F. Chowdhury, Dylan Campbell, Lars Petersson:
Zero-Shot Learning on 3D Point Cloud Objects and Beyond. - Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu:
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. - Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu:
AutoGL: A Library for Automated Graph Learning. - Jeremy Barnes, Petter Mæhlum, Samia Touileb:
NorDial: A Preliminary Corpus of Written Norwegian Dialect Use. - Raven Beutner, Luke Ong:
On Probabilistic Termination of Functional Programs with Continuous Distributions. - Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval. - Ran Tamir, Ariel Livshits, Yonatan Shadmi:
Simple Majority Consensus in Networks with Unreliable Communication. - Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya:
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation. - Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh:
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms. - Samuel Gerber:
Saddlepoints in Unsupervised Least Squares. - Valentina Rizzello, Wolfgang Utschick:
Learning the CSI Denoising and Feedback Without Supervision. - Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings. - Paul Honore Takam, Ralf Wunderlich, Olivier Menoukeu Pamen:
Short-Term Behavior of a Geothermal Energy Storage: Modeling and Theoretical Results. - Yuejiang Li, Hong Vicky Zhao:
Evaluation and Control of Opinion Polarization and Disagreement: A Review. - Jian Zhu, David Jurgens:
The structure of online social networks modulates the rate of lexical change. - Limeng Dong, Hui-Ming Wang, Haitao Xiao:
Secure Cognitive Radio Communication via Intelligent Reflecting Surface. - Ziang Cheng, Hongdong Li, Richard I. Hartley, Yinqiang Zheng, Imari Sato:
One Ring to Rule Them All: a simple solution to multi-view 3D-Reconstruction of shapes with unknown BRDF via a small Recurrent ResNet. - Jin Tang, Jin Zhang, Jianqin Yin:
Temporal Consistency Two-Stream CNN for Human Motion Prediction. - Yu Pan, Maolin Wang, Zenglin Xu:
TedNet: A Pytorch Toolkit for Tensor Decomposition Networks. - Alon Eirew, Arie Cattan, Ido Dagan:
WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia. - Xindan Gao, Li Cai, Craig S. Henriquez, Wenjun Ying:
A Kernel-free Boundary Integral Method for the Bidomain Equations. - Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky:
Reducing Representation Drift in Online Continual Learning. - Yaroslav Meshcheryakov, Anna Melman, Oleg Evsutin, Vladimir Morozov, Yevgeni Koucheryavy:
On performance of PBFT for IoT-applications with constrained devices. - Divine Maloney, Guo Freeman, Andrew C. Robb:
Social Virtual Reality: Ethical Considerations and Future Directions for An Emerging Research Space. - Rodney LaLonde, Naji Khosravan, Ulas Bagci:
Deformable Capsules for Object Detection. - Samson B. Akintoye, Liangxiu Han, Xin Zhang, Haoming Chen, Daoqiang Zhang:
A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. - Sheng He, Lambert Schomaker
:
GR-RNN: Global-Context Residual Recurrent Neural Networks for Writer Identification. - Aditya Mandalika, Rosario Scalise, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. - Zhenlong Li, Xiao Huang, Tao Hu, Huan Ning, Xinyue Ye, Xiaoming Li:
ODT FLOW: A Scalable Platform for Extracting, Analyzing, and Sharing Multi-source Multi-scale Human Mobility. - Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen:
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning. - Maksym Ivashechkin, Daniel Barath, Jiri Matas:
USACv20: robust essential, fundamental and homography matrix estimation. - Suyash Shandilya:
Print Error Detection using Convolutional Neural Networks. - Oluwafemi Olaleke, Ivan V. Oseledets, Evgeny Frolov:
Dynamic Modeling of User Preferences for Stable Recommendations. - Konstantinos Makantasis, Alexandros Georgogiannis, Athanasios Voulodimos, Ioannis Georgoulas, Anastasios D. Doulamis, Nikolaos Doulamis:
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification. - Alaaeddine Chaoub, Alexandre Voisin, Christophe Cerisara, Benoît Iung:
Learning representations with end-to-end models for improved remaining useful life prognostics. - Yang Liu, Shengmao Zhang, Fei Wang, Wei Fan, Guohua Zou, Jing Bo:
Research on Optimization Method of Multi-scale Fish Target Fast Detection Network. - Wenzhong Yan, Dawei Zhao, Ankur Mehta:
Fabrication-aware Design for Furniture with Planar Pieces. - Yang Zhang, Evelina Bakhturina, Kyle Gorman, Boris Ginsburg:
NeMo Inverse Text Normalization: From Development To Production. - Mario Montagud, Jie Li, Gianluca Cernigliaro
, Abdallah El Ali, Sergi Fernández, Pablo César:
Towards SocialVR: Evaluating a Novel Technology for Watching Videos Together. - Maor Ivgi, Jonathan Berant:
Achieving Model Robustness through Discrete Adversarial Training. - Aaron Mueller, Mark Dredze:
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling. - Rustem Takhanov
:
The algebraic structure of the densification and the sparsification tasks for CSPs. - Satpreet H. Singh:
A Non-Negative Matrix Factorization Game. - Dajiang Suo, Jinhua Zhao, Sanjay E. Sarma:
Proof of Travel for Trust-Based Data Validation in V2I Communication Part I: Methodology. - Ilgiz Murzakhanov, David Pozo:
Priority Lists for Power System Investments: Locating Phasor Measurement Units. - Furkan Kinli, Baris Özcan, Furkan Kiraç:
Instagram Filter Removal on Fashionable Images. - Grigorios G. Chrysos, Yannis Panagakis:
CoPE: Conditional image generation using Polynomial Expansions. - Vera Soboleva, Oleg Shipitko:
Raindrops on Windshield: Dataset and Lightweight Gradient-Based Detection Algorithm. - (Withdrawn) The Core of Approval Participatory Budgeting with Uniform Costs (or with up to Four Projects) is Non-Empty.
- Orestis Plevrakis:
Learning from Censored and Dependent Data: The case of Linear Dynamics. - Salva Rühling Cachay, Emma Erickson, Arthur Fender C. Bucker, Ernest Pokropek, Willa Potosnak, Suyash Bire, Salomey Osei, Björn Lütjens:
The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks. - Daniel Ting:
Simple, Optimal Algorithms for Random Sampling Without Replacement. - Anders Aamand, Jakob Bæk Tejs Knudsen, Mikkel Thorup:
Load Balancing with Dynamic Set of Balls and Bins. - Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Shouling Ji:
Constructing Contrastive samples via Summarization for Text Classification with limited annotations. - Kevin L. Course, Trefor W. Evans, Prasanth B. Nair:
Weak Form Generalized Hamiltonian Learning. - Louis Béthune
, Alberto González-Sanz, Franck Mamalet, Mathieu Serrurier:
The Many Faces of 1-Lipschitz Neural Networks. - Atanu Barai, Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
PPT-Multicore: Performance Prediction of OpenMP applications using Reuse Profiles and Analytical Modeling. - Devis Tuia, Ribana Roscher, Jan Dirk Wegner, Nathan Jacobs, Xiao Xiang Zhu, Gustau Camps-Valls:
Towards a Collective Agenda on AI for Earth Science Data Analysis. - Philipp Scharpf, Moritz Schubotz, Bela Gipp:
Fast Linking of Mathematical Wikidata Entities in Wikipedia Articles Using Annotation Recommendation. - Tian Gao, Zishen Wan
, Yuyang Zhang, Bo Yu, Yanjun Zhang, Shaoshan Liu, Arijit Raychowdhury:
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform. - James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang:
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models. - Paul Honore Takam, Ralf Wunderlich, Olivier Menoukeu Pamen:
Short-Term Behavior of a Geothermal Energy Storage: Numerical Applications. - Damu Ding, Marco Savi, Domenico Siracusa:
Tracking Normalized Network Traffic Entropy to Detect DDoS Attacks in P4. - Jawad Haj-Yahya, Jisung Park, Rahul Bera, Juan Gómez-Luna, Efraim Rotem, Taha Shahroodi, Jeremie S. Kim, Onur Mutlu:
BurstLink: Techniques for Energy-Efficient Conventional and Virtual Reality Video Display. - Cuauhtemoc Daniel Suarez-Ramirez, Miguel González-Mendoza, Leonardo Chang-Fernandez, Gilberto Ochoa-Ruiz, Mario Alberto Duran-Vega:
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks. - Evgeny Toropov, Paola A. Buitrago, José M. F. Moura:
Shuffler: A Large Scale Data Management Tool for ML in Computer Vision. - Dan Plyukhin, Gul Agha:
A Scalable Algorithm for Decentralized Actor Termination Detection. - Balakrishnan Devarajan:
Analyzing Thermal Buckling in Curvilinearly Stiffened Composite Plates with Arbitrary Shaped Cutouts Using Isogeometric Level Set Method. - Fangwei Ye, Carolina Naim, Salim El Rouayheb:
ON-OFF Privacy Against Correlation Over Time. - Chaoxing Huang:
Event-based Timestamp Image Encoding Network for Human Action Recognition and Anticipation. - Sweta Agrawal, George F. Foster, Markus Freitag, Colin Cherry:
Assessing Reference-Free Peer Evaluation for Machine Translation. - Chunjae Park:
Successive finite element methods for Stokes equations. - Nima Akbarzadeh, Aditya Mahajan
:
Maintenance of a collection of machines under partial observability: Indexability and computation of Whittle index. - Wen-jun Tang, Hao Wang, Xian-Long Lee, Hong-Tzer Yang:
Uncover Residential Energy Consumption Patterns Using Socioeconomic and Smart Meter Data. - Oleg V. Vasilyev, John Bohannon:
Estimation of Summary-to-Text Inconsistency by Mismatched Embeddings. - Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao:
High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models. - Delian Ruan, Yan Yan, Shenqi Lai, Zhenhua Chai, Chunhua Shen, Hanzi Wang:
Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition. - Haoyang Yan, Xiaolei Ma:
Learning dynamic and hierarchical traffic spatiotemporal features with Transformer. - Xiaoyuan Luo, Shaolei Liu, Kexue Fu, Manning Wang, Zhijian Song:
A Learnable Self-supervised Task for Unsupervised Domain Adaptation on Point Clouds. - Victoria M. T. Palhares, André R. Flores, Rodrigo C. de Lamare:
Iterative Access Point Selection, MMSE Precoding and Power Allocation for Cell-Free Networks. - Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran:
Object-Centric Representation Learning for Video Question Answering. - Hao Jiang, Vamsi Krishna Ithapu:
Egocentric Pose Estimation from Human Vision Span. - Wenjun Jiang, Mingyang Yue, Xiaojun Yuan, Yong Zuo:
MIMO-OFDM-Based Massive Connectivity With Frequency Selectivity Compensation. - Somi Jeong, Youngjung Kim, Eungbean Lee, Kwanghoon Sohn:
Memory-guided Unsupervised Image-to-image Translation. - (Withdrawn) Deep Recursive Embedding for High-Dimensional Data.
- William Kuszmaul:
How Asymmetry Helps Buffer Management: Achieving Optimal Tail Size in Cup Games. - Cheng Chi, Shuran Song:
GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion. - Jinnan Piao, Kai Niu, Jincheng Dai, Lajos Hanzo:
Polar-Precoding: A Unitary Finite-Feedback Transmit Precoder for Polar-Coded MIMO Systems. - Hanrui Zhang, Yu Cheng, Vincent Conitzer:
Automated Mechanism Design for Classification with Partial Verification. - Ali Dehghantanha, Hadis Karimipour, Amin Azmoodeh:
Cybersecurity in Smart Farming: Canada Market Research. - Pengcheng Xia, Haoyu Wang, Zhou Yu, Xinyu Liu, Xiapu Luo, Guoai Xu:
Ethereum Name Service: the Good, the Bad, and the Ugly. - Jamshid Sourati, James Evans:
Accelerating science with human versus alien artificial intelligences. - Yiwei Lyu, Paul Pu Liang, Hai Pham, Eduard H. Hovy, Barnabás Póczos, Ruslan Salakhutdinov, Louis-Philippe Morency:
StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer. - Bilal Raza, Tony Clear, Stephen G. MacDonell:
Continuous Transition in Outsourcing: A Case Study. - Valeriu Motroi, Stefan Ciobaca:
A Note on the Performance of Algorithms for Solving Linear Diophantine Equations in the Naturals. - H. Narayanan, Hariharan Narayanan:
On Thevenin-Norton and Maximum power transfer theorems. - Feng Huang, Weisong Wen, Jiachen Zhang, Li-Ta Hsu:
Point wise or Feature wise? Benchmark Comparison of Public Available LiDAR Odometry Algorithms in Urban Canyons. - Liao Zhang, Lasse Blaauwbroek, Bartosz Piotrowski, Prokop Cerný, Cezary Kaliszyk, Josef Urban:
Online Machine Learning Techniques for Coq: A Comparison. - Khoa Cong Hoang, Wesley P. Chan, Steven Lay, Akansel Cosgun, Elizabeth A. Croft:
Virtual Barriers in Augmented Reality for Safe and Effective Human-Robot Cooperation in Manufacturing. - Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching. - Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen:
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. - Shamma Nasrin, Ahish Shylendra, Yuti Kadakia, Nick Iliev, Wilfred Gomes, Theja Tulabandhula, Amit Ranjan Trivedi:
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators. - Kevin Yang, Dan Klein:
FUDGE: Controlled Text Generation With Future Discriminators. - Zhongfen Deng, Hao Peng
, Dongxiao He, Jianxin Li, Philip S. Yu:
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. - Jakob Nyberg, Ramesh R. Manuvinakurike, Maike Paetzel-Prüsmann:
Estimating Subjective Crowd-Evaluations as an Additional Objective to Improve Natural Language Generation. - Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao:
Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding. - Simon Hengchen, Nina Tahmasebi:
SuperSim: a test set for word similarity and relatedness in Swedish. - Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. - Leonardo Mariani, Mauro Pezzè, Valerio Terragni, Daniele Zuddas:
An Evolutionary Approach to Adapt Tests Across Mobile Apps. - Cong Li, Min Shi, Bo Qu, Xiang Li:
Deep Attributed Network Representation Learning via Attribute Enhanced Neighborhood. - Km Poonam, Rajlakshmi Guha, Partha Pratim Chakrabarti:
Artificial Intelligence Methods Based Hierarchical Classification of Frontotemporal Dementia to Improve Diagnostic Predictability. - Giorgio Taricco:
Information Rate Optimization for Joint Relay and Link in Non-Regenerative MIMO Channels. - Hao Ouyang, Zifan Shi, Chenyang Lei, Ka Lung Law, Qifeng Chen:
Neural Camera Simulators. - Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang, Xiaolin Hu:
Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation. - Zexuan Zhong, Dan Friedman, Danqi Chen:
Factual Probing Is [MASK]: Learning vs. Learning to Recall. - Matteo Cartiglia, Germain Haessig, Giacomo Indiveri:
An error-propagation spiking neural network compatible with neuromorphic processors. - Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa:
On Unifying Misinformation Detection. - Ji Liu, Ce Zhang:
Distributed Learning Systems with First-order Methods. - Gianluca Ceruti, Jonas Kusch, Christian Lubich:
A rank-adaptive robust integrator for dynamical low-rank approximation. - Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari:
All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training. - Benjamin Heymann, Michel De Lara, Jean-Philippe Chancelier:
Kuhn's Equivalence Theorem for Games in Product Form. - Victor Berger, Michèle Sebag:
Boltzmann Tuning of Generative Models. - Marvin Klingner, Andreas Bär, Marcel Mross, Tim Fingscheidt:
Improving Online Performance Prediction for Semantic Segmentation. - Sylvie Boldo, François Clément, Florian Faissole, Vincent Martin, Micaela Mayero:
A Coq Formalization of Lebesgue Integration of Nonnegative Functions. - Annalisa Milella, Giulio Reina, Michael Nielsen:
A multi-sensor robotic platform for ground mapping and estimation beyond the visible spectrum. - Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas Maier, Dorin Comaniciu:
Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment. - Thomas Colcombet, Nathanaël Fijalkow, Pawel Gawrychowski, Pierre Ohlmann:
The Theory of Universal Graphs for Infinite Duration Games. - Xubin Zhong, Xian Qu, Changxing Ding, Dacheng Tao:
Glance and Gaze: Inferring Action-aware Points for One-Stage Human-Object Interaction Detection. - Giulio Reina, Annalisa Milella, Raphaël Rouveure, Michael Nielsen, Rainer Worst, Morten R. Blas:
Ambient awareness for agricultural robotic vehicles. - Yuxin Liang, Rui Cao, Jie Zheng, Jie Ren, Ling Gao:
Learning to Remove: Towards Isotropic Pre-trained BERT Embedding. - Tobias Norlund, Agnes Stenbom:
Building a Swedish Open-Domain Conversational Language Model. - Ahmet Iscen, André Araújo, Boqing Gong, Cordelia Schmid:
Class-Balanced Distillation for Long-Tailed Visual Recognition. - Marco Attene:
Shapes In A Box - Disassembling 3D objects for efficient packing and fabrication. - Jonas Straub, David Reiser, Hans W. Griepentrog:
Approach for modeling single branches of meadow orchard trees with 3D point clouds. - David de la Torre Sangrà, Elena Fantino:
Review of Lambert's problem. - Nils Lüling, David Reiser, Hans W. Griepentrog:
Volume and leaf area calculation of cabbage with a neural network-based instance segmentation. - Dimitrios Amaxilatis, Georgios Mylonas, Evangelos Theodoridis, Luis Díez, Katerina Deligiannidou:
LearningCity: Knowledge Generation for Smart Cities. - Sebastian Bökle, Leon Koenn, David Reiser, Dimitris S. Paraforos, Hans W. Griepentrog:
Consideration of resilience for digital farming systems. - Rebekka Haese, Till Heller, Sven O. Krumke:
Algorithms and Complexity for the Almost Equal Maximum Flow Problem. - Yang Hong, Juyong Zhang, Boyi Jiang, Yudong Guo, Ligang Liu, Hujun Bao:
StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision. - Simon Joseph Aquilina, Fran Casino, Mark Vella, Joshua Ellul, Constantinos Patsakis:
EtherClue: Digital investigation of attacks on Ethereum smart contracts. - Shubham Gupta, Aadirupa Saha, Sumeet Katariya:
Pure Exploration with Structured Preference Feedback. - He Zhu, Shan Yu:
Intra-Class Uncertainty Loss Function for Classification. - Corvin Deboeser, Jordan Ivanchev, Thomas Braud, Alois C. Knoll, David Eckhoff, Alberto L. Sangiovanni-Vincentelli:
A Hierarchical State-Machine-Based Framework for Platoon Manoeuvre Descriptions. - (Withdrawn) WLFC: Write Less in Flash-based Cache.
- Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen:
Personalized Bundle Recommendation in Online Games. - Kaicheng Yu, René Ranftl, Mathieu Salzmann:
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. - Dawn Drain, Changran Hu, Chen Wu, Mikhail Breslav, Neel Sundaresan:
Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers. - Vivek S. Borkar, Siddharth Chandak:
Prospect-theoretic Q-learning. - Serguei Popov, Sebastian Müller:
Voting-based probabilistic consensuses and their applications in distributed ledgers. - Christian Janiesch, Patrick Zschech, Kai Heinrich:
Machine learning and deep learning. - Lu Xu
, Zhanming Jie, Wei Lu, Lidong Bing:
Better Feature Integration for Named Entity Recognition. - Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio:
Stay Together: A System for Single and Split-antecedent Anaphora Resolution. - Rachit Bansal, William Scott Paka, Nidhi, Shubhashis Sengupta, Tanmoy Chakraborty:
Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets. - Dario Cavallaro, Till Fluschnik:
Feedback Vertex Set on Hamiltonian Graphs. - Petr Tichavský:
Characterization of Decomposition of Matrix Multiplication Tensors. - Saeid Ghasemshirazi, Pouya Heydarabadi:
Exploring the Attack Surface of WebSocket. - Mikko Impiö, Mehmet Yamaç, Jenni Raitoharju:
Multi-level reversible encryption for ECG signals using compressive sensing. - Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski:
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition. - Sk Aziz Ali, Kerem Kahraman, Gerd Reis, Didier Stricker:
RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2D-Tree Representation. - Chen Ling, Jinjie Liu, Chen Ouyang, Liqun Qi:
ST-SVD Factorization and s-Diagonal Tensors. - (Withdrawn) MeToo Tweets Sentiment Analysis Using Multi Modal frameworks.
- Maximilian Schäfer, Yolanda Salinas, Alexander Ruderer, Franz Enzenhofer, Oliver Brüggemann, Robert Schober, Werner Haselmayr:
Channel Modeling for Drug Carrier Matrices. - Michael Koller, Timothy Patten, Markus Vincze:
Risk-Averse Biased Human Policies in Assistive Multi-Armed Bandit Settings. - Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals:
Machine Translation Decoding beyond Beam Search. - Long Li, Chang Yang:
Asymptotic preserving scheme for anisotropic elliptic equations with deep neural network. - Ella Velner
, Khiet P. Truong, Vanessa Evers:
Speaking of Trust - Speech as a Measure of Trust. - Qifan Xu, Shenggui Li, Chaoyu Gong, Yang You:
An Efficient 2D Method for Training Super-Large Deep Learning Models. - Mateusz Ochal, Massimiliano Patacchiola, Amos J. Storkey, Jose Vazquez, Sen Wang:
How Sensitive are Meta-Learners to Dataset Imbalance? - Ziyang Hong, Yvan R. Petillot, Andrew M. Wallace, Sen Wang:
Radar SLAM: A Robust SLAM System for All Weather Conditions. - Basil Fürer, Andreas Lochbihler, Joshua Schneider, Dmitriy Traytel:
Quotients of Bounded Natural Functors. - Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer, Upamanyu Madhow:
Sparse Coding Frontend for Robust Neural Networks. - Anthony Steed:
What We Measure in Mixed Reality Experiments. - Hiroshi Sasaki
, Chris G. Willcocks, Toby P. Breckon:
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models. - Anthony Steed, Daniel Archer, Ben J. Congdon, Sebastian Friston, David Swapp, Felix J. Thiel:
Some Lessons Learned Running Virtual Reality Experiments Out of the Laboratory. - Mika Hämäläinen, Khalid Al-Najjar:
The Great Misalignment Problem in Human Evaluation of NLP Methods. - Giacomo Oliveri, Giorgio Gottardi, Nicola Anselmi, Andrea Massa:
Capacity-Driven Low-Interference Fast Beam Synthesis for Next Generation Base Stations. - José Luís Devezas, Sérgio Nunes:
Fatigued Random Walks in Hypergraphs: A Neuronal Analogy to Improve Retrieval Performance. - Siqi Wu, Paul Resnick:
Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives. - Lisa Izzouzi, Anthony Steed:
Effectiveness of Social Virtual Reality. - Chuanxia Zheng, Duy-Son Dao, Guoxian Song, Tat-Jen Cham, Jianfei Cai:
Visiting the Invisible: Layer-by-Layer Completed Scene Decomposition. - Jin-Yuan Wang, Yang Ma, Rong-Rong Lu, Jun-Bo Wang, Min Lin, Julian Cheng:
Hovering UAV-Based FSO Communications: Channel Modelling, Performance Analysis, and Parameter Optimization. - José Luís Devezas, Sérgio Nunes:
Fatigued PageRank. - Adam Paszke, Daniel D. Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew J. Johnson, Jonathan Ragan-Kelley, Dougal Maclaurin:
Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for Pointful Array Programming. - Hongbin Xu, Zhipeng Zhou, Yu Qiao, Wenxiong Kang, Qiuxia Wu:
Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation. - Carlos Cardoso Galhardo, Peter Mell, Irena Bojanova, Assane Gueye:
Measurements of the Most Significant Software Security Weaknesses. - Tianwei Lin, Zhuoqi Ma, Fu Li, Dongliang He, Xin Li, Errui Ding, Nannan Wang, Jie Li, Xinbo Gao:
Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer. - Nick Rossenbach, Mohammad Zeineldeen, Benedikt Hilmes, Ralf Schlüter, Hermann Ney:
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures. - Haoran Zhao, Xin Sun, Junyu Dong, Hui Yu, Huiyu Zhou:
Dual Discriminator Adversarial Distillation for Data-free Model Compression. - Omar Maraqa, Aditya S. Rajasekaran, Hamza Umit Sokun, Saad Al-Ahmadi, Halim Yanikomeroglu, Sadiq M. Sait:
Energy-Efficient Coverage Enhancement of Indoor THz-MISO Systems: An FD-NOMA Approach. - Alexander Hadjiivanov:
Adaptive conversion of real-valued input into spike trains. - N. Annamalai, Anandhu Mohan, C. Durairajan:
Additive Tridiagonal Codes over F4. - V. K. Ivanov, I. V. Obraztsov, Boris V. Palyukh:
Implementing an expert system to evaluate technical solutions innovativeness. - Qingqing Zhou, Chengzhi Zhang:
Breaking Community Boundary: Comparing Academic and Social Communication Preferences regarding Global Pandemics. - Alexander Hadjiivanov, Alan Blair:
Epigenetic evolution of deep convolutional models. - Yuanpeng He:
An approach utilizing negation of extended-dimensional vector of disposing mass for ordinal evidences combination in a fuzzy environment. - Kevin René Broløs, Meera Vieira Machado, Chris Cave, Jaan Kasak, Valdemar Stentoft-Hansen, Victor Galindo Batanero, Tom Jelen, Casper Wilstrup:
An Approach to Symbolic Regression Using Feyn. - Shuang Ma, Zhaoyang Zeng, Daniel McDuff, Yale Song:
Contrastive Learning of Global and Local Audio-Visual Representations. - Mahdi Nazemi, Arash Fayyazi, Amirhossein Esmaili, Atharva Khare, Soheil Nazar Shahsavani, Massoud Pedram:
NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic. - Stefan Edelkamp:
ELO System for Skat and Other Games of Chance. - Stefan Edelkamp:
Knowledge-Based Paranoia Search in Trick-Taking. - Jan Maly:
Ranking Sets of Objects: The Complexity of Avoiding Impossibility Results. - Maha Filali Rotbi, Saad Motahhir, Abdelaziz El Ghzizal:
Blockchain technology for a Safe and Transparent Covid-19 Vaccination. - Sebastian Grans, Lars Tingelstad:
Blazer: Laser Scanning Simulation using Physically Based Rendering. - Michael Guckert, Nils Gumpfer, Jennifer Hannig, Till Keller, Neil Urquhart:
A Conceptual Framework for Establishing Trust in Real World Intelligent Systems. - Nora Hollenstein, Federico Pirovano, Ce Zhang, Lena A. Jäger, Lisa Beinborn:
Multilingual Language Models Predict Human Reading Behavior. - Ruixuan Yan, Agung Julius:
Neural Network for Weighted Signal Temporal Logic. - Kevin Zeng, Michael D. Graham:
Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics. - Yong Wang:
Actors - A Process Algebra Based Approach. - Haoxiang Lin, Shuqian Ye
, Xi Zhu:
Tensor Network for Supervised Learning at Finite Temperature. - Jakob Gawlikowski, Sudipan Saha, Anna M. Kruspe, Xiao Xiang Zhu:
Out-of-distribution detection in satellite image classification. - Sudipan Saha, Biplab Banerjee, Xiao Xiang Zhu:
Trusting small training dataset for supervised change detection. - Pei Fu, Gunilla Kreiss:
High order cut discontinuous Galerkin methods for hyperbolic conservation laws in one space dimension. - Guangzeng Xie, Hao Jin, Dachao Lin, Zhihua Zhang:
Meta-Regularization: An Approach to Adaptive Choice of the Learning Rate in Gradient Descent. - Bing Zha, Alessandro Vanni, Yassin Hassan, Tunc Aldemir, Alper Yilmaz:
Deep Transformer Networks for Time Series Classification: The NPP Safety Case. - Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Sébastien Bougleux, Mathieu Salaün, Su Ruan:
Deep learning using Havrda-Charvat entropy for classification of pulmonary endomicroscopy. - Marek Suppa, Ondrej Jariabka, Adrián Matejov, Marek Nagy:
TermAdventure: Interactively Teaching UNIX Command Line, Text Adventure Style. - Pengfei Wang, Chengquan Zhang, Fei Qi, Shanshan Liu, Xiaoqiang Zhang, Pengyuan Lyu, Junyu Han, Jingtuo Liu, Errui Ding, Guangming Shi:
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network. - Fabio Poletto, Yunbai Zhang, André Panisson, Yelena Mejova, Daniela Paolotti, Sylvain Ponserre:
Developing Annotated Resources for Internal Displacement Monitoring. - Xiaochen Zhang, Haitao Zhao, Jun Xiong, Li Zhou, Jibo Wei:
Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks. - Chuchu Chen, Jialin Hong, Derui Sheng:
Influences of Numerical Discretizations on Hitting Probabilities for Linear Stochastic Parabolic System. - Xavier Renard, Thibault Laugel, Marcin Detyniecki:
Understanding Prediction Discrepancies in Machine Learning Classifiers. - Yuan Shen, Niviru Wijayaratne, Katherine Rose Driggs-Campbell:
Building Mental Models through Preview of Autopilot Behaviors. - Raul Medeiros:
Unburdening onboarding in Software Product Lines. - Matin Jafarian, Mohammad H. Mamduhi, Karl Henrik Johansson:
Stochastic Stability of Discrete-time Phase-coupled Oscillators over Uncertain and Random Networks. - Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou:
Towards Crowd-aware Indoor Path Planning (Extended Version). - Hichem Sahbi:
Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition. - Dongfang Yang, Haolin Zhang, Ekim Yurtsever, Keith A. Redmill, Ümit Özgüner:
Predicting Pedestrian Crossing Intention with Feature Fusion and Spatio-Temporal Attention. - Kamini Sabu, Mithilesh Vaidya, Preeti Rao:
Deep Learning for Prominence Detection in Children's Read Speech. - Yufan Huang, Yanzhe Zhang, Jiaao Chen, Xuezhi Wang, Diyi Yang:
Continual Learning for Text Classification with Information Disentanglement Based Regularization. - Mingjie Li, Xiaoying Bai, Minghua Ma, Dan Pei:
DockerMock: Pre-Build Detection of Dockerfile Faults through Mocking Instruction Execution. - Ali Raza, Zongshun Zhang, Nabeel Akhtar, Vatche Isahagian, Ibrahim Matta:
LIBRA: An Economical Hybrid Approach for Cloud Applications with Strict SLAs. - Asad Ali, Olga Galinina, Sergey Andreev:
System-Level Dynamics of Highly Directional Distributed Networks. - Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
An MRF-UNet Product of Experts for Image Segmentation. - Arseny Moskvichev, James A. Liu:
Updater-Extractor Architecture for Inductive World State Representations. - Max Fleming, Priyanka Dondeti, Caitlin N. Dreisbach, Adam Poliak:
Fine-Tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets. - Shyam Sundar Kannan, Byung-Cheol Min:
Door Delivery of Packages using Drones. - Rebecca West, Khalifeh Al Jadda, Unaiza Ahsan, Huiming Qu, Xiquan Cui:
Interpretable Methods for Identifying Product Variants. - Yun Zhao, Xuerui Yang, Jinchao Wang, Yongyu Gao, Chao Yan, Yuanfu Zhou:
BART based semantic correction for Mandarin automatic speech recognition system. - Grzegorz Gluch, Rüdiger L. Urbanke:
Noether: The More Things Change, the More Stay the Same. - Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning. - Lu Lu, Haiyang He, Priya Kasimbeg, Rishikesh Ranade, Jay Pathak:
One-shot learning for solution operators of partial differential equations. - Giannis Karamanolakis, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah:
Self-Training with Weak Supervision. - José Carlos Bacelar Almeida, Manuel Barbosa, Karim Eldefrawy, Stéphane Graham-Lengrand, Hugo Pacheco, Vitor Pereira:
Machine-checked ZKP for NP-relations: Formally Verified Security Proofs and Implementations of MPC-in-the-Head. - Jeffrey Wen, Fabian Benitez-Quiroz, Qianli Feng, Aleix M. Martínez:
Diamond in the rough: Improving image realism by traversing the GAN latent space. - Bin Ren, Hao Tang, Fanyang Meng, Runwei Ding, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Cloth Interactive Transformer for Virtual Try-On. - Jiacheng Wu, Yong Zhang, Shimin Chen, Jin Wang, Yu Chen, Chunxiao Xing:
Updatable Learned Index with Precise Positions. - Kin G. Olivares, Cristian Challu, Grzegorz Marcjasz, Rafal Weron, Artur Dubrawski:
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. - Juntao Huang, Yong Liu, Yuan Liu, Zhanjing Tao, Yingda Cheng:
A class of adaptive multiresolution ultra-weak discontinuous Galerkin methods for some nonlinear dispersive wave equations. - An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-Seng Chua, Zehua Chen:
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance. - Steven Wong, Lejun Jiang, Robin Walters, Tamás G. Molnár, Gábor Orosz, Rose Yu:
Traffic Forecasting using Vehicle-to-Vehicle Communication. - Sam Ainsworth:
GhostMinion: A Strictness-Ordered Cache System for Spectre Mitigation. - Niloofar Bahadori, Mahmoud Nabil, Brian Kelley, Abdollah Homaifar:
Enabling Content-Centric Device-to-Device Communication in the Millimeter-Wave Band. - Yisi Han, Zhendong Wang, Yang Feng, Zhihong Zhao, Yi Wang:
Cross-status Communication and Project Outcomesin OSS Development A Language Style Matching Perspective. - Jiaqi Zhang, Xiangru Chen, Sandip Ray, Tao Li:
Optimizing the Whole-life Cost in End-to-end CNN Acceleration. - Mohammad Zeineldeen, Aleksandr Glushko, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Investigating Methods to Improve Language Model Integration for Attention-based Encoder-Decoder ASR Models. - Nan Bai
, Renqian Luo, Pirouz Nourian, Ana Pereira Roders:
WHOSe Heritage: Classification of UNESCO World Heritage "Outstanding Universal Value" Documents with Smoothed Labels. - Florian Cyril Stutz, Tim Felle Olsen, Jeroen Peter Groen, Niels Aage, Ole Sigmund, Justin Solomon, Jakob Andreas Bærentzen:
Synthesis of Frame Field-Aligned Multi-Laminar Structures. - Kihoon Jang, Junwhan Kim, Byunggu Yu
:
On Analyzing Churn Prediction in Mobile Games. - Francesco Dagnino:
A meta-theory for big-step semantics. - Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis:
Can Author Collaboration Reveal Impact? The Case of h-index. - Víctor Uc-Cetina, Nicolás Navarro-Guerrero, Anabel Martín-González, Cornelius Weber, Stefan Wermter
:
Survey on reinforcement learning for language processing. - Tao Lin:
Deep Learning for IoT. - Bowen Li, Xinping Ren, Ke Yan, Le Lu, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison:
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. - Byunggu Yu, Junwhan Kim:
Using a Neural Network to Detect Anomalies given an N-gram Profile. - Sanket Tavarageri, Gagandeep Goyal, Sasikanth Avancha, Bharat Kaul, Ramakrishna Upadrasta:
AI Powered Compiler Techniques for DL Code Optimization. - Rufin VanRullen
, Andrea Alamia:
GAttANet: Global attention agreement for convolutional neural networks. - Barbara Kaltenbacher, Anna Schlintl:
Fractional time stepping and adjoint based gradient computation in an inverse problem for a fractionally damped wave equation. - Ronghua Xu, Yu Chen:
Fed-DDM: A Federated Ledgers based Framework for Hierarchical Decentralized Data Marketplaces. - Genming Bai
, Ujjwal Koley, Siddhartha Mishra, Roberto Molinaro:
Physics Informed Neural Networks (PINNs)for approximating nonlinear dispersive PDEs. - Francesc Wilhelmi, Lorenza Giupponi:
Discrete-Time Analysis of Wireless Blockchain Networks. - Daniel Coquelin, Charlotte Debus
, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit:
Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO). - Andrei Manolache, Florin Brad, Elena Burceanu:
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers. - Philip Naumann, Eirini Ntoutsi:
Consequence-aware Sequential Counterfactual Generation. - Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, Mayank Jobanputra, Raghavan AK, Ajitesh Sharma, Sujit Sahoo, Harshita Diddee, Mahalakshmi J, Divyanshu Kakwani, Navneet Kumar, Aswin Pradeep, Deepak Kumar, Vivek Raghavan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh Shantadevi Khapra:
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages. - Giuseppe De Nicolao, Marta Colaneri, Alessandro Di Filippo, Franco Blanchini, Paolo Bolzern, Patrizio Colaneri, Giulia Giordano, Raffaele Bruno:
Preemptive periodic epidemic control reduces life and healthcare system costs without aggravation of social and economic losses. - Danilo Gligoroski:
Entropoid Based Cryptography. - Shrenik Zinage, Abhilash Somayajula:
Deep Reinforcement Learning Based Controller for Active Heave Compensation. - Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang:
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging. - Kamil Rosiak:
Extractive Multi Product-Line Engineering. - Chieh-Yang Huang, Ting-Hao Kenneth Huang:
Semantic Frame Forecast. - Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi:
Understanding Overparameterization in Generative Adversarial Networks. - Minghan Li, Shuai Li, Lida Li, Lei Zhang:
Spatial Feature Calibration and Temporal Fusion for Effective One-stage Video Instance Segmentation. - Chen Cai, Nikolaos Vlassis, Lucas Magee, Ran Ma, Zeyu Xiong, Bahador Bahmani, Teng-Fong Wong, Yusu Wang, WaiChing Sun:
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph. - Daan Klijn, A. E. Eiben:
A coevolutionary approach to deep multi-agent reinforcement learning. - Ramon Alfonso Villa Cox, Helen Shuxuan Zeng, Ashiqur R. KhudaBukhsh, Kathleen M. Carley:
Exploring Polarization of Users Behavior on Twitter During the 2019 South American Protests. - Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi:
An Efficient Algorithm for Deep Stochastic Contextual Bandits. - Shaohui Liu, Hao Zhu, Vassilis Kekatos:
A Dynamic Response Recovery Framework Using Ambient Synchrophasor Data. - Alem Fitwi, Yu Chen:
Secure and Privacy-Preserving Stored Surveillance Video Sharing atop Permissioned Blockchain. - Xinqi Zhu
, Chang Xu, Dacheng Tao:
Where and What? Examining Interpretable Disentangled Representations. - Pei Wang, Yijun Li, Nuno Vasconcelos:
Rethinking and Improving the Robustness of Image Style Transfer. - Mario Alejandro Hevia Fajardo
, Dirk Sudholt:
Self-Adjusting Population Sizes for Non-Elitist Evolutionary Algorithms: Why Success Rates Matter. - Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Yehia Massoud:
Towards Collaborative Mobile Crowdsourcing. - Maciej Skorski:
Confidence-Optimal Random Embeddings. - Philip J. Ball, Cong Lu, Jack Parker-Holder, Stephen J. Roberts:
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment. - Cheuk Ting Li:
The Undecidability of Conditional Affine Information Inequalities and Conditional Independence Implication with a Binary Constraint. - Zhongkai Shangguan, Zihe Zheng, Jiebo Luo:
What Kind of Person Wins the Turing Award? - Hennes Hajduk, Andreas Rupp, Dmitri Kuzmin:
Analysis of algebraic flux correction for semi-discrete advection problems. - Daniel Hsu, Ziwei Ji, Matus Telgarsky, Lan Wang:
Generalization bounds via distillation. - Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke
, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein:
Common Limitations of Image Processing Metrics: A Picture Story. - Jordan J. Bird, Chloe M. Barnes, Luis J. Manso, Anikó Ekárt, Diego R. Faria:
Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation. - Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly. - Majid Majidi, Deepan Muthirayan, Masood Parvania, Pramod P. Khargonekar:
Dynamic Matching Markets in Power Grid: Concepts and Solution using Deep Reinforcement Learning. - Jiyang Tang, Ming Li:
End-to-End Mandarin Tone Classification with Short Term Context Information. - Fausto Giunchiglia, Jahna Otterbacher, Styliani Kleanthous, Khuyagbaatar Batsuren, Veronika Bogina, Tsvi Kuflik, Avital Shulner-Tal:
Towards Algorithmic Transparency: A Diversity Perspective. - Lars Klitzke, Kay Gimm, Carsten Koch, Frank Köster:
Unsupervised Lane-Change Identification for On-Ramp Merge Analysis in Naturalistic Driving Data. - Xuancheng Zhang, Yutong Feng, Siqi Li, Changqing Zou, Hai Wan, Xibin Zhao, Yandong Guo, Yue Gao:
View-Guided Point Cloud Completion. - Wenrui Hao, Chunyue Zheng:
A stochastic homotopy tracking algorithm for parametric systems of nonlinear equations. - Jingcai Guo:
Learning Robust Visual-semantic Mapping for Zero-shot Learning. - Mathis Petrovich, Michael J. Black, Gül Varol:
Action-Conditioned 3D Human Motion Synthesis with Transformer VAE. - Christian Gross, Rolf Krause:
On the Globalization of ASPIN Employing Trust-Region Control Strategies - Convergence Analysis and Numerical Examples. - Iuliia Kotseruba, John K. Tsotsos:
Behavioral Research and Practical Models of Drivers' Attention. - Jamison R. Ebert, Vamsi K. Amalladinne, Stefano Rini, Jean-François Chamberland, Krishna R. Narayanan:
Stochastic Binning and Coded Demixing for Unsourced Random Access. - Paz Fink Shustin, Haim Avron:
Semi-Infinite Linear Regression and Its Applications. - Vilém Zouhar, Michal Novák, Matús Zilinec, Ondrej Bojar, Mateo Obregón, Robin L. Hill, Frédéric Blain
, Marina Fomicheva, Lucia Specia, Lisa Yankovskaya:
Backtranslation Feedback Improves User Confidence in MT, Not Quality. - Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath:
Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices. - Tianyi Zhang, Tatsunori Hashimoto:
On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies. - Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme:
Joint Universal Syntactic and Semantic Parsing. - Thamme Gowda, Weiqiu You, Constantine Lignos, Jonathan May:
Macro-Average: Rare Types Are Important Too. - Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Anima Anandkumar, Sanja Fidler, José M. Álvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. - Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen, Jan P. Allebach:
Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis. - Ali Hassani, Steven Walton, Nikhil Shah, Abulikemu Abuduweili, Jiachen Li, Humphrey Shi:
Escaping the Big Data Paradigm with Compact Transformers. - Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory S. Chirikjian, Luc Van Gool:
Towards Efficient Graph Convolutional Networks for Point Cloud Handling. - Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Luc Van Gool:
LocalViT: Bringing Locality to Vision Transformers. - Bereket Abera Yilma, Hervé Panetto, Yannick Naudet:
Systemic formalisation of Cyber-Physical-Social System (CPSS): A systematic literature review. - Xueguang Ma, Kai Sun, Ronak Pradeep, Jimmy Lin:
A Replication Study of Dense Passage Retriever. - Martha Dais Ferreira, Michal Malyska, Nicola Sahar, Riccardo Miotto, Fernando V. Paulovich, Evangelos E. Milios:
Active learning for medical code assignment. - Nitish Maharjan, Abeer Alsadoon, P. W. C. Prasad, Salma Abdullah, Tarik A. Rashid:
A Novel Visualization System of Using Augmented Reality in Knee Replacement Surgery: Enhanced Bidirectional Maximum Correntropy Algorithm. - Tom Titcombe, Adam J. Hall, Pavlos Papadopoulos, Daniele Romanini:
Practical Defences Against Model Inversion Attacks for Split Neural Networks. - Sagar Chhetri, Abeer Alsadoon, Thair Al-Dala'in, P. W. C. Prasad, Tarik A. Rashid, Angelika Maag:
Deep Learning for Vision-Based Fall Detection System: Enhanced Optical Dynamic Flow. - Giorgos Tziafas, Konstantinos Kogkalidis, Tommaso Caselli:
Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble. - Georgios Kampanos, Siamak F. Shahandashti:
Accept All: The Landscape of Cookie Banners in Greece and the UK. - Sujeong Cha, Wangrui Hou, Hyun Jung, My Phung, Michael Picheny, Hong-Kwang Kuo, Samuel Thomas, Edmilson da Silva Morais:
Speak or Chat with Me: End-to-End Spoken Language Understanding System with Flexible Inputs. - Felermino D. M. A. Ali, Andrew Caines, Jaimito L. A. Malavi:
Towards a parallel corpus of Portuguese and the Bantu language Emakhuwa of Mozambique. - Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Narendra Chaudhary, Abhisek Kundu, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Barukh Ziv, Alexander Heinecke:
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads. - Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan:
Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure. - Amirhossein Pourdadashnia
, Mohammad Farhadi-Kangarlu, Milad Sadoughi:
Staircase Selective Harmonic Elimination in Multilevel Inverters to Achieve Wide Output Voltage Range. - Dian Yu, Luheng He, Yuan Zhang, Xinya Du, Panupong Pasupat, Qi Li:
Few-shot Intent Classification and Slot Filling with Retrieved Examples. - Fei Lu, Hyeonwoo Yu, Jean Oh:
Domain Adaptive Monocular Depth Estimation With Semantic Information. - Hrishav Bakul Barua, Kartick Chandra Mondal:
Cloud Big Data Mining and Analytics: Bringing Greenness and Acceleration in the Cloud. - Ashwin Devaraj, Iain James Marshall, Byron C. Wallace, Junyi Jessy Li:
Paragraph-level Simplification of Medical Texts. - Haim Kaplan, David Naori, Danny Raz:
Online Weighted Bipartite Matching with a Sample. - Hrishav Bakul Barua:
Towards a Next Generation Computing Paradigm: Approximate Computing in Robotics Systems and Environment-Experimentation, Case Study and Practical Implications. - Idit Diamant, Oranit Dror, Hai Victor Habi, Arnon Netzer:
Multi-View Image-to-Image Translation Supervised by 3D Pose. - Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran:
Censored Semi-Bandits for Resource Allocation. - Nathan Heavner, Francisco D. Igual, Gregorio Quintana-Ortí, Per-Gunnar Martinsson:
Efficient algorithms for computing a rank-revealing UTV factorization on parallel computing architectures. - Zhifu Gao, Yiwu Yao, Shiliang Zhang, Jun Yang, Ming Lei, Ian McLoughlin:
Extremely Low Footprint End-to-End ASR System for Smart Device. - Kenji Kawaguchi, Qingyun Sun:
A Recipe for Global Convergence Guarantee in Deep Neural Networks. - Mobarakol Islam, Ben Glocker:
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations. - David Radu, Antoine Dubois, Mathias Berger, Damien Ernst:
Model Reduction in Capacity Expansion Planning Problems via Renewable Generation Site Selection. - Giovanni Gabbolini, Edoardo D'Amico, Cesare Bernardis, Paolo Cremonesi:
On the instability of embeddings for recommender systems: the case of Matrix Factorization. - Sarik Ghazarian, Zixi Liu, Akash SM, Ralph M. Weischedel, Aram Galstyan, Nanyun Peng:
Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation. - Dongsheng An, Na Lei, Xianfeng Gu:
Efficient Optimal Transport Algorithm by Accelerated Gradient descent. - Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Does My Representation Capture X? Probe-Ably. - Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis:
A Backdoor Attack against 3D Point Cloud Classifiers. - Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, André Freitas, Tatiana Kovacikova, Ghadir Pourhashem, Yannick Cornet:
What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing. - Lu An, Jie Duan, Mo-Yuen Chow, Alexandra Duel-Hallen:
A Distributed and Resilient Bargaining Game for Weather-Predictive Microgrid Energy Cooperation. - João Paulo Lima, Rafael Roberto, Lucas Silva Figueiredo, Francisco Simões, Veronica Teichrieb:
Generalizable Multi-Camera 3D Pedestrian Detection. - Huseyin Tunc, Murat Sari:
A New Implicit-Explicit Local Method to Capture Stiff Behavior with COVID-19 Outbreak Application. - Sansit Patnaik, Sai Sidhardh, Fabio Semperlotti:
Displacement-Driven Approach to Nonlocal Elasticity. - Bailin Wang, Mirella Lapata, Ivan Titov:
Learning from Executions for Semantic Parsing. - Derek Gloudemans
, Daniel B. Work:
Localization-Based Tracking. - Shuoyang Ding, Philipp Koehn:
Evaluating Saliency Methods for Neural Language Models. - Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong:
Learning to Synthesize Data for Semantic Parsing. - P. G. Madhavan:
Evidence-based Prescriptive Analytics, CAUSAL Digital Twin and a Learning Estimation Algorithm. - Paul F. Fischer, Stefan Kerkemeier, Misun Min, Yu-Hsiang Lan, Malachi Phillips, Thilina Rathnayake, Elia Merzari, Ananias Tomboulides, Ali Karakus, Noel Chalmers, Tim Warburton
:
NekRS, a GPU-Accelerated Spectral Element Navier-Stokes Solver. - Gabriel Suarez, Juan Raful, María A. Luque, Carlos F. Valencia, Alejandro Correa Bahnsen:
Enhancing User' s Income Estimation with Super-App Alternative Data. - Roshanak Mirzaee, Hossein Rajaby Faghihi
, Qiang Ning, Parisa Kordjamshidi:
SpartQA: : A Textual Question Answering Benchmark for Spatial Reasoning. - Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler:
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. - Alireza Ramezani, Pravin Dangol, Eric Sihite, Andrew Lessieur, Peter Kelly
:
Generative Design of NU's Husky Carbon, A Morpho-Functional, Legged Robot. - Tara Safavi, Danai Koutra:
Relational world knowledge representation in contextual language models: A review. - Rohit Khurana, Aurel Coza:
Remote Recording of Emotional and Activity Data: A Methodological Study. - Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar, Chris Callison-Burch:
Visual Goal-Step Inference using wikiHow. - Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi:
Targeted Adversarial Training for Natural Language Understanding. - Zhong Zhou, Alex Waibel:
Family of Origin and Family of Choice: Massively Parallel Lexiconized Iterative Pretraining for Severely Low Resource Machine Translation. - Shashank Motepalli, Hans-Arno Jacobsen:
Reward Mechanism for Blockchains Using Evolutionary Game Theory. - Robert X. D. Hawkins, Michael Franke, Michael C. Frank, Kenny Smith, Thomas L. Griffiths, Noah D. Goodman:
From partners to populations: A hierarchical Bayesian account of coordination and convention. - Qing Lian, Botao Ye, Ruijia Xu, Weilong Yao, Tong Zhang:
Geometry-aware data augmentation for monocular 3D object detection. - Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine:
RECON: Rapid Exploration for Open-World Navigation with Latent Goal Models. - Angus Lamb, Evgeny Saveliev, Yingzhen Li, Sebastian Tschiatschek, Camilla Longden, Simon Woodhead, José Miguel Hernández-Lobato, Richard E. Turner, Pashmina Cameron, Cheng Zhang:
Contextual HyperNetworks for Novel Feature Adaptation. - Mohammad Abdul Hadi, Fatemeh H. Fard:
Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews. - Angelika Romanou, Panayiotis Smeros, Karl Aberer:
On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs. - Michael V. Klibanov, Loc H. Nguyen, Hung V. Tran:
Numerical viscosity solutions to Hamilton-Jacobi equations via a Carleman estimate and the convexification method. - Marc B. Rosen, James Parker, Alex J. Malozemoff:
Balboa: Bobbing and Weaving around Network Censorship. - Matt Calder:
Gradient Kernel Regression. - Yijun Dong, Per-Gunnar Martinsson:
Simpler is better: A comparative study of randomized algorithms for computing the CUR decomposition. - James Martens:
On the validity of kernel approximations for orthogonally-initialized neural networks. - Washington Henrique de Carvalho Almeida:
A Model using agile methodologies for defining metrics to be used by the Public Sector in Brazil to set remuneration for outsourced software development. - Fajri Koto, Jey Han Lau, Timothy Baldwin:
Discourse Probing of Pretrained Language Models. - Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III:
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. - Xingjian Zhen, Rudrasis Chakraborty, Vikas Singh:
Simpler Certified Radius Maximization by Propagating Covariances. - Hideaki Hata, Jin L. C. Guo, Raula Gaikovina Kula, Christoph Treude
:
Science-Software Linkage: The Challenges of Traceability between Scientific Knowledge and Software Artifacts. - Grace Luo, Trevor Darrell, Anna Rohrbach:
NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media. - Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos:
IMAGINE: Image Synthesis by Image-Guided Model Inversion. - Jack Henderson, Mohammad Zamani, Robert E. Mahony, Jochen Trumpf:
Inertial Collaborative Localisation for Autonomous Vehicles using a Minimum Energy Filter. - Shenglong Hu:
Nondegeneracy of eigenvectors and singular vector tuples of tensors. - Wenqi Huang, Sen Jia, Ziwen Ke, Zhuoxu Cui, Jing Cheng, Yanjie Zhu, Dong Liang:
SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging. - Haotian Liu, Wenchuan Wu:
Bi-level Off-policy Reinforcement Learning for Volt/VAR Control Involving Continuous and Discrete Devices. - Yichu Zhou, Vivek Srikumar:
DirectProbe: Studying Representations without Classifiers. - Yang Li, Di Wang, José M. F. Moura:
GSA-Forecaster: Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention. - Rohitash Chandra, Mahir Jain, Manavendra Maharana, Pavel N. Krivitsky:
Revisiting Bayesian Autoencoders with MCMC. - Bin Liao, Jinlong Hu:
MESD: Exploring Optical Flow Assessment on Edge of Motion Objects with Motion Edge Structure Difference. - Sha Li, Heng Ji, Jiawei Han:
Document-Level Event Argument Extraction by Conditional Generation. - Xinyi Zhang, Chengfang Fang, Jie Shi:
Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack. - Darshit Mehta
, Kenji Aono, Shantanu Chakrabartty:
An Adaptive Synaptic Array using Fowler-Nordheim Dynamic Analog Memory. - Brendan Chambers, James Evans:
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders. - Pablo Moscato, Hugh Craig, Gabriel Egan, Mohammad Nazmul Haque, Kevin Huang, Julia Sloan, Jon Corrales de Oliveira:
Multiple regression techniques for modeling dates of first performances of Shakespeare-era plays. - Joanne Taery Kim, Mikel Landajuela, Brenden K. Petersen:
Distilling Wikipedia mathematical knowledge into neural network models. - Taeyoung Kim, Luiz Felipe Vecchietti, Kyujin Choi, Sanem Sariel, Dongsoo Har:
Two-stage training algorithm for AI robot soccer. - Shubham Shrivastava:
VR3Dense: Voxel Representation Learning for 3D Object Detection and Monocular Dense Depth Reconstruction. - Yuqing Du, Nicholas J. Hetherington, Chu Lip Oon, Wesley P. Chan, Camilo Perez Quintero, Elizabeth A. Croft, H. F. Machiel Van der Loos:
Group Surfing: A Pedestrian-Based Approach to Sidewalk Robot Navigation. - Ming Zhong, Da Yin, Tao Yu
, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev:
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. - Kaitai Zhang, Bin Wang, Hong-Shuo Chen, Ye Wang, Shiyu Mou, C.-C. Jay Kuo:
Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations. - Max Revay, Ruigang Wang, Ian R. Manchester:
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. - Mohit Chandra, Dheeraj Reddy Pailla, Himanshu Bhatia, AadilMehdi J. Sanchawala, Manish Gupta, Manish Shrivastava, Ponnurangam Kumaraguru:
"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning. - Wanjing Ma, Jinjue Li, Chunhui Yu:
Shared-phase-dedicated-lane based intersection control with mixed traffic of human-driven vehicles and connected and automated vehicles. - Yunsheng Tian, Mina Konakovic-Lukovic, Timothy Erps, Michael Foshey, Wojciech Matusik:
AutoOED: Automated Optimal Experiment Design Platform. - Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu:
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning. - Kyeongpil Kang, Kyohoon Jin, Soyoung Yang, Sujin Jang, Jaegul Choo, Youngbin Kim:
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation. - Jae-Won Cho, Dong-Jin Kim, Jinsoo Choi, Yunjae Jung, In So Kweon:
Dealing with Missing Modalities in the Visual Question Answer-Difference Prediction Task through Knowledge Distillation. - Yongri Piao, Yukun Zhang, Miao Zhang, Xinxin Ji:
Dynamic Fusion Network For Light Field Depth Estimation. - Shusheng Yang, Yuxin Fang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu:
Crossover Learning for Fast Online Video Instance Segmentation. - Yongri Piao, Xinxin Ji, Miao Zhang, Yukun Zhang:
Learning Multi-modal Information for Robust Light Field Depth Estimation. - Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam, Tianqing Zhu, Jun Zhao:
Fair and Differentially Private Distributed Frequency Estimation. - Wang Liu, Ying Cui, Lianghui Ding, Jun Sun, Yangyang Liu, Yang Li, Li Zhang:
Joint Optimization of Preamble Selection and Access Barring for MTC with Correlated Device Activities. - Mohamed Adel Musallam, Kassem Al Ismaeil, Oyebade K. Oyedotun, Marcos Damian Perez, Michel Poucet, Djamila Aouada
:
SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment. - Rachael Zehrung, Lily Huang, Bongshin Lee, Eun Kyoung Choe:
Investigating Opportunities to Support Kids' Agency and Well-being: A Review of Kids' Wearables. - Nina Hosseini-Kivanani, Roberto Gretter, Marco Matassoni, Giuseppe Daniele Falavigna:
Experiments of ASR-based mispronunciation detection for children and adult English learners. - Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral:
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images. - Mehdi Djellabi, Bertrand Jouve:
Clustering of temporal nodes profiles in dynamic networks of contacts. - Jason Crampton, Gregory Z. Gutin, Diptapriyo Majumdar
:
Towards Better Understanding of User Authorization Query Problem via Multi-variable Complexity Analysis. - Marcel C. Bühler, Abhimitra Meka, Gengyan Li, Thabo Beeler, Otmar Hilliges:
VariTex: Variational Neural Face Textures. - Evaggelia Pitoura, Kostas Stefanidis, Georgia Koutrika:
Fairness in Rankings and Recommendations: An Overview. - Luca Pajola, Mauro Conti:
Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack. - Johannes C. Myburgh, Coenraad Mouton, Marelie H. Davel:
Tracking translation invariance in CNNs. - Pieter D. Boom, Ashley Seepujak, Odysseas Kosmas, Lee Margetts, Andrey P. Jivkov:
Parallelized Discrete Exterior Calculus for Three-Dimensional Elliptic Problems. - Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, Matteo Negri, Marco Turchi:
Gender Bias in Machine Translation. - Ziang Zhou, Yanze Xu, Shilei Zhang, Ming Li:
Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Lexical Information Fusion. - Zhiguo Ding, Robert Schober, H. Vincent Poor:
No-Pain No-Gain: DRL Assisted Optimization in Energy-Constrained CR-NOMA Networks. - Zongshen Mu, Siliang Tang, Jie Tan, Qiang Yu, Yueting Zhuang:
Disentangled Motif-aware Graph Learning for Phrase Grounding. - Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak:
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport. - Chencheng Ye, Ying Cui:
Sample-based and Feature-based Federated Learning via Mini-batch SSCA. - Georg Hess, William Ljungbergh:
Deep Deterministic Path Following. - Xingyu Zhao, Wei Huang, Sven Schewe, Yi Dong, Xiaowei Huang:
Detecting Operational Adversarial Examples for Reliable Deep Learning. - Guillaume Geoffroy:
Extensional Denotational Semantics of Higher-Order Probabilistic Programs, Beyond the Discrete Case. - Chris Lamb, Stefano Zacchiroli:
Reproducible Builds: Increasing the Integrity of Software Supply Chains. - Sho Takase, Shun Kiyono:
Lessons on Parameter Sharing across Layers in Transformers. - Yuzhu Mao, Zihao Zhao, Guangfeng Yan, Yang Liu, Tian Lan, Linqi Song, Wenbo Ding:
Communication Efficient Federated Learning with Adaptive Quantization. - Daniel Gerth, Bernd Hofmann, Christopher Hofmann, Stefan Kindermann:
The Hausdorff Moment Problem in the light of ill-posedness of type I. - Aleksandra Franz, Barbara Solenthaler, Nils Thuerey:
Global Transport for Fluid Reconstruction with Learned Self-Supervision. - Richard Berntsson-Svensson, Richard Torkar:
Not All Requirements Prioritization Criteria Are Equal at All Times: A Quantitative Analysis. - Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant:
MultiModalQA: Complex Question Answering over Text, Tables and Images. - Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas:
Conclusive Local Interpretation Rules for Random Forests. - Liang Peng, Fei Liu, Senbo Yan, Xiaofei He, Deng Cai:
OCM3D: Object-Centric Monocular 3D Object Detection. - Vincent Micheli, Quentin Heinrich, François Fleuret, Wacim Belblidia:
Structural analysis of an all-purpose question answering model. - Yingfang Yuan, Wenjun Wang, Wei Pang:
Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction. - Emanuela Boros, Antoine Doucet:
Transformer-based Methods for Recognizing Ultra Fine-grained Entities (RUFES). - Anant Shah, Arun Rajkumar:
Sequential Ski Rental Problem. - Alessandro Erba, Anne Müller, Nils Ole Tippenhauer:
Practical Pitfalls for Security in OPC UA. - Viet-Man Le:
Group Recommendation Techniques for Feature Modeling and Configuration. - Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas:
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information. - Zahra Gharaee, Peter Gärdenfors, Magnus Johnsson:
First and Second Order Dynamics in a Hierarchical SOM system for Action Recognition. - Marco Virgolin, Andrea De Lorenzo, Francesca Randone, Eric Medvet, Mattias Wahde:
Model Learning with Personalized Interpretability Estimation (ML-PIE). - Razvan-Alexandru Smadu, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense. - Jakob Bozic, Domen Tabernik, Danijel Skocaj:
Mixed supervision for surface-defect detection: from weakly to fully supervised learning. - Conglong Li, Ammar Ahmad Awan, Hanlin Tang, Samyam Rajbhandari, Yuxiong He:
1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB's Convergence Speed. - Zahra Gharaee, Peter Gärdenfors, Magnus Johnsson:
Online Recognition of Actions Involving Objects. - Shijun Wang, Damian Borth:
NoiseVC: Towards High Quality Zero-Shot Voice Conversion. - Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu:
An Adversarial Imitation Click Model for Information Retrieval. - Yanpei Huang, Jonathan Eden, Ekaterina Ivanova, Soo Jay Phee, Etienne Burdet:
Trimanipulation: Evaluation of human performance in a 3-handed coordination task. - Kirill Ivanov, Rüdiger L. Urbanke:
On the efficiency of polar-like decoding for symmetric codes. - Dylan Bellier, Massimo Benerecetti, Dario Della Monica, Fabio Mogavero:
Good-for-Game QPTL: An Alternating Hodges Semantics. - Dwarikanath Mahapatra:
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation. - Ignacio Alvarado, Pablo Krupa, Daniel Limón, Teodoro Alamo:
Tractable robust MPC design based on nominal predictions. - Yan Zhao, Weicong Chen, Xu Tan, Kai Huang, Jin Xu, Changhu Wang, Jihong Zhu:
Improving Long-Tailed Classification from Instance Level. - Yangyang Li, Yipeng Ji, Shaoning Li, Shulong He, Yinhao Cao, Xiong Li, Jun Shi, Yangchao Yang, Yifeng Liu:
Relevance-Aware Anomalous Users Detection in Social Network via Graph Neural Network. - Daniel Kloeser, Juri Martschin, Thomas Meurer, A. Erman Tekkaya:
Reduced order modelling for spatial-temporal temperature and property estimation in a multi-stage hot sheet metal forming process. - Lars Grüne, Thomas Meurer:
Finite-dimensional output stabilization of linear diffusion-reaction systems - a small-gain approach. - Wei Zhou, Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney:
Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept. - Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution. - Bowen Cheng, Lu Sheng, Shaoshuai Shi, Ming Yang, Dong Xu:
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds. - Gianluca Fabiani
, Francesco Calabrò, Lucia Russo, Constantinos I. Siettos:
Numerical Solution and Bifurcation Analysis of Nonlinear Partial Differential Equations with Extreme Learning Machines. - Ali Tousi, Haedong Jeong, Jiyeon Han, Hwanil Choi, Jaesik Choi:
Automatic Correction of Internal Units in Generative Neural Networks. - Xin Zhang
, Xianghao Yu, Shenghui Song, Khaled B. Letaief:
Large-scale IRS-aided MIMO over Double-scattering Channel: An Asymptotic Approach. - Sven Y. Neuteboom, Maartje M. A. de Graaf:
Cobbler Stick With Your Reads: People's Perceptions of Gendered Robots Performing Gender Stereotypical Tasks. - Mor Geva, Uri Katz, Aviv Ben-Arie, Jonathan Berant:
What's in your Head? Emergent Behaviour in Multi-Task Transformer Models. - Shuping Dang, Chuanting Zhang
, Basem Shihada
, Mohamed-Slim Alouini
:
Big Communications: Connect the Unconnected. - I. S. W. B. Prasetya, Samira Shirzadehhajimahmood, Saba Gholizadeh Ansari, Pedro M. Fernandes, Rui Prada:
An Agent-based Architecture for AI-Enhanced Automated Testing for XR Systems, a Short Paper. - Vincent Cohen-Addad, David Saulpic, Chris Schwiegelshohn:
A New Coreset Framework for Clustering. - Nis Meinert
, Alexander Lavin:
Multivariate Deep Evidential Regression. - Dominik Meißner, Frank Kargl, Benjamin Erb:
WAIT: Protecting the Integrity of Web Applications with Binary-Equivalent Transparency. - Chao Xu, Yiping Xie, Xijun Wang, Howard H. Yang, Dusit Niyato, Tony Q. S. Quek:
Optimizing the Long-Term Average Reward for Continuing MDPs: A Technical Report. - Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj:
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning. - Reza Nadri, Gema Rodríguez-Pérez, Meiyappan Nagappan:
On the Relationship Between the Developer's Perceptible Race and Ethnicity and the Evaluation of Contributions in OSS. - Daniel Jiang, Stewart Worrall, Mao Shan:
What is the appropriate speed for an autonomous vehicle? Designing a Pedestrian Aware Contextual Speed Controller. - Ajian Liu, Chenxu Zhao, Zitong Yu, Jun Wan, Anyang Su, Xing Liu, Zichang Tan, Sergio Escalera, Junliang Xing, Yanyan Liang, Guodong Guo, Zhen Lei, Stan Z. Li, Du Zhang:
Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection. - Nikolaos Halidias, Ioannis S. Stamatiou:
Lamperti Semi-Discrete method. - Karim Huesmann, Luis Garcia Rodriguez, Lars Linsen, Benjamin Risse:
The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks. - Matteo Hessel, Ivo Danihelka, Fabio Viola, Arthur Guez, Simon Schmitt, Laurent Sifre, Theophane Weber, David Silver, Hado van Hasselt:
Muesli: Combining Improvements in Policy Optimization. - Yida Wang, Shihao Yan, Weiwei Yang, Caijun Zhong, Derrick Wing Kwan Ng:
Probabilistic Accumulate-then-Transmit in Wireless-Powered Covert Communications. - Mukelabai Mukelabai, Stefan Strüder, Daniel Strüber, Thorsten Berger:
Feature-Oriented Defect Prediction: Scenarios, Metrics, and Classifiers. - Xudong Xu, Hang Zhou
, Ziwei Liu, Bo Dai, Xiaogang Wang, Dahua Lin:
Visually Informed Binaural Audio Generation without Binaural Audios. - Takato Okudo, Seiji Yamada:
Reward Shaping with Dynamic Trajectory Aggregation. - Jacopo Teneggi, Alexandre Luster, Jeremias Sulam
:
Fast Hierarchical Games for Image Explanations. - Shang Sun, Yunan Zheng, Xuelei Shi, Zhenyu Xu, Yiguang Liu:
PHI-MVS: Plane Hypothesis Inference Multi-view Stereo for Large-Scale Scene Reconstruction. - Oleg Geier, Dominik Herrmann:
The AppChk Crowd-Sourcing Platform: Which third parties are iOS apps talking to? - Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
On the Computational Intelligibility of Boolean Classifiers. - Lingzhi He, Hongguang Zhu, Feng Li, Huihui Bai, Runmin Cong, Chunjie Zhang, Chunyu Lin, Meiqin Liu, Yao Zhao:
Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline. - Daniel Jackson, Valerie Richmond, Mike Wang, Jeff Chow, Uriel Guajardo, Soonho Kong, Sergio Campos, Geoffrey Litt, Nikos Aréchiga:
Certified Control: An Architecture for Verifiable Safety of Autonomous Vehicles. - Andrés García-Silva, Cristian Berrio, José Manuél Gómez-Pérez:
Understanding Transformers for Bot Detection in Twitter. - Chengjun Guo, Ying Cui, Zhi Liu, Derrick Wing Kwan Ng:
Optimal Transmission of Multi-Quality Tiled 360 VR Video in MIMO-OFDMA Systems. - Tim Jahn:
Optimal Convergence of the Discrepancy Principle for polynomially and exponentially ill-posed Operators under White Noise. - Romain Raveaux:
On the unification of the graph edit distance and graph matching problems. - Salman Mohebi, Foivos Michelinakis, Ahmed Elmokashfi, Ole Grøndalen, Kashif Mahmood, Andrea Zanella:
Sectors, Beams and Environmental Impact on Commercial 5G mmWave Cell Coverage: an Empirical Study. - Kang Shen, Fan Yang, Xinyou Ke, Cheng Zhang, Chris Yuan:
Numerical Energy Analysis of In-wheel Motor Driven Autonomous Electric Vehicles. - Bruno Lecouat, Jean Ponce, Julien Mairal:
Aliasing is your Ally: End-to-End Super-Resolution from Raw Image Bursts. - Garnik Vareldzhan, Kirill V. Yurkov, Konstantin Ushenin:
Anomaly Detection in Image Datasets Using Convolutional Neural Networks, Center Loss, and Mahalanobis Distance. - Andrés García-Silva, Ronald Denaux, José Manuél Gómez-Pérez:
On the Impact of Knowledge-based Linguistic Annotations in the Quality of Scientific Embeddings. - Joseph Cheriyan, R. Ravi, Martin Skutella:
A simple proof of the Moore-Hodgson Algorithm for minimizing the number of late jobs. - Zhe Zhou, Bizhao Shi
, Zhe Zhang, Yijin Guan, Guangyu Sun, Guojie Luo:
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices. - Daniel Organisciak, Brian K. S. Isaac-Medina, Matthew Poyser, Shanfeng Hu, Toby P. Breckon, Hubert P. H. Shum:
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification. - Pedro M. Fernandes, Manuel Lopes, Rui Prada:
Agents for Automated User Experience Testing. - Tobias Drey, Michael Rietzler, Enrico Rukzio:
Questionnaires and Qualitative Feedback Methods to Measure User Experience in Mixed Reality. - Vorapong Suppakitpaisarn:
Tight Lower Bound for Average Number of Terms in Optimal Double-base Number System. - Daniel G. Waddington, Clem Dickey, Luna Xu, Moshik Hershcovitch, Sangeetha Seshadri:
A High-Performance Persistent Memory Key-Value Store with Near-Memory Compute. - Xinyan Zhao, Haibo Ding, Zhe Feng:
GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition. - Jelena Banjac, Laurène Donati, Michaël Defferrard:
Learning to recover orientations from projections in single-particle cryo-EM. - Daniel Fernández-González, Carlos Gómez-Rodríguez:
Reducing Discontinuous to Continuous Parsing with Pointer Network Reordering. - Kaiyuan Xu, Christos G. Cassandras, Wei Xiao:
Decentralized Time and Energy-Optimal Control of Connected and Automated Vehicles in a Roundabout. - Wenzheng Zhang, Karl Stratos:
Understanding Hard Negatives in Noise Contrastive Estimation. - Xueyuan Wang, Mustafa Cenk Gursoy:
Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints. - Eric Ngondiep:
A Two-Level Fourth-Order Approach For Time-Fractional Convection-Diffusion-Reaction Equation With Variable Coefficients. - Greg Chance, Abanoub Ghobrial, Kevin McAreavey, Séverin Lemaignan, Tony Pipe, Kerstin Eder:
On Determinism of Game Engines used for Simulation-based Autonomous Vehicle Verification. - Matthew Nice, Safwan Elmadani, Rahul Bhadani, Matt Bunting, Jonathan Sprinkle, Daniel B. Work:
CAN Coach: Vehicular Control through Human Cyber-Physical Systems. - Emilio Calvanese Strinati, George C. Alexandropoulos, Vincenzo Sciancalepore, Marco Di Renzo, Henk Wymeersch, Dinh Thuy Phan Huy, Maurizio Crozzoli, Raffaele D'Errico, Elisabeth de Carvalho, Petar Popovski, Paolo Di Lorenzo, Luca Bastianelli, Mathieu Belouar, Julien-Etienne Mascolo, Gabriele Gradoni, Sendy Phang, Geoffroy Lerosey, Benoît Denis:
Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective. - Amit Joshi, Hamed Kebriaei, Valerio Mariani, Luigi Glielmo:
A Sufficient Condition to Guarantee Non-Simultaneous Charging and Discharging of Household Battery Energy Storage. - Genta Indra Winata:
Multilingual Transfer Learning for Code-Switched Language and Speech Neural Modeling. - Enes Avcu, Olivia Newman, David Gow:
A Tale of Two Lexica Testing Computational Hypotheses with Deep Convolutional Neural Networks. - Matteo Hessel, Manuel Kroiss, Aidan Clark, Iurii Kemaev, John Quan, Thomas Keck, Fabio Viola, Hado van Hasselt:
Podracer architectures for scalable Reinforcement Learning. - Xin Du, Songtao Tang, Zhihui Lu, Keke Gai, Jie Wu, Patrick C. K. Hung:
Optimal Data Placement for Data-Sharing Scientific Workflows in Heterogeneous Edge-Cloud Computing Environments. - Liang Yan, Tao Zhou:
Stein variational gradient descent with local approximations. - Damu Ding, Marco Savi, Federico Pederzolli, Mauro Campanella, Domenico Siracusa:
In-Network Volumetric DDoS Victim Identification Using Programmable Commodity Switches. - Yihao Liu, Jingwen He, Xiangyu Chen, Zhengwen Zhang, Hengyuan Zhao, Chao Dong, Yu Qiao:
Very Lightweight Photo Retouching Network with Conditional Sequential Modulation. - Halvard Hummel, Magnus Lie Hetland:
Fair Allocation of Conflicting Items. - Liang Yan, Tao Zhou:
An acceleration strategy for randomize-then-optimize sampling via deep neural networks. - Akil Narayan, Liang Yan, Tao Zhou:
Optimal design for kernel interpolation: applications to uncertainty quantification. - Julian Schrittwieser, Thomas Hubert, Amol Mandhane, Mohammadamin Barekatain, Ioannis Antonoglou, David Silver:
Online and Offline Reinforcement Learning by Planning with a Learned Model. - César Quilodrán Casas, Rossella Arcucci, Laetitia Mottet, Yike Guo, Christopher C. Pain:
Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations. - Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Mohammadamin Barekatain, Simon Schmitt, David Silver:
Learning and Planning in Complex Action Spaces. - Keke Zhao, Xing Zhao, Qi Cao, Linjian Mo:
A Non-sequential Approach to Deep User Interest Model for Click-Through Rate Prediction. - Yang Gao, Yi-Fan Li, Yu Lin, Charu C. Aggarwal, Latifur Khan:
SetConv: A New Approach for Learning from Imbalanced Data. - Shiyi Chen, Ziao Wang, Xinni Zhang, Xiaofeng Zhang, Dan Peng:
Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning. - Dan Ley, Umang Bhatt, Adrian Weller:
δ-CLUE: Diverse Sets of Explanations for Uncertainty Estimates. - Rafal L. Górski, Maciej Eder:
Modeling the dynamics of language change: logistic regression, Piotrowski's law, and a handful of examples in Polish. - Tiago Pimentel, Brian Roark, Søren Wichmann, Ryan Cotterell, Damián E. Blasi:
Finding Concept-specific Biases in Form-Meaning Associations. - Giulio Reina, Annalisa Milella, Rocco Galati:
Terrain assessment for precision agriculture using vehicle dynamic modelling. - Emna Ben Yacoub:
List Message Passing Decoding of Non-binary Low-Density Parity-Check Codes. - Ian Berlot-Attwell, Frank Rudzicz:
On the Use of Linguistic Features for the Evaluation of Generative Dialogue Systems. - Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace:
On the Impact of Random Seeds on the Fairness of Clinical Classifiers. - Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss:
Future is not One-dimensional: Graph Modeling based Complex Event Schema Induction for Event Prediction. - James Di, Mingwei Xu, Nikhil Das, Michael C. Yip:
Optimal Multi-Manipulator Arm Placement for Maximal Dexterity during Robotics Surgery. - Runzhou Tao, Yunong Shi, Jianan Yao, John Hui, Frederic T. Chong, Ronghui Gu:
Gleipnir: Toward Practical Error Analysis for Quantum Programs (Extended Version). - Xianjie Gao, Xueguan Song, Maolin Shi, Chao Zhang, Hongwei Zhang:
Real-time Forecast Models for TBM Load Parameters Based on Machine Learning Methods. - Marat V. Burnashev:
On Minimax Detection of Gaussian Stochastic Sequences and Gaussian Stationary Signals. - Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, John Zedlewski, Tim Oates:
Semiring Primitives for Sparse Neighborhood Methods on the GPU. - Vihanga Gamage, Cathy Ennis, Robert J. Ross:
Data-Driven Reinforcement Learning for Virtual Character Animation Control. - Diego Munuera-Merayo:
On Mignotte Secret Sharing Schemes over Gaussian Integers. - Ian Berlot-Attwell:
Neuro-Symbolic VQA: A review from the perspective of AGI desiderata. - Junjie Shi, Jan Duy Thien Pham, Malte Münch, Jan Viktor Hafemeister, Jian-Jia Chen, Kuan-Hsun Chen
:
Supporting Multiprocessor Resource Synchronization Protocols in RTEMS. - Ahmed P. Mohamed, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal:
Knowledge Distillation For Wireless Edge Learning. - Jinho Yi, Aly El Gamal:
Gradient-based Adversarial Deep Modulation Classification with Data-driven Subsampling. - Shanshi Huang, Hongwu Jiang, Shimeng Yu:
Mitigating Adversarial Attack for Compute-in-Memory Accelerator Utilizing On-chip Finetune. - Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec:
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. - Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
EXPLAINABOARD: An Explainable Leaderboard for NLP. - Albert Xu, Eshaan Pathak, Eric Wallace, Suchin Gururangan, Maarten Sap, Dan Klein:
Detoxifying Language Models Risks Marginalizing Minority Voices. - R. Kenny Jones, David Charatan, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie:
ShapeMOD: Macro Operation Discovery for 3D Shape Programs. - Di Wu, Yiren Chen, Liang Ding, Dacheng Tao:
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding. - Gyungin Shin, Weidi Xie, Samuel Albanie:
All you need are a few pixels: semantic segmentation with PixelPick. - Daniel Lichy, Jiaye Wu, Soumyadip Sengupta, David W. Jacobs:
Shape and Material Capture at Home. - Weijian Xu, Yifan Xu, Tyler A. Chang, Zhuowen Tu:
Co-Scale Conv-Attentional Image Transformers. - Aviv Slobodkin, Leshem Choshen, Omri Abend:
Mediators in Determining what Processing BERT Performs First. - Triantafyllos Afouras, Yuki Markus Asano, Francois Fagan, Andrea Vedaldi, Florian Metze:
Self-supervised object detection from audio-visual correspondence. - Ting-I Hsieh, Esther Robb, Hwann-Tzong Chen, Jia-Bin Huang:
DropLoss for Long-Tail Instance Segmentation. - Changqian Yu
, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, Jingdong Wang:
Lite-HRNet: A Lightweight High-Resolution Network. - Bowen Cheng, Omkar Parkhi, Alexander Kirillov:
Pointly-Supervised Instance Segmentation. - Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey:
BARF: Bundle-Adjusting Neural Radiance Fields. - Takato Okudo, Seiji Yamada:
Reward Shaping with Subgoals for Social Navigation. - Takato Okudo, Seiji Yamada:
Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement Learning. - Mario Blaum:
On Generalized Expanded Blaum-Roth Codes. - Julian D. Cortes:
Research on innovation in China and Latin America: Bibliometric insights in the field of business, management and decision sciences. - Julian D. Cortes
, Xiaolei Lin, Xiaolei Xun:
Research on innovation in business and management about China and Latin America: bibliometrics insights using Google Scholar, Dimensions and Microsoft Academic. - Boris Zhestiankin, Maria Ponomareva:
Zhestyatsky at SemEval-2021 Task 2: ReLU over Cosine Similarity for BERT Fine-tuning. - Julian D. Cortes
:
Research on Innovation in China and Latin America: bibliometric insights in business, management, accounting, and decision sciences. - Julia Mendelsohn, Ceren Budak, David Jurgens
:
Modeling Framing in Immigration Discourse on Social Media. - Pieter H. Hartel, Rolf van Wegberg:
Going dark? Analysing the impact of end-to-end encryption on the outcome of Dutch criminal court cases. - Julian D. Cortes
:
Journals Titles and Mission Statements: Lexical structure, diversity and readability. - Huseyin Tunc, Murat Sari:
A spatial local method for solving 2D and 3D advection-diffusion equations. - Alican Mertan, Damien Jade Duff, Gozde Unal:
Single Image Depth Estimation: An Overview. - Hirofumi Inaguma, Tatsuya Kawahara, Shinji Watanabe:
Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation. - Suman Banerjee:
A Co-Operative Game Theoretic Approach for the Budgeted Influence Maximization Problem. - Anoop Cherian, Panagiotis Stanitsas, Jue Wang, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos:
Learning Log-Determinant Divergences for Positive Definite Matrices. - Shweta Dahale, Balasubramaniam Natarajan:
Joint Matrix Completion and Compressed Sensing for State Estimation in Low-observable Distribution System. - Vasanthan Raghavan, Ricardo A. Motos, M. Ali Tassoudji, Yu-Chin Ou, Ozge H. Koymen, Junyi Li:
Mitigating Hand Blockage with Non-Directional Beamforming Codebooks. - Sai Gopal Vennelaganti, Nilanjan Ray Chaudhuri, Ting He, Thomas La Porta:
Topology Estimation Following Islanding and its Impact on Preventive Control of Cascading Failure. - Francisco Valentini, Germán Rosati, Damián E. Blasi, Diego Fernández Slezak, Edgar Altszyler:
On the interpretation and significance of bias metrics in texts: a PMI-based approach. - Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer. - Bita Safaee, Serkan Gugercin:
Data-driven modeling of power networks. - Kiran Garimella, Tim Smith, Rebecca Weiss, Robert West:
Political Polarization in Online News Consumption. - Ling Liu, Mans Hulden:
Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models. - Yi Wang, Stefano Zorzi, Ksenia Bittner:
Machine-learned 3D Building Vectorization from Satellite Imagery. - Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Kuehl, Lucy Lu Wang:
MS2: Multi-Document Summarization of Medical Studies. - Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler:
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort. - Ioannis Sakiotis, Kamesh Arumugam, Marc F. Paterno, Desh Ranjan, Balsa Terzic, Mohammad Zubair:
PAGANI: A Parallel Adaptive GPU Algorithm for Numerical. - Beniamino Cappelletti-Montano, Silvia Columbu, Stefano Montaldo, Monica Musio:
Interpreting the outcomes of research assessments: a geometrical approach. - Mohammadreza Begli, Farnaz Derakhshan:
A multiagent based framework secured with layered SVM-based IDS for remote healthcare systems. - Lokesh Das, Myounggyu Won:
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning. - Xianbiao Hu, Qing Tang:
Modeling and Development of Operation Guidelines for Leader-Follower Autonomous Truck-Mounted Attenuator Vehicles. - Seppo A. Sierla, Ville Kyrki, Pekka Aarnio, Valeriy Vyatkin:
Automatic Assembly Planning based on Digital Product Descriptions. - Pedro Henrique Suruagy Perrusi, Anna Cazzaniga, Paul Baksic, Eleonora Tagliabue, Elena De Momi, Hadrien Courtecuisse:
Robotic needle steering in deformable tissues with extreme learning machines. - Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi:
"I'm Not Mad": Commonsense Implications of Negation and Contradiction. - S. Kate Devitt, Rachel Horne, Zena Assaad, Ellen Broad, Hanna Kurniawati, Beth Cardier, Andrew Scott, Seth Lazar, Maia Gould, Chelle Adamson, Charles Karl, Frank Schrever, Sue Keay, Kieran Tranter, Evan Shellshear, Dan Hunter, Mark Brady, Tom Putland:
Trust and Safety. - Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Matei Zaharia:
Don't Give Up on Large Optimization Problems; POP Them! - Elijah Robert Bouma-Sims
, Bradley Reaves:
A First Look at Scams on YouTube. - Eunjeong Stella Koh, Shlomo Dubnov:
Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition. - Haonan Yu, Wei Xu, Haichao Zhang:
TASAC: Temporally Abstract Soft Actor-Critic for Continuous Control. - Iyiola E. Olatunji, Jens Rauch, Matthias Katzensteiner, Megha Khosla:
A Review of Anonymization for Healthcare Data. - Madhu Kiran, R. Gnana Praveen, Le Thanh Nguyen-Meidine, Soufiane Belharbi, Louis-Antoine Blais-Morin, Eric Granger:
Holistic Guidance for Occluded Person Re-Identification. - Rafael Ferreira, David Semedo, João Magalhães:
BERT Embeddings Can Track Context in Conversational Search. - Eric Hallman:
A Refined Probabilistic Error Bound for Sums. - Rakhil Immidisetti, Shuowen Hu, Vishal M. Patel:
Simultaneous Face Hallucination and Translation for Thermal to Visible Face Verification using Axial-GAN. - Hamza Khan, Asma Khan, Zainab Khan, Lun Bin Huang, Kun Wang, Lei He:
NPE: An FPGA-based Overlay Processor for Natural Language Processing. - Duotun Wang, Jennifer Healey, Jing Qian, Curtis Wigington, Tong Sun, Huaishu Peng:
Lets Make A Story Measuring MR Child Engagement. - Aleksandar Kircanski, Terence Tarvis:
Coinbugs: Enumerating Common Blockchain Implementation-Level Vulnerabilities. - Jianing Zhou, Hongyu Gong, Suma Bhat:
From Solving a Problem Boldly to Cutting the Gordian Knot: Idiomatic Text Generation. - Andrey Kutuzov, Jeremy Barnes, Erik Velldal, Lilja Øvrelid, Stephan Oepen:
Large-Scale Contextualised Language Modelling for Norwegian. - Vladimir B. Berikov, Alexander Litvinenko:
Solving weakly supervised regression problem using low-rank manifold regularization. - Hugo Alves, Luís Miguel Silva, Rui Marinheiro, José Moura:
PMIPv6 Integrated with MIH for Flow Mobility Management: a Real Testbed with Simultaneous Multi-Access in Heterogeneous Mobile Networks. - Victor S. Bursztyn, Jennifer Healey, Eunyee Koh, Nedim Lipka, Larry Birnbaum:
Developing a Conversational Recommendation System for Navigating Limited Options. - Dominic Widdows, Kristen Howell, Trevor Cohen:
Should Semantic Vector Composition be Explicit? Can it be Linear. - Matthew Zurek, Andreea Bobu, Daniel S. Brown, Anca D. Dragan:
Situational Confidence Assistance for Lifelong Shared Autonomy. - Sreya Francis, Irene Tenison, Irina Rish:
Towards Causal Federated Learning For Enhanced Robustness and Privacy. - Jie Shen, Jiajun Zhou, Yunyi Xie, Shanqing Yu, Qi Xuan:
Identity Inference on Blockchain using Graph Neural Network. - Huthaifa I. Ashqar, Qadri H. Shaheen, Suleiman A. Ashur, Hesham A. Rakha:
Impact of risk factors on work zone crashes using logistic models and Random Forest. - Weihua Li, Yuxuan Hu, Shiqing Wu
, Quan Bai, Edmund M.-K. Lai:
ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks. - Yan Hao Ling, Jonathan Scarlett:
Optimal Rates of Teaching and Learning Under Uncertainty. - Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
Preventing Manipulation Attack in Local Differential Privacy using Verifiable Randomization Mechanism. - Heide Gluesing-Luerssen, Benjamin Jany:
q-Polymatroids and Their Relation to Rank-Metric Codes. - Youngdong Kim, Juseung Yun, Hyounguk Shon, Junmo Kim:
Joint Negative and Positive Learning for Noisy Labels. - Divesh Aggarwal, Yanlin Chen, Rajendra Kumar, Zeyong Li, Noah Stephens-Davidowitz:
Dimension-Preserving Reductions Between SVP and CVP in Different p-Norms. - Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems. - Jiayi Wei, Tongrui Li, Swarat Chaudhuri, Isil Dillig, Joydeep Biswas:
OneVision: Centralized to Distributed Controller Synthesis with Delay Compensation. - Nan Jiang:
A second order ensemble method based on a blended BDF timestepping scheme for time dependent Navier-Stokes equations. - Muhammad Khalifa, Hesham Hassan, Aly Fahmy:
Zero-Resource Multi-Dialectal Arabic Natural Language Understanding. - Yanni Ren, Hangyu Deng, Hao Jiang, Jinglu Hu:
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy. - Babak Maboudi Afkham, Julianne Chung, Matthias Chung:
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks. - Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Federated Generalized Face Presentation Attack Detection. - Yonhon Ng, Pieter van Goor, Robert E. Mahony, Tarek Hamel:
Attitude Observation for Second Order Attitude Kinematics. - Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan:
AR-LSAT: Investigating Analytical Reasoning of Text. - Guanghui Qin, Jason Eisner:
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts. - Jie Huang, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Qixin Sha, Bo He, Guangliang Li:
GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback. - Ye Zheng, Jiahong Wu, Yongqiang Qin, Faen Zhang, Li Cui:
Zero-Shot Instance Segmentation. - Namrata Srivastava, Rajiv Jain, Jennifer Healey, Zoya Bylinskii, Tilman Dingler:
Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews. - Pengfei Huang, Qingzhi Yang:
Newton-based methods for finding the positive ground state of Gross-Pitaevskii equations. - Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans
:
Revisiting the Onsets and Frames Model with Additive Attention. - Huan Zhao, Quanming Yao, Wei-Wei Tu:
Search to aggregate neighborhood for graph neural network. - Chengrui Wang, Weihong Deng:
Representative Forgery Mining for Fake Face Detection. - Seonho Park, Panos M. Pardalos:
Deep Data Density Estimation through Donsker-Varadhan Representation. - Feiyang Cai, Ali Irmak Ozdagli, Xenofon D. Koutsoukos:
Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression. - Tao Ma, Zhizheng Liu, Yikang Li:
Perception Entropy: A Metric for Multiple Sensors Configuration Evaluation and Design. - Yuanfeng Han, Ruixin Li, Gregory S. Chirikjian:
Look at my new blue force-sensing shoes! - Xian Li, Liang Huang, Hui Wang, Suzhi Bi, Ying-Jun Angela Zhang:
An Integrated Optimization-Learning Framework for Online Combinatorial Computation Offloading in MEC Networks. - Maosheng Jiang, Zengyan Zhang, Jia Zhao:
Improving the Accuracy and Consistency of the Scalar Auxiliary Variable (SAV) Method with Relaxation. - Mahesh B. Patil, Ruchita D. Korgaonkar, Kumar Appaiah:
GSEIM: A General-purpose Simulator with Explicit and Implicit Methods. - Chinmaya Mahesh, Kristin Dona
, David W. Miller, Yuxin Chen:
Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities. - Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang:
Device-Cloud Collaborative Learning for Recommendation. - Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu:
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. - Connor van Rossum, Candice Feinberg, Adam Abu Shumays, Kyle Baxter, Benedek Bartha:
A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals. - Arne Leitert:
Computing the Union Join and Subset Graph of Acyclic Hypergraphs in Subquadratic Time. - Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Decoupled Spatial-Temporal Transformer for Video Inpainting. - Gabin An, Shin Yoo:
Human-in-the-Loop Fault Localisation Using Efficient Test Prioritisation of Generated Tests. - Wanyu Lin, Hao Lan, Baochun Li:
Generative Causal Explanations for Graph Neural Networks. - Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela:
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. - Leon Bergen, Dzmitry Bahdanau, Timothy J. O'Donnell:
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention. - Taichi Murayama, Nobuyuki Shimizu, Sumio Fujita, Shoko Wakamiya, Eiji Aramaki:
Influenza Surveillance using Search Engine, SNS, On-line Shopping, Q&A Service and Past Flu Patients. - Zhengyao Lv, Xiaoming Li, Xin Li, Fu Li, Tianwei Lin, Dongliang He, Wangmeng Zuo:
Learning Semantic Person Image Generation by Region-Adaptive Normalization. - Abhijitt Dhavlle, Sanket Shukla:
A Novel Malware Detection Mechanism based on Features Extracted from Converted Malware Binary Images. - Halil Ibrahim Öztürk, Ahmet Burak Can:
ADNet: Temporal Anomaly Detection in Surveillance Videos. - Pegah Rokhforoz, Olga Fink:
Maintenance scheduling of manufacturing systems based on optimal price of the network. - Yuan Pu, Shaochen Wang, Rui Yang, Xin Yao, Bin Li:
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning. - Guixu Lin, Peiran Li, Yicheng Zhao, Haoran Zhang, Xuan Song:
Small World Model for scaling up prediction result based on SEIR model. - Peter Benner, Yuji Nakatsukasa, Carolin Penke:
Stable and Efficient Computation of Generalized Polar Decompositions. - David Peter, Wolfgang Roth, Franz Pernkopf:
End-to-end Keyword Spotting using Neural Architecture Search and Quantization. - Varun Gangal, Steven Y. Feng, Eduard H. Hovy, Teruko Mitamura:
NAREOR: The Narrative Reordering Problem. - Yuan Gao, Jiawei Li, Maoguo Gong, Yu Xie, A. Kai Qin:
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework. - Maoguo Gong, Yuan Gao, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong:
Multi-Party Dual Learning. - Changhan Wang, Anne Wu, Juan Miguel Pino, Alexei Baevski, Michael Auli, Alexis Conneau:
Large-Scale Self- and Semi-Supervised Learning for Speech Translation. - Konstantin S. Yakovlev, Anton Andreychuk:
Towards Time-Optimal Any-Angle Path Planning With Dynamic Obstacles. - Vikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt:
The Curious Case of Hallucinations in Neural Machine Translation. - Heng Zhu, Qing Ling:
BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning. - Yawei Wang, Xiu Li:
Reward function shape exploration in adversarial imitation learning: an empirical study. - Hui Lv, Chen Chen
, Zhen Cui, Chunyan Xu, Yong Li, Jian Yang:
Learning Normal Dynamics in Videos with Meta Prototype Network. - Yuya Sasaki:
Cost-constrained Minimal Steiner Tree Enumeration by Binary Decision Diagram. - Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong:
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. - Xiaofan Qu, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li:
Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network. - Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha:
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks. - Yuya Sasaki, Keizo Hori, Daiki Nishihara, Sora Ohashi, Yusuke Wakuta, Kei Harada, Makoto Onizuka, Yuki Arase, Shinji Shimojo, Kenji Doi, Hong-Di He, Zhong-Ren Peng:
Smart City Data Analysis via Visualization of Correlated Attribute Patterns. - Xiao Li, Chongru Liu, Jin Ma:
Out-of-Step Detection Based On an Improved Line Potential Energy Criterion. - Dror Moran, Hodaya Koslowsky, Yoni Kasten, Haggai Maron, Meirav Galun, Ronen Basri:
Deep Permutation Equivariant Structure from Motion. - Damian Pascual, Sandro Luck, Roger Wattenhofer:
Towards BERT-based Automatic ICD Coding: Limitations and Opportunities. - Teemu Lehtinen, Aleksi Lukkarinen
, Lassi Haaranen:
Students Struggle to Explain Their Own Program Code. - Denis Antipov, Maxim Buzdalov, Benjamin Doerr:
Lazy Parameter Tuning and Control: Choosing All Parameters Randomly From a Power-Law Distribution. - Alessandro De Palma, Rudy Bunel, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition. - Fredrik Carlsson Magnus Sahlgren:
Sentence Embeddings by Ensemble Distillation. - Oishik Chatterjee, Aashish Waikar, Vishwajeet Kumar, Ganesh Ramakrishnan, Kavi Arya:
A Weakly Supervised Model for Solving Math word Problems. - Pierre Lescanne:
Zaionc paradox revisited. - Jesper Pedersen, Alexandre Graell i Amat, Fredrik Brännström, Eirik Rosnes:
Dynamic Coded Caching in Wireless Networks Using Multi-Agent Reinforcement Learning. - Ying Guo
, Xingxing Wei, Guoqiu Wang, Bo Zhang:
Meaningful Adversarial Stickers for Face Recognition in Physical World. - Buyu Liu, Bingbing Zhuang, Manmohan Chandraker:
Weakly But Deeply Supervised Occlusion-Reasoned Parametric Layouts. - Jianfang Lin, Yupeng Ren, Rémi Abgrall, Jianxian Qiu:
High Order Residual Distribution Conservative Finite Difference HWENO Scheme for Steady State Problems. - Gregor Betz:
Natural-Language Multi-Agent Simulations of Argumentative Opinion Dynamics. - Patrick Dinklage, Johannes Fischer, Alexander Herlez:
Engineering Predecessor Data Structures for Dynamic Integer Sets. - François Rottenberg:
Optimal Downlink Training Sequence for Massive MIMO Secret-Key Generation. - Nicolas M. Müller, Simon Roschmann, Konstantin Böttinger:
Defending against Adversarial Denial-of-Service Attacks. - Omer Nagar, Shoval Frydman, Ori Hochman, Yoram Louzoun:
Quadratic GCN for Graph Classification. - Xin Lv, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Yichi Zhang, Zelin Dai:
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability. - Diego Napp, Raquel Pinto, Conceição Rocha:
Noncatastrophic convolutional codes over a finite ring. - Xuelin Cao, Bo Yang, Chongwen Huang, Chau Yuen, Marco Di Renzo, Dusit Niyato, Zhu Han:
Reconfigurable Intelligent Surface-Assisted Aerial-Terrestrial Communications via Multi-Task Learning. - Hang Du, Hailin Shi, Yinglu Liu, Dan Zeng, Tao Mei:
Towards NIR-VIS Masked Face Recognition. - Noelia Hernández, Ignacio Parra, Héctor Corrales Sánchez, Rubén Izquierdo, Augusto Luis Ballardini, Carlota Salinas, Iván García:
WiFiNet: WiFi-based indoor localisation using CNNs. - Binh X. Nguyen, Binh D. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran, Anh Nguyen:
Graph-based Person Signature for Person Re-Identifications. - Anthony Ngo
, Max Paul Bauer, Michael M. Resch:
Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving. - Nermin Samet, Samet Hicsonmez, Emre Akbas:
HoughNet: Integrating near and long-range evidence for visual detection. - Panagiotis Typaldos, Markos Papageorgiou, Ioannis Papamichail:
Optimization-Based Path-Planning for Connected and non-Connected Automated Vehicles. - Silvio Giancola, Bernard Ghanem
:
Temporally-Aware Feature Pooling for Action Spotting in Soccer Broadcasts. - Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro:
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents. - Ilker Bozcan, Erdal Kayacan:
Context-Dependent Anomaly Detection for Low Altitude Traffic Surveillance. - Hak Gu Kim, Minho Park, Sangmin Lee, Seongyeop Kim, Yong Man Ro:
Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images. - Chi-Jyun Ko, Po-Chih Chen, Hock-Kiet Wong, Yih-Chin Tai:
MoSES_2PDF: A GIS-Compatible GPU-accelerated High-Performance Simulation Tool for Grain-Fluid Shallow Flows. - Stefan Langerman, Nicolas Potvin, Boris Zolotov:
Enumerating All Convex Polyhedra Glued from Squares in Polynomial Time. - Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh:
Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference. - Zhixiang Min, Yiding Yang, Enrique Dunn:
VOLDOR: Visual Odometry from Log-logistic Dense Optical flow Residuals. - Tomoki Hayashi, Wen-Chin Huang, Kazuhiro Kobayashi, Tomoki Toda:
Non-autoregressive sequence-to-sequence voice conversion. - Simon Hoffmann, Frank Diermeyer:
Systems-Theoretic Safety Assessment of Teleoperated Road Vehicles. - Gaochang Wu, Yebin Liu, Lu Fang, Tianyou Chai:
Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network. - Zhixiang Min, Enrique Dunn:
VOLDOR-SLAM: For the Times When Feature-Based or Direct Methods Are Not Good Enough. - Kai Wang, Luis Herranz, Joost van de Weijer:
Continual learning in cross-modal retrieval. - Charles Wiame, Luc Vandendorpe, Claude Oestges:
Stochastic geometry analysis of a distance-based JT scheme in C-RAN. - Paulo José Fernandes Almeida, Miguel Beltrá, Diego Napp, Cláudia Sebastião:
Smaller Keys for Code-Based Cryptography: McEliece Cryptosystems with Convolutional Encoders. - Hui Lv, Chunyan Xu, Zhen Cui:
Global Information Guided Video Anomaly Detection. - Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network. - Niklas Christoffer Petersen, Anders Parslov, Filipe Rodrigues:
Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling. - Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang:
Few-shot Image Generation via Cross-domain Correspondence. - Ruifeng Guo:
Designing an Android Application for Bills Segregation. - Jing Ma, Si-Ahmed Naas, Stephan Sigg, Xixiang Lyu:
Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption. - Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, Josep Lluis Berral, Pubudu Madhawa Silva, David Carrera:
Towards Unsupervised Fine-Tuning for Edge Video Analytics. - Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian J. McAuley:
Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge. - Weijie Zheng, Qiaozhi Zhang, Huanhuan Chen, Xin Yao:
When Non-Elitism Meets Time-Linkage Problems. - Xinru Chen, Chengbo Dong, Jiaqi Ji, Juan Cao, Xirong Li:
Image Manipulation Detection by Multi-View Multi-Scale Supervision. - Erkan Kayacan, Erdal Kayacan, Herman Ramon, Wouter Saeys:
Towards agrobots: Identification of the yaw dynamics and trajectory tracking of an autonomous tractor. - Yixuan Zhou, Changhe Song, Jingbei Li, Zhiyong Wu, Helen Meng:
Dependency Parsing based Semantic Representation Learning with Graph Neural Network for Enhancing Expressiveness of Text-to-Speech. - Hendrik Ranocha, Lisandro Dalcín, Matteo Parsani
, David I. Ketcheson
:
Optimized Runge-Kutta Methods with Automatic Step Size Control for Compressible Computational Fluid Dynamics. - Eric Jeangirard:
Monitoring Open Access at a national level: French case study. - Marko Mihajlovic, Yan Zhang, Michael J. Black, Siyu Tang:
LEAP: Learning Articulated Occupancy of People. - Armstrong Aboah, Maged Shoman, Vishal Mandal, Sayedomidreza Davami, Yaw Adu-Gyamfi, Anuj Sharma:
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees. - Cristiana Santos, Midas Nouwens, Michael Toth, Nataliia Bielova, Vincent Roca:
Consent Management Platforms under the GDPR: processors and/or controllers? - Nadine Bender, Samir El Faramawy, Johannes Maria Kraus, Martin Baumann:
The role of successful human-robot interaction on trust - Findings of an experiment with an autonomous cooperative robot. - Shengqiang Li, Menglong Xu, Xiao-Lei Zhang:
Efficient conformer-based speech recognition with linear attention. - Ali Farsiabi, Amir H. Banihashemi:
Error Floor Analysis of LDPC Row Layered Decoders. - Alan Kuhnle:
Streaming Algorithms for Cardinality-Constrained Maximization of Non-Monotone Submodular Functions in Linear Time. - Georgios Chatzigeorgakidis
, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos:
Twin Subsequence Search in Time Series. - Yuan Yuan, Gene Cheung, Pascal Frossard, H. Vicky Zhao, Jiwu Huang:
Landmarking for Navigational Streaming of Stored High-Dimensional Media. - Frédéric Branchaud-Charron, Parmida Atighehchian, Pau Rodríguez, Grace Abuhamad, Alexandre Lacoste:
Can Active Learning Preemptively Mitigate Fairness Issues? - Erik Burman:
Weighted error estimates for transient transport problems discretized using continuous finite elements with interior penalty stabilization on the gradient jumps. - Yutao Chen, Yuxuan Zhang, Zhongrui Huang, Zhenyao Luo, Jinpeng Chen:
CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA. - Ruo-Ze Liu, Wenhai Wang, Yanjie Shen, Zhiqi Li, Yang Yu, Tong Lu:
An Introduction of mini-AlphaStar. - Mariana Leite, Rafael Ferreira, David Semedo, João Magalhães:
Knowledge-driven Answer Generation for Conversational Search. - James O'Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota, Danushka Bollegala
:
I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Reviews. - Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko:
FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion. - Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Distributed Word Representation in Tsetlin Machine. - Dongkwon Jin, Wonhui Park, Seong-Gyun Jeong, Chang-Su Kim:
Harmonious Semantic Line Detection via Maximal Weight Clique Selection. - Sebastian Baltes, Veronika Dashuber:
UX Debt: Developers Borrow While Users Pay. - Jessica Morley, Caroline Morton, Kassandra Karpathakis, Mariarosaria Taddeo, Luciano Floridi:
Towards a framework for evaluating the safety, acceptability and efficacy of AI systems for health: an initial synthesis. - Igor Sfiligoi, Michael Hare, David Schultz, Frank Würthwein, Benedikt Riedel, Tom Hutton, Steve Barnet, Vladimir Brik:
Managing Cloud networking costs for data-intensive applications by provisioning dedicated network links. - Yang Li, Hao Cheng, Zhe Zeng, Hailong Liu, Monika Sester:
Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road Users. - Dmitry Kazhdan, Botty Dimanov, Helena Andrés-Terré, Mateja Jamnik, Pietro Liò, Adrian Weller:
Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches. - Moritz A. Zanger, Karam Daaboul, J. Marius Zöllner:
Safe Continuous Control with Constrained Model-Based Policy Optimization. - Jiaying Lu, Jinho D. Choi:
Evaluation of Unsupervised Entity and Event Salience Estimation. - Juan Luis Herrera, Jaime Galán-Jiménez, Javier Berrocal, Juan Manuel Murillo:
Optimizing Response Time in SDN-Edge Environments for Time-Strict IoT Applications. - Jingwei Wang, Chuan Liu, Yukai Zhao, Yunlong Ma, Min Liu, Weiming Shen:
Automated Allocation of Detention Rooms Based on Inverse Graph Partitioning. - Kent Quanrud:
Fast Approximations for Rooted Connectivity in Weighted Directed Graphs. - Hans Weytjens, Jochen De Weerdt:
Process Outcome Prediction: CNN vs. LSTM (with Attention). - Julian Chibane, Aayush Bansal, Verica Lazova, Gerard Pons-Moll:
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes. - Yuchen Ma, Songtao Liu, Zeming Li, Jian Sun:
IQDet: Instance-wise Quality Distribution Sampling for Object Detection. - Roee Mordechai Francos, Alfred M. Bruckstein:
Pincer-based vs. Same-direction Search Strategies After Smart Evaders by Swarms of Agents. - Jindou Dai, Yuwei Wu, Zhi Gao, Yunde Jia:
A Hyperbolic-to-Hyperbolic Graph Convolutional Network. - Annalisa Milella, Roberto Marani, Antonio Petitti, Giulio Reina:
In-field high throughput grapevine phenotyping with a consumer-grade depth camera. - Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman:
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. - Danielle Saunders:
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey. - Kellin Pelrine, Jacob Danovitch
, Reihaneh Rabbany:
The Surprising Performance of Simple Baselines for Misinformation Detection. - Ian T. Foster, Daniel Lopresti, Bill Gropp, Mark D. Hill, Katie Schuman:
A National Discovery Cloud: Preparing the US for Global Competitiveness in the New Era of 21st Century Digital Transformation. - Ivan Skorokhodov
, Grigorii Sotnikov, Mohamed Elhoseiny
:
Aligning Latent and Image Spaces to Connect the Unconnectable. - Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues:
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. - Song Xu, Haoran Li, Peng Yuan, Yujia Wang, Youzheng Wu, Xiaodong He, Ying Liu, Bowen Zhou:
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce. - Nichole D. Starr, Bertram F. Malle, Tom Williams:
I Need Your Advice... Human Perceptions of Robot Moral Advising Behaviors. - Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury:
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. - Haris Javaid, Ji Yang, Nathania Santoso, Mohit Upadhyay, Sundararajarao Mohan, Chengchen Hu, Gordon J. Brebner:
Blockchain Machine: A Network-Attached Hardware Accelerator for Hyperledger Fabric. - Emanuela Boros, José G. Moreno, Antoine Doucet:
Event Detection as Question Answering with Entity Information. - Gene Li, Pritish Kamath, Dylan J. Foster, Nathan Srebro:
Eluder Dimension and Generalized Rank. - Haswanth Aekula, Sugam Garg, Animesh Gupta:
[RE] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. - Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu:
Pose Recognition with Cascade Transformers. - Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Chun-Xia Zhang, Junmin Liu:
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution. - Kexin Wang, Nils Reimers, Iryna Gurevych:
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning. - Kim de Bie, Ana Lucic, Hinda Haned:
To Trust or Not to Trust a Regressor: Estimating and Explaining Trustworthiness of Regression Predictions. - George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction. - Yiyuan Yang, Kenneth Li, Fernanda Monteiro Eliott, Maithilee Kunda:
Do Time Constraints Re-Prioritize Attention to Shapes During Visual Photo Inspection? - Brett Drury, Samuel Morais Drury:
An Update to the Minho Quotation Resource. - Nmachi Peace Wosah, Thomas Win:
Phishing Mitigation Techniques: A Literature Survey. - Chun Yang
, Franz Rottensteiner, Christian Heipke:
A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases. - Faris B. Mismar, Jakob Hoydis:
Unsupervised Learning in Next-Generation Networks: Real-Time Performance Self-Diagnosis. - Sayan Ghosh, Dylan K. Baker, David Jurgens, Vinodkumar Prabhakaran:
Cross-geographic Bias Detection in Toxicity Modeling. - Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad I. Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer:
IGA : An Intent-Guided Authoring Assistant. - Ioannis Kansizoglou, Loukas Bampis, Antonios Gasteratos:
Do Neural Network Weights account for Classes Centers? - Vinayak Ramkumar, Myna Vajha, P. Vijay Kumar:
Generalized Simple Streaming Codes from MDS Codes. - Yang P. Liu, Ashwin Sah, Mehtaab Sawhney:
A Gaussian fixed point random walk. - Adrián Bazaga, Nupur Gunwant, Gos Micklem:
Translating synthetic natural language to database queries: a polyglot deep learning framework. - Tzvika Geft, Dan Halperin:
On the Complexity of a Family of Decoupled Multi-Robot Motion Planning Problems. - Biao Zhang, Ivan Titov, Rico Sennrich:
Sparse Attention with Linear Units. - Aiyu Cui, Daniel McKee, Svetlana Lazebnik:
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing. - Maciej Skorski:
On Missing Mass Variance. - Wen Xiao, Patrick Huber, Giuseppe Carenini:
Predicting Discourse Trees from Transformer-based Neural Summarizers. - Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Data Representation Learning. - Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum:
Exact and Approximate Hierarchical Clustering Using A. - Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi:
Reformulating Sentence Ordering as Conditional Text Generation. - Vladan Stojnic, Vladimir Risojevic:
Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding. - Georgios Paraskevopoulos, Efthymios Tzinis, Nikolaos Ellinas, Theodoros Giannakopoulos, Alexandros Potamianos:
Unsupervised low-rank representations for speech emotion recognition. - Hyeonwoo Yu, Jean Oh:
Self-supervised Learning of 3D Object Understanding by Data Association and Landmark Estimation for Image Sequence. - Constantinos Karouzos, Georgios Paraskevopoulos, Alexandros Potamianos:
UDALM: Unsupervised Domain Adaptation through Language Modeling. - I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser:
Modeling Human Mental States with an Entity-based Narrative Graph. - Gregor Geigle, Nils Reimers, Andreas Rücklé
, Iryna Gurevych:
TWEAC: Transformer with Extendable QA Agent Classifiers. - Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks. - Diogo Cortiz, Newton Calegari, Fabiana Oliveira, Daniel Couto Gatti:
Game Design for Blockchain Learning. - Mingda Chen
, Zewei Chu, Sam Wiseman, Kevin Gimpel:
SummScreen: A Dataset for Abstractive Screenplay Summarization. - Philipp Dufter, Nora Kassner, Hinrich Schütze:
Static Embeddings as Efficient Knowledge Bases? - Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke:
A Large-Scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search. - Mario Vazquez Corte, Luis V. Montiel:
Novel Matrix Hit and Run for Sampling Polytopes and Its GPU Implementation. - Moustafa Meshry, Yixuan Ren, Larry S. Davis, Abhinav Shrivastava:
StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis. - Francesco Ferrante, Giacomo Casadei, Christophe Prieur:
Synchronization of Identical Boundary-Actuated Nonlinear Infinite-Dimensional Systems. - Panagiotis Fytas, Georgios Rizos, Lucia Specia:
What Makes a Scientific Paper be Accepted for Publication? - Vera Traub, Rico Zenklusen:
A Better-Than-2 Approximation for Weighted Tree Augmentation. - Kyle C. Hale:
Coalescent Computing. - Lukas Stappen, Alice Baird, Lukas Christ, Lea Schumann, Benjamin Sertolli, Eva-Maria Messner, Erik Cambria, Guoying Zhao, Björn W. Schuller:
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress. - Julia A. Meister
, Khuong An Nguyen, Zhiyuan Luo:
Audio feature ranking for sound-based COVID-19 patient detection. - Jing Lu, Carolina Osorio:
On the approximation of queue-length distributions in transportation networks. - Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova:
Adaptive Intermediate Representations for Video Understanding. - Abhineet Gupta, Sean B. Maynard, Atif Ahmad:
The Dark Web Phenomenon: A Review and Research Agenda. - Hibah Altukruni, Sean B. Maynard, Moneer Alshaikh, Atif Ahmad:
Exploring Knowledge Leakage Risk in Knowledge-Intensive Organisations: Behavioural aspects and Key controls. - Mazino Onibere, Atif Ahmad, Sean B. Maynard:
Dynamic Information Security Management Capability: Strategising for Organisational Performance. - Tolga Bolukbasi, Adam Pearce, Ann Yuan, Andy Coenen, Emily Reif, Fernanda B. Viégas, Martin Wattenberg:
An Interpretability Illusion for BERT. - Abid Hussain Shah, Atif Ahmad, Sean B. Maynard, Humza Naseer:
Enhancing Strategic Information Security Management in Organizations through Information Warfare Practices. - Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr:
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. - Amir Shakouri, Nima Assadian:
Prescribed-time control with linear decay for nonlinear systems. - Jason Krone, Sailik Sengupta, Saab Mansoor:
On the Robustness of Goal Oriented Dialogue Systems to Real-world Noise. - Chuanhao Li, Qingyun Wu, Hongning Wang:
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. - Andrea Cuadra, Hansol Lee, Jason Cho, Wendy Ju
:
Look at Me When I Talk to You: A Video Dataset to Enable Voice Assistants to Recognize Errors. - Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace:
Disentangling Representations of Text by Masking Transformers. - Poojan Oza, Vishal M. Patel:
Federated Learning-based Active Authentication on Mobile Devices. - Maren Koyda, Gerd Stumme:
Boolean Substructures in Formal Concept Analysis. - Erkan Kayacan, Erdal Kayacan, Herman Ramon, Wouter Saeys:
Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm. - Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias:
On the Design of Deep Priors for Unsupervised Audio Restoration. - Qiaochu Chen, Aaron Lamoreaux, Xinyu Wang, Greg Durrett, Osbert Bastani, Isil Dillig:
Web Question Answering with Neurosymbolic Program Synthesis. - Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma, Ali Ghodsi:
Annealing Knowledge Distillation. - Jiangpeng He, Fengqing Zhu:
Unsupervised Continual Learning Via Pseudo Labels. - David E. Narváez, Patrick A. Phillips:
On Lev Gordeev's "On P Versus NP". - Asher Trockman, J. Zico Kolter:
Orthogonalizing Convolutional Layers with the Cayley Transform. - Taylor West Henderson, Yuheng Zhi, Angela Liu, Michael C. Yip:
Data-driven Actuator Selection for Artificial Muscle-Powered Robots. - Nicolas Pröllochs:
Community-Based Fact-Checking on Twitter's Birdwatch Platform. - Valentin Duruisseaux, Melvin Leok:
Accelerated Optimization on Riemannian Manifolds via Discrete Constrained Variational Integrators. - Chao Cai, Ruinan Jin, Peng Wang, Liyuan Ye, Hongbo Jiang, Jun Luo:
PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition. - Alicia Parrish, William Huang, Omar Agha, Soo-Hwan Lee, Nikita Nangia, Alex Warstadt, Karmanya Aggarwal, Emily Allaway, Tal Linzen, Samuel R. Bowman:
Does Putting a Linguist in the Loop Improve NLU Data Collection? - Zhaoen Su, Chao Wang, David Bradley, Carlos Vallespi-Gonzalez, Carl Wellington, Nemanja Djuric:
Convolutions for Spatial Interaction Modeling. - Mohanad Sarhan, Siamak Layeghy, Marius Portmann:
An Explainable Machine Learning-based Network Intrusion Detection System for Enabling Generalisability in Securing IoT Networks. - Mohammadali Hayerikhiyavi, Aleksandar D. Dimitrovski:
Gyrator-Capacitor Modeling of a Continuously Variable Series Reactor in Different Operating Modes. - Luyu Gao, Zhuyun Dai, Jamie Callan:
COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List. - Zheyu Zhang, Rhys Newbury, Kerry He, Steven Martin, Gavin Suddrey, Jun Kwan, Peter Corke, Akansel Cosgun:
Tabletop Object Rearrangement: Team ACRV's Entry to OCRTOC. - Ercan Atam, Tamer F. Abdelmaguid, Muhammed Emre Keskin, Eric C. Kerrigan:
A hybrid green energy-based framework with a multi-objective optimization approach for optimal frost prevention in horticulture. - Liying Zheng, Yue Deng, Weishun Song, Liang Xu, Jing Xiao:
An Alignment-Agnostic Model for Chinese Text Error Correction. - Vinayak Suresh, Eric Ruzomberka, David J. Love:
Stochastic-Adversarial Channels : Online Adversaries With Feedback Snooping. - Lei Zhang, Wei Bai, Wei Li, Shiming Xia, Qibin Zheng:
Discover the Hidden Attack Path in Multi-domain Cyberspace Based on Reinforcement Learning. - Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Pedro P. B. de Gusmao, Bing Wang, Andrew Markham, Niki Trigoni:
Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks. - Kyoungrok Jang, Junmo Kang, Giwon Hong, Sung-Hyon Myaeng, Joohee Park, Taewon Yoon, Hee-Cheol Seo:
UHD-BERT: Bucketed Ultra-High Dimensional Sparse Representations for Full Ranking. - Wei Liao, Taotao Liang, Xiaohui Wei, Jizhou Lai:
A Novel Unified Framework for Solving Reachability, Viability and Invariance Problems. - Yuxuan Lai, Yijia Liu, Yansong Feng, Songfang Huang, Dongyan Zhao:
Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models. - Chandra Chekuri, Kent Quanrud:
Faster Algorithms for Rooted Connectivity in Directed Graphs. - Behrouz Azimian, Reetam Sen Biswas, Anamitra Pal, Lang Tong, Gautam Dasarathy:
State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks. - Yixin Liu, Zi-Yi Dou, Pengfei Liu:
RefSum: Refactoring Neural Summarization. - Francesco Conte, Bruno Gabriele, Giacomo-Piero Schiapparelli, Federico Silvestro, Claudio Bossi, M. Cabiati:
Optimal Positioning of PMUs for Fault Detection and Localization in Active Distribution Networks. - Hye-jin Shim, Ju-ho Kim, Jee-weon Jung, Ha-Jin Yu:
Attentive Max Feature Map for Acoustic Scene Classification with Joint Learning considering the Abstraction of Classes. - Abdelatif Hafid, Abdelhakim Senhaji Hafid, Mustapha Samih:
A Tractable Probabilistic Approach to Analyze Sybil Attacks in Sharding-Based Blockchain Protocols. - Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes:
Learning structure-aware semantic segmentation with image-level supervision. - Yangming Li, Lemao Liu, Kaisheng Yao:
Neural Sequence Segmentation as Determining the Leftmost Segments. - Athul Paul Jacob, Mike Lewis, Jacob Andreas:
Multitasking Inhibits Semantic Drift. - Qixuan Sun, Yaqi Yin, Hong Yu:
A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness. - Shrey Desai, Akshat Shrivastava, Alexander Zotov, Ahmed Aly:
Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modeling. - Krzysztof Fiok, Waldemar Karwowski, Edgar Gutiérrez, Mohammad Reza Davahli, Maciej Wilamowski, Tareq Z. Ahram, Awad M. Aljuaid, Jozef M. Zurada:
Text Guide: Improving the quality of long text classification by a text selection method based on feature importance. - Wenhao Yu
, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang:
Sentence-Permuted Paragraph Generation. - David I. Inouye, Zeyu Zhou, Ziyu Gong, Pradeep Ravikumar:
Iterative Barycenter Flows. - Kamal Chandra Paul, Semih Aslan:
An Improved Real-Time Face Recognition System at Low Resolution Based on Local Binary Pattern Histogram Algorithm and CLAHE. - Remco Zwetsloot, Baobao Zhang, Noemi Dreksler, Lauren Kahn, Markus Anderljung, Allan Dafoe, Michael C. Horowitz:
Skilled and Mobile: Survey Evidence of Immigration Preferences of AI Researchers. - Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval. - Sohee Yang, Minjoon Seo:
Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering. - Bai Li, Frank Rudzicz:
TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction. - Shaily Kabir, Christian Wagner, Zack Ellerby:
Towards Handling Uncertainty-at-Source in AI - A Review and Next Steps for Interval Regression. - Jingda Wu, Zhiyu Huang, Chao Huang, Zhongxu Hu, Peng Hang, Yang Xing
, Chen Lv:
Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving. - Minbyul Jeong, Jaewoo Kang:
Regularizing Models via Pointwise Mutual Information for Named Entity Recognition. - Haiqin Yang, Jianping Shen:
Emotion Dynamics Modeling via BERT. - Seunghyun Seo, Donghyun Kwak, Bowon Lee:
Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding. - Sébastien M. R. Arnold, Fei Sha:
Embedding Adaptation is Still Needed for Few-Shot Learning. - Jianlong Yuan, Yifan Liu, Chunhua Shen, Zhibin Wang, Hao Li:
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation. - Håkon Hoel, Gaukhar Shaimerdenova
, Raúl Tempone:
Multi-index ensemble Kalman filtering. - Amina Piemontese, Giulio Colavolpe, Thomas Eriksson:
Phase noise in communication systems: from measures to models. - Patrick Grady, Chengcheng Tang, Christopher D. Twigg, Minh Vo, Samarth Brahmbhatt, Charles C. Kemp:
ContactOpt: Optimizing Contact to Improve Grasps. - Boyang Wan, Yuming Fang, Xue Xia, Jiajie Mei:
Weakly Supervised Video Anomaly Detection via Center-guided Discriminative Learning. - Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang:
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering. - Akshat Shrivastava, Pierce Chuang, Arun Babu, Shrey Desai, Abhinav Arora, Alexander Zotov, Ahmed Aly:
Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing. - Divya Grover, Christos Dimitrakakis:
Adaptive Belief Discretization for POMDP Planning. - Krishnendu Chatterjee, Laurent Doyen:
Stochastic Processes with Expected Stopping Time. - Yuanyang Zhu, Zhi Wang, Chunlin Chen, Daoyi Dong:
Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction. - Jungsoo Park, Gyuwan Kim, Jaewoo Kang:
Consistency Training with Virtual Adversarial Discrete Perturbation. - Haoxin Ma, Jiangyan Yi, Jianhua Tao, Ye Bai, Zhengkun Tian, Chenglong Wang:
Continual Learning for Fake Audio Detection. - Patrick Baillot, Alexis Ghyselen, Naoki Kobayashi:
Sized Types with Usages for Parallel Complexity of Pi-Calculus Processes. - Christopher Bamford, Alvaro Ovalle:
Generalising Discrete Action Spaces with Conditional Action Trees. - Shuiqiao Yang, Sunny Verma, Borui Cai, Jiaojiao Jiang, Kun Yu, Fang Chen, Shui Yu:
Variational Co-embedding Learning for Attributed Network Clustering. - Fabricio Cravo, Thomas Nowak:
Towards a Fast and Accurate Model of Intercontact Times for Epidemic Routing. - Hongsuk Choi, Gyeongsik Moon, JoonKyu Park, Kyoung Mu Lee:
3DCrowdNet: 2D Human Pose-Guided3D Crowd Human Pose and Shape Estimation in the Wild. - Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li, Hanwang Zhang:
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph. - Kai Yang, Zhenyu He, Wenjie Pei, Zikun Zhou, Xin Li, Di Yuan, Haijun Zhang:
SiamCorners: Siamese Corner Networks for Visual Tracking. - Peng-Jian Yang, Ying-Ting Chen, Yuechan Chen, Daniel Cer:
NT5?! Training T5 to Perform Numerical Reasoning. - Chunyu Li, Yusuke Monno, Masatoshi Okutomi:
Spectral MVIR: Joint Reconstruction of 3D Shape and Spectral Reflectance. - Shayan Hashemi, Mika Mäntylä:
OneLog: Towards End-to-End Training in Software Log Anomaly Detection. - Cheng-Wei Huang, Tim-Wei Chen, Juinn-Dar Huang:
All-You-Can-Fit 8-Bit Flexible Floating-Point Format for Accurate and Memory-Efficient Inference of Deep Neural Networks. - Francesco Conte, Stefano Massucco, Mario Paolone, Giacomo-Piero Schiapparelli, Federico Silvestro, Yihui Zuo:
Frequency stability assessment of modern power systems: models definition and parameters identification. - Pedro Caetano Manso, José Moura, Carlos Serrão:
SDN-Based Intrusion Detection System for Early Detection and Mitigation of DDoS Attacks. - Daniel P. Martins, Michael Taynnan Barros, Benjamin O'Sullivan, Ian Seymour, Alan O'Riordan, Lee Coffey
, Joseph Sweeney, Sasitharan Balasubramaniam:
Microfluidic-based Bacterial Molecular Computing on a Chip. - Jamal Al Qundus
, Ralph Schäfermeier, Naouel Karam, Silvio Peikert, Adrian Paschke:
ROC: An Ontology for Country Responses towards COVID-19. - Byeong-Uk Lee, Kyunghyun Lee, In So Kweon:
Depth Completion using Plane-Residual Representation. - Zhaohui Huang, Vasilis Friderikos:
Enhanced LSTM-based Service Decomposition for Mobile Augmented Reality. - Francesco Conte, Stefano Massucco, Giacomo-Piero Schiapparelli, Federico Silvestro:
Day-Ahead and Intra-Day Planning of Integrated BESS-PV Systems providing Frequency Regulation. - Ernst Althaus, Mohammad Sadeq Dousti, Stefan Kramer:
Fast Private Parameter Learning and Evaluation for Sum-Product Networks. - Hongyu Gong, Xian Li, Dmitriy Genzel:
Adaptive Sparse Transformer for Multilingual Translation. - Jingwei Yi, Fangzhao Wu, Chuhan Wu, Qifei Li, Guangzhong Sun, Xing Xie:
DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation. - Rahul Madhavan, Gugan Thoppe, Hemanta Makwana:
Scale Invariant Solutions for Overdetermined Linear Systems with Applications to Reinforcement Learning. - Aurélien Bellet, Anne-Marie Kermarrec, Erick Lavoie:
D-Cliques: Compensating NonIIDness in Decentralized Federated Learning with Topology. - Sidharth R, Abhiraj Tiwari, Parthivi Choubey, Saisha Kashyap, Sahil Khose, Kumud Lakara, Nishesh Singh, Ujjwal Verma:
BERT based Transformers lead the way in Extraction of Health Information from Social Media. - Mengqi Zhang, Shu Wu, Xueli Yu, Liang Wang:
Dynamic Graph Neural Networks for Sequential Recommendation. - Phu Gia Hoang, Luan Thanh Nguyen, Kiet Van Nguyen:
UIT-E10dot3 at SemEval-2021 Task 5: Toxic Spans Detection with Named Entity Recognition and Question-Answering Approaches. - Jianlong Zhou, Weidong Huang, Fang Chen:
Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation. - Saransh Goyal, Pratyush Pandey, Garima Gaur, Subhalingam D, Srikanta Bedathur, Maya Ramanath:
Tracking entities in technical procedures - a new dataset and baselines. - David Issa Mattos, Lucas Ruud, Jan Bosch, Helena Holmström Olsson:
On the Assessment of Benchmark Suites for Algorithm Comparison. - Biaoshuai Tao:
On Existence of Truthful Fair Cake Cutting Mechanisms. - Pooja Prajod, Dominik Schiller, Tobias Huber
, Elisabeth André:
Do Deep Neural Networks Forget Facial Action Units? - Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition. - Daniel Weber, Clemens Gühmann, Thomas Seel:
Robust Neural Networks Outperform Attitude Estimation Filters. - Josef Gugglberger, David Peer, Antonio Jose Rodríguez-Sánchez:
Training Deep Capsule Networks with Residual Connections. - Mingfu Xue, Can He, Shichang Sun, Jian Wang, Weiqiang Liu:
Robust Backdoor Attacks against Deep Neural Networks in Real Physical World. - Dai Quoc Nguyen, Vinh Tong, Dinh Phung, Dat Quoc Nguyen:
Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction. - Hao Jia, Shuqin Gu, Yangbin Shi, Xiangyu Duan, Zhongkai Hu, Yuqi Zhang, Weihua Luo:
Bilingual Terminology Extraction from Non-Parallel E-Commerce Corpora. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. - Julien Siebert, Janek Groß, Christof Schroth:
A systematic review of Python packages for time series analysis. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
MM-Rec: Multimodal News Recommendation. - Manoj Basnet
, Subash Poudyal, Mohd. Hasan Ali, Dipankar Dasgupta:
Ransomware Detection Using Deep Learning in the SCADA System of Electric Vehicle Charging Station. - Raj Dabre, Aizhan Imankulova, Masahiro Kaneko, Abhisek Chakrabarty:
Simultaneous Multi-Pivot Neural Machine Translation. - Dieter Brughmans, David Martens:
NICE: An Algorithm for Nearest Instance Counterfactual Explanations. - Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Graham Neubig, Melvin Johnson:
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Empowering News Recommendation with Pre-trained Language Models. - Anchen Li, Bo Yang, Hongxu Chen, Guandong Xu:
Hyperbolic Neural Collaborative Recommender. - Zitong Yu, Xiaobai Li, Pichao Wang, Guoying Zhao:
TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection. - Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov:
The Role of Context in Detecting Previously Fact-Checked Claims. - Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, Hiroki Ouchi, Kentaro Inui:
Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution. - Danielle Saunders, Rosie Sallis, Bill Byrne:
First the worst: Finding better gender translations during beam search. - Keita Ishizuka, Ken Saito:
On the existence of quaternary Hermitian LCD codes with Hermitian dual distance 1. - Liangyu Chen, Tong Yang, Xiangyu Zhang, Wei Zhang, Jian Sun:
Points as Queries: Weakly Semi-supervised Object Detection by Points. - Giuseppe Ng, Rey Vincenzo Cruz:
Student and Faculty Adviser Insights in an Agile Methodology Integrated Filipino Company-Sponsored I.T. Capstone Program. - Fabrice Daniel:
Bayesian and Dempster-Shafer models for combining multiple sources of evidence in a fraud detection system. - Sarra Habchi
, Maxime Cordy, Mike Papadakis, Yves Le Traon:
On the Use of Mutation in Injecting Test Order-Dependency. - Eli Verwimp
, Matthias De Lange, Tinne Tuytelaars:
Rehearsal revealed: The limits and merits of revisiting samples in continual learning. - Paul M. Baggenstoss:
Maximum Entropy Auto-Encoding. - Yihan Pan, Zhenghang Xu, Jin Guang, Jingjing Sun, Chengwenjian Wang, Xuanming Zhang, Xinyun Chen, Jim G. Dai, Yichuan Ding, Pengyi Shi, Hongxin Pan, Kai Yang, Song Wu:
A High-fidelity, Machine-learning Enhanced Queueing Network Simulation Model for Hospital Ultrasound Operations. - Xinya Ji, Hang Zhou
, Kaisiyuan Wang, Wayne Wu, Chen Change Loy, Xun Cao, Feng Xu:
Audio-Driven Emotional Video Portraits. - Animesh Renanse, Rohitash Chandra, Alok Sharma:
Memory Capacity of Neural Turing Machines with Matrix Representation. - Hassan Sajjad, Firoj Alam, Fahim Dalvi, Nadir Durrani:
Effect of Post-processing on Contextualized Word Representations. - Youri Raaijmakers
:
Comparison of the FCFS and PS discipline in Redundancy Systems. - Guixin Ye, Zhanyong Tang, Shin Hwei Tan, Songfang Huang, Dingyi Fang, Xiaoyang Sun, Lizhong Bian, Haibo Wang, Zheng Wang:
Automated Conformance Testing for JavaScript Engines via Deep Compiler Fuzzing. - Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib:
Action Segmentation with Mixed Temporal Domain Adaptation. - Felix Newberry, Jerrad Hampton, Kenneth E. Jansen, Alireza Doostan:
Bi-fidelity Reduced Polynomial Chaos Expansion for Uncertainty Quantification. - Tuukka Korhonen:
Single-Exponential Time 2-Approximation Algorithm for Treewidth. - Krishnendu Chatterjee, Wolfgang Dvorák, Monika Henzinger, Alexander Svozil:
Symbolic Time and Space Tradeoffs for Probabilistic Verification. - Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Cross-Domain Label-Adaptive Stance Detection. - Aiden Durrant, Milan Markovic, David Matthews, David May, Jessica A. Enright, Georgios Leontidis:
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector. - Stefan Ruehrup:
A public key infrastructure for compliant spectrum use by wireless devices. - Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Mark O. Riedl:
Fabula Entropy Indexing: Objective Measures of Story Coherence. - Xiaoyu Xiang
, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu:
Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution. - Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song:
Lorentzian Graph Convolutional Networks. - Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang:
Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations. - Philip Pannagger, Demin Nalic, Faris Orucevic, Arno Eichberger, Branko Rogic:
Advanced Lane Detection Model for the Virtual Development of Highly Automated Functions. - El Moatez Billah Nagoudi, Wei-Rui Chen, Muhammad Abdul-Mageed, Hasan Cavusoglu:
IndT5: A Text-to-Text Transformer for 10 Indigenous Languages. - Bin Li, Jiaqi Gu, Huazi Zhang:
Performance of CRC Concatenated Pre-transformed RM-Polar Codes. - C. J. Argue, Anupam Gupta, Marco Molinaro:
Lipschitz Selectors may not Yield Competitive Algorithms for Convex Body Chasing. - Wenxin Hou, Jindong Wang, Xu Tan, Tao Qin, Takahiro Shinozaki:
Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching. - Antonio Bucchiarone, Martina De Sanctis, Nelly Bencomo:
Agent-based Framework for Self-Organization of Collective and Autonomous Shuttle Fleets. - Pietro Mazzaglia
, Ozan Çatal, Tim Verbelen, Bart Dhoedt:
Self-Supervised Exploration via Latent Bayesian Surprise. - Masahiro Kaneko, Danushka Bollegala
:
Unmasking the Mask - Evaluating Social Biases in Masked Language Models. - Lei Li, Dongling Wang:
Numerical stability of Grünwald-Letnikov method for time fractional delay differential equations. - Hassan Shahmohammadi, Hendrik P. A. Lensch, R. Harald Baayen:
Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task Training. - Dezhong Yao
, Peilin Zhao, Chen Yu, Hai Jin, Bin Li:
Sparse online relative similarity learning. - Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork
:
Privacy-Adaptive BERT for Natural Language Understanding. - Karolina Stanczak, Sagnik Ray Choudhury, Tiago Pimentel, Ryan Cotterell, Isabelle Augenstein:
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models. - Reid Priedhorsky, Shane Richard Canon, Timothy Randles, Andrew J. Younge:
Minimizing privilege for building HPC containers. - Idan Schwartz:
Ensemble of MRR and NDCG models for Visual Dialog. - Mehrdad Nasser, Mohamad Bagher Sajadi, Behrouz Minaei-Bidgoli:
A Sample-Based Training Method for Distantly Supervised Relation Extraction with Pre-Trained Transformers. - Li Li, Moming Duan, Duo Liu, Yu Zhang, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang:
FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems. - Chengtang Yao, Yunde Jia, Huijun Di, Pengxiang Li, Yuwei Wu:
A Decomposition Model for Stereo Matching. - Théis Bazin, Gaëtan Hadjeres, Philippe Esling, Mikhail Malt:
Spectrogram Inpainting for Interactive Generation of Instrument Sounds. - Saideep Tiku, Prathmesh Kale, Sudeep Pasricha:
QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices. - Markus Schütz, Bernhard Kerbl, Michael Wimmer:
Rendering Point Clouds with Compute Shaders and Vertex Order Optimization. - Kilian Kleeberger, Markus Völk, Richard Bormann, Marco F. Huber:
Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation. - Carles Domingo-Enrich, Alberto Bietti, Eric Vanden-Eijnden, Joan Bruna:
On Energy-Based Models with Overparametrized Shallow Neural Networks. - Hesam Hamledari, Martin Fischer:
Measuring the Impact of Blockchain and Smart Contract on Construction Supply Chain Visibility. - Wonjin Yoon, Richard Jackson, Jaewoo Kang, Aron Lagerberg:
Sequence Tagging for Biomedical Extractive Question Answering. - Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage:
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving. - Baoqian Wang, Junfei Xie, Kejie Lu, Yan Wan, Shengli Fu:
Multi-Agent Reinforcement Learning Based Coded Computation for Mobile Ad Hoc Computing. - Timo Schick, Hinrich Schütze:
Generating Datasets with Pretrained Language Models. - Raphael Shu, Kang Min Yoo, Jung-Woo Ha:
Reward Optimization for Neural Machine Translation with Learned Metrics. - Julian D. Cortes, Mireia Guix, Katerina Bohle Carbonell:
Innovation for Sustainability in the Global South: Bibliometric findings from management & business and STEM (Science, Technology, Engineering and Mathematics) fields in developing countries. - Tobias Rohde, Xiaoxia Wu, Yinhan Liu:
Hierarchical Learning for Generation with Long Source Sequences. - Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony J. Bagnall:
HIVE-COTE 2.0: a new meta ensemble for time series classification. - Joonyoung Yi, Buru Chang:
Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning. - Tom Sherborne, Mirella Lapata:
Zero-Shot Cross-lingual Semantic Parsing. - Clément Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari:
Data-QuestEval: A Referenceless Metric for Data to Text Semantic Evaluation. - Yuben Qu, Haipeng Dai, Yan Zhuang, Jiafa Chen, Chao Dong, Fan Wu, Song Guo:
Serverless Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities. - Thomas Scialom, Louis Martin, Jacopo Staiano, Éric Villemonte de la Clergerie, Benoît Sagot:
Rethinking Automatic Evaluation in Sentence Simplification. - Kurt Shuster, Spencer Poff, Moya Chen, Douwe Kiela, Jason Weston:
Retrieval Augmentation Reduces Hallucination in Conversation. - Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh:
AffectiveNet: Affective-Motion Feature Learningfor Micro Expression Recognition. - Maharshi Gor, Kellie Webster, Jordan L. Boyd-Graber:
Towards Deconfounding the Influence of Subject's Demographic Characteristics in Question Answering. - Mingming Guo, Nian Yan, Xiquan Cui, San He Wu, Unaiza Ahsan, Rebecca West, Khalifeh Al Jadda:
Deep Learning-based Online Alternative Product Recommendations at Scale. - Yanni Georghiades, Robert Streit, Vijay Garg:
Who Needs Consensus? A Distributed Monetary System Between Rational Agents via Hearsay. - Samuel Greenbank, David A. Howey:
Piecewise-linear modelling with feature selection for Li-ion battery end of life prognosis. - Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung
:
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. - Maciej Besta, Raghavendra Kanakagiri, Grzegorz Kwasniewski, Rachata Ausavarungnirun, Jakub Beránek, Konstantinos Kanellopoulos, Kacper Janda, Zur Vonarburg-Shmaria, Lukas Gianinazzi, Ioana Stefan, Juan Gómez-Luna, Marcin Copik, Lukas Kapp-Schwoerer, Salvatore Di Girolamo, Marek Konieczny, Onur Mutlu, Torsten Hoefler:
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems. - Luciano de Aguiar Monteiro:
A proposal to systematize introducing DevOps into the software development process. - Hongxu Yin, Arun Mallya, Arash Vahdat, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
See through Gradients: Image Batch Recovery via GradInversion. - Sola S. Shirai, Oshani Seneviratne, Deborah L. McGuinness:
Applying Personal Knowledge Graphs to Health. - Yousef Emam, Paul Glotfelter, Sean Wilson, Gennaro Notomista, Magnus Egerstedt:
Data-Driven Robust Barrier Functions for Safe, Long-Term Operation. - Hariharan Subramonyam, Colleen M. Seifert, Eytan Adar:
Towards A Process Model for Co-Creating AI Experiences. - Elze Sigute Mikalonyte, Markus Kneer:
Can Artificial Intelligence Make Art? - Brooks Butler, Ciyuan Zhang, Ian Walter, Nishant Nair, Raphael E. Stern, Philip E. Paré:
The Effect of Population Flow on Epidemic Spread: Analysis and Control. - Alessandro Neri, Paolo Santonastaso, Ferdinando Zullo:
Extending two families of maximum rank distance codes. - Jesse Vig, Wojciech Kryscinski, Karan Goel, Nazneen Fatema Rajani:
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization. - Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Ryan T. McDonald:
Planning with Entity Chains for Abstractive Summarization. - Yu-Chuan Su, Raviteja Vemulapalli, Ben Weiss, Chun-Te Chu, Philip Andrew Mansfield, Lior Shapira, Colvin Pitts:
Camera View Adjustment Prediction for Improving Image Composition. - Michelle Yuan, Patrick Xia, Benjamin Van Durme, Jordan L. Boyd-Graber:
Adaptive Active Learning for Coreference Resolution. - Nasrin Taghizadeh
, Ehsan Doostmohammadi, Elham Seifossadat, Hamid R. Rabiee, Maedeh-sadat Tahaei:
SINA-BERT: A pre-trained Language Model for Analysis of Medical Texts in Persian. - Hongde Wu, Noel E. O'Connor, Jennifer Bruton, Mingming Liu:
An ADMM-based Optimal Transmission Frequency Management System for IoT Edge Intelligence. - Michael Meindl, Fabio Molinari, Dustin Lehmann, Thomas Seel:
Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks. - Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams:
Sometimes We Want Translationese. - Diego Monteiro, Xian Wang, Hai-Ning Liang, Yiyu Cai:
Spatial Knowledge Acquisition in Virtual and Physical Reality: A Comparative Evaluation. - Yuanzhe Jin, Chenrui Zhang, Maorong Wang:
Otaku: Intelligent Management System for Student-Intensive Dormitory. - Hossein Rajaby Faghihi
, Parisa Kordjamshidi:
Time-Stamped Language Model: Teaching Language Models to Understand the Flow of Events. - Yuchen Lian, Arianna Bisazza, Tessa Verhoef:
The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning. - Xian Li, Hongyu Gong:
Demystify Optimization Challenges in Multilingual Transformers. - Chih-chan Tien, Shane Steinert-Threlkeld:
Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining. - Swarnadeep Saha, Prateek Yadav, Lisa Bauer, Mohit Bansal:
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning. - Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang:
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. - Sara Rosenthal, Mihaela A. Bornea, Avirup Sil:
Are Multilingual BERT models robust? A Case Study on Adversarial Attacks for Multilingual Question Answering. - Xiang Chen, Ningyu Zhang
, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. - Lukas Heumos, Philipp Ehmele, Kevin Menden, Luis Kuhn Cuellar
, Edmund Miller
, Steffen Lemke, Gisela Gabernet, Sven Nahnsen:
mlf-core: a framework for deterministic machine learning. - Robin Rombach, Patrick Esser, Björn Ommer:
Geometry-Free View Synthesis: Transformers and no 3D Priors. - Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. - Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie:
Self-supervised Video Object Segmentation by Motion Grouping. - Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu:
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds. - Qianli Ma, Shunsuke Saito, Jinlong Yang, Siyu Tang, Michael J. Black:
SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements. - Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Lu Yuan, Gang Hua, Nenghai Yu:
A Simple Baseline for StyleGAN Inversion. - Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak:
Auto-Tuned Sim-to-Real Transfer. - Cristina Maria Pacurar, Ruxandra-Gabriela Albu, Victor-Dan Pacurar:
Tourist route optimization in the context of Covid-19 pandemic. - Antoine Rolland
, Jean-Baptiste Aubin, Irène Gannaz, Samuela Leoni:
A Note on Data Simulations for Voting by Evaluation. - Ziyun Kan, Kaijun Dong, Biaosong Chen, Haijun Peng, Xueguan Song:
The direct force correction based framework for general co-rotational analysis. - Mariano Perez Chaher, Bayu Jayawardhana, Junsoo Kim:
Fully Homomorphic Encryption-enabled Distance-based Distributed Formation Control with Distance Mismatch Estimators. - Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin:
Dual Contrastive Learning for Unsupervised Image-to-Image Translation. - Prafulla Kumar Choubey, Anna Currey, Prashant Mathur, Georgiana Dinu:
Improving Gender Translation Accuracy with Filtered Self-Training. - Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
The Immersion and Invariance Wind Speed Estimator Revisited and New Results. - João Dinis Ferreira
, Gabriel Falcão, Juan Gómez-Luna, Mohammed Alser, Lois Orosa, Mohammad Sadrosadati, Jeremie S. Kim, Geraldo F. Oliveira, Taha Shahroodi, Anant Nori, Onur Mutlu:
pLUTo: In-DRAM Lookup Tables to Enable Massively Parallel General-Purpose Computation. - Jiahua Jiang, Yi Li, Ruchi Guo:
A Deep Direct Sampling Method for Solving Diffusive Optical Tomography. - Alireza Mohammadshahi, James Henderson:
Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling. - Peter Izsak, Moshe Berchansky, Omer Levy:
How to Train BERT with an Academic Budget. - Samantha Chen, Yusu Wang:
Approximation algorithms for 1-Wasserstein distance between persistence diagrams. - Luka Jelovcan, Simon Vrhovec, Damjan Fujs:
Survey about protection motivation on social networking sites: University of Maribor students, 2018. - Xiao Wang, Guo-Jun Qi:
Contrastive Learning with Stronger Augmentations. - Vahid Chegeni, H. Haj Seyyed Javadi, Mohammad Reza Moazami Goudarzi, Afshin Rezakhani:
Providing a hybrid cryptography algorithm for lightweight authentication protocol in RFID with urban traffic usage case. - Guangxing Han, Shiyuan Huang, Jiawei Ma, Yicheng He, Shih-Fu Chang:
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment. - Konstantinos Sikelis, George E. Tsekouras, Konstantinos I. Kotis:
Ontology-based Feature Selection: A Survey. - Hyeok Kim, Dominik Moritz, Jessica Hullman:
Design Patterns and Trade-Offs in Responsive Visualization for Communication. - Hao Zhou, Anye Zhou, Tienan Li, Danjue Chen, Srinivas Peeta, Jorge A. Laval:
Impact of the Low-level Controller on StringStability of Adaptive Cruise Control System. - Hamid Tabani, Fabio Mazzocchetti, Pedro Benedicte, Jaume Abella, Francisco J. Cazorla:
Performance Analysis and Optimization Opportunities for NVIDIA Automotive GPUs. - Yiming Tang, Allan Spektor, Raffi Khatchadourian, Mehdi Bagherzadeh:
Automated Evolution of Feature Logging Statement Levels Using Git Histories and Degree of Interest. - Rahul Bale, Amneet Pal Singh Bhalla, Boyce E. Griffith, Makoto Tsubokura:
A one-sided direct forcing immersed boundary method using moving least squares. - Hossein Rastgoftar, Ilya V. Kolmanovsky
:
Safe Affine Transformation-Based Guidance of a Large-Scale Multi-Quadcopter System (MQS). - Manuel Dossinger, Sebastian Michel:
Optimizing Multiple Multi-Way Stream Joins. - Ramasubramanian Balasubramanian, Venugopal Mani, Abhinav Mathur, Sushant Kumar, Kannan Achan:
Variational Inference for Category Recommendation in E-Commerce platforms. - Yevgen Chebotar, Karol Hausman, Yao Lu, Ted Xiao, Dmitry Kalashnikov, Jake Varley, Alex Irpan, Benjamin Eysenbach, Ryan Julian, Chelsea Finn, Sergey Levine:
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills. - Dennis Lee, Natasha Jaques, J. Chase Kew, Douglas Eck, Dale Schuurmans, Aleksandra Faust:
Joint Attention for Multi-Agent Coordination and Social Learning. - Hajer Ben Mnaouer, Mohammad Faieq, Adel Yousefi, Sarra Ben Mnaouer:
FireFly Autonomous Drone Project. - Eric Lehman, Sarthak Jain, Karl Pichotta, Yoav Goldberg, Byron C. Wallace:
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? - François St-Hilaire, Nathan Burns, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Dung Do Vu, Antoine Frau, Joseph Potochny, Farid Faraji, Vincent Pavero, Neroli Ko, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova, Laurent Charlin, Yoshua Bengio, Iulian Vlad Serban, Ekaterina Kochmar:
Comparative Study of Learning Outcomes for Online Learning Platforms. - Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Exploring Visual Engagement Signals for Representation Learning. - Matthew Tsao, Kaidi Yang, Stephen Zoepf, Marco Pavone:
Trust but Verify: Cryptographic Data Privacy for Mobility Management. - Haojin Yang, Zhen Shen, Yucheng Zhao:
AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks. - Jonas Dann, Daniel Ritter, Holger Fröning:
Demystifying Memory Access Patterns of FPGA-Based Graph Processing Accelerators. - Shubhi Tyagi, Antonio Bonafonte, Jaime Lorenzo-Trueba, Javier Latorre:
Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems. - Devis Tuia, Claudio Persello, Lorenzo Bruzzone:
Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data. - Leah P. Schwartz, Jean Liénard, Stephen V. David:
Impact of gender on the formation and outcome of mentoring relationships in academic research. - Ha-Thanh Nguyen, Le-Minh Nguyen:
Sublanguage: A Serious Issue Affects Pretrained Models in Legal Domain. - Devis Tuia, Michele Volpi, Loris Copa, Mikhail F. Kanevski, Jordi Muñoz-Marí:
A survey of active learning algorithms for supervised remote sensing image classification. - Ibrahim Salim, A. Ben Hamza:
Ridge Regression Neural Network for Pediatric Bone Age Assessment. - Daniel Hernandez Diaz, Siyang Qin, R. Reeve Ingle, Yasuhisa Fujii, Alessandro Bissacco:
Rethinking Text Line Recognition Models. - Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Nicolas Collignon, Rik Sarkar:
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. - Micheal Abaho, Danushka Bollegala, Paula Williamson
, Susanna Dodd:
Detect and Classify - Joint Span Detection and Classification for Health Outcomes. - Devis Tuia, Jordi Muñoz-Marí:
Learning User's confidence for active learning. - Amir Maleki, Jan Heyse, Rishikesh Ranade, Haiyang He, Priya Kasimbeg, Jay Pathak:
Geometry encoding for numerical simulations. - Jihao Long, Jiequn Han, Weinan E:
An L2 Analysis of Reinforcement Learning in High Dimensions with Kernel and Neural Network Approximation. - Sara Cooper, Óscar Villacañas, Luca Marchionni, Francesco Ferro:
Robot to support older people to live independently. - Revanth Gangi Reddy, Vikas Yadav, Md. Arafat Sultan, Martin Franz, Vittorio Castelli, Heng Ji, Avirup Sil:
Towards Robust Neural Retrieval Models with Synthetic Pre-Training. - Devis Tuia, Michele Volpi, Maxime Trolliet, Gustau Camps-Valls:
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images. - Jack Holt, James Nicholson, Jan David Smeddinck:
From Personal Data to Digital Legacy: Exploring Conflicts in the Sharing, Security and Privacy of Post-mortem Data. - Sobhan Naderian:
A Novel Hybrid Deep Learning Approach for Non-Intrusive Load Monitoring of Residential Appliance Based on Long Short Term Memory and Convolutional Neural Networks. - Eddy Hudson, Garrett Warnell, Faraz Torabi, Peter Stone:
Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch. - Zihao He, Negar Mokhberian, António Câmara, Andrés Abeliuk, Kristina Lerman:
Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings. - Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays:
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It. - Mohammadreza Mohseni, Jordan Yap, William Yolland, Majid Razmara, M. Stella Atkins:
Out-of-Distribution Detection for Dermoscopic Image Classification. - Aloysius Lim, Ashish Singh, Jody Chiam, Carly Eckert, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management. - Shashank Sonkar, Arzoo Katiyar, Richard G. Baraniuk:
NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion. - C. M. Downey, Fei Xia, Gina-Anne Levow, Shane Steinert-Threlkeld:
A Masked Segmental Language Model for Unsupervised Natural Language Segmentation. - Ionel Gog, Sukrit Kalra, Peter Schafhalter, Matthew A. Wright, Joseph E. Gonzalez, Ion Stoica:
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles. - Ashwin Paranjape, Christopher D. Manning:
Human-like informative conversations: Better acknowledgements using conditional mutual information. - Xiaonan Jing, Qingyuan Hu, Yi Zhang, Julia Taylor Rayz:
Tracing Topic Transitions with Temporal Graph Clusters. - Gong Zhang, Yang Zhou, Sixing Wu, Zeru Zhang, Dejing Dou:
Cross-lingual Entity Alignment with Adversarial Kernel Embedding and Adversarial Knowledge Translation. - Adithya Renduchintala, Adina Williams:
Investigating Failures of Automatic Translation in the Case of Unambiguous Gender. - Kees Varekamp:
Are Classes Clusters? - Zhengyu Chen, Jixie Ge, Heshen Zhan, Siteng Huang, Donglin Wang:
Pareto Self-Supervised Training for Few-Shot Learning. - Seyedehzahra Khoshmanesh, Tuba Yavuz, Robyn R. Lutz:
Learning Feature Interactions With and Without Specifications. - Nick McKenna, Liane Guillou, Mohammad Javad Hosseini, Sander Bijl de Vroe, Mark Steedman:
Multivalent Entailment Graphs for Question Answering. - Sherlock A. Licorish, Stephen G. MacDonell:
Exploring software developers' work practices: Task differences, participation, engagement, and speed of task resolution. - Aomi Koyama, Kengo Hotate, Masahiro Kaneko, Mamoru Komachi:
Comparison of Grammatical Error Correction Using Back-Translation Models. - Anirban Sinha, Anik Sarker, Nilanjan Chakraborty:
Task Space Planning with Complementarity Constraint-based Obstacle Avoidance. - Manish Motwani:
High-Quality Automated Program Repair. - Anousheh Gholami, Nariman Torkzaban, John S. Baras:
On the Importance of Trust in Next-Generation Networked CPS Systems: An AI Perspective. - Rui Liu, Alex Olshevsky:
Distributed TD(0) with Almost No Communication. - Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He:
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning. - Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie:
Search-oriented Differentiable Product Quantization. - Mingmei Cheng, Le Hui, Jin Xie, Jian Yang:
SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network. - Qiwei Feng, Bin Han, Peter D. Minev:
Sixth Order Compact Finite Difference Scheme for Poisson Interface Problem with Singular Sources. - Zhuo Feng:
SGL: Spectral Graph Learning from Measurements. - David Wan, Chris Kedzie, Faisal Ladhak, Elsbeth Turcan, Petra Galuscáková, Elena Zotkina, Zhengping Jiang, Peter Bell, Kathleen R. McKeown:
Segmenting Subtitles for Correcting ASR Segmentation Errors. - Yaxin Zhu, Yikun Xian, Zuohui Fu, Gerard de Melo, Yongfeng Zhang:
Faithfully Explainable Recommendation via Neural Logic Reasoning. - Denis Newman-Griffis, Jill Fain Lehman, Carolyn P. Rosé
, Harry Hochheiser:
Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research. - Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen:
Deep Stable Learning for Out-Of-Distribution Generalization. - Fanyi Wang, Yihui Zhang:
A De-raining semantic segmentation network for real-time foreground segmentation. - Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Fengying Xie, Jun Shi, Chenghai Xue:
Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions. - Liang Dong
, Wai Hou Lio:
Turbulence-based load alleviation control for wind turbine in extreme turbulence situation. - Mohammadali Hayerikhiyavi, Aleksandar D. Dimitrovski:
A Practical Assessment of the Power Grid Inertia Constant Using PMUs. - Leo Z. Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith:
Probing Across Time: What Does RoBERTa Know and When? - Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu:
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks. - Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He:
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. - Zach Wood-Doughty, Isabel Cachola, Mark Dredze:
Faithful and Plausible Explanations of Medical Code Predictions. - Dawn Drain, Chen Wu, Alexey Svyatkovskiy, Neel Sundaresan:
Generating Bug-Fixes Using Pretrained Transformers. - Ruoxu Cen, Jason Li, Danupon Nanongkai, Debmalya Panigrahi, Thatchaphol Saranurak
:
Minimum Cuts in Directed Graphs via √n Max-Flows. - David Fernández González, Francisco Javier Rodríguez-Lera, Gonzalo Esteban, Camino Fernández Llamas:
SecDocker: Hardening the Continuous Integration Workflow. - Aparna Moitra, Archna Kumar, Aaditeshwar Seth:
An Analysis of Impact Pathways arising from a Mobile-based Community Media Platform in Rural India. - Fabian Clemens Weigend
, Jason Siegler, Oliver Obst:
A New Pathway to Approximate Energy Expenditure and Recovery of an Athlete. - Tudor Cioara, Ionut Anghel, Marcel Antal, Ioan Salomie, Claudia Daniela Antal, Arcas Gabriel Ioan:
An Overview of Digital Twins Application Domains in Smart Energy Grid. - Yanghao Li, Tushar Nagarajan, Bo Xiong, Kristen Grauman:
Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos. - Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah:
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning. - Aashi Jain, Taylor Berg-Kirkpatrick:
An Empirical Study of Extrapolation in Text Generation with Scalar Control. - Shiva Azimi, Rohan Wadhawan, Tapan K. Gandhi:
Identifying Water Stress in Chickpea Plant by Analyzing Progressive Changes in Shoot Images using Deep Learning. - Diana Kirk, Stephen G. MacDonell:
Evolving a Model for Software Process Context: An Exploratory Study. - Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Yannis Panagakis:
Polynomial Networks in Deep Classifiers. - Tianjin Huang
, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy
:
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks. - Dingwen Zhang, Junwei Han, Gong Cheng, Ming-Hsuan Yang:
Weakly Supervised Object Localization and Detection: A Survey. - Oliver Biggar, Mohammad Zamani, Iman Shames:
An expressiveness hierarchy of Behavior Trees and related architectures. - Hung Le, Nancy F. Chen, Steven C. H. Hoi:
VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks. - Miguel Sepulcre, Manuel Gonzalez-Martin, Javier Gozálvez, Rafael Molina-Masegosa:
Analytical Models of the Performance of IEEE 802.11p Vehicle to Vehicle Communications. - Keshav Singh, Paul Reisert, Naoya Inoue, Kentaro Inui:
A Comparative Study on Collecting High-Quality Implicit Reasonings at a Large-scale. - Alessio Cecconi, Adriano Augusto, Claudio Di Ciccio:
Detection of statistically significant differences between process variants through declarative rules. - Marian-Andrei Rizoiu
, Alexander Soen, Shidi Li, Leanne Dong, Aditya Krishna Menon, Lexing Xie:
Interval-censored Hawkes processes. - Jens Rauch, Iyiola E. Olatunji, Megha Khosla:
Achieving differential privacy for k-nearest neighbors based outlier detection by data partitioning. - Roland Aydin, Lars Henning Klein, Arnaud Miribel, Robert West:
Broccoli: Sprinkling Lightweight Vocabulary Learning into Everyday Information Diets. - Amir Hadifar, Sofie Labat, Véronique Hoste, Chris Develder, Thomas Demeester:
A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks. - Daniël Reijsbergen, Zheng Yang, Aung Maw, Tien Tuan Anh Dinh, Jianying Zhou:
Transparent Electricity Pricing with Privacy. - Magnus Jacobsen, Mikkel H. Sørensen, Leon Derczynski
:
Optimal Size-Performance Tradeoffs: Weighing PoS Tagger Models. - Kaili Wang, José Oramas M., Tinne Tuytelaars:
Towards Human-Understandable Visual Explanations: Imperceptible High-frequency Cues Can Better Be Removed. - (Withdrawn) LAI Estimation of Cucumber Crop Based on Improved Fully Convolutional Network.
- Joachim Winther Pedersen, Sebastian Risi:
Evolving and Merging Hebbian Learning Rules: Increasing Generalization by Decreasing the Number of Rules. - Roman Seidel, André Apitzsch
, Gangolf Hirtz:
OmniFlow: Human Omnidirectional Optical Flow. - Mingxing Li, Chang Chen, Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong:
Advanced Deep Networks for 3D Mitochondria Instance Segmentation. - Jason Wang, Robert E. Weiss:
Hierarchical Topic Presence Models. - Le Yang, Fu-Chun Zheng, Shi Jin:
Coverage Probability and Energy Efficiency of Reconfigurable Intelligent Surface-Assisted mmWave Networks. - Vincent Micheli, François Fleuret:
Language Models are Few-Shot Butlers. - Fedor V. Fomin, Petr A. Golovach, Nidhi Purohit:
Parameterized Complexity of Categorical Clustering with Size Constraints. - Rongtai Caiand Peng Zhu:
Occlusion-aware Visual Tracker using Spatial Structural Information and Dominant Features. - Francisco Javier García Gómez, Gerhard Kramer:
Mismatched Models to Lower Bound the Capacity of Dual-Polarization Optical Fiber Channels. - Armin Bazrafkan, Marija Poposka, Zoran Hadzi-Velkov, Nikola Zlatanov:
A Simple Single RF-Chain Multi-Antenna Full-Duplex Relay Can Outperform An Intelligent Reflecting Surface. - Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan:
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image. - Fabian Mager, Dominik Baumann, Carsten Herrmann, Sebastian Trimpe, Marco Zimmerling:
Scaling Beyond Bandwidth Limitations: Wireless Control With Stability Guarantees Under Overload. - Clemens Kirisits, Michael Quellmalz, Monika Ritsch-Marte, Otmar Scherzer, Eric Setterqvist, Gabriele Steidl:
Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations. - Xiangteng He, Yulin Pan, Mingqian Tang, Yiliang Lv:
Self-supervised Video Retrieval Transformer Network. - Lilin Cheng, Suzhe Wang, Zhimeng Zhang, Yu Ding, Yixing Zheng, Xin Yu, Changjie Fan:
Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation. - Narendra Chaudhary, Sanchit Misra, Dhiraj D. Kalamkar, Alexander Heinecke, Evangelos Georganas, Barukh Ziv, Menachem Adelman, Bharat Kaul:
Efficient and Generic 1D Dilated Convolution Layer for Deep Learning. - Florent Foucaud, Hervé Hocquard, Dimitri Lajou:
Complexity and algorithms for injective edge-coloring in graphs. - Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan:
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. - Christof Beierle, Claude Carlet, Gregor Leander, Léo Perrin:
A Further Study of Quadratic APN Permutations in Dimension Nine. - Andreas Kurth, Fabian Schuiki, Luca Benini:
Implementing CNN Layers on the Manticore Cluster-Based Many-Core Architecture. - Ezra Tampubolon, Holger Boche:
Welfare Measure for Resource Allocation with Algorithmic Implementation: Beyond Average and Max-Min. - Jack D. Betteridge, Patrick E. Farrell, David A. Ham:
Code generation for productive portable scalable finite element simulation in Firedrake. - Pierre Zins, Yuanlu Xu, Edmond Boyer, Stefanie Wuhrer, Tony Tung:
Learning Implicit 3D Representations of Dressed Humans from Sparse Views. - Marcelo Arenas, Pablo Barceló, Leopoldo E. Bertossi, Mikaël Monet:
On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results. - Stuart Lee
, Dianne Cook, Natalia da Silva, Ursula Laa, Earo Wang, Nicholas Spyrison, H. Sherry Zhang:
A Review of the State-of-the-Art on Tours for Dynamic Visualization of High-dimensional Data. - Abdullah Al Ishtiaq
, Masum Hasan, Md. Mahim Anjum Haque, Kazi Sajeed Mehrab, Tanveer Muttaqueen, Tahmid Hasan, Anindya Iqbal, Rifat Shahriyar:
BERT2Code: Can Pretrained Language Models be Leveraged for Code Search? - Bo Zhao, Peng Sun, Liming Fang, Tao Wang, Keyu Jiang:
FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning. - Dong Hu, Alex Gittens, Malik Magdon-Ismail:
NoisyCUR: An algorithm for two-cost budgeted matrix completion. - Fangyu Liu, Ivan Vulic, Anna Korhonen, Nigel Collier:
Fast, Effective and Self-Supervised: Transforming Masked LanguageModels into Universal Lexical and Sentence Encoders. - Asahi Ushio, Federico Liberatore, José Camacho-Collados:
Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction. - Helena Russello, Rik van der Tol, Gert Kootstra:
T-LEAP: occlusion-robust pose estimation of walking cows using temporal information. - Young Hwi Kim, Seonghyeon Nam, Seon Joo Kim:
Temporally smooth online action detection using cycle-consistent future anticipation. - Daniel Kelly, Frank G. Glavin, Enda Barrett:
Denial of Wallet - Defining a Looming Threat to Serverless Computing. - Alexandre Mazel, Silviu Matu:
DREAM Lite: Simplifying Robot Assisted Therapy for ASD. - Ekta Prashnani, Orazio Gallo, Joohwan Kim, Josef B. Spjut, Pradeep Sen, Iuri Frosio:
Noise-Aware Saliency Prediction for Videos with Incomplete Gaze Data. - Martin Strohbach, Luis Adan Saavedra, Pavel Smirnov, Stefaniia Legostaieva:
Smart Home Crawler: Towards a framework for semi-automatic IoT sensor integration. - Wonseok Hwang, Hyunji Lee, Jinyeong Yim, Geewook Kim, Minjoon Seo:
Cost-effective End-to-end Information Extraction for Semi-structured Document Images. - Peilun Wu, Shiyi Yang, Hui Guo:
Holmes: An Efficient and Lightweight Semantic Based Anomalous Email Detector. - Rachit S. Munjal, Manoj Goyal, Rutika Moharir, Sukumar Moharana:
TeLCoS: OnDevice Text Localization with Clustering of Script. - Tomasz Kapela, Daniel Wilczak, Piotr Zgliczynski:
Recent advances in rigorous computation of Poincaré maps. - Özlem Tugfe Demir, Emil Björnson, Luca Sanguinetti:
Cell-Free Massive MIMO with Large-Scale Fading Decoding and Dynamic Cooperation Clustering. - Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman:
A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning. - George Kesidis, Takis Konstantopoulos, Michael A. Zazanis:
Age of information without service preemption. - Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Optimizing Dense Retrieval Model Training with Hard Negatives. - Manoj Goyal, Rachit S. Munjal, Sukumar Moharana, Deepak Garg, Debi Prasanna Mohanty, Siva Prasad Thota:
ScreenSeg: On-Device Screenshot Layout Analysis. - Pierre-Alain Fayolle:
Signed Distance Function Computation from an Implicit Surface. - Danilo Numeroso, Davide Bacciu:
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks. - Jakiw Pidstrigach, Sebastian Reich:
Affine-invariant ensemble transform methods for logistic regression. - Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra:
Introduction to Big data Technology. - Ermes Franch, Chunlei Li:
Low Row Rank Parity Check Codes. - Taichi Iki, Akiko Aizawa:
Effect of Vision-and-Language Extensions on Natural Language Understanding in Vision-and-Language Models. - Somayeh Malakuti, Jens Heuschkel:
The Need for Holistic Technical Debt Management across the Value Stream: Lessons Learnt and Open Challenges. - Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow:
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning. - Iqbal H. Sarker:
CyberLearning: Effectiveness Analysis of Machine Learning Security Modeling to Detect Cyber-Anomalies and Multi-Attacks. - Elliot Schumacher, James Mayfield, Mark Dredze:
Improving Zero-Shot Multi-Lingual Entity Linking. - Domenic Rosati:
Citations are not opinions: a corpus linguistics approach to understanding how citations are made. - Claudio Bettini, Gabriele Civitarese, Riccardo Presotto:
Personalized Semi-Supervised Federated Learning for Human Activity Recognition. - Tianping Li, Zhifeng Liu, Jianping Qiao:
Multiple feature fusion-based video face tracking for IoT big data. - Jacob de Nobel, Hao Wang, Thomas Bäck:
Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants. - Zhao Wang, Yifan Hu, Jun Xiao, Chao Wu:
Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent. - Lars Gottesbüren, Tobias Heuer, Peter Sanders, Sebastian Schlag:
Shared-Memory n-level Hypergraph Partitioning. - Shir Gur, Natalia Neverova, Christopher Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter:
Cross-Modal Retrieval Augmentation for Multi-Modal Classification. - Abanoub M. Girgis
, Hyowoon Seo, Jihong Park, Mehdi Bennis, Jinho Choi:
Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction. - Moustafa Al-Hajj, Mustafa Jarrar:
LU-BZU at SemEval-2021 Task 2: Word2Vec and Lemma2Vec performance in Arabic Word-in-Context disambiguation. - Paris Carbone, György Dán, James Gross, Bo Goeransson, Marina Petrova:
NeuroRAN: Rethinking Virtualization for AI-native Radio Access Networks in 6G. - Navya Nagananda, Breton L. Minnehan, Andreas E. Savakis:
Grassmann Iterative Linear Discriminant Analysis with Proxy Matrix Optimization. - Paul Röttger, Janet B. Pierrehumbert:
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media. - Subham Nagar, Ahlad Kumar:
Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN AutoEncoder. - Mounir Bensalem, Admela Jukan:
On the Effectiveness of Various Machine Learning Algorithms for THz Channel Estimation. - Arash Kalatian, Bilal Farooq:
A context-aware pedestrian trajectory prediction framework for automated vehicles. - Dac Tung Vu, Juan Luis Gonzalez, Munchurl Kim:
Exploiting Global and Local Attentions for Heavy Rain Removal on Single Images. - Maximiliano Cristiá, Gianfranco Rossi:
log: Set Formulas as Programs. - Yousef Navidtehrani, Covadonga Betegón, Emilio Martínez-Pañeda:
A simple and robust Abaqus implementation of the phase field fracture method. - Marc J. van Kreveld
, Frank Staals, Amir Vaxman, Jordi L. Vermeulen:
Approximating the Earth Mover's Distance between sets of geometric objects. - An T. Le, Philipp Kratzer, Simon Hagenmayer, Marc Toussaint, Jim Mainprice:
Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks. - Junliang Guo, Zhirui Zhang, Linlin Zhang, Linli Xu, Boxing Chen, Enhong Chen, Weihua Luo:
Towards Variable-Length Textual Adversarial Attacks. - Joe Stacey, Yonatan Belinkov, Marek Rei:
Natural Language Inference with a Human Touch: Using Human Explanations to Guide Model Attention. - Raymond van Venetië, Jan Westerdiep:
Efficient space-time adaptivity for parabolic evolution equations using wavelets in time and finite elements in space. - Keyur Faldu, Amit P. Sheth, Prashant Kikani, Hemang Akabari:
KI-BERT: Infusing Knowledge Context for Better Language and Domain Understanding. - Radhakrishna Achanta, Natasa Tagasovska:
Uncertainty Surrogates for Deep Learning. - Dominik Alfke, Miriam Gondos, Lucile Peroche, Martin Stoll:
A Study of Graph-Based Approaches for Semi-Supervised Time Series Classification. - Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, Lei Li:
Serial or Parallel? Plug-able Adapter for multilingual machine translation. - Robin Tu, Alexander H. Foss, Sihai D. Zhao:
Capturing patterns of variation unique to a specific dataset. - Julian D. Cortes
, Diego Garcia, Edgar Rodriguez, Diana Pineda:
Governance for Security, Risks, Competition and Cooperation: Mapping the knowledge. - Shaofei Wang, Andreas Geiger, Siyu Tang:
Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration. - Yanai Elazar, Hongming Zhang, Yoav Goldberg, Dan Roth:
Back to Square One: Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema. - Nicola De Cao, Wilker Aziz, Ivan Titov:
Editing Factual Knowledge in Language Models. - Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias W. Seeger, Cédric Archambeau:
Overfitting in Bayesian Optimization: an empirical study and early-stopping solution. - Donghan Yu, Yiming Yang:
Improving Hyper-Relational Knowledge Graph Completion. - Max H. Cohen, Calin Belta:
Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions. - Gary Phua, Shaowei Lin, Dario Poletti:
Word2rate: training and evaluating multiple word embeddings as statistical transitions. - Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
Shadow-Mapping for Unsupervised Neural Causal Discovery. - Yu Zhang, Moming Duan, Duo Liu, Li Li, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang:
CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework. - Matias Valdenegro-Toro:
I Find Your Lack of Uncertainty in Computer Vision Disturbing. - Vukan Ninkovic, Dejan Vukobratovic, Christian Häger, Henk Wymeersch, Alexandre Graell i Amat:
Autoencoder-Based Unequal Error Protection Codes. - Salman Khan, Fabio Cuzzolin:
Spatiotemporal Deformable Models for Long-Term Complex Activity Detection. - Alexandru Rinciog
, Anne Meyer
:
Towards Standardizing Reinforcement Learning Approaches for Stochastic Production Scheduling. - Anna A. Ivanova, John Hewitt, Noga Zaslavsky:
Probing artificial neural networks: insights from neuroscience. - Samuel Cahyawijaya, Genta Indra Winata, Bryan Wilie, Karissa Vincentio, Xiaohong Li, Adhiguna Kuncoro, Sebastian Ruder, Zhi Yuan Lim, Syafri Bahar, Masayu Leylia Khodra, Ayu Purwarianti, Pascale Fung:
IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation. - Yanan Sun, Chi-Keung Tang, Yu-Wing Tai:
Semantic Image Matting. - Or Honovich, Leshem Choshen, Roee Aharoni, Ella Neeman, Idan Szpektor, Omri Abend:
Q2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering. - Tesfamariam M. Abuhay
, Adane Letta Mamuye, Stewart Robinson, Sergey V. Kovalchuk:
Why Machine Learning Integrated Patient Flow Simulation? - Kate Sim, Andrew Brown, Amelia Hassoun:
Thinking Through and Writing About Research Ethics Beyond "Broader Impact". - Elizabeth Salesky, David Etter, Matt Post:
Robust Open-Vocabulary Translation from Visual Text Representations. - Dmitry Kalashnikov, Jacob Varley, Yevgen Chebotar, Benjamin Swanson, Rico Jonschkowski, Chelsea Finn, Sergey Levine, Karol Hausman:
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale. - Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang:
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization. - George Chrysostomou, Nikolaos Aletras:
Variable Instance-Level Explainability for Text Classification. - Alexander Richard, Michael Zollhöfer, Yandong Wen, Fernando De la Torre, Yaser Sheikh:
MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement. - Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors. - Ilya Zakharkin, Kirill Mazur, Artur Grigorev, Victor Lempitsky:
Point-Based Modeling of Human Clothing. - Xiang Gao, Yizhe Zhang, Michel Galley, Bill Dolan:
An Adversarially-Learned Turing Test for Dialog Generation Models. - Elizabeth A. Barnes, Randal J. Barnes:
Controlled abstention neural networks for identifying skillful predictions for regression problems. - Michael O'Neill, Anthony Brabazon:
An exploration of asocial and social learning in the evolution of variable-length structures. - Jiawei Liu, Zheng-Jun Zha, Wei Wu, Kecheng Zheng, Qibin Sun:
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos. - Abdelkrim Alahyane, Mohamed El Fakir, Saad Benjelloun, Ikram Chairi:
Open data for Moroccan license plates for OCR applications : data collection, labeling, and model construction. - Clifton Poth, Jonas Pfeiffer, Andreas Rücklé
, Iryna Gurevych:
What to Pre-Train on? Efficient Intermediate Task Selection. - Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi:
proScript: Partially Ordered Scripts Generation via Pre-trained Language Models. - Rune Krauss, Marcel Merten, Mirco Bockholt, Rolf Drechsler:
ALF - A Fitness-Based Artificial Life Form for Evolving Large-Scale Neural Networks. - Luyu Gao, Jamie Callan:
Is Your Language Model Ready for Dense Representation Fine-tuning? - Xiaonan Jing, Yi Zhang, Qingyuan Hu, Julia Taylor Rayz:
Modeling Fuzzy Cluster Transitions for Topic Tracing. - Linlin Zhang:
Context-Adaptive Document-Level Neural Machine Translation. - Rohan Sinha, James Harrison, Spencer M. Richards, Marco Pavone:
Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty. - Haiwang Yu, Zhihua Dong, Kyle Knoepfel, Meifeng Lin, Brett Viren, Kwangmin Yu:
Evaluation of Portable Acceleration Solutions for LArTPC Simulation Using Wire-Cell Toolkit. - Kamana Porwal, Tanvi:
Unified Analysis of Discontinuous Galerkin Methods for Frictional Contact Problem with normal compliance. - Ugo Rosolia, Aaron D. Ames:
Iterative Model Predictive Control for Piecewise Systems. - Akhila Yerukola, Mason Bretan, Hongxia Jin:
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase. - Ioana Croitoru, Simion-Vlad Bogolin, Yang Liu, Samuel Albanie, Marius Leordeanu, Hailin Jin, Andrew Zisserman:
TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval. - Yu Wang, Lichao Sun:
Membership Inference Attacks on Knowledge Graphs. - Matthias Hofer, Tuan Anh Le, Roger Levy, Joshua B. Tenenbaum:
Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model. - Sriram Narayanan, Ramin Moslemi, Francesco Pittaluga, Buyu Liu, Manmohan Chandraker:
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction. - Bingbing Zhuang, Manmohan Chandraker:
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty. - Nafise Sadat Moosavi, Andreas Rücklé
, Dan Roth, Iryna Gurevych:
Learning to Reason for Text Generation from Scientific Tables. - Masum Hasan, Kazi Sajeed Mehrab, Wasi Uddin Ahmad, Rifat Shahriyar:
Text2App: A Framework for Creating Android Apps from Text Descriptions. - Michael R. Glass, Mustafa Canim, Alfio Gliozzo, Saneem A. Chemmengath, Vishwajeet Kumar, Rishav Chakravarti, Avi Sil, Feifei Pan, Samarth Bharadwaj, Nicolas Rodolfo Fauceglia:
Capturing Row and Column Semantics in Transformer Based Question Answering over Tables. - Abhyuday Jagannatha, Bhanu Pratap Singh Rawat, Hong Yu:
Membership Inference Attack Susceptibility of Clinical Language Models. - Zimin Chen, Steve Kommrusch, Martin Monperrus:
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code. - Brian B. Maranville:
An implementation of an efficient direct Fourier transform of polygonal areas and volumes. - Robert Heumüller:
Learning to Boost the Efficiency of Modern Code Review. - Benjamin Devillers, Romain Bielawski, Bhavin Choksi, Rufin VanRullen
:
Does language help generalization in vision models? - Hossam Amer, Ahmed H. Salamah, Ahmad Sajedi, En-Hui Yang:
High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks. - Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer:
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. - Charles Bonnineau, Wassim Hamidouche, Jean-François Travers, Naty Sidaty, Olivier Déforges:
Multitask Learning for VVC Quality Enhancement and Super-Resolution. - Katerina Margatina, Loïc Barrault, Nikolaos Aletras:
Bayesian Active Learning with Pretrained Language Models. - Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild:
libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations. - David Stutz
, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele:
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators. - Ekrem Çetinkaya, Hadi Amirpour
, Mohammad Ghanbari, Christian Timmerer:
CTU Depth Decision Algorithms for HEVC: A Survey. - Zhe Xu, Federico M. Zegers, Bo Wu, Alexander J. Phillips, Warren E. Dixon, Ufuk Topcu:
Controller Synthesis for Multi-Agent Systems with Intermittent Communication and Metric Temporal Logic Specifications. - Midriem Mirdanies, Roni Permana Saputra:
Experimental review of distance sensors for indoor mapping. - Roni Permana Saputra, Estiko Rijanto:
Automatic Guided Vehicles System and Its Coordination Control for Containers Terminal Logistics Application. - Farah Natiq Kassab bashi, Shawkat Sabah Khairullah:
A survey on Dependable Digital Systems using FPGAs: Current Methods and Challenges. - Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair:
Demystifying BERT: Implications for Accelerator Design. - Chunhua Ye, Zhong Yin, Chenxi Wu, Xiayidai Abulaiti, Yixing Zhang, Zhenqi Sun, Jianhua Zhang:
Identification of mental fatigue in language comprehension tasks based on EEG and deep learning. - Will Pazner, Terry S. Haut:
A short note on the accuracy of the discontinuous Galerkin method with reentrant faces. - Alexandros Ioannidis
:
An Analysis of a BERT Deep Learning Strategy on a Technology Assisted Review Task. - Sjoerd Geevers, Roland Maier:
Fast mass lumped multiscale wave propagation modelling. - Donya Nojavanzadeh, Zhenwei Liu, Ali Saberi, Anton A. Stoorvogel:
H_\infty Almost Output and Regulated Output Synchronization of Heterogeneous Multi-agent Systems: A Scale-free Protocol Design. - Rujun Han, I-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth, Nanyun Peng:
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning. - Pablo V. A. Barros, Alessandra Sciutti:
I Only Have Eyes for You: The Impact of Masks On Convolutional-Based Facial Expression Recognition. - Samuel H. Christie V., Amit K. Chopra, Munindar P. Singh:
Hercule: Representing and Reasoning about Norms as a Foundation for Declarative Contracts over Blockchain. - Owen Lockwood:
In Defense of the Paper. - Artur Grigorev, Karim Iskakov, Anastasia Ianina, Renat Bashirov, Ilya Zakharkin, Alexander Vakhitov, Victor Lempitsky:
StylePeople: A Generative Model of Fullbody Human Avatars. - Shijian Li, Oren Mangoubi, Lijie Xu, Tian Guo:
Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning. - Mauricio Cassola, Agustín Talagorria, Alberto Pardo, Marcos Viera:
A Gradual Type System for Elixir. - Ameni Trabelsi, J. Ross Beveridge, Nathaniel Blanchard:
Drowned out by the noise: Evidence for Tracking-free Motion Prediction. - Jun-Teng Yang, Guei-Ming Liu, Scott C.-H. Huang:
Multimodal Deception Detection in Videos via Analyzing Emotional State-based Feature. - Elisa Kreiss, Noah D. Goodman, Christopher Potts:
Concadia: Tackling image accessibility with context. - Asit K. Mishra, Jorge Albericio Latorre, Jeff Pool, Darko Stosic, Dusan Stosic, Ganesh Venkatesh, Chong Yu, Paulius Micikevicius:
Accelerating Sparse Deep Neural Networks. - Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell:
Robust Object Detection via Instance-Level Temporal Cycle Confusion. - Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag, Prateek Mittal:
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries. - Jingnan Shi, Heng Yang, Luca Carlone:
Optimal Pose and Shape Estimation for Category-level 3D Object Perception. - Mohammad Sadegh Rasooli, Chris Callison-Burch, Derry Tanti Wijaya:
"Wikily" Neural Machine Translation Tailored to Cross-Lingual Tasks. - Jindrich Libovický, Alexander Fraser:
Neural String Edit Distance. - Chenqiu Zhao, Kangkang Hu, Anup Basu:
Arithmetic Distribution Neural Network for Background Subtraction. - Viresh Ranjan, Udbhav Sharma, Thu Nguyen, Minh Hoai:
Learning To Count Everything. - Ronald Cardenas, Matthias Galle, Shay B. Cohen:
Unsupervised Extractive Summarization by Human Memory Simulation. - Mohsen Alam, Benjamín Cevallos, Oscar Flores, Randall Lunetto, Kotaro Yayoshi, Jongwook Woo:
Yelp Dataset Analysis using Scalable Big Data. - George Stoica, Emmanouil Antonios Platanios, Barnabás Póczos:
Re-TACRED: Addressing Shortcomings of the TACRED Dataset. - Jiaao Chen, Diyi Yang:
Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs. - Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark:
Enriching a Model's Notion of Belief using a Persistent Memory. - Cho-Ying Wu, Qiangeng Xu, Ulrich Neumann:
Accurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Network. - Junghoon Kim, Bruno Clerckx:
Wireless Information and Power Transfer for IoT: Pulse Position Modulation, Integrated Receiver, and Experimental Validation. - Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky:
LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding. - Zhengxuan Wu, Nelson F. Liu, Christopher Potts:
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. - Emily Allaway, Shuai Wang, Miguel Ballesteros:
Sequential Cross-Document Coreference Resolution. - Kevin Murphy, Abhishek Kumar, Stelios Serghiou:
Risk score learning for COVID-19 contact tracing apps. - Roger R. F. Araújo, Lutz Gross, Samuel Xavier de Souza:
Boosting Memory Access Locality of the Spectral Element Method with Hilbert Space-Filling Curves. - Mohanad Obeed, Anas Chaaban:
Joint Beamforming Design for Multiuser MISO Downlink Aided by a Reconfigurable Intelligent Surface and a Relay. - Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, Matthew Brown:
FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling. - Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung:
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. - Kira A. Selby, Yinong Wang, Ruizhe Wang, Peyman Passban, Ahmad Rashid, Mehdi Rezagholizadeh, Pascal Poupart:
Robust Embeddings Via Distributions. - Marc Treu, Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen:
Fashion-Guided Adversarial Attack on Person Segmentation. - N. Sukumar, Ankit Srivastava:
Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks. - Thomas Fork
, H. Eric Tseng, Francesco Borrelli:
Models and Predictive Control for Nonplanar Vehicle Navigation. - Kaiqi Fu, Jones Lin, Dengfeng Ke, Yanlu Xie, Jinsong Zhang, Binghuai Lin:
A Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniques. - Paolo Tell, Stephen G. MacDonell, Sherlock A. Licorish:
3rd Workshop on Hybrid Development Approaches in Software System Development. - Marcelo Schmitt Laser, Duc Minh Le, Joshua Garcia, Nenad Medvidovic:
Architectural Archipelagos: Technical Debt in Long-Lived Software Research Platforms. - Angana Borah, Manash Pratim Barman, Amit Awekar:
Are Word Embedding Methods Stable and Should We Care About It? - Raja Natarajan, Suneel Sarswat, Abhishek Kr Singh:
Verified Double Sided Auctions for Financial Markets. - Rohitash Chandra, Ayush Bhagat, Manavendra Maharana, Pavel N. Krivitsky:
Bayesian graph convolutional neural networks via tempered MCMC. - Ercument Ilhan, Jeremy Gow, Diego Perez Liebana:
Learning on a Budget via Teacher Imitation. - Ercument Ilhan, Jeremy Gow, Diego Perez Liebana:
Action Advising with Advice Imitation in Deep Reinforcement Learning. - Yongqi Li, Wenjie Li, Liqiang Nie:
A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering. - Yuqi Si, Kirk Roberts:
Hierarchical Transformer Networks for Longitudinal Clinical Document Classification. - Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi:
Joint Passage Ranking for Diverse Multi-Answer Retrieval. - Ramon Izquierdo-Cordova, Walterio W. Mayol-Cuevas:
Towards Efficient Convolutional Network Models with Filter Distribution Templates. - Nicole X. Han, William Yang Wang, Miguel P. Eckstein:
Gaze Perception in Humans and CNN-Based Model. - Yongqi Li, Wenjie Li:
Data Distillation for Text Classification. - Xiyun Li, Yong Xu, Meng Yu, Shi-Xiong Zhang, Jiaming Xu, Bo Xu, Dong Yu:
MIMO Self-attentive RNN Beamformer for Multi-speaker Speech Separation. - Zhe Hu, Zuohui Fu, Yu Yin, Gerard de Melo, Cheng Peng:
Context-Aware Interaction Network for Question Matching. - Simon Le Cleac'h, Mac Schwager, Zachary Manchester:
ALGAMES: A Fast Augmented Lagrangian Solver for Constrained Dynamic Games. - Lei Xu, Kalyan Veeramachaneni:
Attacking Text Classifiers via Sentence Rewriting Sampler. - Nouha Dziri, Andrea Madotto, Osmar R. Zaïane, Avishek Joey Bose:
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding. - Shanqing Yu, Jie Jin, Yunyi Xie, Jie Shen, Qi Xuan:
Ponzi Scheme Detection in EthereumTransaction Network. - Patrick Xia, Benjamin Van Durme:
Moving on from OntoNotes: Coreference Resolution Model Transfer. - Kosuke Toda, Naomi Kuze, Toshimitsu Ushio:
Modeling and control of decision-making of miners in blockchain. - Yi-Jheng Lin, Cheng-Shang Chang:
PPoL: A Periodic Channel Hopping Sequence with Nearly Full Rendezvous Diversity. - Sitanshu Gakkhar, Matilde Marcolli:
Syntactic structures and the general Markov models. - Akhila Sri Manasa Venigalla, Dheeraj Vagavolu, Sridhar Chimalakonda:
SurviveCovid-19++ : A collaborative healthcare game towards educating people about safety measures and vaccination for Covid-19. - Naomi Tachikawa Shapiro, Amandalynne Paullada, Shane Steinert-Threlkeld:
A multilabel approach to morphosyntactic probing. - Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky:
Frequency-based Distortions in Contextualized Word Embeddings. - Yiming Zhao, Lin Bai, Ziming Zhang, Xinming Huang:
A Surface Geometry Model for LiDAR Depth Completion. - Dario Cavallaro, Till Fluschnik:
3-Coloring on Regular, Planar, and Ordered Hamiltonian Graphs. - Haibin Yu, Dapeng Liu, Bryan Kian Hsiang Low, Patrick Jaillet:
Convolutional Normalizing Flows for Deep Gaussian Processes. - Seiichiro Kondo, Kengo Hotate, Masahiro Kaneko, Mamoru Komachi:
Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation. - Jianhua Yuan
, Yanyan Zhao, Bing Qin, Ting Liu:
Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification. - Ofer Sabo, Yanai Elazar, Yoav Goldberg, Ido Dagan:
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes. - Kush Bhatia, Peter L. Bartlett, Anca D. Dragan, Jacob Steinhardt:
Agnostic learning with unknown utilities. - Yang Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang:
Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. - Pan Li, Alexander Tuzhilin:
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations. - Eltayeb Ahmed, Luisa M. Zintgraf, Christian A. Schröder de Witt, Nicolas Usunier:
A Self-Supervised Auxiliary Loss for Deep RL in Partially Observable Settings. - Raman Singh, Ark Nandan Singh Chauhan, Hitesh Tewari:
Blockchain-Enabled End-to-End Encryption for Instant Messaging Applications. - Raman Singh, Hitesh Tewari:
Blockchain-Enabled NextGen Service Architecture for Mobile Internet Offload. - Mingjian Zhu, Kai Han, Yehui Tang, Yunhe Wang:
Visual Transformer Pruning. - Jakub Tetek:
Approximate Triangle Counting via Sampling and Fast Matrix Multiplication. - Suman Banerjee, Bithika Pal:
Budgeted Influence and Earned Benefit Maximization with Tags in Social Networks. - Lingyu Zhu
, Esa Rahtu:
Visually Guided Sound Source Separation and Localization using Self-Supervised Motion Representations. - Meng Liu, Longbiao Wang, Kong Aik Lee, Hanyi Zhang, Chang Zeng, Jianwu Dang:
Exploring Deep Learning for Joint Audio-Visual Lip Biometrics. - Omer Goldman, Reut Tsarfaty:
Minimal Supervision for Morphological Inflection. - Shanmukh Reddy Manne, Kiran Kumar Vupparaboina, Gowtham Chowdary Gudapati, Ram Anudeep Peddoju, Chandra Prakash Konkimalla, Abhilash Goud, Sarforaz Bin Bashar, Jay Chhablani, Soumya Jana:
Efficient Screening of Diseased Eyes based on Fundus Autofluorescence Images using Support Vector Machine. - Minori Toyoda, Kanata Suzuki, Hiroki Mori, Yoshihiko Hayashi, Tetsuya Ogata:
Embodying Pre-Trained Word Embeddings Through Robot Actions. - Yi Mao, Stacey R. Beck, Benjamin Bartek, Beatriz Cabrera, Rachell Calhoun, David Coe, Jakob Cronberg, Suren Nalluri, Bradley Merrill Thompson:
Quantifying the Need for Attorney Pro Bono Services in Connection with the Social Determinants of Health. - Xiaoyang Chen, Kai Hui
, Ben He, Xianpei Han, Le Sun, Zheng Ye:
Co-BERT: A Context-Aware BERT Retrieval Model Incorporating Local and Query-specific Context. - Daniela Gerz, Pei-Hao Su, Razvan Kusztos, Avishek Mondal, Michal Lis, Eshan Singhal, Nikola Mrksic, Tsung-Hsien Wen, Ivan Vulic:
Multilingual and Cross-Lingual Intent Detection from Spoken Data. - Muhammed Kocabas, Chun-Hao P. Huang, Otmar Hilliges, Michael J. Black:
PARE: Part Attention Regressor for 3D Human Body Estimation. - Yu Qiao, Zhou Wei, Elma Kerz, Ralf Schlüter:
The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech. - Malik H. Altakrori, Jackie Chi Kit Cheung, Benjamin C. M. Fung:
The Topic Confusion Task: A Novel Scenario for Authorship Attribution. - Kevin Stowe, Iryna Gurevych:
Combating Temporal Drift in Crisis with Adapted Embeddings. - Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Mona T. Diab:
Multi-Perspective Abstractive Answer Summarization. - Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray:
DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages. - Jiajun Deng, Zhengyuan Yang, Tianlang Chen, Wengang Zhou, Houqiang Li:
TransVG: End-to-End Visual Grounding with Transformers. - Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu:
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. - Katya Kudashkina, Yi Wan, Abhishek Naik, Richard S. Sutton:
Planning with Expectation Models for Control. - Zhen Wang, Shan-Shan Wang, Lan Bai, Wensi Wang, Yuan-Hai Shao:
Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints. - Michal Koziarski:
Potential Anchoring for imbalanced data classification. - Maxim Penner, Muhammad Nabeel, Jürgen Peissig:
Link-Level Performance Evaluation of IMT-2020 Candidate Technology: DECT-2020 New Radio. - Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze:
Multi-source Neural Topic Modeling in Multi-view Embedding Spaces. - Manoj Basnet
, Mohd. Hasan Ali:
Exploring Cybersecurity Issues in 5G Enabled Electric Vehicle Charging Station with Deep Learning. - Suraj Mishra, Danny Z. Chen, X. Sharon Hu:
Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation. - Qin Liang, Minjie Zhang, Fenghui Ren, Takayuki Ito:
A Robust Model for Trust Evaluation during Interactions between Agents in a Sociable Environment. - Alberto García-Durán, Robert West:
Recursive input and state estimation: A general framework for learning from time series with missing data. - Olabanji Shonibare:
ASBERT: Siamese and Triplet network embedding for open question answering. - Yujie Cui, Xu Cheng:
Abusing Cache Line Dirty States to Leak Information in Commercial Processors. - Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer:
Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments. - Ho-Kin Tang, Sim Kuan Goh:
A Novel Non-population-based Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing. - Yan Xu, Yu-Jhe Li, Xinshuo Weng, Kris Kitani:
Wide-Baseline Multi-Camera Calibration using Person Re-Identification. - Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu:
RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features. - Evgeniia Razumovskaia, Goran Glavas, Olga Majewska, Anna Korhonen, Ivan Vulic:
Crossing the Conversational Chasm: A Primer on Multilingual Task-Oriented Dialogue Systems. - Robert Clucas, Philip Blakely, Nikolaos Nikiforakis:
Ripple : Simplified Large-Scale Computation on Heterogeneous Architectures with Polymorphic Data Layout. - Christian Simon, Piotr Koniusz, Mehrtash Harandi:
On Learning the Geodesic Path for Incremental Learning. - Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang:
VSpSR: Explorable Super-Resolution via Variational Sparse Representation. - Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi, Uma Sushmitha Gunturi, Riya Jain, Gauri Gupta, Amardeep Kumar, Isabelle G. Lee, Anish Acharya, Rajiv Ratn Shah:
GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations. - Robbe Cools, Jihae Han, Adalberto L. Simeone:
SelectVisAR: Selective Visualisation of Virtual Environments in Augmented Reality. - Axel Marmoret, Jérémy E. Cohen, Nancy Bertin, Frédéric Bimbot:
Uncovering audio patterns in music with Nonnegative Tucker Decomposition for structural segmentation. - Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar, Abhinav Ravi:
Color Variants Identification via Contrastive Self-Supervised Representation Learning. - Lucas Fernando Alvarenga e Silva, Bruno Yuji Lino Kimura, Jurandy Almeida:
Deep Learning in Beyond 5G Networks with Image-based Time-Series Representation. - Dipesh Gyawali, Prashanga Pokharel, Ashutosh Chauhan, Subodh Chandra Shakya:
Age Range Estimation using MTCNN and VGG-Face Model. - Sreenath Shaju, Mohak Sukhwani, Ankit Kala:
Optimizing Furnace efficiency for Factory of Future using Cooperative Games. - Shengxuan Luo, Huaiyuan Ying, Sheng Yu:
Sentence Alignment with Parallel Documents Helps Biomedical Machine Translation. - Hongliang Li, Pingbing Ming, Huiyu Wang:
H2- Korn's Inequality and the Nonconforming Elements for The Strain Gradient Elastic Model. - Loup M. Langton, Mercedes L. de Uriarte, Kim Grinfeder, Paulo Nuno Vicente:
New Technology, New Rules for Journalism and a New World of Engagement. - Ileana Buhan, Lejla Batina, Yuval Yarom, Patrick Schaumont:
SoK: Design Tools for Side-Channel-Aware Implementions. - Dominik Peters:
Proportionality and Strategyproofness in Multiwinner Elections. - Ahmed El-Kishky, Adi Renduchintala, James Cross, Francisco Guzmán, Philipp Koehn:
XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment. - Mohcine El Baroudi
:
A Stylistic Analysis of Honest Deception: The Case of Seinfeld TV Series Sitcom. - Judith Dineley, Grace Lavelle, Daniel Leightley, Faith Matcham, Sara Siddi, Maria Teresa Peñarrubia-María, Katie M. White, Alina Ivan, Carolin Oetzmann
, Sara Simblett, Erin Dawe-Lane, Stuart Bruce, Daniel Stahl, Josep Maria Haro, Til Wykes, Vaibhav A. Narayan, Matthew Hotopf, Björn W. Schuller, Nicholas Cummins:
Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder. - Lu Ji, Jing Li, Zhongyu Wei, Qi Zhang, Xuanjing Huang:
Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure. - Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman:
Lifelong Learning with Sketched Structural Regularization. - Michael R. Glass, Gaetano Rossiello, Alfio Gliozzo:
Zero-shot Slot Filling with DPR and RAG. - Avishek Das, Omar Sharif, Mohammed Moshiul Hoque, Iqbal H. Sarker:
Emotion Classification in a Resource Constrained Language Using Transformer-based Approach. - Jacob Andreas, Gasper Begus
, Michael M. Bronstein, Roee Diamant, Denley Delaney, Shane Gero, Shafi Goldwasser, David F. Gruber, Sarah de Haas, Peter Malkin, Roger Payne, Giovanni Petri, Daniela Rus, Pratyusha Sharma, Dan Tchernov, Pernille Tønnesen, Antonio Torralba, Daniel M. Vogt, Robert J. Wood:
Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales. - Kun Wang, Canzhe Zhao, Shuai Li, Shuo Shao:
Conservative Contextual Combinatorial Cascading Bandit. - Nils Morawietz, Petra Wolf:
A Timecop's Chase Around the Table. - Kiavash Satvat, Rigel Gjomemo, V. N. Venkatakrishnan:
EXTRACTOR: Extracting Attack Behavior from Threat Reports. - Guillermo Navas-Palencia:
Optimal Counterfactual Explanations for Scorecard modelling. - Josh Rozner, Christopher Potts, Kyle Mahowald:
Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP. - Junyu Chen, Ye Li, Licia P. Luna, Hyun Woo Chung, Steven P. Rowe, Yong Du, Lilja B. Solnes, Eric C. Frey:
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks. - Afsoon Afzal, Claire Le Goues, Christopher Steven Timperley:
GzScenic: Automatic Scene Generation for Gazebo Simulator. - Alex Miyamoto Mussi, Taufik Abrão:
Mixed Gibbs Sampling Detector in High-Order Modulation Large-Scale MIMO Systems. - Marina Y. Aoyama, Matthew Howard:
Training Humans to Train Robots Dynamic Motor Skills. - Yichen Wang, Jason Shuo Zhang, Xu Han, Qin Lv:
Jump on the Bandwagon? - Characterizing Bandwagon Phenomenon in Online NBA Fan Communities. - Caroline Pacheco do Espírito Silva, José A. M. Felippe De Souza, Antoine Vacavant, Thierry Bouwmans, Andrews Cordolino Sobral:
Automated Mathematical Equation Structure Discovery for Visual Analysis. - Fawad Ahmad, Christina Shin, Eugene Chai, Karthik Sundaresan, Ramesh Govindan:
ARES: Accurate, Autonomous, Near Real-time 3D Reconstruction using Drones. - Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection. - Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis:
Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. - Priyanka Bose, Dipanjan Das, Yanju Chen, Yu Feng, Christopher Kruegel, Giovanni Vigna:
SAILFISH: Vetting Smart Contract State-Inconsistency Bugs in Seconds. - Qianchu Liu, Edoardo Maria Ponti, Diana McCarthy, Ivan Vulic, Anna Korhonen:
AM2iCo: Evaluating Word Meaning in Context across Low-ResourceLanguages with Adversarial Examples. - Diego Pérez-Liébana, Cristina Guerrero-Romero, Alexander Dockhorn, Dominik Jeurissen, Linjie Xu:
Generating Diverse and Competitive Play-Styles for Strategy Games. - Bogdan Lobodzinski:
Customized determination of stop words using Random Matrix Theory approach. - Colin Krisko, Avery Miller:
Labeling Schemes for Deterministic Radio Multi-Broadcast. - Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang:
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training. - Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith:
Competency Problems: On Finding and Removing Artifacts in Language Data. - Matan Hasson, Jonathan Berant:
Question Decomposition with Dependency Graphs. - Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas, Marco Di Renzo, Björn E. Ottersten:
Reconfigurable Intelligent Surface-Assisted Cell-Free Massive MIMO Systems Over Spatially-Correlated Channels. - Weizhao Jin, Xiaoyu Ji, Ruiwen He, Zhou Zhuang, Wenyuan Xu, Yuan Tian:
Towards Fortifying the Multi-Factor-Based Online Account Ecosystem. - Baban Gain
, Dibyanayan Bandyopadhyay, Tanik Saikh, Asif Ekbal:
IITP in COLIEE@ICAIL 2019: Legal Information Retrieval using BM25 and BERT. - Abhyuday Bhartiya, Kartikeya Badola, Mausam:
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction. - Wenxuan Zhou, Muhao Chen:
Learning from Noisy Labels for Entity-Centric Information Extraction. - Jiang Yu Zheng:
IUPUI Driving Videos and Images in All Weather and Illumination Conditions. - Zeming Chen, Qiyue Gao:
Monotonicity Marking from Universal Dependency Trees. - Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, Peter Clark:
Explaining Answers with Entailment Trees. - Nandan Thakur, Nils Reimers, Andreas Rücklé
, Abhishek Srivastava, Iryna Gurevych:
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models. - Michaela Socolof, Jackie Chi Kit Cheung, Michael Wagner, Timothy J. O'Donnell:
Characterizing Idioms: Conventionality and Contingency. - Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee, Oswald Lanz:
Higher Order Recurrent Space-Time Transformer. - Tejas Srinivasan, Yonatan Bisk:
Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models. - Satwik Kottur, Seungwhan Moon, Alborz Geramifard, Babak Damavandi:
SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations. - Darsh J. Shah, Regina Barzilay:
Generating Related Work. - Alan Edelman, Sungwoo Jeong:
Fifty Three Matrix Factorizations: A systematic approach. - Lucia Zheng, Neel Guha, Brandon R. Anderson, Peter Henderson, Daniel E. Ho:
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset. - Zihan Wang, Chengyu Dong, Jingbo Shang:
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. - Xingyi Cheng:
Dual-View Distilled BERT for Sentence Embedding. - Xiang Zhou, Yixin Nie, Mohit Bansal:
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning. - Krtin Kumar, Mehdi Rezagholizadeh, Yiu Sing Lau, Qun Liu:
Improving Neural Machine Translation with Compact Word Embedding Tables. - Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela:
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. - Shahab Raji, Gerard de Melo:
Guilt by Association: Emotion Intensities in Lexical Representations. - Dongkuan Xu, Ian En-Hsu Yen, Jinxi Zhao, Zhibin Xiao:
Rethinking Network Pruning - under the Pre-train and Fine-tune Paradigm. - Chenxu Luo, Xiaodong Yang, Alan L. Yuille:
Self-Supervised Pillar Motion Learning for Autonomous Driving. - Jacob Louis Hoover, Alessandro Sordoni, Wenyu Du, Timothy J. O'Donnell:
Linguistic dependencies and statistical dependence. - Shixiang Zhu, Sven P. Voigt, Henry Shaowu Yuchi, Jordan Key, Yao Xie, Josh Kacher, Surya R. Kalidindi:
Harvesting data revolution for transmission electron microscopy (TEM) using signal processing. - Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad I. Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu:
RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks. - Yue Gao, Kassem Fawaz:
Scale-Adv: A Joint Attack on Image-Scaling and Machine Learning Classifiers. - Brian Lester, Rami Al-Rfou, Noah Constant:
The Power of Scale for Parameter-Efficient Prompt Tuning. - Zewen Chi, Li Dong, Shuming Ma, Shaohan Huang, Xian-Ling Mao, Heyan Huang, Furu Wei:
mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs. - Glen Chou, Necmiye Ozay, Dmitry Berenson:
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems. - Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Furu Wei:
Knowledge Neurons in Pretrained Transformers. - Dongchen Lu:
OSKDet: Towards Orientation-sensitive Keypoint Localization for Rotated Object Detection. - Pu-Chin Chen, Henry Tsai, Srinadh Bhojanapalli, Hyung Won Chung, Yin-Wen Chang, Chun-Sung Ferng:
Demystifying the Better Performance of Position Encoding Variants for Transformer. - Mao Ye:
FOX: Hardware-Assisted File Auditing for Direct Access NVM-Hosted Filesystems. - Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji:
Lottery Jackpots Exist in Pre-trained Models. - Brian Lester, Sagnik Ray Choudhury, Rashmi Prasad, Srinivas Bangalore:
Intent Features for Rich Natural Language Understanding. - Andre Fu, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Reconsidering CO2 emissions from Computer Vision. - Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan:
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation. - Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
Contextualized Query Embeddings for Conversational Search. - Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov, Niki Parmar:
Simple and Efficient ways to Improve REALM. - Ehsan Qasemi, Filip Ilievski, Muhao Chen, Pedro A. Szekely:
CoreQuisite: Circumstantial Preconditions of Common Sense Knowledge. - Huangbin Zhang, Chong Zhao, Yu Zhang, Danlei Wang, Haichao Yang:
Deep Latent Emotion Network for Multi-Task Learning. - Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed:
The hidden label-marginal biases of segmentation losses. - Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi:
CLIPScore: A Reference-free Evaluation Metric for Image Captioning. - Kelly Marchisio, Conghao Xiong, Philipp Koehn:
Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry. - Xiuwen Zheng, Dheeraj Mekala, Amarnath Gupta, Jingbo Shang:
News Meets Microblog: Hashtag Annotation via Retriever-Generator. - Yuning Mao, Wenchang Ma, Deren Lei, Xiang Ren:
Extract, Denoise, and Enforce: Evaluating and Predicting Lexical Constraints for Conditional Text Generation. - Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John E. Ortega, Ricardo Ramos, Annette Rios, Ivan Vladimir, Gustavo Alberto Giménez Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu, Katharina Kann:
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. - Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi, Chris Callison-Burch:
GooAQ: Open Question Answering with Diverse Answer Types. - Emily Sheng, Josh Arnold, Zhou Yu, Kai-Wei Chang, Nanyun Peng:
Revealing Persona Biases in Dialogue Systems. - Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang:
Unsupervised Deep Keyphrase Generation. - Jifan Chen, Eunsol Choi, Greg Durrett:
Can NLI Models Verify QA Systems' Predictions? - Burhan Rashid Hussein, Owais Ahmed Malik, Wee-Hong Ong, Johan Willem Frederik Slik:
Application of Computer Vision and Machine Learning for Digitized Herbarium Specimens: A Systematic Literature Review. - Ashish Gondimalla, Sree Charan Gundabolu, T. N. Vijaykumar, Mithuna Thottethodi:
Barrier-Free Large-Scale Sparse Tensor Accelerator (BARISTA) For Convolutional Neural Networks. - Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner:
Learning with Instance Bundles for Reading Comprehension. - Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang:
Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence. - Akhil Arora, Alberto García-Durán, Robert West:
Low-rank Subspaces for Unsupervised Entity Linking. - Shen Li, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen:
Continuity-Discrimination Convolutional Neural Network for Visual Object Tracking. - Keshav Kolluru, Mayank Singh Chauhan, Yatin Nandwani, Parag Singla, Mausam:
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion. - Rik Koncel-Kedziorski, Noah A. Smith:
Go Forth and Prosper: Language Modeling with Ancient Textual History. - Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh:
Generative Context Pair Selection for Multi-hop Question Answering. - Yu Xue, Yihang Tang, Xin Xu, Jiayu Liang, Ferrante Neri:
Multi-objective Feature Selection with Missing Data in Classification. - Tomohiro I, Dominik Köppl:
Load-Balancing Succinct B Trees. - Zhaohao Zeng, Tetsuya Sakai:
DCH-2: A Parallel Customer-Helpdesk Dialogue Corpus with Distributions of Annotators' Labels. - Guanhua Chen, Shuming Ma, Yun Chen, Li Dong, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei:
Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders. - Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Matt Gardner:
Documenting the English Colossal Clean Crawled Corpus. - Ofir Gordon, Yuval Filmus, Oren Salzman:
Revisiting the Complexity Analysis of Conflict-Based Search: New Computational Techniques and Improved Bounds. - Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin:
Solving Inefficiency of Self-supervised Representation Learning. - Yipeng Ji, Jingyi Wang, Shaoning Li, Yangyang Li, Shenwen Lin, Xiong Li:
An Anomaly Event Detection Method Based on GNN Algorithm for Multi-data Sources. - Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum:
Case-based Reasoning for Natural Language Queries over Knowledge Bases. - Shunsuke Kitada, Hitoshi Iyatomi:
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification. - Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Yiming Yang, Peter Clark, Keisuke Sakaguchi, Eduard H. Hovy:
Improving Neural Model Performance through Natural Language Feedback on Their Explanations. - Jinhuan Wang, Pengtao Chen, Shanqing Yu, Qi Xuan:
TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts. - Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme:
Constrained Language Models Yield Few-Shot Semantic Parsers. - Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Yangqiu Song, Shimei Pan:
Fair Representation Learning for Heterogeneous Information Networks. - Mozhdeh Gheini, Xiang Ren, Jonathan May:
On the Strengths of Cross-Attention in Pretrained Transformers for Machine Translation. - Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi:
Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions. - Theodoros Galanos, Antonios Liapis, Georgios N. Yannakakis, Reinhard Koenig:
ARCH-Elites: Quality-Diversity for Urban Design. - Nayeon Lee, Andrea Madotto, Yejin Bang, Pascale Fung:
Dynamically Addressing Unseen Rumor via Continual Learning. - Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling:
Federated Learning of User Verification Models Without Sharing Embeddings. - Nidhi Gupta, Wenju Liu:
Line Segmentation from Unconstrained Handwritten Text Images using Adaptive Approach. - Ziqian Zeng, Yangqiu Song:
Variational Weakly Supervised Sentiment Analysis with Posterior Regularization. - Konstantinos Sfikas, Antonios Liapis, Georgios N. Yannakakis:
Monte Carlo Elites: Quality-Diversity Selection as a Multi-Armed Bandit Problem. - Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang:
On the Faithfulness Measurements for Model Interpretations. - Xin Sun, Changrui Chen, Xiaorui Wang, Junyu Dong, Huiyu Zhou, Sheng Chen:
Gaussian Dynamic Convolution for Efficient Single-Image Segmentation. - Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp:
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. - Zhen Wang, Xiangxie Zhang, Yicong Tan:
Chinese Sentences Similarity via Cross-Attention Based Siamese Network. - Xavier Rafael-Palou, Anton Aubanell, Mario Ceresa, Vicent J. Ribas, Gemma Piella, Miguel Ángel González Ballester:
An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth. - Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi:
Misinfo Belief Frames: A Case Study on Covid & Climate News. - Mimansa Jaiswal, Emily Mower Provost:
Why Should I Trust a Model is Private? Using Shifts in Model Explanation for Evaluating Privacy-Preserving Emotion Recognition Model. - Aaron Chan, Soumya Sanyal, Boyuan Long, Jiashu Xu, Tanishq Gupta, Xiang Ren:
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning. - Buddhika Laknath Semage
, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer. - Sai Krishna Chada, Jitin Mathew Thomas, Daniel Görges, Achim Ebert, Roman Teutsch:
Ecological Adaptive Cruise Control for City Buses based on Hybrid Model Predictive Control using PnG and Traffic Light Information. - Zengyi Qin, Jinglu Wang, Yan Lu:
MonoGRNet: A General Framework for Monocular 3D Object Detection. - Yichao Luo, Yige Xu, Jiacheng Ye, Xipeng Qiu, Qi Zhang:
Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning. - Devang Kulshreshtha, Robert Belfer, Iulian Vlad Serban, Siva Reddy:
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval. - Tal Schuster, Adam Fisch, Tommi S. Jaakkola, Regina Barzilay:
Consistent Accelerated Inference via Confident Adaptive Transformers. - Harkanwar Singh, Prachi Jain, Mausam, Soumen Chakrabarti:
Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment. - Sergio Rozada
, Victor Tenorio, Antonio G. Marques:
Low-rank State-action Value-function Approximation. - Mimansa Jaiswal, Emily Mower Provost:
Best Practices for Noise-Based Augmentation to Improve the Performance of Emotion Recognition "In the Wild". - Xisen Jin, Mohammad Rostami, Xiang Ren:
Lifelong Learning of Few-shot Learners across NLP Tasks. - Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope:
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. - Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, Benjamin Van Durme:
Schema Curation via Causal Association Rule Mining. - Wenxuan Zhou, Muhao Chen:
Contrastive Out-of-Distribution Detection for Pretrained Transformers. - Abdul Karim Gizzini, Marwa Chafii, Ahmad Nimr, Raed M. Shubair, Gerhard P. Fettweis:
CNN aided Weighted Interpolation for Channel Estimation in Vehicular Communications. - Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr:
FedNLP: A Research Platform for Federated Learning in Natural Language Processing. - Javier Iranzo-Sánchez, Jorge Civera, Alfons Juan:
Stream-level Latency Evaluation for Simultaneous Machine Translation. - Manjushree D. Laddha, Varsha T. Lokare, Arvind W. Kiwelekar, Laxman D. Netak:
Classifications of the Summative Assessment for Revised Blooms Taxonomy by using Deep Learning. - Niv Buchbinder, Iftach Haitner, Nissan Levi, Eliad Tsfadia:
Fair Coin Flipping: Tighter Analysis and the Many-Party Case. - Tianyu Gao, Xingcheng Yao, Danqi Chen:
SimCSE: Simple Contrastive Learning of Sentence Embeddings. - Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett:
Flexible Operations for Natural Language Deduction. - Kang Min Yoo, Dongju Park, Jaewook Kang, Sang-Woo Lee, Woomyeong Park:
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation. - Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Modeling Ideological Agenda Setting and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity. - Ali Esmaeily, Katina Kralevska:
Small-Scale 5G Testbeds for Network Slicing Deployment: A Systematic Review. - Qinyuan Ye, Bill Yuchen Lin, Xiang Ren:
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. - Yiheng Xu
, Tengchao Lv, Lei Cui, Guoxin Wang, Yijuan Lu, Dinei Florêncio, Cha Zhang, Furu Wei:
LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding. - Daizhan Cheng, Lijun Zhang, Dongyao Bi:
Invariant Subspace Approach to Boolean (Control) Networks. - Yuanzhi Wang, Tao Lu, Yanduo Zhang, Yuntao Wu:
Multi-scale Self-calibrated Network for Image Light Source Transfer. - Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa:
On the Influence of Masking Policies in Intermediate Pre-training. - Avijit Basak:
A Rank based Adaptive Mutation in Genetic Algorithm. - Kecheng Chen, Kun Long, Yazhou Ren, Jiayu Sun, Xiaorong Pu:
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection. - Kemal Tugrul Yesilbek, T. Metin Sezgin:
On Training Sketch Recognizers for New Domains. - Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander:
Let's See Clearly: Contaminant Artifact Removal for Moving Cameras. - Jia Wang, Ping Wang, Biao Li, Ruigang Fu, Junzheng Wu:
An Improved Discriminative Optimization for 3D Rigid Point Cloud Registration. - Yu-Ping Ruan, Zhen-Hua Ling:
Emotion-Regularized Conditional Variational Autoencoder for Emotional Response Generation. - Fagner Cunha, Eulanda M. dos Santos, Raimundo S. Barreto, Juan Gabriel Colonna:
Filtering Empty Camera Trap Images in Embedded Systems. - Huaishao Luo, Lei Ji, Ming Zhong, Yang Chen, Wen Lei, Nan Duan, Tianrui Li:
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval. - Hengli Wang, Peide Cai, Rui Fan, Yuxiang Sun, Ming Liu:
End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving. - Jim Apple:
HalftimeHash: Modern Hashing without 64-bit Multipliers or Finite Fields. - Amin Mahmoudi, Victoria Wai-lan Yeung, Eric Wing Kuen See-To:
User Behavior Discovery in the COVID-19 Era through the Sentiment Analysis of User Tweet Texts. - Clemens Damke, Eyke Hüllermeier:
Ranking Structured Objects with Graph Neural Networks. - F. M. Watson, Michael G. Crabb, William R. B. Lionheart:
A polarization tensor approximation for the Hessian in iterative solvers for non-linear inverse problems. - Masahiro Morikawa:
Low-Frequency Characterization of Music Sounds - Ultra-Bass Richness from the Sound Wave Beats. - Federico Bianchi, Ciro Greco, Jacopo Tagliabue:
Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction. - Songan Zhang, Lu Wen, Huei Peng, H. Eric Tseng:
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning. - Samuel J. Bell
, Onno Pepijn Kampman:
Perspectives on Machine Learning from Psychology's Reproducibility Crisis. - Ankur Majumdar, Sotirios Dimitrakopoulos, Omid Alizadeh Mousavi:
Grid Monitoring for Efficient Flexibility Provision in Distribution Grids. - Christoph Sager, Christian Janiesch, Patrick Zschech:
A survey of image labelling for computer vision applications. - Szymon Plotka, Tomasz Wlodarczyk, Ryszard Szczerba, Przemyslaw Rokita, Patrycja Bartkowska, Oskar Komisarek, Artur Matthews-Brzozowski, Tomasz Trzcinski:
Convolutional Neural Networks in Orthodontics: a review. - Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard:
Modular Procedural Generation for Voxel Maps. - Phillip Pope, Chen Zhu, Ahmed Abdelkader, Micah Goldblum, Tom Goldstein:
The Intrinsic Dimension of Images and Its Impact on Learning. - Weiye Zhao, Suqin He, Changliu Liu:
Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming. - Decky Aspandi-Latif, Sally Goldin, Preesan Rakwatin, Kurt Rudahl:
Texture Based Classification of High Resolution Remotely Sensed Imagery using Weber Local Descriptor. - Lev V. Utkin, Egor D. Satyukov, Andrei V. Konstantinov:
SurvNAM: The machine learning survival model explanation. - Vincent W. Hill, Ryan W. Thomas, Jordan D. Larson:
Autonomous Situational Awareness for UAS Swarms. - Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu:
Towards Open-World Text-Guided Face Image Generation and Manipulation. - Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis:
The Simpson's Paradox in the Offline Evaluation of Recommendation Systems. - Julian True, Naimul Khan:
Motion Vector Extrapolation for Video Object Detection. - Kenneth C. Litkowski, Orin Hargraves:
The Preposition Project. - Kai Hui, Klaus Berberich:
Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing. - Xuewen Qian, Marco Di Renzo, Andrew W. Eckford:
K-Means Clustering-Aided Non-Coherent Detection for Molecular Communications. - Vivek Khetan, K. M. Annervaz, Erin B. Wetherley, Elena Eneva, Shubhashis Sengupta, Andrew E. Fano:
Knowledge Graph Anchored Information-Extraction for Domain-Specific Insights. - Tim De Ryck, Samuel Lanthaler, Siddhartha Mishra:
On the approximation of functions by tanh neural networks. - Fengpei Yuan, Amir Sadovnik, Ran Zhang, Devin Casenhiser, Eun Jin Paek, Si On Yoon, Xiaopeng Zhao:
A Simulated Experiment to Explore Robotic Dialogue Strategies for People with Dementia. - Neel Kanwal, Giuseppe Rizzo:
Attention-based Clinical Note Summarization. - Vivek Krishnamurthy, Thuy Vu, Alessandro Moschitti:
Reference-based Weak Supervision for Answer Sentence Selection using Web Data. - Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez:
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation. - Maciej Pacut, Juan Vanerio, Vamsi Addanki, Arash Pourdamghani, Gábor Rétvári, Stefan Schmid:
Online List Access with Precedence Constraints. - W. Steven Gray, Luis A. Duffaut Espinosa, Kurusch Ebrahimi-Fard:
Additive Networks of Chen-Fliess Series: Local Convergence and Relative Degree. - Maleakhi A. Wijaya, Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik:
Failing Conceptually: Concept-Based Explanations of Dataset Shift. - Fahime Khozeimeh, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari
, Afshin Shoeibi, Roohallah Alizadehsani, Juan Manuel Górriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei
, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. - Shaked Dovrat, Eliya Nachmani, Lior Wolf:
Many-Speakers Single Channel Speech Separation with Optimal Permutation Training. - David McAllester:
Dependent Type Theory as Related to the Bourbaki Notions of Structure and Isomorphism. - Rakesh Gosangi, Ravneet Arora, Mohsen Gheisarieha, Debanjan Mahata, Haimin Zhang:
On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles. - Ly Ly T. Trieu, Tran Cao Son, Enrico Pontelli, Marcello Balduccini:
Generating explanations for answer set programming applications. - Luciana Benotti, Patrick Blackburn:
A recipe for annotating grounded clarifications. - Joey Huang:
A Simple Mathematical Model of Politics (II). - Minhua Chen, Badrinath Jayakumar, Padmasundari Gopalakrishnan, Qiming Huang, Michael Johnston, Patrick Haffner:
Deep Clustering with Measure Propagation. - Joel Mackenzie, Matthias Petri, Alistair Moffat:
Anytime Ranking on Document-Ordered Indexes. - Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli:
Off-Policy Risk Assessment in Contextual Bandits. - Daniel Selvaratnam, Michael Cantoni, J. M. Davoren, Iman Shames:
Sampling Polynomial Trajectories for LTL Verification. - Aritra Ghosh, Andrew S. Lan:
Contrastive Learning Improves Model Robustness Under Label Noise. - Zhonghua Qiao, Qian Zhang:
Two-phase image segmentation by the Allen-Cahn equation and a nonlocal edge detection operator. - Yania Crespo, Arturo González-Escribano, Mario Piattini:
Carrot and Stick approaches revisited when managing Technical Debt in an educational context. - Ashutosh Dutta, Ehab Al-Shaer, Samrat Chatterjee:
Constraints Satisfiability Driven Reinforcement Learning for Autonomous Cyber Defense. - Yerbol Palzhanov, Alexander Zhiliakov, Annalisa Quaini, Maxim A. Olshanskii:
A decoupled, stable, and linear FEM for a phase-field model of variable density two-phase incompressible surface flow. - Bishwas Mandal, Adaeze Okeukwu, Yihong Theis:
Masked Face Recognition using ResNet-50. - Aykut Bulut, Ted K. Ralphs:
On the Complexity of Inverse Mixed Integer Linear Optimization. - Sam Maksoud, Kun Zhao, Can Peng, Brian C. Lovell:
Scalable Bayesian Deep Learning with Kernel Seed Networks. - Gati L. Martin, Medard E. Mswahili, Young-Seob Jeong:
Sentiment Classification in Swahili Language Using Multilingual BERT. - Hu Wang, Congbo Ma, Chunhua Shen:
Kernel Agnostic Real-world Image Super-resolution. - Tomoharu Iwata:
Few-shot Learning for Topic Modeling. - Pulasthi Wickramasinghe, Geoffrey C. Fox:
Multidimensional Scaling for Gene Sequence Data with Autoencoders. - Shiyu Duan, José C. Príncipe:
Labels, Information, and Computation: Efficient, Privacy-Preserving Learning Using Sufficient Labels. - Karolinne O. Coelho, Edson Denis Leonel, Julio Flórez-López:
A methodology to evaluate corroded RC structures using a probabilistic damage approach. - Alexander Lerch, Claire Arthur
, Ashis Pati, Siddharth Gururani:
An Interdisciplinary Review of Music Performance Analysis. - Awais Tanveer, Roopak Sinha, Stephen G. MacDonell:
On Design-time Security in IEC 61499 Systems: Conceptualisation, Implementation, and Feasibility. - Ue-Hwan Kim, Yewon Hwang, Sun-Kyung Lee, Jong-Hwan Kim:
Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution. - Lei Chu, Hao Pan, Wenping Wang:
Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective. - Yao Wu, Jian Cao, Guandong Xu, Yudong Tan:
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers. - Matthew Chignoli, Donghyun Kim, Elijah Stanger-Jones, Sangbae Kim:
The MIT Humanoid Robot: Design, Motion Planning, and Control For Acrobatic Behaviors. - Mengyuan Lee, Guanding Yu, Huaiyu Dai:
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems. - Siamak Layeghy, Marcus Gallagher, Marius Portmann:
Benchmarking the Benchmark - Analysis of Synthetic NIDS Datasets. - Fan Yu, Minghua Chen:
BDF6 SAV schemes for time-fractional Allen-Cahn dissipative systems. - Jonathan Dunn, Andrea Nini:
Production vs Perception: The Role of Individuality in Usage-Based Grammar Induction. - Liyuan Wang, Qian Li, Yi Zhong, Jun Zhu:
Few-shot Continual Learning: a Brain-inspired Approach. - Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Deng Cai:
Lidar Point Cloud Guided Monocular 3D Object Detection. - Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang:
Mining Latent Structures for Multimedia Recommendation. - Aadil Islam, Weicheng Ma, Soroush Vosoughi:
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models. - Bhagyashri Tushir, Hetesh Sehgal, Rohan Nair, Behnam Dezfouli, Yuhong Liu:
The Impact of DoS Attacks onResource-constrained IoT Devices: A Study on the Mirai Attack. - Maoqin Yuan, Wenbin Chen, Cheng Wang, Steven M. Wise, Zhengru Zhang:
An energy stable finite element scheme for the three-component Cahn-Hilliard-type model for macromolecular microsphere composite hydrogels. - Aritra Ghosh, Jay Raspat, Andrew S. Lan:
Option Tracing: Beyond Correctness Analysis in Knowledge Tracing. - Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia:
Distilling Knowledge via Knowledge Review. - Aritra Ghosh, Andrew S. Lan:
Do We Really Need Gold Samples for Sample Weighting Under Label Noise? - Kashif Munir, Hai Zhao, Zuchao Li:
Neural Unsupervised Semantic Role Labeling. - Joonyoung Ahn, Nam Ik Cho:
Neural Architecture Search for Image Super-Resolution Using Densely Constructed Search Space: DeCoNAS. - Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli:
Metadata Normalization. - Nicolas Hudson, Fletcher Talbot, Mark Cox
, Jason Williams, Thomas Hines, Alex Pitt, Brett Wood, Dennis Frousheger, Katrina Lo Surdo, Thomas Molnar, Ryan Steindl, Matt Wildie, Inkyu Sa, Navinda Kottege, Kazys Stepanas, Emili Hernández, Gavin Catt, William Docherty, Brendan Tidd, Benjamin Tam, Simon Murrell, Mitchell Bessell, Lauren Hanson, Lachlan Tychsen-Smith, Hajime Suzuki, Leslie Overs, Farid Kendoul, Glenn Wagner, Duncan Palmer, Peter Milani, Matthew Joseph O'Brien, Shu D. Jiang, Shengkang Chen, Ronald C. Arkin:
Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61's Approach to the DARPA Subterranean Challenge. - Chao-Tsung Huang:
RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging. - Qinyuan Wu, Yong Deng:
A Negation Quantum Decision Model to Predict the Interference Effect in Categorization. - Fei Shen, Xin He, Mengwan Wei, Yi Xie:
A Competitive Method to VIPriors Object Detection Challenge. - Sihao Chen, Fan Zhang, Kazoo Sone, Dan Roth:
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection. - Jokin Labaien, Ekhi Zugasti, Xabier De Carlos:
DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss. - Pamela Fleischmann, Sebastian Bernhard Germann, Dirk Nowotka:
Scattered Factor Universality - The Power of the Remainder. - Minjun Li, Yanghua Jin, Huachun Zhu:
Surrogate Gradient Field for Latent Space Manipulation. - Karthik Puranik, Adeep Hande, Ruba Priyadharshini, Sajeetha Thavareesan, Bharathi Raja Chakravarthi:
IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers. - Tengfei Wang, Hao Ouyang, Qifeng Chen:
Image Inpainting with External-internal Learning and Monochromic Bottleneck. - Hongyuan You, Sikun Lin, Ambuj K. Singh:
Learning Interpretable Models for Coupled Networks Under Domain Constraints. - Hok-Shing Lau, Ryan McConville
, Mohammud Junaid Bocus, Robert J. Piechocki
, Raúl Santos-Rodríguez:
Self-Supervised WiFi-Based Activity Recognition. - Piyushi Manupriya, Saketha Nath Jagarlapudi, Tarun Ram Menta, Vineeth N. Balasubramanian:
Improving Attribution Methods by Learning Submodular Functions. - Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista-Gomez, Ryousei Takano, Rosa M. Badia, Mohamed Wahib:
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. - Oliwier Melon, Romeo Orsolino, David Surovik, Mathieu Geisert, Ioannis Havoutis, Maurice F. Fallon:
Receding-Horizon Perceptive Trajectory Optimization for Dynamic Legged Locomotion with Learned Initialization. - Yifei Ding, Minping Jia, Qiuhua Miao, Yudong Cao:
A novel Time-frequency Transformer and its Application in Fault Diagnosis of Rolling Bearings. - Bálint Hartmann:
How Does the Vulnerability of an Evolving Power Grid Change? - Siddhanth U. Hegde, Adeep Hande, Ruba Priyadharshini, Sajeetha Thavareesan, Bharathi Raja Chakravarthi:
UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention. - Yidan Sun, Guiyuan Jiang, Siew-Kei Lam, Peilan He, Fangxin Ning:
Multi-fold Correlation Attention Network for Predicting Traffic Speeds with Heterogeneous Frequency. - Nikita Shanin, Laura Cottatellucci, Robert Schober:
Optimal Transmit Strategy for MIMO WPT Systems With Non-linear Energy Harvesting. - Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tür, Jan Jezabek, Abhay Jha, Jiun-Yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Ishwar Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Strom, Eddie Wang:
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems. - Jim Samuel, Margaret Brennan-Tonetta, Yana Samuel, Pradeep Subedi
, Jack Smith:
Strategies for Democratization of Supercomputing: Availability, Accessibility and Usability of High Performance Computing for Education and Practice of Big Data Analytics. - Daniel Verenzuela, Emil Björnson, Michail Matthaiou:
Optimal Per-Antenna ADC Bit Allocation in Correlated and Cell-Free Massive MIMO. - Varsha Dani, Aayush Gupta, Thomas P. Hayes, Seth Pettie:
Wake Up and Join Me! An Energy-Efficient Algorithm for Maximal Matching in Radio Networks. - Markus Steimle
, Till Menzel, Markus Maurer:
Towards a Consistent Terminology for Scenario-Based Development and Test Approaches for Automated Vehicles: A Proposal for a Structuring Framework, a Basic Vocabulary, and its Application. - Mohit Vohra, Ravi Prakash, Laxmidhar Behera:
Edge and Corner Detection in Unorganized Point Clouds for Robotic Pick and Place Applications. - Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges:
Conditional Coding and Variable Bitrate for Practical Learned Video Coding. - Wei Zhou, Mohammad Zeineldeen, Zuoyun Zheng, Ralf Schlüter, Hermann Ney:
Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition. - Seongmin Lee, Dave W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo:
Causal Program Dependence Analysis. - Martin Servin, Folke Vesterlund, Erik Wallin:
Digital twins with distributed particle simulation for mine-to-mill material tracking. - Florian Cafiero, Paul Guille-Escuret, Jeremy K. Ward:
No comments: Addressing commentary sections in websites' analyses. - Lukas Koch:
Regularity for quasilinear vectorial elliptic systems through an iterative scheme with numerical applications. - Matteo Acclavio
, Davide Catta, Lutz Straßburger:
Towards a Denotational Semantics for Proofs in Constructive Modal Logic. - Dingkang Liang, Xiwu Chen, Wei Xu, Yu Zhou, Xiang Bai:
TransCrowd: Weakly-Supervised Crowd Counting with Transformer. - Janardan Misra, Vikrant Kaulgud, Rupesh Kaslay, Sanjay Podder:
When to Build Quantum Software? - Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Xueqi Cheng:
Locate Who You Are: Matching Geo-location to Text for Anchor Link Prediction. - Ziyuan Wang, Feiming Yang, Rui Fan:
SAS: A Simple, Accurate and Scalable Node Classification Algorithm. - Jie Ren, Yewen Li, Zihan Ding, Wei Pan, Hao Dong:
Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning. - Laura Dörr, Felix Brandt, Alexander Naumann, Martin Pouls:
TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases. - Yuting Gao, Jia-Xin Zhuang, Ke Li, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Xing Sun:
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. - Amir Hertz, Or Perel
, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or:
Progressive Encoding for Neural Optimization. - Piotr Faliszewski, Piotr Skowron, Nimrod Talmon:
Bribery as a Measure of Candidate Success: Complexity Results for Approval-Based Multiwinner Rules. - Lei Sun:
RANSIC: Fast and Highly Robust Estimation for Rotation Search and Point Cloud Registration using Invariant Compatibility. - Dawit Mureja Argaw, Junsik Kim, François Rameau, Chaoning Zhang, In So Kweon:
Restoration of Video Frames from a Single Blurred Image with Motion Understanding. - Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu:
Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning. - Nicolás E. Díaz Ferreyra
, Tobias Hecking, Esma Aïmeur, Maritta Heisel, Heinz Ulrich Hoppe:
Community Detection for Access-Control Decisions: Analysing the Role of Homophily and Information Diffusion in Online Social Networks. - Mike Thelwall:
Cures, Treatments and Vaccines for Covid-19: International differences in interest on Twitter. - Konstantinos Papadopoulos, Anis Kacem, Abd El Rahman Shabayek, Djamila Aouada:
Face-GCN: A Graph Convolutional Network for 3D Dynamic Face Identification/Recognition. - Yulin Zhang, Bo Ma, Longyao Liu, Xin Yi:
Self-Paced Uncertainty Estimation for One-shot Person Re-Identification. - Ebru Aydin Gol:
Control Synthesis for Parametric Timed Automata under Unavoidability Specifications. - Yunrui Guo, Guglielmo Camporese, Wenjing Yang, Alessandro Sperduti, Lamberto Ballan:
Conditional Variational Capsule Network for Open Set Recognition. - Meng Hua, Qingqing Wu, Luxi Yang, Robert Schober, H. Vincent Poor:
A Novel Wireless Communication Paradigm for Intelligent Reflecting Surface Based Symbiotic Radio Systems. - Eric T. Chung, Hyea Hyun Kim, Ming Fai Lam, Lina Zhao:
Learning adaptive coarse spaces of BDDC algorithms for stochastic elliptic problems with oscillatory and high contrast coefficients. - Louis Annabi, Alexandre Pitti, Mathias Quoy:
Bidirectional Interaction between Visual and Motor Generative Models using Predictive Coding and Active Inference. - Miran Kim, Xiaoqian Jiang, Kristin E. Lauter, Elkhan Ismayilzada, Shayan Shams:
HEAR: Human Action Recognition via Neural Networks on Homomorphically Encrypted Data. - Henry Howard-Jenkins, José-Raúl Ruiz-Sarmiento, Victor Adrian Prisacariu:
LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments. - Tianjin Huang, Vlado Menkovski, Yulong Pei, Yuhao Wang, Mykola Pechenizkiy:
Direction-Aggregated Attack for Transferable Adversarial Examples. - Nampoina Andriamilanto, Tristan Allard
:
BrFAST: a Tool to Select Browser Fingerprinting Attributes for Web Authentication According to a Usability-Security Trade-off. - Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick:
Cyclist Intention Detection: A Probabilistic Approach. - Péter Györgyi, Tamás Kis, Tímea Tamási, József Békési:
Joint replenishment meets scheduling. - Aritra Banerjee, Michael Clear, Hitesh Tewari:
zkHawk: Practical Private Smart Contracts from MPC-based Hawk. - Sarem Seitz:
Mixtures of Gaussian Processes for regression under multiple prior distributions. - Simone Cacace, Roberto Ferretti:
Efficient implementation of characteristic-based schemes on unstructured triangular grids. - Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra:
Credibility Analysis in Social Big Data. - Waqar Ahmed, Andrea Zunino, Pietro Morerio, Vittorio Murino:
Compact CNN Structure Learning by Knowledge Distillation. - Fethiye Irmak Dogan, Iolanda Leite:
Open Challenges on Generating Referring Expressions for Human-Robot Interaction. - Tengyu Liu, Zeyu Liu, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu:
Synthesizing Diverse and Physically Stable Grasps with Arbitrary Hand Structures by Differentiable Force Closure Estimation. - Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, Tongliang Liu:
Removing Adversarial Noise in Class Activation Feature Space. - Leonhard Balduf, Sebastian A. Henningsen, Martin Florian, Sebastian Rust, Björn Scheuermann:
Monitoring Data Requests in Decentralized Data Storage Systems: A Case Study of IPFS. - Shichang Sun, Mingfu Xue, Jian Wang, Weiqiang Liu:
Protecting the Intellectual Properties of Deep Neural Networks with an Additional Class and Steganographic Images. - Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao:
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes. - Benedikt Pfülb, Alexander Gepperth:
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay. - Jiahao Wang, Han Shu, Weihao Xia, Yujiu Yang, Yunhe Wang:
Coarse-to-Fine Searching for Efficient Generative Adversarial Networks. - Aditya Prakash, Kashyap Chitta, Andreas Geiger:
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving. - Anshul Tanwar, Hariharan Manikandan, Krishna Sundaresan, Prasanna Ganesan, Sathish Kumar Chandrasekaran, Sriram Ravi:
Multi-context Attention Fusion Neural Network for Software Vulnerability Identification. - Mohammad A. Dabbah, Angus B. Reed, Adam T. C. Booth, Arrash Yassaee, Alex Despotovic, Benjamin Klasmer, Emily Binning, Mert Aral, David Plans, Alain B. Labrique, Diwakar Mohan:
Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank study. - Ruslán G. Marzo, Rafael A. Melo, Celso C. Ribeiro, Marcio Costa Santos:
New formulations and branch-and-cut procedures for the longest induced path problem. - Ryuji Watanabe, Hideaki Ishibashi, Tetsuo Furukawa:
Visual analytics of set data for knowledge discovery and member selection support. - Guido Tebes, Denis Peppino, Pablo Becker, Luis Olsina:
TestTDO's v1.2 Terms, Properties, Relationships and Axioms - A Top-Domain Software Testing Ontology. - Reza Khani-Shekarab, Alireza khani-shekarab:
Comprehensive systematic review into combinations of artificial intelligence, human factors, and automation. - Nathan Sandholtz, Yohsuke Miyamoto, Luke Bornn, Maurice Smith:
Inverse Bayesian Optimization: Learning Human Search Strategies in a Sequential Optimization Task. - Benedikt Pfülb
, Alexander Gepperth, Benedikt Bagus:
Continual Learning with Fully Probabilistic Models. - Davide Mattiolo, Giuseppe Mazzuoccolo, Vahan Mkrtchyan:
On sublinear approximations for the Petersen coloring conjecture. - Nikola Ljubesic, Davor Lauc:
BERTić - The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian. - Qiaoli Wang:
An Android App for Digital Transport Cards of Smart City: Request for Suggestions. - Jean-Paul Berrut, Giacomo Elefante:
A linear barycentric rational interpolant on starlike domains. - Albert García
, Mohamed Adel Musallam, Vincent Gaudillière, Enjie Ghorbel, Kassem Al Ismaeil, Marcos Damian Perez, Djamila Aouada
:
LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network. - Robin Münk, Matthias Rost, Stefan Schmid, Harald Räcke:
It's Good to Relax: Fast Profit Approximation for Virtual Networks with Latency Constraints. - Pudong Ge, Boli Chen, Fei Teng:
Resilient Distributed Self-Triggered Control of Networked Systems under Hybrid DoS Attacks. - Lukas Baischer, Matthias Wess, Nima Taherinejad:
Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors. - Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz:
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation. - Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lifang He:
Non-Linear Fusion for Self-Paced Multi-View Clustering. - Akin Caliskan, Armin Mustafa, Adrian Hilton:
Temporal Consistency Loss for High Resolution Textured and Clothed 3DHuman Reconstruction from Monocular Video. - Xu Guo, Boyang Li
, Han Yu, Chunyan Miao:
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection. - Milan Jirásek, Emma La Malfa Ribolla, Martin Horák:
Efficient formulation of a geometrically nonlinear beam element. - Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr:
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection. - Fabrice Guillemin, Alain Simonian, Ridha Nasri, Verónica Quintuna Rodriguez:
Asymptotic analysis of the sojourn time of a batch in an M[X]/M/1 Processor Sharing Queue. - Jorge Peña Queralta, Xianjia Yu, Qingqing Li, Tomi Westerlund:
Towards Large-Scale Scalable MAV Swarms with ROS2 and UWB-based Situated Communication. - Qingfeng Xu, Zhenguo Nie, Handing Xu, Haosu Zhou, Xinjun Liu:
SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Metal Forming Stress Field with Attention Mechanism and Perceptual Features. - Armin Mustafa, Akin Caliskan, Lourdes Agapito, Adrian Hilton:
Multi-person Implicit Reconstruction from a Single Image. - Yunrui Yu, Xitong Gao, Cheng-Zhong Xu:
LAFEAT: Piercing Through Adversarial Defenses with Latent Features. - Shohei Enomoto, Takeharu Eda:
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems. - Mathieu Briland, Fabrice Bouquet:
A Language for Modelling False Data Injection Attacks in Internet of Things. - Pritam Karmokar, Kashish Dhal, William J. Beksi, Animesh Chakravarthy:
Vision-Based Guidance for Tracking Dynamic Objects. - Shohei Nakazawa, Yoshiki Sato, Kenji Nakagawa, Sho Tsugawa, Kohei Watabe:
A Tunable Model for Graph Generation Using LSTM and Conditional VAE. - Shehroz S. Khan, Thaejaesh Sooriyakumaran, Katherine Rich, Sofija Spasojevic, Bing Ye, Kristine Newman, Andrea Iaboni, Alex Mihailidis:
Tracking agitation in people living with dementia in a care environment. - Julia Rosén, Jessica Lindblom, Erik Billing, Maurice Lamb:
Ethical Challenges in the Human-Robot Interaction Field. - Philippe Weitz, Yinxi Wang, Kimmo Kartasalo
, Lars Egevad, Johan Lindberg, Henrik Grönberg, Martin Eklund, Mattias Rantalainen:
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks. - Igor Averbakh:
Minimizing the total weighted pairwise connection time in network construction problems. - Fabian Schrumpf, Patrick Frenzel, Christoph Aust, Georg Osterhoff, Mirco Fuchs:
Assessment of deep learning based blood pressure prediction from PPG and rPPG signals. - Megh Shukla, Shuaib Ahmed:
A Mathematical Analysis of Learning Loss for Active Learning in Regression. - Martin Halla:
On the approximation of dispersive electromagnetic eigenvalue problems in 2D. - Andrés L. Suárez-Cetrulo
, Ankit Kumar, Luis Miralles-Pechuán:
Modelling the COVID-19 virus evolution with Incremental Machine Learning. - Mehdi Letafati, Hamid Behroozi, Babak Hossein Khalaj, Eduard A. Jorswieck:
On Learning-Assisted Content-Based Secure Image Transmission for Delay-Aware Systems with Randomly-Distributed Eavesdroppers - Extended Version. - Rodrigo Rebouças de Almeida, Christoph Treude
, Uirá Kulesza:
Beyond tight deadlines: what are the business causes for technical debt? - Anthony Cioppa, Adrien Deliège, Floriane Magera, Silvio Giancola, Olivier Barnich, Bernard Ghanem
, Marc Van Droogenbroeck:
Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting. - Alexandru Kampmann, Michael Lamberti, Nikola Petrovic, Stefan Kowalewski, Bassam Alrifaee:
Infrared Beacons for Robust Localization. - Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia:
Code Structure Guided Transformer for Source Code Summarization. - Grigory Malinovsky, Alibek Sailanbayev, Peter Richtárik
:
Random Reshuffling with Variance Reduction: New Analysis and Better Rates. - Antoine Lesage-Landry, Duncan S. Callaway:
Approximate Multi-Agent Fitted Q Iteration. - James Fitzpatrick, Deepak Ajwani, Paula Carroll:
Learning to Sparsify Travelling Salesman Problem Instances. - Alessandro Sebastianelli, Maria Pia del Rosso, Silvia Liberata Ullo:
A SAR speckle filter based on Residual Convolutional Neural Networks. - Sam Partee
, Matthew Ellis, Alessandro Rigazzi, Scott Bachman, Gustavo Marques, Andrew Shao, Benjamin Robbins:
Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate Modeling. - Frank Zhigang Wang:
Reply to "Comment on Phi memristor: Real memristor found", arXiv: 1909.12464. - Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Single-view robot pose and joint angle estimation via render & compare. - Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, Lizhuang Ma:
Contrastive Learning for Compact Single Image Dehazing. - Lyuyi Zhu, Kairui Feng, Ziyuan Pu, Wei Ma
:
Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models. - Sudeep Katakol, Luis Herranz, Fei Yang, Marta Mrak:
DANICE: Domain adaptation without forgetting in neural image compression. - Aniruddha Rajendra Rao, Matthew Reimherr:
Non-linear Functional Modeling using Neural Networks. - Burak Ekim
, Elif Sertel
:
A Multi-Task Deep Learning Framework for Building Footprint Segmentation. - Chuxiong Sun, Guoshi Wu:
Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training. - Joshitha Ravishankar, Mansi Sharma:
A Hierarchical Coding Scheme for Glasses-free 3D Displays Based on Scalable Hybrid Layered Representation of Real-World Light Fields. - Yihang Yin, Siyu Huang, Xiang Zhang, Dejing Dou:
BM-NAS: Bilevel Multimodal Neural Architecture Search. - Charalampos Avraam, Enrique Mallada:
Voltage Collapse Stabilization in Star DC Networks. - Bo Yang, Omobayode Fagbohungbe, Xuelin Cao, Chau Yuen, Lijun Qian, Dusit Niyato, Yan Zhang:
A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks. - S. M. A. Sharif, Rizwan Ali Naqvi, Mithun Biswas, Sungjun Kim:
A Two-stage Deep Network for High Dynamic Range Image Reconstruction. - Maike Buchin, Dennis Rohde:
Coresets for (k, 𝓁)-Median Clustering under the Fréchet Distance. - Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. - Marta Li Wang:
Algoritmos de minería de datos en la industria sanitaria. - S. M. A. Sharif, Rizwan Ali Naqvi, Mithun Biswas:
Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image Sensor. - Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff:
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. - Onkar Pandit, Yufang Hou:
Probing for Bridging Inference in Transformer Language Models. - Wenling Shang, Lasse Espeholt, Anton Raichuk, Tim Salimans:
Agent-Centric Representations for Multi-Agent Reinforcement Learning. - Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Arjun Mali:
OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas. - Federico Danieli, Scott P. MacLachlan:
Multigrid Reduction in Time for non-linear hyperbolic equations. - Chenyi Lei, Shixian Luo, Yong Liu, Wanggui He, Jiamang Wang, Guoxin Wang, Haihong Tang, Chunyan Miao, Houqiang Li:
Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training. - Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu:
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation. - Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos:
Local Pair and Bundle Discovery over Co-Evolving Time Series. - Xiao Liu, Da Yin, Yansong Feng, Yuting Wu, Dongyan Zhao:
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis. - Jacopo Tagliabue, Ciro Greco, Jean-Francis Roy, Bingqing Yu, Patrick John Chia, Federico Bianchi, Giovanni Cassani
:
SIGIR 2021 E-Commerce Workshop Data Challenge. - Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal:
Improving Adversarial Robustness Using Proxy Distributions. - Takaaki Hori, Niko Moritz, Chiori Hori, Jonathan Le Roux:
Advanced Long-context End-to-end Speech Recognition Using Context-expanded Transformers. - Jamal Al Qundus
, Silvio Peikert, Adrian Paschke:
AI supported Topic Modeling using KNIME-Workflows. - Luca Aceto, Duncan Paul Attard, Adrian Francalanza, Anna Ingólfsdóttir:
A Choreographed Outline Instrumentation Algorithm for Asynchronous Components. - Hyoungjun Park, Myeongsu Na, Bumju Kim, Soohyun Park, Ki Hean Kim, Sunghoe Chang, Jong Chul Ye:
Axial-to-lateral super-resolution for 3D fluorescence microscopy using unsupervised deep learning. - Difan Zou, Spencer Frei, Quanquan Gu:
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise. - Rajesh N. Rao, Manojit Chakraborty:
Vec2GC - A Graph Based Clustering Method for Text Representations. - Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Yi Lu, Weiming Hu:
One More Check: Making "Fake Background" Be Tracked Again. - Paul H. Masur, Jeffrey H. Reed:
Artificial Intelligence in Open Radio Access Network. - Guy Ben-Yosef
, Gabriel Kreiman, Shimon Ullman:
What can human minimal videos tell us about dynamic recognition models? - Jing Liang, Li Niu, Liqing Zhang:
Inharmonious Region Localization. - Jack Kosaian, K. V. Rashmi:
Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs. - Zhen Wei, Bingkun Liu, Weinong Wang, Yu-Wing Tai:
Few-Shot Model Adaptation for Customized Facial Landmark Detection, Segmentation, Stylization and Shadow Removal. - Marc Finzi, Max Welling, Andrew Gordon Wilson:
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups. - Xin Wei, Runqi Qiu, Houyu Yu, Yurun Yang, Haoyu Tian, Xiang Xiang:
Entropy-based Optimization via A* Algorithm for Parking Space Recommendation. - Tobias Fiebig, Seda F. Gürses, Carlos Hernandez Gañán, Erna Kotkamp, Fernando Kuipers, Martina Lindorfer, Menghua Prisse, Taritha Sari:
Heads in the Clouds: Measuring the Implications of Universities Migrating to Public Clouds. - Michalis Lazarou, Yannis Avrithis, Tania Stathaki:
Few-shot learning via tensor hallucination. - Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, Mark O. Riedl:
Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior. - Julian D. Cortes
:
Dissension or consensus? Management and Business Research in Latin America and the Caribbean. - V. Repinskiy, V. Kovalenko:
DepMiner: A Pipelineable Tool for Mining of Intra-Project Dependencies. - Julian D. Cortes
, Zaida Chinchilla-Rodríguez, Katerina Bohle Karbonell:
Science Mapping to study academic knowledge circulation. - Gianira N. Alfarano, Anina Gruica, Julia Lieb, Joachim Rosenthal:
Convolutional codes over finite chain rings, MDP codes and their characterization. - Mayank Goel, Gourav Singal:
Android OS CASE STUDY. - Gasper Begus
, Alan Zhou:
Interpreting intermediate convolutional layers of CNNs trained on raw speech. - José María Manzano, David Muñoz de la Peña, Daniel Limón:
Oracle-based economic predictive control. - Camilo Velázquez-Rodríguez
, Rodolfo García-Bermúdez, Fernando Rojas Ruiz, Roberto Becerra-García, Luís Velázquez:
Automatic glissade determination through a mathematical model in electrooculographic records. - Megh Shukla
:
EGL++: Extending Expected Gradient Length to Active Learning for Human Pose Estimation. - Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Temporal Query Networks for Fine-grained Video Understanding. - Haoyu Chen, Jinjin Gu, Zhi Zhang:
Attention in Attention Network for Image Super-Resolution. - Daniel Geng, Andrew Owens:
Comparing Correspondences: Video Prediction with Correspondence-wise Losses. - Yifeng Che, Joseph Yurko, Koroush Shirvan:
Machine learning-assisted surrogate construction for full-core fuel performance analysis. - Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer:
Transductive Learning for Abstractive News Summarization. - A. Yavuz Oruç, Abdullah Atmaca, Y. Nevzat Sengun, A. Semi Yeniyol:
CodeAPeel: An Integrated and Layered Learning Technology For Computer Architecture Courses. - Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos:
Local Similarity Search on Geolocated Time Series Using Hybrid Indexing. - Adi Haviv, Lior Vassertail, Omer Levy:
Can Latent Alignments Improve Autoregressive Machine Translation? - Ruicheng Feng, Chongyi Li, Huaijin G. Chen, Shuai Li, Chen Change Loy, Jinwei Gu:
Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network. - Dylan Cope, Nandi Schoots:
Learning to Communicate with Strangers via Channel Randomisation Methods. - Ashwin Rajadesingan, Ceren Budak, Paul Resnick:
Political Discussion is Abundant in Non-political Subreddits (and Less Toxic). - Hammond Pearce, Kaushik Yanamandra, Nikhil Gupta, Ramesh Karri:
FLAW3D: A Trojan-based Cyber Attack on the Physical Outcomes of Additive Manufacturing. - Madalina Ciortan, Romain Dupuis, Thomas Peel:
A Framework using Contrastive Learning for Classification with Noisy Labels. - Igor Sfiligoi, Daniel McDonald, Rob Knight:
Accelerating key bioinformatics tasks 100-fold by improving memory access. - Aashna Ahuja, Arindam Chaudhuri:
Detecting Vehicle Type and License Plate Number of different Vehicles on Images. - Emrah Sariboz, Kartick Kolachala, Gaurav Panwar, Roopa Vishwanathan, Satyajayant Misra:
Off-chain Execution and Verification of Computationally Intensive Smart Contracts. - Shuaicheng Zhang, Lifu Huang, Qiang Ning:
Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer. - Biswa P. S. Sahoo, Satyabrata Swain, Hung-Yu Wei, Mahasweta Sarkar:
Medium Access Strategies for Integrated Access and Backhaul at mmWaves Unlicensed Spectrum. - Pei Zhou, Pegah Jandaghi, Bill Yuchen Lin, Justin Cho, Jay Pujara, Xiang Ren:
Probing Causal Common Sense in Dialogue Response Generation. - Kartik Mehta, Ioana Oprea, Nikhil Rasiwasia:
LaTeX-Numeric: Language-agnostic Text attribute eXtraction for E-commerce Numeric Attributes. - J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham:
Mapping Moral Valence of Tweets Following the Killing of George Floyd. - Jialu Li, Hao Tan, Mohit Bansal:
Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information. - Paul Scharnhorst, Emilio Tanowe Maddalena, Yuning Jiang, Colin N. Jones:
Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach. - Raghav Malik, Vidush Singhal, Benjamin Gottfried, Milind Kulkarni:
Vectorized Secure Evaluation of Decision Forests. - Giacomo Miolo, Giulio Mantoan, Carlotta Orsenigo:
ELECTRAMed: a new pre-trained language representation model for biomedical NLP. - Hamed Jelodar, Richard Frank:
Semantic Knowledge Discovery and Discussion Mining of Incel Online Community: Topic modeling. - Yaqi Xia, Yan Xia, Wei Li, Rui Song, Kailang Cao, Uwe Stilla:
ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion. - Bowen Weng, Linda Capito, Ümit Özgüner, Keith A. Redmill:
Towards Guaranteed Safety Assurance of Automated Driving Systems with Scenario Sampling: An Invariant Set Perspective (Extended Version). - Jisung Park, Myungsuk Kim, Myoungjun Chun, Lois Orosa, Jihong Kim, Onur Mutlu:
Reducing Solid-State Drive Read Latency by Optimizing Read-Retry. - Ronal Singh, Upol Ehsan, Marc Cheong, Mark O. Riedl, Tim Miller:
LEx: A Framework for Operationalising Layers of Machine Learning Explanations. - Lixiang Li, Yao Chen, Zacharie Zirnheld, Pan Li, Cong Hao:
MELOPPR: Software/Hardware Co-design for Memory-efficient Low-latency Personalized PageRank. - Per Egil Kummervold, Javier de la Rosa, Freddy Wetjen, Svein Arne Brygfjeld:
Operationalizing a National Digital Library: The Case for a Norwegian Transformer Model. - Ziqiao Zhang
, Said Al-Abri, Fumin Zhang:
Dissensus Algorithms for Opinion Dynamics on the Sphere. - Caleb Bowyer:
Predictor-Corrector(PC) Temporal Difference(TD) Learning (PCTD). - Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu:
Engineering Sketch Generation for Computer-Aided Design. - Arturo Sánchez Pineda:
A proposal for Transversal Computer-related Strategies & Services for Scientific and Training efforts for the LASF4RI. - Jan Niklas Fuhg, Nikolaos Bouklas:
The mixed deep energy method for resolving concentration features in finite strain hyperelasticity. - Cheng Chang, Liu Liu, Tieyong Zeng:
Finite Difference Nets: A Deep Recurrent Framework for Solving Evolution PDEs. - Mo Han, Mehrshad Zandigohar
, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus:
Segmentation and Classification of EMG Time-Series During Reach-to-Grasp Motion. - Eleonora Grassucci
, Edoardo Cicero, Danilo Comminiello:
Quaternion Generative Adversarial Networks. - Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen M. Voorhees, Lucy Lu Wang, William R. Hersh:
Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID. - Benjamin Newman, Kai-Siang Ang, Julia Gong, John Hewitt:
Refining Targeted Syntactic Evaluation of Language Models. - Paola Boito, Roberto Grena:
Quantum hub and authority centrality measures for directed networks based on continuous-time quantum walks. - Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini:
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. - Milad Sadoughi, Amirhossein Pourdadashnia
, Mohammad Farhadi-Kangarlu, Sadjad Galvani:
Reducing Harmonic Distortion in a 5-Level Cascaded H-bridge Inverter Fed by a 12-Pulse Thyristor Rectifier. - Amirhossein Pourdadashnia, Milad Sadoughi, Mohammad Farhadi-Kangarlu, Behrouz Tousi:
Selective Harmonic Elimination in a Cascaded H-Bridge Multilevel Inverter fed by High-Frequency Isolated DC-DC Converter. - Bhavani Singh Agnikula Kshatriya, Nicolas A. Nunez, Manuel Gardea-Resendez, Euijung Ryu, Brandon J. Coombes, Sunyang Fu, Mark A. Frye, Joanna M. Biernacka, Yanshan Wang:
Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes. - Alexander Spangher, Jonathan May:
\textit{NewsEdits}: A Dataset of Revision Histories for News Articles (Technical Report: Data Processing). - Simon Mandlík, Tomás Pevný:
Mapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks. - Vasanth Reddy, Hoda Eldardiry, Almuatazbellah Boker:
Singular Perturbation-based Reinforcement Learning of Two-Point Boundary Optimal Control Systems. - Alexander Spangher, Nanyun Peng, Jonathan May, Emilio Ferrara:
Modeling "Newsworthiness" for Lead-Generation Across Corpora. - Alexander Spangher, Nanyun Peng, Jonathan May, Emilio Ferrara:
"Don't quote me on that": Finding Mixtures of Sources in News Articles. - Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong:
Calibration and Consistency of Adversarial Surrogate Losses. - Allen Liu, Ankur Moitra:
Learning GMMs with Nearly Optimal Robustness Guarantees. - Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A. Erdogdu, Ross J. Anderson:
Manipulating SGD with Data Ordering Attacks. - Thurston H. Y. Dang, José Pablo Cambronero, Martin C. Rinard:
Inferring Drop-in Binary Parsers from Program Executions. - Diluka Loku Galappaththige, Gayan Amarasuriya Aruma Baduge:
Exploiting Underlay Spectrum Sharing in Cell-Free Massive MIMO Systems. - Thilina Ranbaduge, Peter Christen, Rainer Schnell:
Large Scale Record Linkage in the Presence of Missing Data. - Sushovan Das, Afsaneh Rahbar, Xinyu Crystal Wu, Zhuang Wang, Weitao Wang, Ang Chen, T. S. Eugene Ng:
Shufflecast: An Optical, Data-rate Agnostic and Low-Power Multicast Architecture for Next-Generation Compute Clusters. - Pierre Lison, Jeremy Barnes, Aliaksandr Hubin:
skweak: Weak Supervision Made Easy for NLP. - Bogdan Kustowski, Jim A. Gaffney, Brian K. Spears, Gemma J. Anderson, Rushil Anirudh, Peer-Timo Bremer, Jayaraman J. Thiagarajan:
Transfer learning suppresses simulation bias in predictive models built from sparse, multi-modal data. - Felix Rempe, Philipp Franeck, Klaus Bogenberger:
Estimating Traffic Speeds using Probe Data: A Deep Neural Network Approach. - Ang Zhang, Keisuke Koyama, Weiwei Wan, Kensuke Harada:
Controlling Pivoting Gait using Graph Model Predictive Control. - Vít Novotný, Michal Stefánik, Eniafe Festus Ayetiran, Petr Sojka
:
When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting. - Peipei Wang, Chris Brown, Jamie A. Jennings, Kathryn T. Stolee:
Demystifying Regular Expression Bugs: A comprehensive study on regular expression bug causes, fixes, and testing. - Luca Di Liello, Matteo Gabburo, Alessandro Moschitti:
Efficient pre-training objectives for Transformers. - Meryem M'hamdi, Doo Soon Kim, Franck Dernoncourt, Trung Bui, Xiang Ren, Jonathan May:
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering. - Benjamin Rivière, Wolfgang Hönig, Matthew Anderson, Soon-Jo Chung:
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments. - Erkan Kayacan, Erdal Kayacan, Herman Ramon, Wouter Saeys:
Distributed nonlinear model predictive control of an autonomous tractor-trailer system. - Fan Zhang, Khac-Hoang Ngo, Sheng Yang, Aria Nosratinia:
Transmit Correlation Diversity: Generalization, New Techniques, and Improved Bounds. - Qingxiu Dong, Zhifang Sui, Weidong Zhan, Baobao Chang:
Problems and Countermeasures in Natural Language Processing Evaluation. - Hong Wen, Jing Zhang, Fuyu Lv, Wentian Bao, Tianyi Wang, Zulong Chen:
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction. - Yuzi Yan, Xu Tan, Bohan Li, Tao Qin, Sheng Zhao, Yuan Shen, Tie-Yan Liu:
AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data. - A. R. Balasubramanian, Timo Lang, Revantha Ramanayake:
Decidability and Complexity in Weakening and Contraction Hypersequent Substructural Logics. - Karoliina Lehtinen, Pawel Parys, Sven Schewe, Dominik Wojtczak:
A Recursive Approach to Solving Parity Games in Quasipolynomial Time. - Victoria M. T. Palhares, André R. Flores, Rodrigo C. de Lamare:
Robust MMSE Precoding and Power Allocation for Cell-Free Networks. - Lianli Gao, Qilong Zhang, Xiaosu Zhu, Jingkuan Song, Heng Tao Shen:
Staircase Sign Method for Boosting Adversarial Attacks. - Ye Wang
, Qing Wang, Henning Koehler, Yu Lin:
Query-by-Sketch: Scaling Shortest Path Graph Queries on Very Large Networks. - Alisa Chang, Badih Ghazi, Ravi Kumar, Pasin Manurangsi:
Locally Private k-Means in One Round. - Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao:
Hypervolume-Optimal μ-Distributions on Line/Plane-based Pareto Fronts in Three Dimensions. - John Sebastian H. Simon, Hirofumi Notsu:
Vorticity Maximization of a Linear Fluid Flow via Volume Constrained and Perimeter Regularized Shape Optimization. - Shuguang Chen, Leonardo Neves, Thamar Solorio
:
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp. - Wenzhe Shan, Udo Nackenhorst:
Computing Arlequin coupling coefficient for concurrent FE-MD approaches. - Adrit Rao, Kevin Battenfield, Oliver O. Aalami:
Waveform Phasicity Prediction from Arterial Sounds through Spectogram Analysis using Convolutional Neural Networks for Limb Perfusion Assessment. - Wenzhe Shan, Udo Nackenhorst:
Interpolation of Microscale Stress and Strain Fields Based on Mechanical Models. - Alfonso Lobos, Paul Grigas, Zheng Wen:
Joint Online Learning and Decision-making via Dual Mirror Descent. - Zijian Kuang, Xinran Tie:
Flow-based Video Segmentation for Human Head and Shoulders. - Nao Uehara, Teruaki Hayashi, Yukio Ohsawa:
Hierarchical entropy and domain interaction to understand the structure in an image. - Mohamed Elhoseiny
, Divyansh Jha, Kai Yi
, Ivan Skorokhodov
:
Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation. - Keval Doshi, Yasin Yilmaz:
An Efficient Approach for Anomaly Detection in Traffic Videos. - Zejia Weng, Zuxuan Wu, Hengduo Li, Yu-Gang Jiang:
HMS: Hierarchical Modality Selection for Efficient Video Recognition. - Xinzhu Bei, Yanchao Yang, Stefano Soatto:
Learning Semantic-Aware Dynamics for Video Prediction. - Yiping Jin, Akshay Bhatia, Dittaya Wanvarie:
Seed Word Selection for Weakly-Supervised Text Classification with Unsupervised Error Estimation. - Jianyuan Yin, Lei Zhang, Pingwen Zhang:
Solution landscape of Onsager functional identifies non-axisymmetric critical points. - Mustafa E. Danis
, Jue Yan:
A new direct discontinuous Galerkin method with interface correction for two-dimensional compressible Navier-Stokes equations. - Carl-Johannes Johnsen, Alberte Thegler, Kenneth Skovhede, Brian Vinter:
SME: A High Productivity FPGA Tool for Software Programmers. - Junke Wang, Zuxuan Wu, Jingjing Chen, Yu-Gang Jiang:
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection. - Zhaoming Xie, Xingye Da, Buck Babich, Animesh Garg, Michiel van de Panne:
GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model. - Alexandros Ioannidis:
An Analysis of Indexing and Querying Strategies on a Technologically Assisted Review Task. - JongYoon Lim, Inkyu Sa, Ho Seok Ahn, Norina Gasteiger, Sanghyub John Lee, Bruce A. MacDonald:
Subsentence Extraction from Text Using Coverage-Based Deep Learning Language Models. - Xing Wei, Chenyang Yang:
Privacy-aware VR streaming. - Yu Liu, Quanming Yao, Yong Li:
Role-Aware Modeling for N-ary Relational Knowledge Bases. - Glenn Ceusters
, Román Cantú Rodríguez, Alberte Bouso García, Rüdiger Franke, Geert Deconinck, Lieve Helsen, Ann Nowé
, Maarten Messagie
, Luis Ramirez Camargo
:
Model-predictive control and reinforcement learning in multi-energy system case studies. - Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, Jan Hendrik Metzen:
Does enhanced shape bias improve neural network robustness to common corruptions? - Naoto Komeno, Takamitsu Matsubara:
Tactile Perception based on Injected Vibration in Soft Sensor. - Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yingyan Li, Xueqi Cheng:
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. - Iftah Gamzu, Hila Gonen, Gilad Kutiel, Ran Levy, Eugene Agichtein:
Identifying Helpful Sentences in Product Reviews. - Junekyu Park, Jeong-Hyeon Moon, Namhyuk Ahn, Kyung-Ah Sohn:
What is Wrong with One-Class Anomaly Detection? - Alireza Khadem, Haojie Ye, Trevor N. Mudge:
CoDR: Computation and Data Reuse Aware CNN Accelerator. - Zhu Bo, Rang Liu, Ming Li, Qian Liu:
Deep Learning based Efficient Symbol-Level Precoding Design for MU-MISO Systems. - Bishakh Chandra Ghosh, Tanay Bhartia, Sourav Kanti Addya, Sandip Chakraborty:
Leveraging Public-Private Blockchain Interoperability for Closed Consortium Interfacing. - Sebastian Berndt, Kilian Grage, Klaus Jansen, Lukas Johannsen, Maria Kosche:
Robust Online Algorithms for Dynamic Choosing Problems. - Wu Zheng, Weiliang Tang, Li Jiang, Chi-Wing Fu:
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud. - Zechao Li, Yanpeng Sun, Jinhui Tang:
CTNet: Context-based Tandem Network for Semantic Segmentation. - Renzheng Wei, Lijun Cai, Aimin Yu, Dan Meng:
DeepHunter: A Graph Neural Network Based Approach for Robust Cyber Threat Hunting. - Bar Mayo, Tamir Hazan, Ayellet Tal:
Visual Navigation with Spatial Attention. - Leon Amadeus Varga, Jan Makowski, Andreas Zell:
Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning. - Alejandro Álvarez-Ayllón
, Manuel Palomo-Duarte, Juan Manuel Dodero:
Inference of Common Multidimensional Equally-Distributed Attributes. - Weiwen Xu, Ai Ti Aw, Yang Ding, Kui Wu, Shafiq R. Joty:
Addressing the Vulnerability of NMT in Input Perturbations. - Artur Cyba, Hubert Szolc, Tomasz Kryjak:
A simple vision-based navigation and control strategy for autonomous drone racing. - Sujata Ghosh, Shreyas Gupta, Lei Li:
On link deletion and point deletion in games on graphs. - Lotte Weedage
, Clara Stegehuis, Suzan Bayhan:
Impact of Multi-connectivity on Channel Capacity and Outage Probability in Wireless Networks. - Jay Mundra, Rohan Gupta, Sagnik Mukherjee:
WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction. - Florian Wilkens, Steffen Haas, Johanna Amann, Mathias Fischer:
Passive, Transparent, and Selective TLS Decryption for Network Security Monitoring. - Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. - (Withdrawn) A novel three-stage training strategy for long-tailed classification.
- Tianyun Liu, Diqun Yan:
Identification of fake stereo audio. - Honai Ueoka, Yugo Murawaki, Sadao Kurohashi:
Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model. - Vassilios A. Dougalis, Angel Durán, Leetha Saridaki:
Numerical solution of internal-wave systems in the intermediate long wave and the Benjamin-Ono regimes. - Amee Trivedi, Kate Silverstein, Emma Strubell, Prashant J. Shenoy:
WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing. - Jirí Adámek, Stefan Milius, Lawrence S. Moss:
An Initial Algebra Theorem Without Iteration. - Dario Piga, Marco Forgione, Manas Mejari:
Deep learning with transfer functions: new applications in system identification. - Daehee Kim, Seunghyun Park, Jinkyu Kim, Jaekoo Lee:
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization. - Nora Hagmeyer, Matthias Mayr, Ivo Steinbrecher, Alexander Popp:
Fluid-beam interaction: Capturing the effect of embedded slender bodies on global fluid flow and vice versa. - Nicolas Amat, Bernard Berthomieu, Silvano Dal-Zilio
:
On the Combination of Polyhedral Abstraction and SMT-based Model Checking for Petri nets. - Islam Debicha
, Thibault Debatty, Jean-Michel Dricot, Wim Mees:
Adversarial Training for Deep Learning-based Intrusion Detection Systems. - Robin Winter, Frank Noé, Djork-Arné Clevert:
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning. - Zizhou Lao, Yuanfeng Han, Gregory S. Chirikjian:
How Heavy Is It? Humanoid Robot Estimating Physical Properties of Unknown Objects Without Force/Torque Sensors. - Jianlin Su, Yu Lu, Shengfeng Pan, Bo Wen, Yunfeng Liu:
RoFormer: Enhanced Transformer with Rotary Position Embedding. - Prashant Shivaram Bhat, Elahe Arani, Bahram Zonooz:
Distill on the Go: Online knowledge distillation in self-supervised learning. - Claudia D'Ettorre, Andrea Mariani, Agostino Stilli, Ferdinando Rodriguez y Baena, Pietro Valdastri, Anton Deguet, Peter Kazanzides, Russell H. Taylor, Gregory S. Fischer, Simon P. DiMaio, Arianna Menciassi, Danail Stoyanov:
Accelerating Surgical Robotics Research: Reviewing 10 Years of Research with the dVRK. - Shiyao Yan, Zequn Zhang, Xian Sun, Guangluan Xu, Li Jin, Shuchao Li:
HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction. - Jiwei Guan, Xi Zheng, Chen Wang, Yipeng Zhou, Alireza Jolfaei:
Robust Sensor Fusion Algorithms Against VoiceCommand Attacks in Autonomous Vehicles. - David Montero, Marcos Nieto, Peter Leskovský, Naiara Aginako:
Boosting Masked Face Recognition with Multi-Task ArcFace. - Muhammad Zaeem Hasan, Nemanja Stefan Perovic, Mark F. Flanagan:
Multilevel Polar Coded Space-Shift Keying. - Yan Qin, Wen-Tai Li, Chau Yuen, Wayes Tushar, Tapan Kumar Saha:
IIoT-Enabled Health Monitoring for Integrated Heat Pump System Using Mixture Slow Feature Analysis. - Dawa Derksen, Dario Izzo:
Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetry. - Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing. - Monica Nonino
, Francesco Ballarin, Gianluigi Rozza:
A monolithic and a partitioned Reduced Basis Method for Fluid-Structure Interaction problems. - Chao Qian, Dan-Xuan Liu, Chao Feng, Ke Tang:
Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences. - Junxuan Li, Hongdong Li, Yasuyuki Matsushita:
Lighting, Reflectance and Geometry Estimation from 360° Panoramic Stereo. - Jianhao Jiao, Huaiyang Huang, Liang Li, Zhijian He, Yilong Zhu, Ming Liu:
Comparing Representations in Tracking for Event Camera-based SLAM. - Roy Friedman, Yair Weiss:
Posterior Sampling for Image Restoration using Explicit Patch Priors. - Danny Hendler, Adnane Khattabi, Alessia Milani, Corentin Travers:
Upper and Lower Bounds for Deterministic Approximate Objects. - Antonio Hernández Martínez, Javier Lorenzo Díaz, Iván García Daza, David Fernández Llorca:
Data-driven vehicle speed detection from synthetic driving simulator images. - Kaustubh Milind Kulkarni, Sucheth Shenoy
:
Table Tennis Stroke Recognition Using Two-Dimensional Human Pose Estimation. - Zengshun Zhaoa, Yulong Wang, Ke Liu, Haoran Yang, Qian Sun, Heng Qiao:
Semantic Segmentation by Improved Generative Adversarial Networks. - Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya, Mihai Datcu:
CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval. - Oliver Hope, Eiko Yoneki:
GDDR: GNN-based Data-Driven Routing. - Hashim A. Hashim:
GPS-denied Navigation: Attitude, Position, Linear Velocity, and Gravity Estimation with Nonlinear Stochastic Observer. - Benjamin Rosen, Adnan M. Abu-Mahfouz, Ling Cheng:
A Note on Slepian-Wolf Bounds for Several Node Grouping Configurations. - Eetu Sjöblom, Mathias Creutz, Teemu Vahtola:
Grammatical Error Generation Based on Translated Fragments. - Zhenning Li, Hao Yu, Guohui Zhang, Shangjia Dong, Cheng-Zhong Xu:
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning. - Yuge Shi, Jeffrey Seely, Philip H. S. Torr, N. Siddharth, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve:
Gradient Matching for Domain Generalization. - Patrick J. W. Koelewijn, Roland Tóth, Henk Nijmeijer, Siep Weiland:
Nonlinear Tracking and Rejection using Linear Parameter-Varying Control. - Paul Piho, Jane Hillston:
Active and sparse methods in smoothed model checking. - Galit Ashkenazi-Golan, Yevgeny Tsodikovich, Yannick Viossat:
I Want to Tell You? Maximizing Revenue in First-Price Two-Stage Auctions. - Juan F. Montesinos, Venkatesh S. Kadandale, Gloria Haro:
A cappella: Audio-visual Singing Voice Separation. - Kristen M. Scott, Pieter Delobelle, Bettina Berendt:
Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT. - Philip Zweihoff, Bernhard Steffen:
A Generative Approach for User-Centered, Collaborative, Domain-Specific Modeling Environments. - Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane:
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. - Akanksha Agrawal, Lawqueen Kanesh, Daniel Lokshtanov, Fahad Panolan, M. S. Ramanujan, Saket Saurabh:
Elimination Distance to Topological-minor-free Graphs is FPT. - Yuan Zhi, Zhan Tong, Limin Wang, Gangshan Wu:
MGSampler: An Explainable Sampling Strategy for Video Action Recognition. - An Liu, Zhe Huang, Min Li, Yubo Wan, Wenrui Li, Tony Xiao Han, Chenchen Liu, Rui Du, Danny Kai Pin Tan, Jianmin Lu, Yuan Shen, Fabiola Colone, Kevin Chetty:
A Survey on Fundamental Limits of Integrated Sensing and Communication. - Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri:
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset. - Martin Engelcke, Oiwi Parker Jones, Ingmar Posner:
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement. - Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov:
Identifying Driver Interactions via Conditional Behavior Prediction. - Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi, Wil M. P. van der Aalst:
Text-Aware Predictive Monitoring of Business Processes. - Dimitrios Iliadis, Bernard De Baets, Willem Waegeman:
Automated problem setting selection in multi-target prediction with AutoMTP. - Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran:
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series. - Claire Theobald, Bastien Arcelin, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli:
A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression. - Valentin Zieglmeier, Gabriel Loyola Daiqui:
GDPR-Compliant Use of Blockchain for Secure Usage Logs. - Dibyayan Chakraborty, Kshitij Gajjar
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Finding Geometric Representations of Apex Graphs is NP-Hard. - Jingwei Li, Xiao Li, Lili Ju, Xinlong Feng:
Stabilized integrating factor Runge-Kutta method and unconditional preservation of maximum bound principle. - Rahul Singh, Karan Jindal, Yufei Yu, Hanyu Yang, Tarun Joshi, Matthew A. Campbell, Wayne B. Shoumaker:
Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace. - (Withdrawn) Bitcoin Address Clustering Method Based on Multiple Heuristic Conditions.
- Neil Dhir, Henrique Hoeltgebaum, Niall M. Adams, Mark Briers, Anthony Burke, Paul Jones:
Prospective Artificial Intelligence Approaches for Active Cyber Defence. - Leon Mächler, David Naccache:
Explaining the Entombed Algorithm. - Hideo Bannai, Mitsuru Funakoshi, Tomohiro I, Dominik Köppl, Takuya Mieno, Takaaki Nishimoto:
A Separation of γ and b via Thue-Morse Words. - Loïc Jezequel, Ngoc-Son Vu, Jean Beaudet, Aymeric Histace:
Fine-grained Anomaly Detection via Multi-task Self-Supervision. - Valerian Rey, Pedro Miguel Sánchez Sánchez
, Alberto Huertas Celdrán, Gérôme Bovet, Martin Jaggi:
Federated Learning for Malware Detection in IoT Devices. - Zhaoxi Mu, Xinyu Yang, Yizhuo Dong:
Review of end-to-end speech synthesis technology based on deep learning. - Hossein Rastgoftar, Sergey G. Nersesov, Hashem Ashrafiuon:
Continuum Deformation Coordination of Multi-Agent Systems Using Cooperative Localization. - Andrew Lauziere, Ryan Christensen, Hari Shroff, Radu Balan:
An Exact Hypergraph Matching Algorithm for Nuclear Identification in Embryonic Caenorhabditis elegans. - Ramon Ruiz-Dolz, José Alemany, Stella Heras, Ana García-Fornes:
On the Prevention of Privacy Threats: How Can We Persuade Our Social Network Users? - Olga Lukyanova, Oleg Nikitin, Alex Kunin:
BraidNet: procedural generation of neural networks for image classification problems using braid theory. - Daniel Koguciuk, Elahe Arani, Bahram Zonooz:
Perceptual Loss for Robust Unsupervised Homography Estimation. - Khemraj Shukla, Ameya D. Jagtap
, George Em Karniadakis:
Parallel Physics-Informed Neural Networks via Domain Decomposition. - Muhammad Almas Khan, Muazzam Ali Khan, Shahid Latif
, Awais Aziz Shah, Mujeeb Ur Rehman, Wadii Boulila, Maha Driss, Jawad Ahmad:
Voting Classifier-based Intrusion Detection for IoT Networks. - Sean Oesch, Anuj Gautam, Scott Ruoti:
The Emperor's New Autofill Framework: A Security Analysis of Autofill on iOS and Android. - Seyed Mehdi Meshkani, Bilal Farooq:
A Decentralized Shared CAV System Design and Application. - Stephen J. Maher, Ted K. Ralphs, Yuji Shinano:
Assessing the Effectiveness of (Parallel) Branch-and-bound Algorithms. - Ilche Georgievski:
HTN Planning Domain for Deployment of Cloud Applications. - Yang Ma, Chaoyi Zhang, Mariano Cabezas, Yang Song, Zihao Tang, Dongnan Liu, Tom Weidong Cai, Michael Barnett, Chenyu Wang:
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications. - Alessandro Pellegrini:
Reproducibility Report for the Paper: QN-based Modeling and Analysis of Software Performance Antipatterns for Cyber-Physical Systems. - Manh Duong Phung, Quang Phuc Ha:
Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization. - Molly Buchanan, Jeffrey W. Collyer, Jack W. Davidson, Saikat Dey, Mark Gardner, Jason D. Hiser, Jeffry Lang, Alastair Nottingham, Alina Oprea:
On Generating and Labeling Network Traffic with Realistic, Self-Propagating Malware. - Pankaj Mishra
, Riccardo Verk, Daniele Fornasier, Claudio Piciarelli, Gian Luca Foresti:
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization. - Rui Yang, Zhi Yan, Tao Yang, Yassine Ruichek:
Efficient Online Transfer Learning for 3D Object Classification in Autonomous Driving. - Morteza Ramezani, Anand Sivasubramaniam, Mahmut T. Kandemir:
GraphGuess: Approximate Graph Processing System with Adaptive Correction. - Anwesh Bhattacharya, Snehanshu Saha:
Fairly Constricted Particle Swarm Optimization. - Elvis Han Cui, Dongyuan Song, Weng Kee Wong:
Particle swarm optimization in constrained maximum likelihood estimation a case study. - Vasyliy I. Gurianov
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A Brief Overview of the UML Scientific Profile. - Yanfei Li, Tong Geng, Ang Li, Huimin Yu:
BCNN: Binary Complex Neural Network. - Ignacio Sarasua, Jonwong Lee, Christian Wachinger:
Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease. - Harbir Antil, Sören Bartels, Armin Schikorra:
Approximation of fractional harmonic maps. - Steffen Czolbe, Oswin Krause, Aasa Feragen:
Semantic similarity metrics for learned image registration. - Xiaohan Wang, Linchao Zhu, Yi Yang:
T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval. - Palash Sarkar, Sudhan Majhi, Zilong Liu:
Pseudo-Boolean Functions for Optimal Z-Complementary Code Sets with Flexible Lengths. - Wai Hou Lio, Fanzhong Meng:
Kalman-based interacting multiple-model wind speed estimator for wind turbines. - Jiaxin Cheng, Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Prem Natarajan:
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer. - Yingpeng Deng, Lina J. Karam:
Learning-based Compression for Material and Texture Recognition. - Christian Requena-Mesa, Vitus Benson, Markus Reichstein, Jakob Runge, Joachim Denzler:
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task. - Lukas Bernreiter, Lionel Ott, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems. - Maria Koshkina, Hemanth Pidaparthy, James H. Elder:
Contrastive Learning for Sports Video: Unsupervised Player Classification. - Xiao-Yan Cao, Jun-Jie Zhang:
ZMCintegral-v5.1: Support for Multi-function Integrations on GPUs. - Yijun Yang, Ruiyuan Gao, Yu Li, Qiuxia Lai, Qiang Xu:
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis. - Michael Oechsle, Songyou Peng, Andreas Geiger:
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction. - Nikola Dolezalova, Angus B. Reed, Alex Despotovic, Bernard Dillon Obika, Davide Morelli, Mert Aral, David Plans:
Development of an accessible 10-year Digital CArdioVAscular (DiCAVA) risk assessment: a UK Biobank study. - Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
Personalized News Recommendation with Knowledge-aware Interactive Matching. - Kain Kordian Gontarska, Weronika Wrazen, Jossekin Beilharz, Robert Schmid, Lauritz Thamsen, Andreas Polze:
Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring. - Davide Morelli, N. Dolezalova, S. Ponzo, Michele Colombo, David Plans:
Development of digitally obtainable 10-year risk scores for depression and anxiety in the general population. - Robert Altmann, Roland Maier:
A decoupling and linearizing discretization for poroelasticity with nonlinear permeability. - Gido M. van de Ven, Zhe Li, Andreas S. Tolias:
Class-Incremental Learning with Generative Classifiers. - Zezhong Zhang, Guangxu Zhu, Rui Wang, Vincent K. N. Lau, Kaibin Huang:
Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis. - Boaz Shmueli
, Jan Fell, Soumya Ray, Lun-Wei Ku:
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing. - Son T. Luu, Ngan Luu-Thuy Nguyen:
UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and Toxic Bert Comment Classification. - S. Chandra Mouli, Bruno Ribeiro:
Neural Networks for Learning Counterfactual G-Invariances from Single Environments. - Javier Álvarez Cid-Fuentes, Pol Álvarez, Salvi Solà, Kuninori Ishii, Rafael K. Morizawa, Rosa M. Badia:
ds-array: A Distributed Data Structure for Large Scale Machine Learning. - Nikola Dolezalova, Massimo Cairo, Alex Despotovic, Adam T. C. Booth, Angus B. Reed, Davide Morelli, David Plans:
Development of a dynamic type 2 diabetes risk prediction tool: a UK Biobank study. - Edo Jelavic, Dominic Jud, Pascal Egli, Marco Hutter:
Towards Autonomous Robotic Precision Harvesting. - Joshua Peter Ebenezer, Yongjun Wu, Hai Wei, Sriram Sethuraman, Zongyi Liu:
Detection of Audio-Video Synchronization Errors Via Event Detection. - Yuting Guo, Jinho D. Choi:
Enhancing Cognitive Models of Emotions with Representation Learning. - Juan M. Tizón, Pablo Sierra, Luis Sánchez de León, Emilio Navarro, Javier Vilá, José F. Moral:
Developing a New Tool to Implement Computer-Supported Active Learning Strategies in the Engineering Classroom. - Shahin Amiriparian, Artem Sokolov, Ilhan Aslan, Lukas Christ, Maurice Gerczuk, Tobias Hübner, Dmitry Lamanov, Manuel Milling, Sandra Ottl, Ilya Poduremennykh, Evgeniy Shuranov, Björn W. Schuller:
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era. - Ali Abedi, Shehroz S. Khan:
Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network. - Niclas Boehmer, Robert Bredereck, Dusan Knop, Junjie Luo:
Finding Small Multi-Demand Set Covers with Ubiquitous Elements and Large Sets is Fixed-Parameter Tractable. - Yuxin Mao, Jing Zhang, Zhexiong Wan, Yuchao Dai, Aixuan Li, Yunqiu Lv, Xinyu Tian, Deng-Ping Fan, Nick Barnes:
Transformer Transforms Salient Object Detection and Camouflaged Object Detection. - Hengxin Fun, Sunil Gandhi, Sujith Ravi:
Efficient Retrieval Optimized Multi-task Learning. - Xiang Zhou, Heba Elfardy, Christos Christodoulopoulos, Thomas Butler, Mohit Bansal:
Hidden Biases in Unreliable News Detection Datasets. - Claudio Gallicchio, Alessio Micheli, Luca Silvestri:
Phase Transition Adaptation. - Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Benjamin Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov:
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. - Aasheesh Dixit, Garima Shakya, Suresh Kumar Jakhar, Swaprava Nath:
Egalitarian and Congestion Aware Truthful Airport Slot Allocation Mechanism. - Mario Di Mauro, Giovanni Galatro, Maurizio Longo, Fabio Postiglione, Marco Tambasco:
HASFC: a MANO-compliant Framework for Availability Management of Service Chains. - Pritish Sahu, Karan Sikka, Ajay Divakaran:
Towards Solving Multimodal Comprehension. - Xianjia Yu, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund:
An Overview of Federated Learning at the Edge and Distributed Ledger Technologies for Robotic and Autonomous Systems. - Igor Muzetti Pereira, Tiago Garcia de Senna Carneiro, Eduardo Figueiredo:
Understanding the Context of IoT Software Systems in DevOps. - Liang Pan, Xinyi Chen, Zhongang Cai, Junzhe Zhang, Haiyu Zhao, Shuai Yi, Ziwei Liu:
Variational Relational Point Completion Network. - Olaf Korzilius, Olaf Borsboom, Theo Hofman, Mauro Salazar:
Optimal Design of Electric Micromobility Vehicles. - Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Understanding Synonymous Referring Expressions via Contrastive Features. - Wilson Yan, Yunzhi Zhang, Pieter Abbeel, Aravind Srinivas:
VideoGPT: Video Generation using VQ-VAE and Transformers. - Luis Pineda, Brandon Amos, Amy Zhang, Nathan O. Lambert, Roberto Calandra:
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning. - Amit Moryossef, Ioannis Tsochantaridis, Joe Dinn, Necati Cihan Camgöz, Richard Bowden, Tao Jiang, Annette Rios, Mathias Müller, Sarah Ebling:
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition. - Tim G. J. Rudner
, Vitchyr H. Pong, Rowan McAllister, Yarin Gal, Sergey Levine:
Outcome-Driven Reinforcement Learning via Variational Inference. - Lisa Bauer, Mohit Bansal:
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks. - Santosh Balajee Banisetty, Vineeth Rajamohan, Fausto Vega, David Feil-Seifer:
A Deep Learning Approach To Multi-Context Socially-Aware Navigation. - Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon:
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. - Hang Zhou
, Weiming Zhang, Kejiang Chen, Weixiang Li, Nenghai Yu:
Three-Dimensional Mesh Steganography and Steganalysis: A Review. - Richard A. Blythe, William Croft:
How individuals change language. - Nikolaos-Ioannis Galanis, Panagiotis Vafiadis, Kostas-Gkouram Mirzaev, George A. Papakostas:
Machine Learning Meets Natural Language Processing - The story so far. - Pei Chuan Chao, Ali Gürbüz
, Frederick Sachs, M. V. Sivaselvan:
Fully Implicit Spectral Boundary Integral Computation of Red Blood Cell Flow. - Sopan Khosla, James Fiacco, Carolyn P. Rosé
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Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance. - Sanaz Behbahani, Siddharth R. Chhatpar, Said Zahrai, Vishakh Duggal, Mohak Sukhwani:
Episodic Memory Model for Learning Robotic Manipulation Tasks. - Zikang Xiong, Suresh Jagannathan:
Scalable Synthesis of Verified Controllers in Deep Reinforcement Learning. - Saúl Calderón Ramírez, Luis Oala
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More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data. - Lukasz Korycki, Bartosz Krawczyk:
Concept Drift Detection from Multi-Class Imbalanced Data Streams. - Valentino Crespi, Wes Hardaker, Sami Abu-El-Haija, Aram Galstyan:
Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs. - Sina Karimi, Ivanka Iordanova, David St-Onge:
An ontology-based approach to data exchanges for robot navigation on construction sites. - Dapeng Zhao:
Predicting Human Trajectories by Learning and Matching Patterns. - Ian Porada, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
Modeling Event Plausibility with Consistent Conceptual Abstraction. - Saba Dadsetan, David Pichler, David Wilson, Naira Hovakimyan, Jennifer A. Hobbs:
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery. - Samuele Poppi
, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis. - Dushyant Sahoo, Christos Davatzikos:
Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning. - Leandro M. de Lima, Renato A. Krohling:
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning. - Philip Feldman, Sim Tiwari, Charissa S. L. Cheah, James R. Foulds, Shimei Pan:
Analyzing COVID-19 Tweets with Transformer-based Language Models. - Andres Molina-Markham, Ransom K. Winder, Ahmad Ridley:
Network Defense is Not a Game. - Alexander Spangher, Jonathan May:
\textit{StateCensusLaws.org}: A Web Application for Consuming and Annotating Legal Discourse Learning. - Asma Tabassum, Rohit K. S. S. Vuppala, He Bai, Kursat Kara:
Variance Reduction of Quadcopter Trajectory Tracking under Stochastic Wind Disturbances. - Claudia Faggian, Giulio Guerrieri, Ugo de'Liguoro, Riccardo Treglia:
On reduction and normalization in the computational core. - Andrea Bruera, Aurélie Herbelot:
Novel Aficionados and Doppelgängers: a referential task for semantic representations of individual entities. - Anis Kacem, Kseniya Cherenkova, Djamila Aouada:
Disentangled Face Identity Representations for joint 3D Face Recognition and Expression Neutralisation. - Christian Bräm, Marco Eilers
, Peter Müller, Robin Sierra, Alexander J. Summers:
Modular Verification of Collaborating Smart Contracts. - Pablo Torres, José M. Saavedra:
Compact and Effective Representations for Sketch-based Image Retrieval. - Weixin Liang, Yanhao Jiang, Zixuan Liu:
GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering. - Alexsander Andrade de Melo, Mateus de Oliveira Oliveira:
On the Width of Regular Classes of Finite Structures. - Tanvir Ferdousi
, Lee W. Cohnstaedt, Caterina M. Scoglio:
A windowed correlation based feature selection method to improve time series prediction of dengue fever cases. - Alexander Mai, Allen Y. Yang, Dominique E. Meyer:
Soft Expectation and Deep Maximization for Image Feature Detection. - Gabriel O. Flores-Aquino, Juan Irving Vasquez-Gomez, Octavio Gutiérrez-Frías:
Custom Distribution for Sampling-Based Motion Planning. - Sina Karimi, Rafael Gomes Braga, Ivanka Iordanova, David St-Onge:
Semantic Navigation Using Building Information on Construction Sites. - Xiaoyuan Wang, Zhiru Wu, Pengfei Zhou, Herbert H. C. Iu, Jason Kamran Eshraghian, Sung Mo Kang:
FPGA Synthesis of Ternary Memristor-CMOS Decoders. - Cho-Ying Wu, Ke Xu, Chin-Cheng Hsu, Ulrich Neumann:
Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices. - Ryoji Tanabe:
Towards Exploratory Landscape Analysis for Large-scale Optimization: A Dimensionality Reduction Framework. - Matina Baradaran, Justin H. Le, Andrew R. Teel:
Analyzing the Effect of Persistent Asset Switches on a Class of Hybrid-Inspired Optimization Algorithms. - Huaxin Pei, Yi Zhang, Qinghua Tao, Shuo Feng, Li Li:
Distributed Cooperative Driving in Multi-Intersection Road Networks. - Ye Xue, Vincent Lau, Songfu Cai:
Efficient Sparse Coding using Hierarchical Riemannian Pursuit. - Zhiling Zhang, Kenny Q. Zhu:
Diverse and Specific Clarification Question Generation with Keywords. - Kazuki Shibata, Tatsuya Miyano, Tomohiko Jimbo, Takamitsu Matsubara:
Robust shape estimation with false-positive contact detection. - Frederico Araujo, Dhilung Kirat, Xiaokui Shu, Teryl Taylor, Jiyong Jang:
Evidential Cyber Threat Hunting. - Sebastian A. Nugroho, Suyash C. Vishnoi, Ahmad F. Taha, Christian G. Claudel:
Feedback Stabilization and Output Tracking for Discrete-Time Lipschitz Nonlinear Systems via Iterative Convex Approximations. - Irene Tenison, Sreya Francis, Irina Rish:
Gradient Masked Federated Optimization. - Sanghyun Son, Kyoung Mu Lee:
SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation. - Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim:
Deep Transform and Metric Learning Networks. - Rui Qian, Xin Lai, Xirong Li:
Boundary-Aware 3D Object Detection from Point Clouds. - Jian Ma, Shu-Yi Xie, Haiqin Yang, Lian-Xin Jiang, Mengyuan Zhou, Xiaoyi Ruan, Yang Mo:
MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training. - Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang:
Shadow Generation for Composite Image in Real-world Scenes. - Qian Chen, Wen Wang, Mengzhe Chen, Qinglin Zhang:
Discriminative Self-training for Punctuation Prediction. - Wangzhi Li, Yaxing Cai, Ujwal Dinesha, Yongjie Fu, Xuan Di:
CVLight: Deep Reinforcement Learning for Adaptive Traffic Signal Control with Connected Vehicles. - Michael Hahn, Dan Jurafsky, Richard Futrell:
Sensitivity as a Complexity Measure for Sequence Classification Tasks. - Zheng Yuan, Yijia Liu, Chuanqi Tan, Songfang Huang, Fei Huang:
Improving Biomedical Pretrained Language Models with Knowledge. - Maurício Pamplona Segundo, Allan da Silva Pinto, Rodrigo Minetto, Ricardo da Silva Torres, Sudeep Sarkar:
Measuring economic activity from space: a case study using flying airplanes and COVID-19. - David A. Patterson, Joseph Gonzalez, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean:
Carbon Emissions and Large Neural Network Training. - Feifei Shao, Yawei Luo, Li Zhang, Lu Ye, Siliang Tang, Yi Yang, Jun Xiao:
Improving Weakly-supervised Object Localization via Causal Intervention. - Lai Wei, Ryan McCloy, Jie Bao:
Control Contraction Metric Synthesis for Discrete-time Nonlinear Systems. - Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng:
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. - Jihyung Kil, Wei-Lun Chao:
Revisiting Document Representations for Large-Scale Zero-Shot Learning. - Qian Chen, Wen Wang, Qinglin Zhang:
Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning. - Gabin An, Juyeon Yoon, Joyce Jiyoung Whang, Shin Yoo:
Improving Test Distance for Failure Clustering with Hypergraph Modelling. - Xiaoyi Ruan, Meizhi Jin, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Mengyuan Zhou:
Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables. - Min Dai, Xiaobin Xiong, Aaron D. Ames:
Bipedal Walking on Constrained Footholds: Momentum Regulation via Vertical COM Control. - Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu:
Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting. - Shu-Yi Xie, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Jianping Shen:
PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation. - Yifan Xu
, Kekai Sheng, Weiming Dong, Baoyuan Wu, Changsheng Xu, Bao-Gang Hu:
Towards Corruption-Agnostic Robust Domain Adaptation. - Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Dual Head Adversarial Training. - Guoliang Li, Shuai Wang, Jie Li, Rui Wang, Xiaohui Peng, Tony Xiao Han:
Wireless Sensing With Deep Spectrogram Network and Primitive Based Autoregressive Hybrid Channel Model. - Owen Arden, Anitha Gollamudi, Ethan Cecchetti, Stephen Chong, Andrew C. Myers:
A Calculus for Flow-Limited Authorization. - Rong Ye, Mingxuan Wang, Lei Li:
End-to-end Speech Translation via Cross-modal Progressive Training. - Fei Li, Huiping Li, Yuyao He:
Stochastic Model Predictive Control for Linear Systems with Unbounded Additive Uncertainties. - Yuk Heo, Yeong Jun Koh, Chang-Su Kim:
Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps. - Joel Öhrling, Dragos Truscan, Sébastien Lafond:
Enabling Fast Exploration and Validation of Thermal Dissipation Requirements for Heterogeneous SoCs. - Gioele Zardini, Nicolas Lanzetti, Laura Guerrini, Emilio Frazzoli, Florian Dörfler:
Game Theory to Study Interactions between Mobility Stakeholders. - Honglin Yuan, Jiangzhou Wang, Chen Xu, Juping Gu, Qiang Sun, Yan Yan, Zhihua Bao:
Stable Nonlinear and IQ Imbalance RF Fingerprint for Wireless OFDM Devices. - Gian Maria Campedelli, Mihovil Bartulovic, Kathleen M. Carley:
Learning future terrorist targets through temporal meta-graphs. - Chenxin Xu, Rong Xia, Yong Xiao, Yingyu Li, Guangming Shi, Kwang-Cheng Chen:
Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks. - Sangrok Lee, Taekang Woo, Sang Hun Lee:
Multi-Attention-Based Soft Partition Network for Vehicle Re-Identification. - Giulio Ermanno Pibiri, Roberto Trani:
PTHash: Revisiting FCH Minimal Perfect Hashing. - Omid Esrafilian, Harald Bayerlein, David Gesbert:
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks. - Ribhu Chopra, Chandra R. Murthy, Anastasios K. Papazafeiropoulos:
Uplink Performance Analysis of Cell-Free mMIMO Systems under Channel Aging. - Shiyang Yan, Li Yu, Yuan Xie:
Discrete-continuous Action Space Policy Gradient-based Attention for Image-Text Matching. - Sateeshkrishna Dhuli, Fouzul Atik:
Analysis of Distributed Average Consensus Algorithms for Robust IoT networks. - Roman Grundkiewicz, Marcin Junczys-Dowmunt, Christian Federmann, Tom Kocmi:
On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs. - Eike Cramer
, Alexander Mitsos, Raúl Tempone, Manuel Dahmen:
Principal Component Density Estimation for Scenario Generation Using Normalizing Flows. - Kanishk Jain, Vineet Gandhi:
Comprehensive Multi-Modal Interactions for Referring Image Segmentation. - Zhong-Qiu Zhao, Yao Gao, Yuchen Ge, Weidong Tian:
Orderly Dual-Teacher Knowledge Distillation for Lightweight Human Pose Estimation. - Yuqiong Qi, Yang Hu, Haibin Wu, Shen Li, Haiyu Mao, Xiaochun Ye, Dongrui Fan, Ninghui Sun:
Tackling Variabilities in Autonomous Driving. - Christodoulos Skouroumounis, Constantinos Psomas, Ioannis Krikidis:
FD-JCAS Techniques for mmWave HetNets: Ginibre Point Process Modeling and Analysis. - Xin Huang, Xinxin Wang, Wenyu Lv, Xiaying Bai, Xiang Long, Kaipeng Deng, Qingqing Dang, Shumin Han, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma, Osamu Yoshie:
PP-YOLOv2: A Practical Object Detector. - Zeyu Chen, Xinhang Zhang, Juan Li, Jingxuan Ni, Gang Chen, Shaohua Wang, Fangfang Fan, Changfeng Charles Wang, Xiaotao Li:
Machine vision detection to daily facial fatigue with a nonlocal 3D attention network. - Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation. - Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves:
Sparse-Shot Learning for Extremely Many Localisations. - Jonatha Anselmi, Neil Walton:
Stability and Optimization of Speculative Queueing Networks. - Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana:
Portfolio Search and Optimization for General Strategy Game-Playing. - Jaejun Lee, Donmoon Lee, Hyeong-Seok Choi, Kyogu Lee:
Room adaptive conditioning method for sound event classification in reverberant environments. - Sergey I. Kruzhilov:
Unification of computer reality. - Tim Isbister, Fredrik Carlsson, Magnus Sahlgren:
Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead? - Yiqin Zhu, Jianyong Chen, Lingyu Liang, Zhanghui Kuang, Lianwen Jin, Wayne Zhang
:
Fourier Contour Embedding for Arbitrary-Shaped Text Detection. - Jan Dreier:
Lacon- and Shrub-Decompositions: A New Characterization of First-Order Transductions of Bounded Expansion Classes. - Heejung Park, Gyeong Min Lee, Soopil Kim, Ga Hyung Ryu, Areum Jeong, Sang Hyun Park, Min Sagong:
A Meta-Learning Approach for Medical Image Registration. - Erik Bodin, Federico Tomasi, Zhenwen Dai:
Making Differentiable Architecture Search less local. - Kimberly T. Mai, Toby Davies
, Lewis D. Griffin:
Brittle Features May Help Anomaly Detection. - Petr Marek, Stepán Müller, Jakub Konrád, Petr Lorenc, Jan Pichl, Jan Sedivý:
Text Summarization of Czech News Articles Using Named Entities. - Alvaro Cabrejas Egea, Raymond Zhang, Neil Walton:
Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems. - Kenneth T. Co, David Martínez-Rego, Emil C. Lupu:
Jacobian Regularization for Mitigating Universal Adversarial Perturbations. - Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. - Raveendra Kumar Medicherla, Malathy Nagalakshmi, Tanya Sharma, Raghavan Komondoor:
HDR-Fuzz: Detecting Buffer Overruns using AddressSanitizer Instrumentation and Fuzzing. - Haiyang Mei, Ge-Peng Ji, Ziqi Wei, Xin Yang, Xiaopeng Wei, Deng-Ping Fan:
Camouflaged Object Segmentation with Distraction Mining. - Ye Wang, Yu Chen, Shenyi Wang, Chenhang Zhou, Xiaochen Zheng, Roger Wattenhofer:
Print Your Own Money: A Cash-Like Experience for Digital Payment Systems. - Siladittya Manna
, Saumik Bhattacharya, Umapada Pal:
SSLM: Self-Supervised Learning for Medical Diagnosis from MR Video. - Alexandre Duval, Fragkiskos D. Malliaros:
GraphSVX: Shapley Value Explanations for Graph Neural Networks. - Eric Benhamou, David Saltiel, Serge Tabachnik, Sui Kai Wong, François Chareyron:
Adaptive learning for financial markets mixing model-based and model-free RL for volatility targeting. - Dillon J. Lohr, Henry K. Griffith, Oleg V. Komogortsev:
Eye Know You: Metric Learning for End-to-end Biometric Authentication Using Eye Movements from a Longitudinal Dataset. - Anthony Hu, Zak Murez, Nikhil Mohan, Sofía Dudas, Jeff Hawke, Vijay Badrinarayanan, Roberto Cipolla, Alex Kendall:
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras. - Yunyan Hong, Ailing Zeng, Min Li, Cewu Lu, Li Jiang, Qiang Xu:
Skimming and Scanning for Untrimmed Video Action Recognition. - Shogo Ujiie, Hayate Iso, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki:
End-to-end Biomedical Entity Linking with Span-based Dictionary Matching. - Aravinda Ramakrishnan Srinivasan, Mohamed Hasan, Yi-Shin Lin, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula:
Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model. - Jiehan Zhou, Shouhua Zhang, Qinghua Lu, Wenbin Dai, Min Chen, Xin Liu, Susanna Pirttikangas, Yang Shi, Weishan Zhang, Enrique Herrera-Viedma:
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things. - Shikun Chen:
Interpretation of multi-label classification models using shapley values. - Yingbo Gao, David Thulke, Alexander Gerstenberger, Khoa Viet Tran, Ralf Schlüter, Hermann Ney:
On Sampling-Based Training Criteria for Neural Language Modeling. - Timy Phan:
Searching with Opponent-Awareness. - Shaoyu Zhang, Chen Chen, Xiyuan Hu, Silong Peng:
Balanced Knowledge Distillation for Long-tailed Learning. - Qiuchen Zhu, Tran Hiep Dinh, Manh Duong Phung, Quang Phuc Ha:
Hierarchical Convolutional Neural Network with Feature Preservation and Autotuned Thresholding for Crack Detection. - Soroosh Tayebi Arasteh
, Mehrpad Monajem, Vincent Christlein, Philipp Heinrich, Anguelos Nicolaou, Hamidreza Naderi Boldaji, Mahshad Lotfinia, Stefan Evert:
How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies. - Max Hermann, Boitumelo Ruf, Martin Weinmann:
Real-time dense 3D Reconstruction from monocular video data captured by low-cost UAVs. - Giorgos Tziafas, Konstantinos Kogkalidis, Gijs Wijnholds, Michael Moortgat:
Improving BERT Pretraining with Syntactic Supervision. - Akthem Rehab, Islam Ali, Walid Gomaa, M. Nashat Fors:
Bearings Fault Detection Using Hidden Markov Models and Principal Component Analysis Enhanced Features. - Jan Ladleif, Mathias Weske:
Which Event Happened First? Deferred Choice on Blockchain Using Oracles. - Mike Huisman, Aske Plaat, Jan N. van Rijn:
Stateless Neural Meta-Learning using Second-Order Gradients. - János Flesch, Arkadi Predtetchinski, Ville Suomala:
Random perfect information games. - Li Yang, Abdallah Shami:
A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams. - Xingqin Lin, Stefan Cioni, Gilles Charbit, Nicolas Chuberre, Sven Hellsten, Jean-Francois Boutillon:
On the Path to 6G: Low Orbit is the New High. - Pablo Araneda, Matias Greco, Jorge A. Baier:
Exploiting Learned Policies in Focal Search. - Guus Leenders, Gilles Callebaut, Geoffrey Ottoy, Liesbet Van der Perre, Lieven De Strycker:
Multi-RAT for IoT: The Potential in Combining LoRaWAN and NB-IoT. - Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Noman Afzal, Muhammad Zeshan Afzal:
Guided Table Structure Recognition through Anchor Optimization. - Jan Friso Groote, Jeroen J. A. Keiren:
Tutorial: Designing Distributed Software in mCRL2. - James Townsend:
Lossless Compression with Latent Variable Models. - Frank Nielsen:
A note on some information-theoretic divergences between Zeta distributions. - Felix Beierle, Uttam Dhakal, Caroline Cohrdes, Sophie Eicher, Rüdiger Pryss:
Public Perception of the German COVID-19 Contact-Tracing App Corona-Warn-App. - John Clemens:
MLDS: A Dataset for Weight-Space Analysis of Neural Networks. - Tingtian Li, Zixun Sun, Haoruo Zhang, Jin Li, Ziming Wu, Hui Zhan, Yipeng Yu, Hengcan Shi:
Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs. - Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine:
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. - Gabriele Costa, Fabio Pinelli, Simone Soderi, Gabriele Tolomei:
Covert Channel Attack to Federated Learning Systems. - Samim Ahmadi, Linh Kästner, Jan Christian Hauffen, Peter Jung, Mathias Ziegler:
Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging. - Yueming Lyu, Jing Dong, Bo Peng, Wei Wang, Tieniu Tan:
SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer. - Houyi Li, Yongchao Liu, Yongyong Li, Bin Huang, Peng Zhang, Guowei Zhang, Xintan Zeng, Kefeng Deng, Wenguang Chen, Changhua He:
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy. - Benoît Larose, Petar Markovic, Barnaby Martin, Daniël Paulusma
, Siani Smith, Stanislav Zivný:
QCSP on Reflexive Tournaments. - Ron Alford, Andy Applebaum:
Towards Causal Models for Adversary Distractions. - Radoslaw Kotaba, Anders E. Kalør, Petar Popovski, Israel Leyva-Mayorga, Beatriz Soret, Maxime Guillaud, Luis Garcia Ordóñez:
How to Identify and Authenticate Users in Massive Unsourced Random Access. - Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He:
Deep Learning for Click-Through Rate Estimation. - Hao Cheng, Kaidi Xu, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn:
Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations. - Assyr Abdulle, Grigorios A. Pavliotis, Andrea Zanoni:
Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale diffusions. - Jian Jiang, Edoardo Cetin, Oya Çeliktutan:
IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay. - Mohammadreza Kasaei, Miguel Abreu, Nuno Lau, Artur Pereira, Luís Paulo Reis:
Robust Biped Locomotion Using Deep Reinforcement Learning on Top of an Analytical Control Approach. - Christoph Brause, Petr A. Golovach, Barnaby Martin, Daniël Paulusma
, Siani Smith:
Acyclic, Star, and Injective Colouring: Bounding the Diameter. - Yunzhong Hou, Liang Zheng:
Visualizing Adapted Knowledge in Domain Transfer. - Gianluca Scarpellini, Pietro Morerio, Alessio Del Bue:
Lifting Monocular Events to 3D Human Poses. - Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents. - Markus Roland Ernst, Jochen Triesch, Thomas Burwick:
Recurrent Feedback Improves Recognition of Partially Occluded Objects. - Ting-Wei Lin, Chia-Hsuan Lu, Tony Tan:
Towards a more efficient approach for the satisfiability of two-variable logic. - Chenlei Lv
, Weisi Lin, Baoquan Zhao:
Voxel Structure-based Mesh Reconstruction from a 3D Point Cloud. - Shimin Di, Quanming Yao, Lei Chen:
Searching to Sparsify Tensor Decomposition for N-ary Relational Data. - Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind:
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics. - Christel Baier, Florian Funke, Simon Jantsch, Engel Lefaucheux, Florian Luca, Joël Ouaknine, David Purser, Markus A. Whiteland, James Worrell:
The Orbit Problem for Parametric Linear Dynamical Systems. - Francesco Pierri, Brea L. Perry, Matthew R. DeVerna, Kai-Cheng Yang, Alessandro Flammini, Filippo Menczer, John Bryden:
The impact of online misinformation on U.S. COVID-19 vaccinations. - Christopher Bradley, Adam Pacheck, Gregory J. Stein, Sebastian Castro, Hadas Kress-Gazit, Nicholas Roy:
Learning and Planning for Temporally Extended Tasks in Unknown Environments. - Zhan Yu, Daniel W. C. Ho, Ding-Xuan Zhou:
Robust Kernel-based Distribution Regression. - Kathinka Frieswijk, Alain Govaert, Ming Cao:
Exerting Control in Repeated Social Dilemmas with Thresholds. - Sushant Singh, Ausif Mahmood:
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures. - Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng:
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. - Zhengyong Chen, Hongde Wu, Noel E. O'Connor, Mingming Liu:
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes. - Lennart Heim
, Andreas Biri
, Zhongnan Qu, Lothar Thiele:
Measuring what Really Matters: Optimizing Neural Networks for TinyML. - Ruiqing Yan, Lanchang Sun, Fang Wang, Xiaoming Zhang:
K-XLNet: A General Method for Combining Explicit Knowledge with Language Model Pretraining. - Fabio Cuzzolin:
A geometric approach to conditioning belief functions. - Biplob Biswas, Thai-Hoang Pham, Ping Zhang:
TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding. - Dewayne Whitfield:
Using GPT-2 to Create Synthetic Data to Improve the Prediction Performance of NLP Machine Learning Classification Models. - Yousef Alizadeh-Q, Behrouz Minaei-Bidgoli, Sayyed-Ali Hossayni, Mohammad-R. Akbarzadeh-T., Diego Reforgiato Recupero, Mohammad Reza Rajati, Aldo Gangemi:
Interval Probabilistic Fuzzy WordNet. - Houjun Liu
:
Towards Automated Psychotherapy via Language Modeling. - Rohitash Chandra, Aswin Krishna:
COVID-19 sentiment analysis via deep learning during the rise of novel cases. - Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang:
User-oriented Fairness in Recommendation. - Muhammad Zubair Irshad, Chih-Yao Ma, Zsolt Kira:
Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation. - Bingyang Wen, Luis Oliveros Colón, K. P. Subbalakshmi, Rajarathnam Chandramouli:
Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks. - Arnd Koeppe, Franz Bamer, Michael Selzer, Britta Nestler, Bernd Markert:
Explainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models. - Sara Zahedian, Amir Nohekhan, Kaveh Farokhi Sadabadi:
Dynamic Toll Prediction Using Historical Data on Toll Roads: Case Study of the I-66 Inner Beltway. - Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu:
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. - Utkarsh Sarawgi, Rishab Khincha, Wazeer Zulfikar, Satrajit Ghosh, Pattie Maes:
Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings. - Chien-Yu Lin, Liang Luo, Luis Ceze:
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks. - Biswadeep Chakraborty, Xueyuan She, Saibal Mukhopadhyay:
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection. - Franziska Weber:
A convergent numerical scheme for a model of liquid crystal dynamics subjected to an electric field. - Jidong Ge, Yunyun Huang, Xiaoyu Shen, Chuanyi Li, Wei Hu, Bin Luo:
Learning Fine-grained Fact-Article Correspondence in Legal Cases. - Benny Avelin, Anders Karlsson:
Deep limits and cut-off phenomena for neural networks. - Chongyi Li, Chunle Guo, Linghao Han, Jun Jiang, Ming-Ming Cheng, Jinwei Gu, Chen Change Loy:
Lighting the Darkness in the Deep Learning Era. - Charles Champagne Cossette, Mohammed Shalaby, David Saussié, James Richard Forbes, Jérôme Le Ny:
Relative Position Estimation Between Two UWB Devices with IMUs. - Sylvain Calinon:
Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series. - Steffen Raach, Bart M. Doekemeijer, Sjoerd Boersma, Jan-Willem van Wingerden, Po-Wen Cheng:
Feedforward-Feedback wake redirection for wind farm control. - Alan G. Sanchez, William D. Smart:
Surface Disinfection using Ultraviolet Lightwith a Mobile Manipulation Robot. - Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Robust Testing and Estimation under Manipulation Attacks. - Florian Kadner, Yannik Keller
, Constantin A. Rothkopf:
AdaptiFont: Increasing Individuals' Reading Speed with a Generative Font Model and Bayesian Optimization. - Vance Wong, John Emanuello:
Robustness of ML-Enhanced IDS to Stealthy Adversaries. - Sarath Sreedharan, Anagha Kulkarni, David E. Smith, Subbarao Kambhampati:
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI. - Amirhossein Ahmadian, Atharva Sunil Deo, Paawan Garg, Omar Elayyan:
Electrification of Commercial E-buses by Utilizing Stationary Battery Energy Storage Systems for Mass Transportation Network in Los Angeles. - Arthur Hinsvark, Natalie Delworth, Miguel Del Rio, Quinten McNamara, Joshua Dong, Ryan Westerman, Michelle Huang, Joseph Palakapilly, Jennifer Drexler, Ilya Pirkin, Nishchal Bhandari, Miguel Jette:
Accented Speech Recognition: A Survey. - Laura Oliveira Moraes, Carlos Eduardo Pedreira:
Clustering Introductory Computer Science Exercises Using Topic Modeling Methods. - Pietro Borrello, Daniele Cono D'Elia, Leonardo Querzoni, Cristiano Giuffrida:
Constantine: Automatic Side-Channel Resistance Using Efficient Control and Data Flow Linearization. - M. Hakan Akyüz
, S. Ilker Birbil:
Discovering Classification Rules for Interpretable Learning with Linear Programming. - Nicolas Dirks, Dennis Wagner, Maximilian Schiffer, Grit Walther:
A Concise Guide on the Integration of Battery Electric Buses into Urban Bus Networks. - Keishi Ishihara, Anssi Kanervisto, Jun Miura, Ville Hautamäki:
Multi-task Learning with Attention for End-to-end Autonomous Driving. - Elkin Ramírez, Bartosz Protas:
Singularity Formation in the Deterministic and Stochastic Fractional Burgers Equation. - Youri Raaijmakers
, Silvio Mandelli, Mark Doll:
Reinforcement learning for Admission Control in 5G Wireless Networks. - Markus Winklberger, Christoph Kralovec, Martin Schagerl:
Development of aircraft spoiler demonstrators to test strain-based SHM under realistic loading. - Ion Victor Gosea, Mihály Petreczky, Athanasios C. Antoulas:
Reduced-order modeling of LPV systems in the Loewner framework. - Johann C. Rocholl, Vicky Zayats, Daniel D. Walker, Noah B. Murad, Aaron Schneider, Daniel J. Liebling:
Disfluency Detection with Unlabeled Data and Small BERT Models. - Ankit Laddha, Shivam Gautam, Stefan Palombo, Shreyash Pandey, Carlos Vallespi-Gonzalez:
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data. - Sara I. Garcia:
Meta-learning for skin cancer detection using Deep Learning Techniques. - Joseph De Vilmarest, Olivier Wintenberger:
Recursive Estimation of State-Space Noise Covariance Matrix by Approximate Variational Bayes. - Sambit Mohapatra, Senthil Kumar Yogamani, Heinrich Gotzig, Stefan Milz, Patrick Mäder:
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving. - Sugirtha T, Sridevi M, Khailash Santhakumar, B. Ravi Kiran, Thomas Gauthier, Senthil Kumar Yogamani:
Exploring 2D Data Augmentation for 3D Monocular Object Detection. - Amit P. Sheth, Valerie L. Shalin, Ugur Kursuncu:
Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key. - Michael Cook:
The Road Less Travelled: Trying And Failing To Generate Walking Simulators. - Darshini Mahendran, Bridget T. McInnes:
Extracting Adverse Drug Events from Clinical Notes. - Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang:
Efficient Non-Sampling Knowledge Graph Embedding. - Shahram Shahsavari, Mehrdad Nosrati, Parisa Hassanzadeh, Alexei Ashikhmin, Thomas L. Marzetta, Elza Erkip:
Multi-point Coordination in Massive MIMO Systems with Sectorized Antennas. - Shayan Fazeli, Davina Zamanzadeh, Anaelia Ovalle
, Thu Nguyen, Gilbert Gee, Majid Sarrafzadeh:
COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations. - William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith:
Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? - Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang:
A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP. - Lili Miao, Dakota S. Murray, Woo-Sung Jung, Vincent Larivière, Cassidy R. Sugimoto, Yong-Yeol Ahn:
The latent structure of national scientific development. - Kanishka Misra, Julia Taylor Rayz:
Finding Fuzziness in Neural Network Models of Language Processing. - Paulo A. F. Rezeck, Renato M. Assunção, Luiz Chaimowicz:
Flocking-Segregative Swarming Behaviors using Gibbs Random Fields. - Aaron M. Roth, Jing Liang, Dinesh Manocha:
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees. - Kun Li, Liang Yuan, Yunquan Zhang, Gongwei Chen:
An Accurate and Efficient Large-scale Regression Method through Best Friend Clustering. - Kaidong Li, Mohammad I. Fathan, Krushi Patel, Tianxiao Zhang, Cuncong Zhong, Ajay Bansal, Amit Rastogi, Jean S. Wang, Guanghui Wang:
Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations. - Guoxiang Zhang, YangQuan Chen:
Self-optimizing loop sifting and majorization for 3D reconstruction. - Geetanjali Bihani, Julia Taylor Rayz:
Fuzzy Classification of Multi-intent Utterances. - Tixiao Shan, Brendan J. Englot, Carlo Ratti, Daniela Rus:
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping. - Geetanjali Bihani, Julia Taylor Rayz:
Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations. - Xinyi Wu, Zhenyao Wu, Hao Guo, Lili Ju, Song Wang:
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation. - Matthew Thorpe, Bao Wang:
Robust Certification for Laplace Learning on Geometric Graphs. - Meng Huang, Zhiqiang Xu:
Uniqueness and stability for the solution of a nonlinear least squares problem. - Yuxuan Chen, Li Zhang, Shijian Li, Gang Pan:
Optimize Neural Fictitious Self-Play in Regret Minimization Thinking. - Mehrnaz Fani, Pascale Berunelle Walters, David A. Clausi, John S. Zelek, Alexander Wong:
Localization of Ice-Rink for Broadcast Hockey Videos. - Xiuqiang He, Hua Geng:
Transient Stability of Power Systems Dominated by Different Types of Grid-Forming Devices. - Su V. Huynh, Nam H. Nguyen, Ngoc T. Nguyen, Vinh TQ. Nguyen, Chau Huynh, Chuong Nguyen
:
A Strong Baseline for Vehicle Re-Identification. - Alexander Hadjiivanov:
Continuous Learning and Adaptation with Membrane Potential and Activation Threshold Homeostasis. - Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin:
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. - Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang:
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification. - Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Xiaojie Jin, Anran Wang, Jiashi Feng:
Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet. - Ang Xuan, Xinwei Shen, Qinglai Guo, Hongbin Sun:
A Conditional Value-at-Risk Based Planning Model for Integrated Energy System with Energy Storage and Renewables. - Karandeep Singh, Gabriel Lima, Meeyoung Cha, Chiyoung Cha, Juhi Kulshrestha, Yong-Yeol Ahn, Onur Varol:
Misinformation, Believability, and Vaccine Acceptance Over 40 Countries: Takeaways From the Initial Phase of The COVID-19 Infodemic. - Jinhan Kim, Juyoung Jeon, Shin Hong, Shin Yoo:
Predictive Mutation Analysis via Natural Language Channel in Source Code. - Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li:
Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting. - Vishwaraj Doshi, Shailaja Mallick, Do Young Eun:
Competing Epidemics on Graphs - Global Convergence and Coexistence. - Hengjie Wang, Robert Planas, Aparna Chandramowlishwaran, Ramin Bostanabad:
Train Once and Use Forever: Solving Boundary Value Problems in Unseen Domains with Pre-trained Deep Learning Models. - Savvas Karatsiolis, Andreas Kamilaris
:
Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning. - Xin Zheng, Jianke Zhu:
Efficient LiDAR Odometry for Autonomous Driving. - Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen:
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. - Tinku Ganai, Bibhas Adhikari:
Eigenvalue embedding problem for quadratic regular matrix polynomials with symmetry structures. - Takuma Kogo, Kei Takaya, Hiroyuki Oyama:
Fast MILP-based Task and Motion Planning for Pick-and-Place with Hard/Soft Constraints of Collision-Free Route. - Sreetama Das, Anirban Nag, Dhruba Adhikary, Ramswaroop Jeevan Ram, Aravind BR, Sujit Kumar Ojha, Guruprasad M. Hegde:
Computer Vision-based Social Distancing Surveillance Solution with Optional Automated Camera Calibration for Large Scale Deployment. - Xingqiu He, Yuhang Shen, Xiong Wang, Sheng Wang, Shizhong Xu, Jing Ren:
An Online Scheduling Algorithm for Energy Minimization in Wireless Powered Mobile Edge Computing Networks. - Fabian Parzer, Otmar Scherzer:
On convergence rates of adaptive ensemble Kalman inversion for linear ill-posed problems. - Chloé Paliard, Eduardo Alvarado
, Damien Rohmer
, Marie-Paule Cani:
Soft Walks: Real-Time, Two-Ways Interaction between a Character and Loose Grounds. - Heike Adel, Jannik Strötgen:
Enriched Attention for Robust Relation Extraction. - Bolivar Solarte, Chin-Hsuan Wu, Kuan-Wei Lu, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai:
Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images. - Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Self-Supervised Learning from Semantically Imprecise Data. - Rajesh Kumar, Wenyong Wang, Cheng Yuan, Jay Kumar, Zakria, He Qing, Ting Yang, Abdullah Aman Khan:
Privacy-Preserved Blockchain-Federated-Learning for Medical Image Analysis Towards Multiple Parties. - Kumar Saurav, Rahul Vaze:
Minimizing the Sum of Age of Information and Transmission Cost under Stochastic Arrival Model. - Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen:
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. - Ana Silva, Eitan Ben Av, Efi Efrati:
Explicit, time-reversible and symplectic integrator for Hamiltonians in isotropic uniformly curved geometries. - Zubair Martin, Amir Patel, Sharief Hendricks:
Automated Tackle Injury Risk Assessment in Contact-Based Sports - A Rugby Union Example. - Chengwei Zhang, Shan Jin, Wanli Xue, Xiaofei Xie, Shengyong Chen, Rong Chen:
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem. - Zander S. Venter, Markus A. K. Sydenham:
Continental-scale land cover mapping at 10 m resolution over Europe (ELC10). - Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie:
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks. - Bogdan Musat, Razvan Andonie:
Semiotic Aggregation in Deep Learning. - Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li:
So-ViT: Mind Visual Tokens for Vision Transformer. - George Christodoulou, Panagiotis Bouros, Nikos Mamoulis:
HINT: A Hierarchical Index for Intervals in Main Memory. - Dan Alexandrescu, Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux:
Enabling Cross-Layer Reliability and Functional Safety Assessment Through ML-Based Compact Models. - Daniel Hirschkoff, Enguerrand Prebet, Davide Sangiorgi:
On sequentiality and well-bracketing in the π-calculus. - Roberto Bevilacqua, Gianna M. Del Corso, Luca Gemignani:
Orthogonal iterations on Structured Pencils. - Sijun Tan, Brian Knott, Yuan Tian, David J. Wu:
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU. - B. C. van Huijgevoort, Siep Weiland, Hans J. Zwart:
Structure Preserving Discretization of 1D Nonlinear Port-Hamiltonian Distributed Parameter Systems. - Aoi Takahashi, Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki:
An Extensive Study on Smell-Aware Bug Localization. - Hidekazu Yoshioka:
Towards Control of Dam and Reservoir Systems with Forward-Backward Stochastic Differential Equations Driven by Clustered Jumps. - Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata:
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. - Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin:
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection. - Jürgen Maier, Daniel Öhlinger
, Ulrich Schmid, Matthias Függer, Thomas Nowak:
A Composable Glitch-Aware Delay Model. - Letícia Seixas Pereira
, José Coelho, André Rodrigues, João Guerreiro, Tiago João Guerreiro, Carlos Duarte:
Barriers and Opportunities to Accessible Social Media Content Authoring. - Antal Jakovác:
Time series analysis with dynamic law exploration. - Tal Ridnik, Emanuel Ben Baruch, Asaf Noy, Lihi Zelnik-Manor:
ImageNet-21K Pretraining for the Masses. - Anne-Kathrin Schmuck, Mehrdad Zareian:
Abstraction-Based Output-Feedback Control with State-Based Specifications. - Saba Asaad, Yifei Wu, Ali Bereyhi, Ralf R. Müller, Rafael F. Schaefer, H. Vincent Poor:
Designing IRS-Aided MIMO Systems for Secrecy Enhancement. - Cédric Marco-Detchart, Giancarlo Lucca, Carlos Lopez-Molina, Laura De Miguel, Graçaliz Pereira Dimuro, Humberto Bustince:
Neuro-inspired edge feature fusion using Choquet integrals. - Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani:
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving. - Stephan Weigand, Pascal Klink, Jan Peters, Joni Pajarinen:
Reinforcement Learning using Guided Observability. - Samuel T. Wauthier
, Pietro Mazzaglia
, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt:
A learning gap between neuroscience and reinforcement learning. - Lukun Zheng, Yuhang Jiang:
Combining dissimilarity measure for the study of evolution in scientific fields. - Sébastien Gros, Mario Zanon:
A Dissipativity Theory for Undiscounted Markov Decision Processes. - Yehia Abd Alrahman, Nir Piterman:
Modelling and Verification of Reconfigurable Multi-Agent Systems. - Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec:
Personalizing Performance Regression Models to Black-Box Optimization Problems. - Jian Pang, Dacheng Zhang, Huafeng Li, Weifeng Liu, Zhengtao Yu:
Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition. - Saeyoon Oh, Seongmin Lee, Shin Yoo:
Effectively Sampling Higher Order Mutants Using Causal Effect. - R. Dinesh Jackson Samuel
, Fabio Cuzzolin:
Unsupervised anomaly detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS)using a deep residual autoencoder. - Min-Fong Hong, Hao-Yun Chen, Min-Hung Chen
, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Hung-Jen Chen, Kevin Jou:
Network Space Search for Pareto-Efficient Spaces. - Alejandro Barrera, Jorge Beltrán, Carlos Guindel, José Antonio Iglesias, Fernando García:
Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View. - Yang An, Liang Zhang, Mao You, Xueqing Tian, Bo Jin, Xiaopeng Wei:
MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation. - Max Coenen, Tobias Schack, Dries Beyer, Christian Heipke, Michael Haist:
Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance. - Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin, Lea Frermann:
Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames. - Moeen Mostafavi, Michael D. Porter:
How emoji and word embedding helps to unveil emotional transitions during online messaging. - Antonios Liapis:
10 Years of the PCG workshop: Past and Future Trends. - Ivan Cvitic, Dragan Perakovic, Marko Perisa, Anca D. Jurcut:
Methodology for Detecting Cyber Intrusions in e-Learning Systems during COVID-19 Pandemic. - Markus Thaler, Stephan Schlögl, Aleksander Groth:
Agent vs. Avatar: Comparing Embodied Conversational Agents Concerning Characteristics of the Uncanny Valley. - James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard S. Zemel, Roger B. Grosse:
Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes. - Herbert Edelsbrunner, Teresa Heiss, Vitaliy Kurlin, Philip Smith, Mathijs Wintraecken:
The Density Fingerprint of a Periodic Point Set. - Mário Pereira, António Ravara:
Cameleer: a Deductive Verification Tool for OCaml. - Dimitrios Stoidis, Andrea Cavallaro:
Protecting gender and identity with disentangled speech representations. - Xisuo Ma, Zhen Gao, Feifei Gao, Marco Di Renzo:
Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems. - Simon Tarboush, Hadi Sarieddeen, Hui Chen
, Mohamed Habib Loukil, Hakim Jemaa
, Mohamed-Slim Alouini
, Tareq Y. Al-Naffouri
:
TeraMIMO: A Channel Simulator for Wideband Ultra-Massive MIMO Terahertz Communications. - Weizhe Liu, David Ferstl, Samuel Schulter, Lukas Zebedin, Pascal Fua, Christian Leistner:
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning. - Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge:
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition. - Zongyuan Shen, James P. Wilson, Ryan Harvey, Shalabh Gupta:
MRRT: Multiple Rapidly-Exploring Random Trees for Fast Online Replanning in Dynamic Environments. - Ulrike Barthelmeß, Ulrich Furbach:
Künstliche Intelligenz, quo vadis? - Ivan Porres, Hergys Rexha, Sébastien Lafond:
Online GANs for Automatic Performance Testing. - Ashish Shenoy, Sravan Bodapati, Monica Sunkara, Srikanth Ronanki, Katrin Kirchhoff:
"What's The Context?" : Long Context NLM Adaptation for ASR Rescoring in Conversational Agents. - Przemyslaw A. Grudniewski, Adam J. Sobey:
cMLSGA: A Co-Evolutionary Multi-Level Selection Genetic Algorithm for Multi-Objective Optimization. - Adnan Aijaz, Ben Holden, Fanyu Meng:
Open and Programmable 5G Network-in-a-Box: Technology Demonstration and Evaluation Results. - Maura B. Paterson, Douglas R. Stinson:
Splitting authentication codes with perfect secrecy: new results, constructions and connections with algebraic manipulation detection codes. - Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony M. DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary L. Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna L. Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart:
Randomized Algorithms for Scientific Computing (RASC). - Dixon Vimalajeewa, Sasitharan Balasubramaniam:
Digestive System Dynamics in Molecular Communication Perspectives. - Roman Sokolovskii, Alexandre Graell i Amat, Fredrik Brännström:
On Doped SC-LDPC Codes for Streaming. - Shuhao Zeng, Hongliang Zhang, Boya Di, Lingyang Song:
Trajectory Optimization and Resource Allocation for OFDMA UAV Relay Networks. - Jayesh Malaviya:
Survey on Modeling Intensity Function of Hawkes Process Using Neural Models. - Dirk Mayer:
Orthonormal Filters for Identification in Active Control Systems. - Arman Maesumi, Mingkang Zhu, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj
:
Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors. - Jing Wu, Mingyi Zhou, Ce Zhu, Yipeng Liu, Mehrtash Harandi, Li Li:
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions. - Milosz Stypinski, Marcin Niemiec:
Synchronization of Tree Parity Machines using non-binary input vectors. - Adrian Remonda, Sarah Krebs, Eduardo E. Veas, Granit Luzhnica, Roman Kern:
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data. - Bahavathy Kathirgamanathan, Padraig Cunningham
:
A Feature Selection Method for Multi-Dimension Time-Series Data. - Nima Noii, Amirreza Khodadadian, Jacinto Ulloa, Fadi Aldakheel, Thomas Wick, Stijn François, Peter Wriggers:
Bayesian inversion for unified ductile phase-field fracture. - Hang Zhou
, Yasheng Sun, Wayne Wu, Chen Change Loy, Xiaogang Wang, Ziwei Liu:
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation. - Julian D. Cortes
:
The Anaconda and the Dragon: institutional collaboration between Latin America and China. - Jason Rumengan, Terry Yue Zhuo, Conrad Sanderson:
PyArmadillo: a streamlined linear algebra library for Python. - Tiancheng Li, Hongqi Fan:
A Computationally Efficient Approach to Non-cooperative Target Detection and Tracking with Almost No A-priori Information. - Manuel Bodirsky, Jakub Rydval, André Schrottenloher:
Universal Horn Sentences and the Joint Embedding Property. - Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan:
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training. - Janne Pylkkönen, Antti Ukkonen, Juho Kilpikoski, Samu Tamminen, Hannes Heikinheimo:
Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network. - Anibal Fuentes, José M. Saavedra:
Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Image Retrieval. - Mehdi Harounabadi, Dariush Mohammad Soleymani, Shubhangi Bhadauria, Martin Leyh, Elke Roth-Mandutz:
V2X in 3GPP Standardization: NR Sidelink in Rel-16 and Beyond. - Periwinkle Doerfler, Andrea Forte, Emiliano De Cristofaro, Gianluca Stringhini, Jeremy Blackburn, Damon McCoy:
"I'm a Professor, which isn't usually a dangerous job": Internet-Facilitated Harassment and its Impact on Researchers. - Kun Yang, Samory Kpotufe, Nick Feamster:
An Efficient One-Class SVM for Anomaly Detection in the Internet of Things. - Felix Schoeller, Mark Miller, Roy Salomon, Karl J. Friston:
Trust as Extended Control: Active Inference and User Feedback During Human-Robot Collaboration. - Saumik Dana, Karthik Reddy Lyathakula:
Uncertainty Quantification in Friction Model for Earthquakes using Bayesian inference. - Lawrence C. Paulson:
Ackermann's Function in Iterative Form: A Proof Assistant Experiment. - Aditya A. Paranjape, Vivek Natarajan, Supratim Ghosh:
Transient and Asymptotic Properties of Robust Adaptive Controllers in the Presence of Non-Coercive Lyapunov Functions. - Zahra Gharaee:
Hierarchical growing grid networks for skeleton based action recognition. - Seongsik Park, Dongjin Lee, Sungroh Yoon:
Noise-Robust Deep Spiking Neural Networks with Temporal Information. - Lucrezia Grassi, Carmine Tommaso Recchiuto, Antonio Sgorbissa:
Knowledge Triggering, Extraction and Storage via Human-Robot Verbal Interaction. - Ali Jadbabaie, Anuran Makur, Elchanan Mossel, Rabih Salhab:
Opinion Dynamics under Social Pressure. - Ryuhei Hamaguchi, Yasutaka Furukawa, Masaki Onishi, Ken Sakurada:
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation. - Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong:
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. - Mohamed Hasan, Evangelos Paschalidis, Albert Solernou, He Wang, Gustav Markkula, Richard Romano:
Maneuver-based Anchor Trajectory Hypotheses at Roundabouts. - Taein Kwon, Bugra Tekin, Jan Stühmer, Federica Bogo, Marc Pollefeys:
H2O: Two Hands Manipulating Objects for First Person Interaction Recognition. - Jean Tarbouriech, Runlong Zhou, Simon S. Du, Matteo Pirotta, Michal Valko, Alessandro Lazaric:
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret. - Moritz Hauck, Daniel Peterseim:
Multi-resolution Localized Orthogonal Decomposition for Helmholtz problems. - Aliya Khadieva, Abuzer Yakaryilmaz:
Affine automata verifiers. - Yuansheng Hua, Lichao Mou, Jianzhe Lin, Konrad Heidler, Xiao Xiang Zhu:
Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks. - Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine:
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention. - Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma:
Fully Convolutional Line Parsing. - Yanan Sun, Guanzhi Wang, Qiao Gu, Chi-Keung Tang, Yu-Wing Tai:
Deep Video Matting via Spatio-Temporal Alignment and Aggregation. - Kiana Ehsani, Winson Han, Alvaro Herrasti, Eli VanderBilt, Luca Weihs, Eric Kolve, Aniruddha Kembhavi, Roozbeh Mottaghi:
ManipulaTHOR: A Framework for Visual Object Manipulation. - Youjia Zhou, Archit Rathore, Emilie Purvine, Bei Wang:
Topological Simplifications of Hypergraphs. - Vahan Mkrtchyan, Garik Petrosyan:
On the fixed-parameter tractability of the partial vertex cover problem with a matching constraint in edge-weighted bipartite graphs. - Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu:
Hierarchical Motion Understanding via Motion Programs. - Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Aljosa Osep, Deva Ramanan, Bastian Leibe, Laura Leal-Taixé:
Opening up Open-World Tracking. - Gaurav Parmar, Richard Zhang, Jun-Yan Zhu:
On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation. - Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa:
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. - Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner:
Pri3D: Can 3D Priors Help 2D Representation Learning? - Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer:
Multiscale Vision Transformers. - Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao:
Cross-Domain and Disentangled Face Manipulation with 3D Guidance. - Jiajie Wu:
Literature review on vulnerability detection using NLP technology. - Tekin Evrim Ozmermer, Viktors Roze, Stanislavs Hilcuks, Alina Nescerecka:
VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and Exact Solution. - Hazem J. Alkhatib, Majd N. Bohssas, Rawad H. Hatem, Odey N. Kassam Alhennawi:
A New Approach to CNF-SAT From a Probabilistic Point of View. - Ivan Cvitic, Dragan Perakovic, Marko Perisa, Anca D. Jurcut:
Methodology proposal for proactive detection of network anomalies in e-learning system during the COVID-19 scenario. - Andrew K. Saydjari, Douglas P. Finkbeiner:
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms. - Jonathan W. Lee, George Gunter, Rabie Ramadan, Sulaiman Almatrudi, Paige Arnold, John Aquino, William Barbour, Rahul Bhadani, Joy Carpio, Fang-Chieh Chou, Marsalis T. Gibson, Xiaoqian Gong, Amaury Hayat, Nour Khoudari, Abdul Rahman Kreidieh, Maya Kumar, Nathan Lichtlé, Sean T. McQuade, Brian Q. Nguyen, Megan Ross, Sydney Truong, Eugene Vinitsky, Yibo Zhao, Jonathan Sprinkle, Benedetto Piccoli, Alexandre M. Bayen, Daniel B. Work, Benjamin Seibold:
Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers. - Dihan Dai, Yekaterina Epshteyn, Akil Narayan:
Hyperbolicity-Preserving and Well-Balanced Stochastic Galerkin Method for Two-Dimensional Shallow Water Equations. - Hansoo Lee, Joonyoung Park, Uichin Lee:
A Systematic Survey on Android API Usage for Data-Driven Analytics with Smartphones. - Xiaoyi Lu, Arjun Kashyap:
Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap. - Humberto De las Casas, Nicholas Chambers, Hanz Richter, Kenneth Sparks:
Real-Time Trajectory Optimization in Robot-Assisted Exercise and Rehabilitation. - Rohan Wadhawan, Tapan K. Gandhi:
Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images. - Aviad Rubinstein, Junyao Zhao:
The Randomized Communication Complexity of Randomized Auctions. - Lumbardh Elshani, Krenare Pireva Nuçi:
Constructing a personalized learning path using genetic algorithms approach. - Aliaksandr Siarohin, Oliver J. Woodford, Jian Ren, Menglei Chai, Sergey Tulyakov:
Motion Representations for Articulated Animation. - Zach Colter, Morteza Fayazi, Zineb Benameur-El Youbi, Serafina Kamp, Shuyan Yu, Ronald G. Dreslinski:
Tablext: A Combined Neural Network And Heuristic Based Table Extractor. - Baoru Huang, Jian-Qing Zheng
, Stamatia Giannarou, Daniel S. Elson:
H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry. - Philip A. Etter, Lexing Ying:
Operator Augmentation for General Noisy Matrix Systems. - Rishi Jha, Kai Mihata:
On Geodesic Distances and Contextual Embedding Compression for Text Classification. - Siddhartha Jayanti:
Nash Equilibria of The Multiplayer Colonel Blotto Game on Arbitrary Measure Spaces. - Pawel Kryszkiewicz, Hanna Bogucka:
Low Complex, Narrowband-Interference Robust Synchronization for NC-OFDM Cognitive Radio. - Benjamin Krakoff, Susan M. Mniszewski, Christian F. A. Negre:
A QUBO Algorithm to Compute Eigenvectors of Symmetric Matrices. - Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh:
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics. - Mahmoud Darwich, Yasser Ismail, Talal Darwich, Magdy A. Bayoumi:
Improving Hierarchy Storage for Video Streaming in Cloud. - Sheyda Zarandi, Hina Tabassum:
Federated Double Deep Q-learning for Joint Delay and Energy Minimization in IoT networks. - Nicholas Wanninger, Joshua J. Bowden, Kyle C. Hale:
Virtines: Virtualization at Function Call Granularity. - Christian Bick, Elizabeth Gross, Heather A. Harrington, Michael T. Schaub:
What are higher-order networks? - Ali Bemani, Nassar Ksairi, Marios Kountouris:
AFDM: A Full Diversity Next Generation Waveform for High Mobility Communications. - Yuxiao Chen, Mrdjan Jankovic, Mario A. Santillo, Aaron D. Ames:
Backup Control Barrier Functions: Formulation and Comparative Study. - Constantin Bacuta, Daniel Hayes, Jacob Jacavage:
Efficient discretization and preconditioning of the singularly perturbed Reaction Diffusion problem. - Katherine Isbister, Peter Cottrell, Alessia Cecchet, Ella Dagan, Nikki Theofanopoulou, Ferran Altarriba Bertran, Aaron J. Horowitz, Nick Mead, Joel B. Schwarz, Petr Slovák:
Design not Lost in Translation: A Case Study of an Intimate-Space Socially Assistive Robot for Emotion Regulation. - Keith D. Humfeld, Dawei Gu, Geoffrey A. Butler, Karl Nelson, Navid Zobeiry:
A Machine Learning Framework for Real-time Inverse Modeling and Multi-objective Process Optimization of Composites for Active Manufacturing Control. - Jianwei Zhang
, Suren Jayasuriya, Visar Berisha:
Restoring degraded speech via a modified diffusion model. - Miguel Del Rio, Natalie Delworth, Ryan Westerman, Michelle Huang, Nishchal Bhandari, Joseph Palakapilly, Quinten McNamara, Joshua Dong, Piotr Zelasko, Miguel Jette:
Earnings-21: A Practical Benchmark for ASR in the Wild. - Shradha Shinde, Jay Joshi
, Sowmya Mareedu, Yeon Pyo Kim, Jongwook Woo:
Scalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities. - Marcela G. dos Santos, Fábio Petrillo:
Towards Automated Acceptance testing for industrial robots. - Avik Jain, Lawrence Chan, Daniel S. Brown, Anca D. Dragan:
Optimal Cost Design for Model Predictive Control. - X. San Liang:
Normalized multivariate time series causality analysis and causal graph reconstruction. - Meia Chita-Tegmark, Theresa Law, Nicholas Rabb, Matthias Scheutz:
Can You Trust Your Trust Measure? - Zheng Wang:
Analysis and Modeling of Driver Behavior with Integrated Feedback of Visual and Haptic Information Under Shared Control. - Sabhari Natarajan, Galen Brown, Berk Çalli:
Grasp Synthesis for Novel Objects Using Heuristic-based and Data-driven Active Vision Methods. - Tao Sun, Dongsheng Li, Bao Wang:
Decentralized Federated Averaging. - Mahmood Amintoosi, Farzam Farbiz:
Eigenbackground Revisited: Can We Model the Background with Eigenvectors? - Ali Ahmadvand, Sayyed M. Zahiri, Simon Hughes, Khalifa Al Jadda, Surya Kallumadi, Eugene Agichtein:
APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization. - Michael E. Rowan, Axel Huebl, Kevin N. Gott, Jack Deslippe, Maxence Thévenet, Rémi Lehe, Jean-Luc Vay:
In-Situ Assessment of Device-Side Compute Work for Dynamic Load Balancing in a GPU-Accelerated PIC Code. - Nam Wook Kim:
Recording Reusable and Guided Analytics From Interaction Histories. - Han Zhang:
Transfer training from smaller language model. - Michael V. Klibanov, Thuy T. Le
, Loc H. Nguyen, Anders Sullivan, Lam H. Nguyen:
Convexification-based globally convergent numerical method for a 1D coefficient inverse problem with experimental data. - George Kesidis, Takis Konstantopoulos, Michael A. Zazanis:
Age of information distribution under dynamic service preemption. - Munazza Zaib, Dai Hoang Tran, Subhash Sagar, Adnan Mahmood, Wei Emma Zhang, Quan Z. Sheng:
BERT-CoQAC: BERT-based Conversational Question Answering in Context. - Chunyan Ji, Yi Pan:
Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification. - Linjian Ma, Chao Yang:
Low Rank Approximation in Simulations of Quantum Algorithms. - Jaehee Chun, Justin C. Park, Sven Olberg, You Zhang, Dan Nguyen, Jing Wang, Jin Sung Kim, Steve B. Jiang:
Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy. - Cece Jin, Yuanqi Chen, Ge Li, Tao Zhang, Thomas H. Li:
Low Pass Filter for Anti-aliasing in Temporal Action Localization. - Dylan Matthew Copeland, Siu Wun Cheung, Kevin Huynh
, Youngsoo Choi:
Reduced order models for Lagrangian hydrodynamics. - Xin Dong, Junfeng Guo, Wei-Te Ting, H. T. Kung:
Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy. - Thomas E. Portegys:
A modularity comparison of Long Short-Term Memory and Morphognosis neural networks. - Mohammad Samragh, Hossein Hosseini, Aleksei Triastcyn, Kambiz Azarian, Joseph Soriaga, Farinaz Koushanfar:
Unsupervised Information Obfuscation for Split Inference of Neural Networks. - Justin H. Le, Andrew R. Teel:
Passive soft-reset controllers for nonlinear systems. - Sergio Cabello, Arun Kumar Das, Sandip Das, Joydeep Mukherjee:
Finding a Largest-Area Triangle in a Terrain in Near-Linear Time. - Woodo Lee, Jakyung Koo, Nokyung Park, Pilgu Kang, Jeakwon Shim:
A Framework for Recognizing and Estimating Human Concentration Levels. - Benjamin Wilson:
Learning phylogenetic trees as hyperbolic point configurations. - Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone:
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. - Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim:
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. - Manuel Bodirsky, Hubie Chen, Michal Wrona:
Tractability of Quantified Temporal Constraints To The Max. - Ziyuan Liu, Wei Liu, Yuzhe Qin, Fanbo Xiang, Songyan Xin, Máximo A. Roa, Berk Çalli, Hao Su, Yu Sun, Ping Tan:
OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation. - Aurora Vizcaíno
, Ignacio García Rodríguez de Guzmán, Antonio Manjavacas
, Félix García, José A. Cruz-Lemus, Manuel Ángel Serrano:
How to help university students to manage their interruptions and improve their attention and time management. - Marlou M. Gijzen, Hajime Ishihara, Tatsuji Kawai:
Algebraic combinatory models. - Lucio Flavio Campanile, Stephanie Kirmse, Alexander Hasse:
Accuracy and precision: a new view on kinematic assessment of solid-state hinges and compliant mechanisms. - Xin Chen, Anqi Pang, Wei Yang, Yuexin Ma, Lan Xu, Jingyi Yu:
SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos. - Pierre Ganty, Elena Gutiérrez, Pedro Valero:
A Congruence-Based Perspective on Finite Tree Automata. - Cheng Luo, Dayiheng Liu, Chanjuan Li, Li Lu, Jiancheng Lv:
Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System. - Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang:
Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL. - Stefano Massei, Leonardo Robol, Daniel Kressner:
Hierarchical adaptive low-rank format with applications to discretized PDEs. - Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia A. Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. - Satoshi Kura, Hiroshi Unno, Ichiro Hasuo:
Decision Tree Learning in CEGIS-Based Termination Analysis. - Ruolin Ye, Wenqiang Xu, Zhendong Xue, Tutian Tang, Yanfeng Wang, Cewu Lu:
H2O: A Benchmark for Visual Human-human Object Handover Analysis. - Jan Philipp Thoma
, Christian Niesler, Dominic A. Funke, Gregor Leander, Pierre Mayr, Nils Pohl, Lucas Davi, Tim Güneysu:
ClepsydraCache - Preventing Cache Attacks with Time-Based Evictions. - Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu:
Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks. - Bin-Rui Li, Shenggan Cheng, James Lin:
tcFFT: Accelerating Half-Precision FFT through Tensor Cores. - Xinnan Ding, Kejun Wang, Chenhui Wang, Tianyi Lan, Liangliang Liu:
Sequential convolutional network for behavioral pattern extraction in gait recognition. - Omar I. Al-Bataineh, Daniel Jun Xian Ng, Arvind Easwaran:
Monitoring Cumulative Cost Properties. - Julia Gastinger, Sébastien Nicolas, Dusica Stepic, Mischa Schmidt, Anett Schülke:
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning. - Nguyen Manh Duc Tuan, Pham Quang Nhat Minh:
Multimodal Fusion with BERT and Attention Mechanism for Fake News Detection. - Cristian Vicas
:
Inductive biases and Self Supervised Learning in modelling a physical heating system. - Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali:
Self-Tracking Technology for mHealth: A Systematic Review and the PAST SELF Framework. - Xuanwu Yue, Qiao Gu, Deyun Wang, Huamin Qu, Yong Wang:
iQUANT: Interactive Quantitative Investment Using Sparse Regression Factors. - Martin Tran, Ashish M. Husain:
Structuring and presenting data for testing of automotive electronics to reduce effort during decision making. - Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi:
Skip-Convolutions for Efficient Video Processing. - Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi:
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data. - Zhengmi Tang, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi:
Stroke-Based Scene Text Erasing Using Synthetic Data. - Jiakang Zheng, Jiayi Zhang, Emil Björnson, Bo Ai:
Impact of Channel Aging on Cell-Free Massive MIMO Over Spatially Correlated Channels. - Jinxing Ye, Xiaojiang Peng, Baigui Sun, Kai Wang, Xiuyu Sun, Hao Li, Hanqing Wu:
Learning to Cluster Faces via Transformer. - Michaela Szölgyenyi:
Stochastic differential equations with irregular coefficients: ~mind the gap! - Sheldon Fung, Xuequan Lu, Chao Zhang, Chang-Tsun Li:
DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning. - Guangcan Liu:
Time Series Forecasting via Learning Convolutionally Low-Rank Models. - Jiakang Zheng, Jiayi Zhang, Bo Ai:
UAV Communications with WPT-aided Cell-Free Massive MIMO Systems. - Pride Kavumba, Benjamin Heinzerling, Ana Brassard, Kentaro Inui:
Learning to Learn to be Right for the Right Reasons. - Nikos Fotiou, Vasilios A. Siris, George C. Polyzos:
Capability-based access control for multi-tenant systems using OAuth 2.0 and Verifiable Credentials. - Alejandro Cartas, Petia Radeva, Mariella Dimiccoli:
Modeling long-term interactions to enhance action recognition. - Kevin Alexander Laube, Andreas Zell:
Inter-choice dependent super-network weights. - Arnaud Taffanel, Barbara Rousselot, Jonas Danielsson, Kimberly McGuire, Kristoffer Richardsson, Marcus Eliasson, Tobias Antonsson, Wolfgang Hönig:
Lighthouse Positioning System: Dataset, Accuracy, and Precision for UAV Research. - Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth:
Supervised Video Summarization via Multiple Feature Sets with Parallel Attention. - László Tóth, Amin Honarmandi Shandiz:
3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces. - Wu Liu, Qian Bao, Yu Sun, Tao Mei:
Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective. - Chandan Kumar Sheemar, Christo Kurisummoottil Thomas, Dirk T. M. Slock:
Practical Hybrid Beamforming for Millimeter Wave Massive MIMO Full Duplex with Limited Dynamic Range. - Mário S. Alvim, Bernardo Amorim, Sophia Knight, Santiago Quintero, Frank Valencia:
A Multi-Agent Model for Polarization under Confirmation Bias in Social Networks. - Nianchang Huang, Jianan Liu, Qiang Zhang, Jungong Han:
Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification. - Nianchang Huang, Qiang Zhang, Jungong Han:
Middle-level Fusion for Lightweight RGB-D Salient Object Detection. - Junsong Wang, Yubo Li, Zhiyong Chang, Haitao Yue, Yonghua Lin:
Fine-Grained Texture Identification for Reliable Product Traceability. - Yi He, Haoran Xie
, Chao Zhang, Xi Yang, Kazunori Miyata:
Sketch-based Normal Map Generation with Geometric Sampling. - Li-Hsin Chang, Iiro Rastas, Sampo Pyysalo, Filip Ginter:
Deep learning for sentence clustering in essay grading support. - Anastasiya Sedova, Andreas Stephan, Marina Speranskaya, Benjamin Roth:
Knodle: Modular Weakly Supervised Learning with PyTorch. - Jochen Zöllner, Konrad Sperfeld, Christoph Wick, Roger Labahn:
Optimizing small BERTs trained for German NER. - Wenliang Dai, Samuel Cahyawijaya, Yejin Bang, Pascale Fung:
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition. - Jefferson Seide Molléri, Casper Lassenius, Magne Jørgensen:
Backsourcing of Software Development - A Systematic Literature Review. - Lorin Sweeney, Graham Healy, Alan F. Smeaton:
The Influence of Audio on Video Memorability with an Audio Gestalt Regulated Video Memorability System. - Ran Ben Izhak, Alon Lahav, Ayellet Tal:
AttWalk: Attentive Cross-Walks for Deep Mesh Analysis. - Xia Zeng, Arkaitz Zubiaga:
QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification. - Michael Timothy Bennett, Yoshihiro Maruyama:
Intensional Artificial Intelligence: From Symbol Emergence to Explainable and Empathetic AI. - Maged Helmy, Anastasiya Dykyy, Tuyen Trung Truong, Paulo Ferreira, Eric Jul:
CapillaryNet: An Automated System to Analyze Microcirculation Videos from Handheld Vital Microscopy. - Prakruthi Karuna, Erik Hemberg, Una-May O'Reilly, Nick Rutar:
Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation. - Maha Ali Allouzi, Javed I. Khan:
Identifying and Modeling Security Threats for IoMT Edge Network using Markov Chain and Common Vulnerability Scoring System (CVSS). - Ziyi Cheng, Xuhong Ren, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao:
DeepMix: Online Auto Data Augmentation for Robust Visual Object Tracking. - Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio. - Sangrok Lee, Taekang Woo, Sang Hun Lee:
SBNet: Segmentation-based Network for Natural Language-based Vehicle Search. - Nachuan Li, Austen Z. Fan, Riley Fischer, Wissam Kontar, Bin Ran:
A Prioritized Trajectory Planning Algorithm for Connected and Automated Vehicle Mandatory Lane Changes. - Anshul Tanwar, Hariharan Manikandan, Krishna Sundaresan, Prasanna Ganesan, Sathish Kumar Chandrasekaran, Sriram Ravi:
Assessing Validity of Static Analysis Warnings using Ensemble Learning. - Fabian Gröger, Anne-Marie Rickmann, Christian Wachinger:
STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains. - Zhiyuan Zhou, Kai Xuan, Zhifu Tao, Ligang Zhou:
Generalized-TODIM Method for Multi-criteria Decision Making with Basic Uncertain Information and its Application. - Yide Yu, Amin Honarmandi Shandiz
, László Tóth:
Reconstructing Speech from Real-Time Articulatory MRI Using Neural Vocoders. - Shuwei Shi, Qingyan Bai, Mingdeng Cao, Weihao Xia, Jiahao Wang, Yifan Chen, Yujiu Yang:
Region-Adaptive Deformable Network for Image Quality Assessment. - Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl:
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. - Amin Honarmandi Shandiz, László Tóth, Gábor Gosztolya, Alexandra Markó, Tamás Gábor Csapó:
Improving Neural Silent Speech Interface Models by Adversarial Training. - Giorgia Dellaferrera, Stanislaw Wozniak, Giacomo Indiveri, Angeliki Pantazi, Evangelos Eleftheriou:
Learning in Deep Neural Networks Using a Biologically Inspired Optimizer. - Andrew R. Romano, Lacra Pavel
:
An inexact-penalty method for GNE seeking in games with dynamic agents. - Xuefeng Li, Alan Blair:
Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection. - Glorianna Jagfeld, Fiona Lobban, Paul Rayson, Steven H. Jones:
Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis. - Wilhelm Friedemann, Tobias Friedrich, Hans Gawendowicz, Pascal Lenzner, Anna Melnichenko, Jannik Peters, Daniel Stephan, Michael Vaichenker:
Efficiency and Stability in Euclidean Network Design. - Jose Luis Gómez, Gabriel Villalonga, Antonio M. López:
Co-training for Deep Object Detection: Comparing Single-modal and Multi-modal Approaches. - Bodhisatwa Mandal, Swarnendu Ghosh, Teresa Gonçalves, Paulo Quaresma, Mita Nasipuri, Nibaran Das:
GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits. - Martin Raska, Stepán Starosta:
Producing symmetrical facts for lists induced by the list reversal mapping in Isabelle/HOL. - Shahin Amiriparian, Tobias Hübner, Maurice Gerczuk, Sandra Ottl, Björn W. Schuller:
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data. - Nicholas Budzban, Katherine Silverio, John Matta:
Estimating the Number of HIV+ Latino MSM Using RDS, SS-PSE, and the Census. - Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Alastair Nottingham, Jason Hiser, Jack W. Davidson:
Collaborative Information Sharing for ML-Based Threat Detection. - Zahra Gharaee:
Online recognition of unsegmented actions with hierarchical SOM architecture. - Amelie Wührl, Roman Klinger:
Claim Detection in Biomedical Twitter Posts. - Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu:
Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks. - Deniz Kavi:
Turkish Text Classification: From Lexicon Analysis to Bidirectional Transformer. - Di Wu, Xiaofeng Xie, Xiang Nie, Bin Fu, Hanhui Deng, Haibo Zeng, Zhijin Qin:
Software-Defined Edge Computing: A New Architecture Paradigm to Support IoT Data Analysis. - Roberto Olmos, Siham Tabik, Francisco Pérez-Hernández, Alberto Lamas, Francisco Herrera:
MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance. - Jialun Li, Xiaojia Xie, Hengbo Ma, Xiao Liu, Jianping He:
Speed Planning Using Bezier Polynomials with Trapezoidal Corridors. - Maikel W. M. C. Bertens, Ellen M. T. Vugts, Martijn Anthonissen, Jan H. M. ten Thije Boonkkamp, Wilbert L. IJzerman:
Numerical Methods for the Hyperbolic Monge-Ampère Equation Based on the Method of Characteristics. - Kilian Kleeberger, Florian Roth, Richard Bormann, Marco F. Huber:
Automatic Grasp Pose Generation for Parallel Jaw Grippers. - Benoît Sohet, Yezekael Hayel, Olivier Beaude, Jean-Baptiste Bréal, Alban Jeandin:
Online smart charging algorithm with asynchronous electric vehicles demand. - Samuel Kim, Peter Y. Lu
, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljacic:
Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems. - Roy Schwartz, Nitzan Tur:
The Metric Relaxation for 0-Extension Admits an Ω(log2/3k) Gap. - María Cabrera Calvo, Katharina Schratz:
Uniformly accurate low regularity integrators for the Klein-Gordon equation from the classical to non-relativistic limit regime. - Gabriel Mittag, Sebastian Möller:
Deep Learning Based Assessment of Synthetic Speech Naturalness. - Tianyue Cheng, Tianchi Fan, Landi Wang:
Genetic Constrained Graph Variational Autoencoder for COVID-19 Drug Discovery. - Alberto Mellone, Giordano Scarciotti:
Output Regulation of Linear Stochastic Systems. - Abhishek Ninad Kulkarni, Jie Fu:
Synthesis of Deceptive Strategies in Reachability Games with Action Misperception (Technical Report). - Arsalan Tahir, Muhammad Adil
, Arslan Ali:
Rapid Detection of Aircrafts in Satellite Imagery based on Deep Neural Networks. - Johnathan Alsop, Weon Taek Na, Matthew D. Sinclair, Samuel Grayson
, Sarita V. Adve:
A Case for Fine-grain Coherence Specialization in Heterogeneous Systems. - Zhen Bi, Ningyu Zhang, Ganqiang Ye, Haiyang Yu, Xi Chen, Huajun Chen:
Interventional Aspect-Based Sentiment Analysis. - Parker Ewen, Jean-Pierre Sleiman, Yuxin Chen, Wei-Chun Lu, Marco Hutter, Ram Vasudevan:
Generating Continuous Motion and Force Plans in Real-Time for Legged Mobile Manipulation. - Julia Rosenzweig, Joachim Sicking, Sebastian Houben, Michael Mock, Maram Akila:
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities. - Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo:
A Closer Look at Self-training for Zero-Label Semantic Segmentation. - Yiming Zhao, Xinming Huang, Ziming Zhang:
Deep Lucas-Kanade Homography for Multimodal Image Alignment. - Vibhor Sehgal, Ankit Peshin, Sadia Afroz, Hany Farid:
Mutual Hyperlinking Among Misinformation Peddlers. - Kenneth Alperin, Emily Joback, Leslie Shing, Gabe Elkin:
A Framework for Unsupervised Classificiation and Data Mining of Tweets about Cyber Vulnerabilities. - Keping Yu, Zhiwei Guo, Yu Shen, Wei Wang, Jerry Chun-Wei Lin, Takuro Sato:
Secure Artificial Intelligence of Things for Implicit Group Recommendations. - Saeedeh Parsaeefard, Sayed Ehsan Etesami, Alberto Leon-Garcia:
Robust Federated Learning by Mixture of Experts. - Max Mowbray
, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona, Robin Smith, Dongda Zhang:
Safe Chance Constrained Reinforcement Learning for Batch Process Control. - Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine:
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. - Vishnu Dutt Sharma, Pratap Tokekar:
Risk-Aware Path Planning for Ground Vehicles using Occluded Aerial Images. - Marco Gaido, Matteo Negri, Mauro Cettolo, Marco Turchi:
Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation. - Tao Jiang, Necati Cihan Camgöz, Richard Bowden:
Skeletor: Skeletal Transformers for Robust Body-Pose Estimation. - Sander R. Klomp, Matthew van Rijn, Rob G. J. Wijnhoven, Cees G. M. Snoek, Peter H. N. de With:
Safe Fakes: Evaluating Face Anonymizers for Face Detectors. - Sinan Aksoy, Stephen J. Young, Jesun Firoz, Roberto Gioiosa, Mark Raugas, Juan Escobedo:
SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks. - Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova:
Evaluating Deception Detection Model Robustness To Linguistic Variation. - Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Exact priors of finite neural networks. - Ying Sheng, Yoni Zohar, Christophe Ringeissen, Andrew Reynolds, Clark W. Barrett, Cesare Tinelli:
Politeness and Stable Infiniteness: Stronger Together. - Xinyu Li, Yanyi Zhang, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe:
VidTr: Video Transformer Without Convolutions. - Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, Luc Van Gool:
Learnable Online Graph Representations for 3D Multi-Object Tracking. - Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres:
Becoming Good at AI for Good. - Raphaël Berthon, Adrien Boiret, Guillermo A. Pérez, Jean-François Raskin:
Active Learning of Sequential Transducers with Side Information about the Domain. - Ali Ahmadvand, Surya Kallumadi, Faizan Javed, Eugene Agichtein:
DeepCAT: Deep Category Representation for Query Understanding in E-commerce Search. - Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova:
Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages. - Frank W. Bentrem, Michael A. Corsello, Joshua J. Palm:
Leveraging Sharing Communities to Achieve Federated Learning for Cybersecurity. - Ali Parsai, Serge Demeyer:
Comparing Mutation Coverage Against Branch Coverage in an Industrial Setting. - Kirtankumar Thakkar, Victor Paredes, Ayonga Hereid:
Adaptive Feedback Regulator for Powered Lower-Limb Exoskeleton under Model Uncertainty. - Pablo Martinez-Gonzalez, Sergiu Oprea, John Alejandro Castro-Vargas, Alberto Garcia-Garcia, Sergio Orts-Escolano, José García Rodríguez, Markus Vincze:
UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments. - Yanci Zhang, Tianming Du, Yujie Sun, Lawrence Donohue, Rui Dai:
Form 10-Q Itemization. - Valentina Rossi, Paolo Testolina, Marco Giordani, Michele Zorzi:
On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks. - Andrea Hillenbrand, Uta Störl, Shamil Nabiyev, Stefanie Scherzinger:
MigCast in Monte Carlo: The Impact of Data Model Evolution in NoSQL Databases. - Chris van der Ploeg, Robin Smit, Alexis Siagkris-Lekkos, Frank Benders, Emilia Silvas:
Anomaly Detection from Cyber Threats via Infrastructure to Automated Vehicle. - Gabriel Eilertsen, Apostolia Tsirikoglou
, Claes Lundström, Jonas Unger:
Ensembles of GANs for synthetic training data generation. - Théophile Champion, Marek Grzes, Howard Bowman:
Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker. - Mohammed S. Al-Abiad, Md. Zoheb Hassan, Md. Jahangir Hossain:
Task Offloading Optimization in NOMA-Enabled Multi-hop Mobile Edge Computing System Using Conflict Graph. - Bingzhuo Zhong, Abolfazl Lavaei, Majid Zamani, Marco Caccamo:
Automata-based Controller Synthesis for Stochastic Systems: A Game Framework via Approximate Probabilistic Relations. - Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu:
Partitioning sparse deep neural networks for scalable training and inference. - Wengran Wang, Archit Kwatra, James Skripchuk, Neeloy Gomes, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas W. Price:
Novices' Learning Barriers When Using Code Examples in Open-Ended Programming. - Libor Barto, Zarathustra Brady, Andrei Bulatov, Marcin Kozik, Dmitriy Zhuk:
Minimal Taylor Algebras as a Common Framework for the Three Algebraic Approaches to the CSP. - Pavel Surynek:
Compilation-based Solvers for Multi-Agent Path Finding: a Survey, Discussion, and Future Opportunities. - Takamochi Kanda, Yusuke Koda, Koji Yamamoto, Takayuki Nishio:
ACK-Less Rate Adaptation for IEEE 802.11bc Enhanced Broadcast Services Using Sim-to-Real Deep Reinforcement Learning. - Wengran Wang, Chenhao Zhang, Andreas Stahlbauer, Gordon Fraser, Thomas W. Price:
SnapCheck: Automated Testing for Snap Programs. - Jie Shen, Xiangxiong Zhang:
Discrete Maximum principle of a high order finite difference scheme for a generalized Allen-Cahn equation. - Larry Allen, Robert C. Kirby:
Bounds-constrained polynomial approximation using the Bernstein basis. - Gabriel Jarry-Bolduc:
Approximating the diagonal of a Hessian: which sample set of points should be used. - Dheeraj Baby, Yu-Xiang Wang:
Optimal Dynamic Regret in Exp-Concave Online Learning. - Jordan Allspaw, Gregory LeMasurier, Holly A. Yanco:
Implementing Virtual Reality for Teleoperation of a Humanoid Robot. - Gregory LeMasurier, Jordan Allspaw, Holly A. Yanco:
Semi-Autonomous Planning and Visualization in Virtual Reality. - Mikhail Shubov:
Drone Launched Short Range Rockets. - Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu:
Playing Lottery Tickets with Vision and Language. - Eric Bax:
Selecting a number of voters for a voting ensemble. - Hannes Eriksson, Christos Dimitrakakis, Lars Carlsson:
High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling. - Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier:
On a Utilitarian Approach to Privacy Preserving Text Generation. - Jorge Marchena-Menendez, Robert C. Kirby:
Additive Schwarz methods for serendipity elements. - Tianhao Wang, Si Chen, Ruoxi Jia:
One-Round Active Learning. - Osman Boyaci, Mohammad Rasoul Narimani, Katherine R. Davis, Muhammad Ismail, Thomas J. Overbye, Erchin Serpedin:
Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks. - A. K. M. Nuhil Mehdy, Michael D. Ekstrand, Bart P. Knijnenburg, Hoda Mehrpouyan:
Privacy as a Planned Behavior: Effects of Situational Factors on Privacy Perceptions and Plans. - Stone Yun, Alexander Wong:
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics. - Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Oriented Bounding Boxes for Small and Freely Rotated Objects. - Lukasz Korycki, Bartosz Krawczyk:
Class-Incremental Experience Replay for Continual Learning under Concept Drift. - Zhibin Niu, Junqi Wu, Dawei Cheng, Jiawan Zhang:
Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks. - Xinyu Huang, Yuting Fang, Adam Noel, Nan Yang:
Membrane Fusion-Based Transmitter Design for Static and Diffusive Mobile Molecular Communication Systems. - Peng Xie, Wenyuan Tao, Jie Li, Wentao Huang, Siming Chen:
Exploring Multi-dimensional Data via Subset Embedding. - Haocheng Hua, Jie Xu, Tony Xiao Han:
Optimal Transmit Beamforming for Integrated Sensing and Communication. - SeyyedPooya HekmatiAthar, Mohd Anwar:
Music Embedding: A Tool for Incorporating Music Theory into Computational Music Applications. - Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu:
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. - Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji:
Carrying out CNN Channel Pruning in a White Box. - Deepesh Kumar Lall, Garima Shakya, Swaprava Nath:
Prior-free Strategic Multiagent Scheduling with focus on Social Distancing. - Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao, Yang Lyu, Thien Hoang Nguyen, Lihua Xie:
MILIOM: Tightly Coupled Multi-Input Lidar-Inertia Odometry and Mapping. - Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov:
OPTION: OPTImization Algorithm Benchmarking ONtology. - Ke Yuan, Zuoyu Yan, Yibo Li, Liangcai Gao, Zhi Tang:
Automatic Description Construction for Math Expression via Topic Relation Graph. - Syed Sahil Abbas Zaidi, Mohammad Samar Ansari, Asra Aslam, Nadia Kanwal, Mamoona Naveed Asghar, Brian Lee:
A Survey of Modern Deep Learning based Object Detection Models. - Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang:
LGD-GCN: Local and Global Disentangled Graph Convolutional Networks. - Shiyu Liang, Ruoyu Sun, R. Srikant:
Achieving Small Test Error in Mildly Overparameterized Neural Networks. - Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha:
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers. - Yong Shan, Yang Feng, Chenze Shao:
Modeling Coverage for Non-Autoregressive Neural Machine Translation. - Jivat Neet Kaur, Yiding Jiang, Paul Pu Liang:
Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration. - Qi Wang, Yanling Miao, Mulin Chen, Xuelong Li:
Spatial-Spectral Clustering with Anchor Graph for Hyperspectral Image. - Hussain Ahmad, Isuru Dharmadasa, Faheem Ullah, Muhammad Ali Babar:
A Review on C3I Systems' Security: Vulnerabilities, Attacks, and Countermeasures. - Xudong Lv, Boya Wang, Ziwen Dou, Dong Ye, Shuo Wang:
CFNet: LiDAR-Camera Registration Using Calibration Flow Network. - Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello
, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera:
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. - Christos K. Verginis, Dimos V. Dimarogonas, Lydia E. Kavraki:
KDF: Kinodynamic Motion Planning via Geometric Sampling-based Algorithms and Funnel Control. - Helge Spieker:
Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction. - Furkan Ulger
, Seniha Esen Yüksel, Atila Yilmaz:
Anomaly Detection for Solder Joints Using β-VAE. - Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu:
Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation. - Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori:
Adaptive Appearance Rendering. - Jun Chen
, Aniket Agarwal, Sherif Abdelkarim, Deyao Zhu
, Mohamed Elhoseiny
:
RelTransformer: Balancing the Visual Relationship Detection from Local Context, Scene and Memory. - Vittorio Lippi, Thomas Mergner, Thomas Seel, Christoph Maurer:
COMTEST Project: A Complete Modular Test Stand for Human and Humanoid Posture Control and Balance. - Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori:
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation. - Mike Thelwall
, Tamara Nevill:
Is research with qualitative data more prevalent and impactful now? Interviews, case studies, focus groups and ethnographies. - Jan Chorowski, Grzegorz Ciesielski, Jaroslaw Dzikowski, Adrian Lancucki, Ricard Marxer
, Mateusz Opala, Piotr Pusz, Pawel Rychlikowski, Michal Stypulkowski:
Aligned Contrastive Predictive Coding. - Xavier Gillard, Vianney Coppé, Pierre Schaus, André Augusto Ciré:
Improving the filtering of Branch-And-Bound MDD solver (extended). - Zhi Chen, Jiang Duan, Li Kang, Guoping Qiu:
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning. - Manuel Bodirsky, Thomas Feller, Simon Knäuer, Sebastian Rudolph:
On Logics and Homomorphism Closure. - Mark Burgess, Alva L. Couch:
On system rollback and totalised fields. - Shunsuke Aoki, Lung En Jan, Junfeng Zhao, Anand Bhat, Chen-Fang Chang, Ragunathan Rajkumar:
MultiCruise: Eco-Lane Selection Strategy with Eco-Cruise Control for Connected and Automated Vehicles. - Stephanie Kemna
, Sara Kangaslahti, Oliver Kroemer, Gaurav S. Sukhatme:
Adaptive Sampling: Algorithmic vs. Human Waypoint Selection. - Wenjing Li, Haoran Zhang, Jinyu Chen, Peiran Li, Yuhao Yao, Mariko Shibasaki, Xuan Song, Ryosuke Shibasaki:
Effective Metagraph-based Life Pattern Clustering with Big Human Mobility Data. - Nhung Thi-Hong Nguyen, Phuong Ha-Dieu Phan, Luan Thanh Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
Vietnamese Open-domain Complaint Detection in E-Commerce Websites. - Hassan Alsawadi, Muhammad Bilal:
Measuring Novelty in Autonomous Vehicles Motion Using Local Outlier Factor Algorithm. - Stefan Haag, Bharanidhar Duraisamy, Daniel Pfrommer, Wolfgang Koch, Martin Fritzsche, Jürgen Dickmann:
UNIFY: Multi-Belief Bayesian Grid Framework based on Automotive Radar. - Michael A. Alcorn, Anh Nguyen:
baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents. - Kun Yuan, Yiming Chen
, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin:
DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training. - Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas:
MusCaps: Generating Captions for Music Audio. - Hsueh-Ti Derek Liu, Alec Jacobson:
Normal-Driven Spherical Shape Analogies. - Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayse Basar:
A Deep Reinforcement Learning Approach for the Meal Delivery Problem. - Hadi Jahanshahi, Mucahit Cevik, Ayse Basar:
Predicting the Number of Reported Bugs in a Software Repository. - Pavlos S. Bouzinis, Panagiotis D. Diamantoulakis, George K. Karagiannidis:
Wireless Federated Learning (WFL) for 6G Networks - Part II: The Compute-then-Transmit NOMA Paradigm. - Antonio Mallia, Omar Khattab, Nicola Tonellotto, Torsten Suel:
Learning Passage Impacts for Inverted Indexes. - Piotr Hofman, Marta Juzepczuk, Slawomir Lasota, Mohnish Pattathurajan:
Parikh's theorem for infinite alphabets. - Dmitry Alexandrovsky, Susanne Putze, Alexander Schülke, Rainer Malaka:
Towards Low-burden Responses to Open Questions in VR. - Peng Jiang, Philip R. Osteen, Srikanth Saripalli:
Calibrating LiDAR and Camera using Semantic Mutual information. - Jason I. Hong, Yuvraj Agarwal, Matt Fredrikson
, Mike Czapik, Shawn Hanna, Swarup Sahoo, Judy Chun, Won-Woo Chung, Aniruddh Iyer, Ally Liu, Shen Lu, Rituparna Roychoudhury, Qian Wang, Shan Wang, Siqi Wang, Vida Zhang, Jessica Zhao, Yuan Jiang, Haojian Jin, Sam Kim, Evelyn Kuo, Tianshi Li, Jinping Liu, Yile Liu, Robert Zhang:
The Design of the User Interfaces for Privacy Enhancements for Android. - Rahul Moghe, Maruthi R. Akella, Renato Zanetti:
Riemannian Trust-Region based Adaptive Kalman filter with unknown noise Covariance matrices. - Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian:
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability. - Miles Claver, Jordan Schmerge, Jackson Garner, Jake Vossen, Jedidiah McClurg:
ReGiS: Regular Expression Simplification via Rewrite-Guided Synthesis. - Mohammed Amer, Tomás Maul, Iman Yi Liao:
Balancing Accuracy and Latency in Multipath Neural Networks. - Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang:
Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy. - John R. Rebula, Stefan Schaal, James M. Finley, Ludovic Righetti:
A Robustness Analysis of Inverse Optimal Control of Bipedal Walking. - Wentao Chen, Hailong Qiu, Jian Zhuang, Chutong Zhang, Yu Hu, Qing Lu, Tianchen Wang, Yiyu Shi, Meiping Huang, Xiaowei Xu:
Quantization of Deep Neural Networks for Accurate EdgeComputing. - Mengxue Zhang, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan:
Math Operation Embeddings for Open-ended Solution Analysis and Feedback. - Munlika Rattaphun, Wen-Chieh Fang, Chih-Yi Chiu:
Attention on Global-Local Embedding Spaces in Recommender Systems. - Qianyun Wang, Zhenfeng Fan, Shihong Xia:
3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head. - Naoki Kitamura, Taisuke Izumi:
A Subquadratic-Time Distributed Algorithm for Exact Maximum Matching. - Chang-Jen Wang, Shang-Ling Shih, Chao-Kai Wen, Shi Jin:
Labeling Multipath via Reconfigurable Intelligent Surface. - Jianfeng Jiang, Hui Xu, Yangfan Zhou:
RULF: Rust Library Fuzzing via API Dependency Graph Traversal. - Xinwei Zhao, Matthew C. Stamm:
Making GAN-Generated Images Difficult To Spot: A New Attack Against Synthetic Image Detectors. - Usman Sajid, Michael Chow, Jin Zhang, Taejoon Kim, Guanghui Wang:
Parallel Scale-wise Attention Network for Effective Scene Text Recognition. - Yanmin Wang, Wei Feng, Jue Wang, Tony Q. S. Quek:
Hybrid Satellite-UAV-Terrestrial Networks for 6G Ubiquitous Coverage: A Maritime Communications Perspective. - Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang:
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. - Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng:
How Well Self-Supervised Pre-Training Performs with Streaming Data? - Jinping Wang, Xiaojun Tan, Jianhuang Lai, Jun Li, Canqun Xiang:
ASPCNet: A Deep Adaptive Spatial Pattern Capsule Network for Hyperspectral Image Classification. - Chen Zhao, Zhipeng Gao, Qian Wang, Kaile Xiao, Zijia Mo, M. Jamal Deen:
FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework. - Dongsheng Wang, Chaohao Xie, Shaohui Liu, Zhenxing Niu, Wangmeng Zuo:
Image Inpainting with Edge-guided Learnable Bidirectional Attention Maps. - Nian Liu, Ni Zhang, Kaiyuan Wan, Junwei Han, Ling Shao:
Visual Saliency Transformer. - Steffan Christ Sølvsten, Jaco van de Pol, Anna Blume Jakobsen, Mathias Weller Berg Thomasen:
Efficient Binary Decision Diagram Manipulation in External Memory. - Songmin Dai, Jide Li, Lu Wang, Congcong Zhu, Yifan Wu, Xiaoqiang Li:
Unsupervised Learning of Multi-level Structures for Anomaly Detection. - Emeç Erçelik, Ekim Yurtsever, Alois C. Knoll:
Temp-Frustum Net: 3D Object Detection with Temporal Fusion. - Nemanja Stefan Perovic, Le-Nam Tran, Marco Di Renzo, Mark F. Flanagan:
On the Achievable Sum-rate of the RIS-aided MIMO Broadcast Channel. - Dianming Hou, Chuanju Xu:
Highly efficient and energy dissipative schemes for the time fractional Allen-Cahn equation. - Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin:
On the Comparison between Cyclic Sampling and Random Reshuffling. - Pengfei Liu, Youzhang Ning, King Keung Wu, Kun Li, Helen Meng:
Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing. - Tai Le Quy
, Arjun Roy, Gunnar Friege, Eirini Ntoutsi:
Fair-Capacitated Clustering. - Lu Li:
A new symmetric linearly implicit exponential integrator preserving polynomial invariants or Lyapunov functions for conservative or dissipative systems. - Ali Parsai, Serge Demeyer:
Mutant Density: A Measure of Fault-Sensitive Complexity. - Uri Wollner, Guy Ben-Yosef
:
Parallel mesh reconstruction streams for pose estimation of interacting hands. - Melissa Antonelli, Ugo Dal Lago, Paolo Pistone:
On Measure Quantifiers in First-Order Arithmetic (Long Version). - Anjukan Kathirgamanathan, Eleni E. Mangina, Donal Patrick Finn:
Development of a Soft Actor Critic Deep Reinforcement Learning Approach for Harnessing Energy Flexibility in a Large Office Building. - Thanh Vu, Dai Quoc Nguyen:
Automatic Post-Editing for Translating Chinese Novels to Vietnamese. - Sherlock A. Licorish, Stephen G. MacDonell:
Exploring the links between software development task type, team attitudes and task completion performance: Insights from the Jazz repository. - Josef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel:
What About the Precedent: An Information-Theoretic Analysis of Common Law. - Muhammad Ahmad, Manuel Mazzara, Salvatore Distefano:
3D/2D regularized CNN feature hierarchy for Hyperspectral image classification. - Libo Wang, Rui Li, Chenxi Duan, Shenghui Fang:
Transformer Meets DCFAM: A Novel Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images. - Abhinandan Nath:
Coresets for k-median clustering under Fréchet and Hausdorff distances. - Jinlai Zhang, Lyujie Chen, Binbin Liu, Bo Ouyang, Qizhi Xie, Jihong Zhu, Yanmei Meng:
3D Adversarial Attacks Beyond Point Cloud. - Atri Mukhopadhyay, Goutam Das:
Learning Aided Auctioning for Opportunistic Scheduling in a Wireless Optical Network. - Xiao Ma, David Hsu, Wee Sun Lee:
Learning Latent Graph Dynamics for Deformable Object Manipulation. - Kuldar Taveter, Eliise Marie Taveter:
Case Study on Using Colours in Constructing Emotions by Interactive Digital Narratives. - Christian Antic:
Algebraic answer set programming. - Amin Fakhari, Aditya Patankar, Jiayin Xie, Nilanjan Chakraborty:
Computing a Task-Dependent Grasp Metric Using Second Order Cone Programs. - Sandipan Dhar, Nanda Dulal Jana, Swagatam Das:
An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion. - Ramon Gloumakov:
Intelligent Internal Temperature Control of Food in Standard Convection Ovens. - Xin Chen, Liang Feng Zhang:
Two-Server Verifiable Homomorphic Secret Sharing for High-Degree Polynomials. - Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning. - Sunjing Lin, Yu Liu, Shaochu Wang, Chang Li, Han Wang:
A Novel Unified Stereo Stimuli based Binocular Eye-Tracking System for Accurate 3D Gaze Estimation. - Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou:
Demystification of Few-shot and One-shot Learning. - Enrico Zardini, Davide Zappetti, Davide Zambrano, Giovanni Iacca, Dario Floreano:
Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots. - Oleg Balabanov, Anthony Nouy:
Preconditioners for model order reduction by interpolation and random sketching of operators. - Jingbo Zhao
, Ruize An, Ruolin Xu, Banghao Lin:
Comparing Hand Gestures and the Gamepad Interfaces for Locomotion in Virtual Environments. - Yajue Yang, Yuanqing Wu, Jia Pan:
An Interval Branch-and-Bound-Based Inverse Kinemetics Algorithm Towards Global Optimal Redundancy Resolution. - Mohammad Javad Ahmadi, Tolga M. Duman:
Random Spreading for Unsourced MAC with Power Diversity. - Muhammad Waseem, Peng Liang, Mojtaba Shahin, Aakash Ahmad, Ali Rezaei Nasab:
On the Nature of Issues in Five Open Source Microservices Systems: An Empirical Study. - Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu:
RDMAbox : Optimizing RDMA for Memory Intensive Workloads. - Lasitha Uyangodage, Tharindu Ranasinghe, Hansi Hettiarachchi:
Transformers to Fight the COVID-19 Infodemic. - Archak Das, Avisek Sharma, Buddhadeb Sau:
Power of Finite Memory and Finite Communication Robots under Asynchronous Scheduler. - Muhammad Saif Ullah Khan:
A novel segmentation dataset for signatures on bank checks. - Sina Famouri, Lia Morra, Leonardo Mangia, Fabrizio Lamberti:
Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations. - Sina Ober-Blöbaum, Mats Vermeeren:
Superconvergence of Galerkin variational integrators. - Tobias Nipkow, Simon Roßkopf:
Isabelle's Metalogic: Formalization and Proof Checker. - Priya L. Donti, David Rolnick, J. Zico Kolter:
DC3: A learning method for optimization with hard constraints. - Ahmad Bdeir, Simon Boeder, Tim Dernedde, Kirill Tkachuk, Jonas K. Falkner, Lars Schmidt-Thieme:
RP-DQN: An application of Q-Learning to Vehicle Routing Problems. - (Withdrawn) Identifying Offensive Expressions of Opinion in Context.
- Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas:
Vector Neurons: A General Framework for SO(3)-Equivariant Networks. - Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
The 5th AI City Challenge. - James Garritano, Yuval Kluger, Vladimir Rokhlin, Kirill Serkh:
On the Efficient Evaluation of the Azimuthal Fourier Components of the Green's Function for Helmholtz's Equation in Cylindrical Coordinates. - Chuong H. Nguyen, Thuy C. Nguyen, Anh H. Vo, Yamazaki Masayuki:
Single Stage Class Agnostic Common Object Detection: A Simple Baseline. - Francesco Barbieri, Luis Espinosa Anke, José Camacho-Collados:
XLM-T: A Multilingual Language Model Toolkit for Twitter. - Quan Thoi Minh Nguyen:
0. - Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun:
User Preference-aware Fake News Detection. - Francielle Alves Vargas, Fabiana Rodrigues de Góes, Isabelle Carvalho, Fabrício Benevenuto, Thiago Alexandre Salgueiro Pardo:
Contextual Lexicon-Based Approach for Hate Speech and Offensive Language Detection. - Diwanshu Shekhar, Pooran S. Negi, Mohammad H. Mahoor:
A Bi-Encoder LSTM Model For Learning Unstructured Dialogs. - Yusha Liu, Osvaldo Simeone:
HyperRNN: Deep Learning-Aided Downlink CSI Acquisition via Partial Channel Reciprocity for FDD Massive MIMO. - Yuming Du, Yang Xiao, Vincent Lepetit:
Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos. - Wen Wang, Andreas Stolcke, Jing Zheng:
Reranking Machine Translation Hypotheses with Structured and Web-based Language Models. - Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu:
Causal Learning for Socially Responsible AI. - Nripsuta Saxena:
Computational Group Selection. - Subodh Mishra, Gaurav Pandey, Srikanth Saripalli:
Motion based Extrinsic Calibration of a 3D Lidar and an IMU. - Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino:
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. - Matt Piekenbrock, Jose A. Perea:
Move Schedules: Fast persistence computations in sparse dynamic settings. - Sam Barr, Therese Biedl:
Efficiently Partitioning the Edges of a 1-Planar Graph into a Planar Graph and a Forest. - Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Class Equilibrium using Coulomb's Law. - Pascal Fernsel
:
Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization. - Gokhan Egri, Todd E. Zickler:
StegaPos: Preventing Crops and Splices with Imperceptible Positional Encodings. - Erica Cooper, Xin Wang, Junichi Yamagishi:
Text-to-Speech Synthesis Techniques for MIDI-to-Audio Synthesis. - Mohammad Rahimzadeh
, Soroush Parvin, Elnaz Safi, Mohammad Reza Mohammadi:
Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps. - Gabriel de Sousa Matsumura, Luciana Brasil Rebelo dos Santos
, Arlindo Flávio da Conceição, Nandamudi Lankalapalli Vijaykumar:
Vulnerabilities and Open Issues of Smart Contracts: A Systematic Mapping. - Zhengyu Huang, Yichen Peng, Tomohiro Hibino, Chunqi Zhao, Haoran Xie
, Tsukasa Fukusato, Kazunori Miyata:
dualFace: Two-Stage Drawing Guidance for Freehand Portrait Sketching. - Alexandre Gomes de Siqueira
, Arlindo Flávio da Conceição, Vladimir Rocha:
Blockchains and Self-Sovereign Identities Applied to Healthcare Solutions: A Systematic Review. - Ricky Ma:
ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked Objects. - Yunjiang Jiang, Yue Shang, Rui Li, Wen-Yun Yang, Guoyu Tang, Chaoyi Ma, Yun Xiao, Eric Zhao:
A unified Neural Network Approach to E-CommerceRelevance Learning. - Zhiqiang Fu, Yao Zhao, Dongxia Chang, Xingxing Zhang, Yiming Wang:
Auto-weighted low-rank representation for clustering. - Chang Liu, Xuemeng Liu, Zhiqiang Wei, Shaokang Hu, Derrick Wing Kwan Ng, Jinhong Yuan:
Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications. - Zexuan Yin, Paolo Barucca:
Stochastic Recurrent Neural Network for Multistep Time Series Forecasting. - Hongliang Zhang, Shuhao Zeng, Boya Di, Yunhua Tan, Marco Di Renzo, Mérouane Debbah, Lingyang Song, Zhu Han, H. Vincent Poor:
Intelligent Reflective-Transmissive Metasurfaces for Full-Dimensional Communications: Principles, Technologies, and Implementation. - Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Fei Liu:
A Sliding-Window Approach to Automatic Creation of Meeting Minutes. - Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani:
Efficient training of physics-informed neural networks via importance sampling. - Xin Chen, Liang Feng Zhang:
Two-Server Delegation of Computation on Label-Encrypted Data. - Liang Feng Zhang:
Multi-Server Verifiable Delegation of Computations: Unconditional Security and Practical Efficiency. - Tao Ni, Qing Wang, Gabriela Ferraro:
Explore BiLSTM-CRF-Based Models for Open Relation Extraction. - Yingchen Yu, Fangneng Zhan, Rongliang Wu, Jianxiong Pan, Kaiwen Cui, Shijian Lu, Feiying Ma, Xuansong Xie, Chunyan Miao:
Diverse Image Inpainting with Bidirectional and Autoregressive Transformers. - Michael T. Goodrich, Siddharth Gupta, Hadi Khodabandeh, Pedro Matias:
How to Catch Marathon Cheaters: New Approximation Algorithms for Tracking Paths. - Liancheng Jia, Zizhang Luo, Liqiang Lu, Yun Liang:
TensorLib: A Spatial Accelerator Generation Framework for Tensor Algebra. - Kevin Chow, Steven J. Ruuth:
Linearly Stabilized Schemes for the Time Integration of Stiff Nonlinear PDEs. - Nuria Rodriguez-Diaz, Decky Aspandi, Federico Sukno, Xavier Binefa:
Machine Learning based Lie Detector applied to a Collected and Annotated Dataset. - Aiqing Fang, Xinbo Zhao, Jiaqi Yang, Yanning Zhang:
Dynamic Image Restoration and Fusion Based on Dynamic Degradation. - Amjed Tahir, Kwabena Ebo Bennin, Stephen G. MacDonell, Stephen Marsland:
Revisiting the size effect in software fault prediction models. - Varun Sharma, Paul Chow:
A PGAS Communication Library for Heterogeneous Clusters. - Yuzhi Zhao, Lai-Man Po, Wing Yin Yu, Yasar Abbas Ur Rehman, Mengyang Liu, Yujia Zhang, Weifeng Ou:
VCGAN: Video Colorization with Hybrid Generative Adversarial Network. - Rongzhi Gu, Shi-Xiong Zhang, Yuexian Zou, Dong Yu:
Complex Neural Spatial Filter: Enhancing Multi-channel Target Speech Separation in Complex Domain. - Takuya Kanazawa:
One-parameter family of acquisition functions for efficient global optimization. - Zeshi Yang, Zhiqi Yin:
Efficient Hyperparameter Optimization for Physics-based Character Animation. - Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, Yaowei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian:
PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation. - Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. - Wenxuan Wang, Bangjie Yin, Taiping Yao, Li Zhang, Yanwei Fu, Shouhong Ding, Jilin Li, Feiyue Huang, Xiangyang Xue:
Delving into Data: Effectively Substitute Training for Black-box Attack. - Fausto Giunchiglia, Luca Erculiani, Andrea Passerini:
Towards Visual Semantics. - Xinyi Zhao, Samin Aref, Emilio Zagheni, Guy Stecklov:
International Migration in Academia and Citation Performance: An Analysis of German-Affiliated Researchers by Gender and Discipline Using Scopus Publications 1996-2020. - Adam James Hall, Madhava Jay, Tudor Cebere, Bogdan Cebere, Koen Lennart van der Veen, George Muraru, Tongye Xu, Patrick Cason, William Abramson, Ayoub Benaissa, Chinmay Shah, Alan Aboudib, Théo Ryffel, Kritika Prakash, Tom Titcombe, Varun Kumar Khare, Maddie Shang, Ionesio Junior, Animesh Gupta, Jason Paumier, Nahua Kang, Vova Manannikov, Andrew Trask:
Syft 0.5: A Platform for Universally Deployable Structured Transparency. - Ryuta Arisaka, Takayuki Ito:
Relational Argumentation Semantics. - Yuang Zhang, Huanyu He, Jianguo Li, Yuxi Li, John See, Weiyao Lin:
Variational Pedestrian Detection. - Letizia Mariotti, Ciaran Eising:
Spherical formulation of geometric motion segmentation constraints in fisheye cameras. - Lucio Messina, Lucia Busso, Claudia Roberta Combei, Ludovica Pannitto, Alessio Miaschi, Gabriele Sarti, Malvina Nissim:
A dissemination workshop for introducing young Italian students to NLP. - Zhefeng Qiao, Xianghao Yu, Jun Zhang, Khaled B. Letaief:
Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression. - Augusto Luis Ballardini, Álvaro Hernández-Saz, Miguel Ángel Sotelo:
Model Guided Road Intersection Classification. - Moumita Das, Rajarshi Ray, Swarup Kumar Mohalik, Ansuman Banerjee:
Fast Falsification of Neural Networks using Property Directed Testing. - Quentin Paletta, Anthony Hu, Guillaume Arbod, Joan Lasenby:
ECLIPSE : Envisioning Cloud Induced Perturbations in Solar Energy. - Ludovica Pannitto, Lucia Busso, Claudia Roberta Combei, Lucio Messina, Alessio Miaschi, Gabriele Sarti, Malvina Nissim:
Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students. - Tom Kersten, Hugh Mee Wong, Jaap Jumelet, Dieuwke Hupkes:
Attention vs non-attention for a Shapley-based explanation method. - Qiuping Wang, Jinhong Li, Patrick P. C. Lee, Guangliang Zhao, Chao Shi, Lilong Huang:
In Search of Optimal Data Placement for Eliminating Write Amplification in Log-Structured Storage. - Pavlos Papadopoulos, Oliver Thornewill von Essen, Nikolaos Pitropakis, Christos Chrysoulas, Alexios Mylonas
, William J. Buchanan:
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT. - Yongseok Jang, Simon Shaw:
A Priori Analysis of Discontinuous Galerkin Finite Element Method for Dynamic Viscoelastic Models. - Burak Ozpoyraz, Ibrahim Yildirim, Ertugrul Basar:
Index Modulation Based Coordinate Interleaved Orthogonal Design for Secure Communications. - Samuele Giraudo:
Generation of musical patterns through operads. - Kaoru Teranishi, Tomonori Sadamoto, Aranya Chakrabortty, Kiminao Kogiso:
Designing Optimal Key Lengths and Control Laws for Encrypted Control Systems based on Sample Identifying Complexity and Deciphering Time. - Darius Afchar
, Romain Hennequin, Vincent Guigue:
Towards Rigorous Interpretations: a Formalisation of Feature Attribution. - Robert L. Smith, Marcello M. Bersani, Matteo Rossi, Pierluigi San Pietro:
Improved Bounded Model Checking of Timed Automata. - Luigi Santocanale:
Bijective proofs for Eulerian numbers in types B and D. - Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone:
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. - Sebastian Dürr, Krystian Teodor Lange, Peter A. Gloor:
What Makes a Message Persuasive? Identifying Adaptations Towards Persuasiveness in Nine Exploratory Case Studies. - Lorenzo Bacchiani, Mario Bravetti, Julien Lange, Gianluigi Zavattaro:
A Session Subtyping Tool (Extended Version). - Thomas Bird, Johannes Ballé, Saurabh Singh, Philip A. Chou:
3D Scene Compression through Entropy Penalized Neural Representation Functions. - Catarina G. Belém
, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro:
Weakly Supervised Multi-task Learning for Concept-based Explainability. - Manuj Mukherjee, Aslan Tchamkerten, Chadi Jabbour:
Reconfigurable Adaptive Channel Sensing. - Francesc Lluís, Vasileios Chatziioannou, Alex Hofmann:
Points2Sound: From mono to binaural audio using 3D point cloud scenes. - Jing Tan, Shan Zhao, Pengfei Xiong, Jiangyu Liu, Haoqiang Fan, Shuaicheng Liu:
Practical Wide-Angle Portraits Correction with Deep Structured Models. - Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring:
GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization. - Lorenzo Bacchiani, Mario Bravetti, Saverio Giallorenzo, Jacopo Mauro, Iacopo Talevi, Gianluigi Zavattaro:
Microservice Dynamic Architecture-Level Deployment Orchestration (Extended Version). - Subhankar Ghosh:
Dynamic VAEs with Generative Replay for Continual Zero-shot Learning. - Konstantin Klemmer, Sudipan Saha, Matthias Kahl, Tianlin Xu, Xiao Xiang Zhu:
Generative modeling of spatio-temporal weather patterns with extreme event conditioning. - Gongzheng Li, Yadong Xi, Jingzhen Ding, Duan Wang, Bai Liu, Changjie Fan, Xiaoxi Mao, Zeng Zhao:
Easy and Efficient Transformer : Scalable Inference Solution For large NLP mode. - Jia-Hong Huang, Ting-Wei Wu, Marcel Worring:
Contextualized Keyword Representations for Multi-modal Retinal Image Captioning. - Marcin Maleszka:
Influence of group characteristics on agent voting. - Mauro Sebastián Innocente:
Particle Swarms Reformulated towards a Unified and Flexible Framework. - Zhenliang He, Meina Kan, Shiguang Shan:
EigenGAN: Layer-Wise Eigen-Learning for GANs. - Neta Shoham, Tomer Avidor, Nadav Israel:
An Exploration into why Output Regularization Mitigates Label Noise. - Marcus Vinicius Bunn, Richard Demo Souza, Guilherme Luiz Moritz:
Improving 6TiSCH Reliability and Latency with Simultaneous Multi-Band Operation. - Yinjiang Cai, Zeyu Cui, Shu Wu, Zhen Lei, Xibo Ma:
Represent Items by Items: An Enhanced Representation of the Target Item for Recommendation. - Gaël Poux-Médard, Julien Velcin, Sabine Loudcher:
Powered Dirichlet Process for Controlling the Importance of "Rich-Get-Richer" Prior Assumptions in Bayesian Clustering. - Olga Viberg, Agnes Kukulska-Hulme:
Fostering learners' self-regulation and collaboration skills and strategies for mobile language learning beyond the classroom. - Mohd Shoaib, Varun Ramamohan:
Simulation Modelling and Analysis of Primary Health Centre Operations. - Marcin Michalak, Jesús S. Aguilar-Ruiz:
Boolean Reasoning-Based Biclustering for Shifting Pattern Extraction. - Ales Vavpetic, Emil Zagar:
Geometric approximation of the sphere by triangular polynomial spline patches. - Yan Wang, Rong Su, Wei Wang, Bohui Wang:
Distributed Eco-Driving Algorithm of Vehicle Platoon Using Traffic Light and Road Slope Information. - Sejin Seo, Seung-Woo Ko, Jihong Park, Seong-Lyun Kim, Mehdi Bennis:
Communication-Efficient and Personalized Federated Lottery Ticket Learning. - Francesca Soldan, Enea Bionda, Giuseppe Mauri, Silvia Celaschi:
Short-term forecast of EV charging stations occupancy probability using big data streaming analysis. - Yi Wang, Xinyu Hou, Lap-Pui Chau:
Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization. - Jiaoyang Yin, Yiling Xu, Hao Chen, Yunfei Zhang, Steve Appleby, Zhan Ma:
ANT: Learning Accurate Network Throughput for Better Adaptive Video Streaming. - Christof Löding, Sarah Winter:
Resynchronized Uniformization and Definability Problems for Rational Relations. - Martijn A. Goorden, Kim G. Larsen, Jesper E. Nielsen, Thomas D. Nielsen, Michael R. Rasmussen, Jirí Srba:
Learning Safe and Optimal Control Strategies for Storm Water Detention Ponds. - Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Herve Delingette:
Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks. - Amit Roy, Kashob Kumar Roy, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman:
Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network. - David Coudert, André Nusser, Laurent Viennot:
Enumeration of Far-Apart Pairs by Decreasing Distance for Faster Hyperbolicity Computation. - Sayeed Shafayet Chowdhury, Isha Garg, Kaushik Roy:
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks. - Endre Kovács:
A class of new stable, explicit methods to solve the non-stationary heat equation. - Zhengsu Chen, Lingxi Xie, Jianwei Niu, Xuefeng Liu, Longhui Wei, Qi Tian:
Visformer: The Vision-friendly Transformer. - Onel L. Alcaraz López, Hirley Alves, Samuel Montejo Sánchez, Richard D. Souza, Matti Latva-aho:
CSI-free Rotary Antenna Beamforming for Massive RF Wireless Energy Transfer. - Markus Heimberger, Jonathan Horgan, Ciarán Hughes, John McDonald, Senthil Kumar Yogamani:
Computer vision in automated parking systems: Design, implementation and challenges. - Orit Hazzan:
Exponential Competence of Computer Science and Software Engineering Undergraduate Students. - Vasilis Gkogkidis, Nicholas Dacre:
Exploratory Learning Environments for Responsible Management Education Using Lego Serious Play. - Yorah Bosse, Igor Scaliante Wiese, Marco Aurélio Graciotto Silva, Nelson Lago, Leônidas de Oliveira Brandão, David F. Redmiles
, Fabio Kon, Marco Aurélio Gerosa:
Catalogs of C and Python Antipatterns by CS1 Students. - Virginia Dignum:
The Myth of Complete AI-Fairness. - Juan Julián Merelo Guervós:
Agile (data) science: a (draft) manifesto. - Andrea Loreggia, Anna Passarelli:
The Effects of Air Quality on the Spread of the COVID-19. An Artificial Intelligence Approach. - Lambert Hogenhout:
A Framework for Ethical AI at the United Nations. - René Zandbergen:
The Cardan grille approach to the Voynich MS taken to the next level. - Diego Kozlowski, Dakota S. Murray, Alexis Bell, Will Hulsey, Vincent Larivière, Thema Monroe-White, Cassidy R. Sugimoto:
Avoiding bias when inferring race using name-based approaches. - Huseyin Tunc, Murat Sari:
A stability preserved time-integration method for nonlinear advection-diffusion models. - Siruo Wang, Leah R. Jager, Kai Kammers, Aboozar Hadavand, Jeffrey T. Leek:
Linking open-source code commits and MOOC grades to evaluate massive online open peer review. - Longbing Cao, Qing Liu, Wenfeng Hou:
COVID-19 Modeling: A Review. - Roy Meissner
, Andreas Thor:
Flexible Educational Software Architecture. - Nourhan Sakr, Aya Salama, Nadeen Tameesh, Gihan Osman:
EduPal leaves no professor behind: Supporting faculty via a peer-powered recommender system. - Bilal Ahmad, Jun Sun:
Whether the Health Care Practices For the Patients With Comorbidities Have Changed After the Outbreak of COVID-19; Big Data Public Sentiment Analysis. - Yasir Saleem Afridi, Kashif Ahmad, Laiq Hassan:
Artificial Intelligence Based Prognostic Maintenance of Renewable Energy Systems: A Review of Techniques, Challenges, and Future Research Directions. - Stanislava Fedorova, Alberto Tono, Meher Shashwat Nigam, Jiayao Zhang, Amirhossein Ahmadnia, Cecilia Maria Bolognesi, Dominik L. Michels:
Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture. - Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu:
Mutual Contrastive Learning for Visual Representation Learning. - Md. Rizwan Parvez, Kai-Wei Chang:
Evaluating the Values of Sources in Transfer Learning. - Nikolaos P. Bakas:
Algorithmic Solution for Non-Square, Dense Systems of Linear Equations, with applications in Feature Selection. - Yang Liu, Luiz G. Hafemann, Michael Jamieson, Mehrsan Javan:
Detecting and Matching Related Objects with One Proposal Multiple Predictions. - Yanhang Zhang, Junxian Zhu, Jin Zhu, Xueqin Wang:
Certifiably Polynomial Algorithm for Best Group Subset Selection. - Damien Busatto-Gaston
, Benjamin Monmege, Pierre-Alain Reynier:
Optimal controller synthesis for timed systems. - Loïc Cordone, Benoît Miramond, Sonia Ferrante:
Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks. - Robert Max Williams, Roman V. Yampolskiy:
Understanding and Avoiding AI Failures: A Practical Guide. - Jonathan Horgan, Ciarán Hughes, John McDonald, Senthil Kumar Yogamani:
Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances. - Junyang Wang, Jon Cockayne, Oksana A. Chkrebtii, Timothy John Sullivan, Chris J. Oates:
Bayesian Numerical Methods for Nonlinear Partial Differential Equations. - Jurian Baas, Mehdi Dastani, Ad Feelders:
Exploiting Transitivity Constraints for Entity Matching in Knowledge Graphs. - Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra:
Predictive analytics using Social Big Data and machine learning. - Chenguang Lu:
Understanding and Accelerating EM Algorithm's Convergence by Fair Competition Principle and Rate-Verisimilitude Function. - Yousuf Hashmy, ZillUllah Khan, Rehan Hafiz, Usman Younis, Tausif Tauqeer:
MAQ-CaF: A Modular Air Quality Calibration and Forecasting method for cross-sensitive pollutants. - Freddie Taewoo Hong, Luca Tendera, Connor Myant, David E. Boyle:
Vacuum-formed 3D printed electronics: fabrication of thin, rigid and free-form interactive surfaces. - Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm:
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning. - Saeedeh Parsaeefard, Alberto Leon-Garcia:
Generalized ADMM in Distributed Learning via Variational Inequality. - Chong Xiang, Prateek Mittal:
PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches. - Dan Graur, Ingo Müller, Ghislain Fourny, Gordon T. Watts, Mason Proffitt, Gustavo Alonso:
Evaluating Query Languages and Systems for High-Energy Physics Data. - Sasanka Sekhar Chanda:
An Algorithm to Effect Prompt Termination of Myopic Local Search on Kauffman-s NK Landscape. - Elwin Huaman, Amar Tauqeer, Geni Bushati, Anna Fensel:
Towards Knowledge Graphs Validation through Weighted Knowledge Sources. - Sebastian Szyller, Vasisht Duddu, Tommi Gröndahl, N. Asokan:
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks. - Anqi Hu, Jiahao Zhang, Hiroyuki Kaga:
Green View Index Analysis and Optimal Green View Index Path Based on Street View and Deep Learning. - Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov:
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment. - Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi:
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. - Yunpeng Tai:
A Survey Of Regression Algorithms And Connections With Deep Learning. - Kerstin Bongard-Blanchy, Arianna Rossi, Salvador Rivas, Sophie Doublet, Vincent Koenig, Gabriele Lenzini:
I am Definitely Manipulated, Even When I am Aware of it. It s Ridiculous! - Dark Patterns from the End-User Perspective. - Natan Rubin:
Stronger Bounds for Weak Epsilon-Nets in Higher Dimensions. - Henning Schulze, Dogucan Yaman, Alexander Waibel:
CAGAN: Text-To-Image Generation with Combined Attention GANs. - Benedikt Fesl, Nurettin Turan, Michael Koller, Wolfgang Utschick:
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network. - Yihua Cheng, Haofei Wang, Yiwei Bao, Feng Lu:
Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark. - Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim:
Exploiting Explanations for Model Inversion Attacks. - Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Schmidt Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang:
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. - Shaw-Hwa Lo, Yiqiao Yin:
A Novel Interaction-based Methodology Towards Explainable AI with Better Understanding of Pneumonia Chest X-ray Images. - Xuhui Jia, Kai Han, Yukun Zhu, Bradley Green:
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data. - Lawrence C. Paulson:
The Relative Consistency of the Axiom of Choice Mechanized Using Isabelle/ZF. - Henry Turner, Simon Eberz, Ivan Martinovic:
Recurring Turking: Conducting Daily Task Studies on Mechanical Turk. - Howard Chen, Mengzhou Xia, Danqi Chen:
Non-Parametric Few-Shot Learning for Word Sense Disambiguation. - Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang:
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data. - Rémi Bernhard, Pierre-Alain Moëllic, Martial Mermillod, Yannick Bourrier, Romain Cohendet, Miguel Solinas, Marina Reyboz:
Impact of Spatial Frequency Based Constraints on Adversarial Robustness. - Alexander Gepperth, Benedikt Pfülb:
Image Modeling with Deep Convolutional Gaussian Mixture Models. - Yuan-Hong Liao, Amlan Kar, Sanja Fidler:
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets. - Benjamin Elizalde, Radu Revutchi, Samarjit Das, Bhiksha Raj, Ian R. Lane, Laurie M. Heller:
Identifying Actions for Sound Event Classification. - Jérôme Leroux:
The Reachability Problem for Petri Nets is Not Primitive Recursive. - Isaac Neal, Sohan Seth, Gary Watmough, Mamadou Saliou Diallo:
Towards Sustainable Census Independent Population Estimation in Mozambique. - Andrea Barontini:
Quadratic Payments with constrained probabilities. - Mohamed Afham, Salman H. Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan:
Rich Semantics Improve Few-shot Learning. - Saeid Alirezazadeh
, André Correia, Luís A. Alexandre:
Optimal Algorithm Allocation for Robotic Network Cloud Systems. - Shrimai Prabhumoye, Kazuma Hashimoto, Yingbo Zhou, Alan W. Black, Ruslan Salakhutdinov:
Focused Attention Improves Document-Grounded Generation. - Rob Geada, Tommaso Teofili, Rui Vieira, Rebecca Whitworth, Daniele Zonca:
TrustyAI Explainability Toolkit. - Simon Kuenzer, Vlad-Andrei Badoiu, Hugo Lefeuvre, Sharan Santhanam, Alexander Jung, Gaulthier Gain, Cyril Soldani, Costin Lupu, Stefan Teodorescu, Costi Raducanu, Cristian Banu, Laurent Mathy, Razvan Deaconescu, Costin Raiciu, Felipe Huici:
Unikraft: Fast, Specialized Unikernels the Easy Way. - Yayati Jadhav, Amir Barati Farimani:
Dominant motion identification of multi-particle system using deep learning from video. - Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong:
2.5D Visual Relationship Detection. - Julian Posada, Nicholas Weller, Wendy H. Wong:
We Haven't Gone Paperless Yet: Why the Printing Press Can Help Us Understand Data and AI. - Yang Yue, Xiaoran Yu, Xinyi You, Yi Wang, David F. Redmiles:
Ideology in Open Source Development. - Xiyang Luo, Yinxiao Li, Huiwen Chang, Ce Liu, Peyman Milanfar, Feng Yang:
DVMark: A Deep Multiscale Framework for Video Watermarking. - Timo Möller, Julian Risch, Malte Pietsch:
GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval. - Hadi Jahanshahi, Kritika Chhabra, Mucahit Cevik, Ayse Basar:
DABT: A Dependency-aware Bug Triaging Method. - Abhinav Tamaskar, Bud Mishra:
Efficient Evolutionary Models with Digraphons. - Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu:
Improve Vision Transformers Training by Suppressing Over-smoothing. - Hadi Jahanshahi, Syed Kazmi, Mucahit Cevik:
Auto Response Generation in Online Medical Chat Services. - Minesh Mathew, Viraj Bagal, Rubèn Pérez Tito, Dimosthenis Karatzas, Ernest Valveny, C. V. Jawahar:
InfographicVQA. - Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian:
Instance-wise Causal Feature Selection for Model Interpretation. - Alexander Rucker, Matthew Vilim, Tian Zhao, Yaqi Zhang, Raghu Prabhakar, Kunle Olukotun:
Capstan: A Vector RDA for Sparsity. - Yu-Guan Hsieh, Kimon Antonakopoulos, Panayotis Mertikopoulos:
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium. - Ahmed Saleh Bataineh, Jamal Bentahar, Rabeb Mizouni, Omar Abdel Wahab, Gaith Rjoub, May El Barachi:
Cloud computing as a platform for monetizing data services: A two-sided game business model. - Aishwarya Kamath, Mannat Singh, Yann LeCun, Ishan Misra, Gabriel Synnaeve, Nicolas Carion:
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. - Zhen Dong, Yizhao Gao, Qijing Huang, John Wawrzynek, Hayden K. H. So, Kurt Keutzer:
HAO: Hardware-aware neural Architecture Optimization for Efficient Inference. - Gangadharan Esakki:
Adaptive Encoding for Constrained Video Delivery in HEVC, VP9, AV1 and VVC Compression Standards and Adaptation to Video Content. - Alex Brandts, Stanislav Zivný:
Beyond PCSP(1-in-3, NAE). - Sridhar Chellappa, Lihong Feng, Valentin de la Rubia, Peter Benner:
Inf-Sup-Constant-Free State Error Estimator for Model Order Reduction of Parametric Systems in Electromagnetics. - Luyu Wang, Pauline Luc, Adrià Recasens, Jean-Baptiste Alayrac, Aäron van den Oord:
Multimodal Self-Supervised Learning of General Audio Representations. - Anastasia Impicciatore, Maria Teresa Grifa, Pierdomenico Pepe, Alessandro D'Innocenzo:
Sufficient Lyapunov conditions for exponential mean square stability of discrete-time systems with markovian delays (extended version). - André Chailloux, Thomas Debris-Alazard, Simona Etinski:
Classical and Quantum algorithms for generic Syndrome Decoding problems and applications to the Lee metric. - Xing Niu, Ziyu Liu, Pengyuan Li, Boris Glavic:
Provenance-based Data Skipping (TechReport). - Sarah Baig, Mohammed Elbadry:
Survey: Vitals Screening Techniques for a Safer Environment. - Yash Chandak, Scott Niekum, Bruno Castro da Silva, Erik G. Learned-Miller, Emma Brunskill, Philip S. Thomas:
Universal Off-Policy Evaluation. - Martin Milenkoski, Diego Antognini, Claudiu Musat:
Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts. - Oliver Sander
:
Conforming Finite Elements for H(sym Curl) and H(dev sym Curl). - Dmitriy Smirnov, Justin M. Solomon:
HodgeNet: Learning Spectral Geometry on Triangle Meshes. - Byungjin Cho, Yu Xiao:
Learning-based decentralized offloading decision making in an adversarial environment. - Srikumar Ramalingam, Daniel Glasner, Kaushal Patel, Raviteja Vemulapalli, Sadeep Jayasumana, Sanjiv Kumar:
Balancing Constraints and Submodularity in Data Subset Selection. - Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta:
Multimodal Contrastive Training for Visual Representation Learning. - Trent J. Bradberry
, Christopher H. Hase, LeAnna Kent, Joel A. Góngora:
Unsupervised Instance Selection with Low-Label, Supervised Learning for Outlier Detection. - Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li:
Graph Neural Networks with Adaptive Frequency Response Filter. - Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato, Taskin Padir:
End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning. - Robert Zhang, Rachael Stolzenberg-Solomon, Shannon M. Lynch, Ryan J. Urbanowicz:
LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification. - Ekaterina Artemova, Murat Apishev, Veronika Sarkisyan, Sergey Aksenov, Denis Kirjanov, Oleg Serikov:
Teaching a Massive Open Online Course on Natural Language Processing. - Vladislav Mikhailov, Oleg Serikov, Ekaterina Artemova:
Morph Call: Probing Morphosyntactic Content of Multilingual Transformers. - Luca Demetrio, Battista Biggio:
secml-malware: A Python Library for Adversarial Robustness Evaluation of Windows Malware Classifiers. - Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres:
Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models. - Balakrishnan Devarajan:
Free Vibration analysis of Curvilinearly Stiffened Composite plates with an arbitrarily shaped cutout using Isogeometric Analysis. - Balakrishnan Devarajan:
Vibration Analysis of Timoshenko Beams using Isogeometric Analysis. - Hengli Wang, Peide Cai, Yuxiang Sun, Lujia Wang, Ming Liu:
Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation. - Ali Akbar Sadat Asl, Mohammad Mahdi Ershadi, Shahabeddin Sotudian:
Fuzzy Expert Systems for Prediction of ICU Admission in Patients with COVID-19. - Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes:
Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles. - Melanie Mitchell:
Why AI is Harder Than We Think. - Soo-Hyun Ryu, Richard L. Lewis:
Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention. - Aman Priyanshu
, Mudit Sinha, Shreyans Mehta:
Continual Distributed Learning for Crisis Management. - Khondokar Fida Hasan, Anthony Overall, Keyvan Ansari, Gowri Sankar Ramachandran, Raja Jurdak:
Security, Privacy and Trust: Cognitive Internet of Vehicles. - Laura Bozzelli, Adriano Peron, César Sánchez:
Asynchronous Extensions of HyperLTL. - Parisa Ramezani, Abbas Jamalipour:
Backscatter-Assisted Wireless Powered Communication Networks Empowered by Intelligent Reflecting Surface. - Yu Huang, Denae Ford, Thomas Zimmermann:
Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good. - Mahshid Helali Moghadam, Golrokh Hamidi, Markus Borg, Mehrdad Saadatmand, Markus Bohlin, Björn Lisper, Pasqualina Potena:
Performance Testing Using a Smart Reinforcement Learning-Driven Test Agent. - Christoph Graf, Viktor Zobernig, Johannes Schmidt, Claude Klöckl:
Computational Performance of Deep Reinforcement Learning to find Nash Equilibria. - Kaidong Li, Nina Y. Wang, Yiju Yang, Guanghui Wang:
SGNet: A Super-class Guided Network for Image Classification and Object Detection. - Pawel Kryszkiewicz, Hanna Bogucka:
In-Band-Interference Robust Synchronization Algorithm for an NC-OFDM System. - Fengpei Yuan, Joel G. Anderson, Tami Wyatt, Ruth Palan Lopez, Monica Crane, Austin Montgomery, Xiaopeng Zhao:
Assessing the Acceptability of a Humanoid Robot for Alzheimer's Disease and Related Dementia Care Using an Online Survey. - Tobias Fischer, Wolf Vollprecht, Silvio Traversaro, Sean Yen, Carlos Herrero, Michael Milford:
RoboStack: Using the Robot Operating System alongside the Conda and Jupyter Data Science Ecosystems. - Cy P. Chan, Anu Kuncheria, Bingyu Zhao, Theophile Cabannes
, Alexander Keimer, Bin Wang, Alexandre M. Bayen, Jane MacFarlane:
Quasi-Dynamic Traffic Assignment using High Performance Computing. - Pawel Kryszkiewicz, Filip Idzikowski, Bartosz Bossy, Bartosz Kopras, Hanna Bogucka:
Energy Savings by Task Offloading to a Fog Considering Radio Front-End Characteristics. - Samah Karim, Edgar Solomonik:
Efficient Preconditioners for Interior Point Methods via a new Schur Complementation Strategy. - Ashkan Kazemi, Zehua Li, Verónica Pérez-Rosas, Rada Mihalcea:
Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News. - Kenneth Holstein, Shayan Doroudi:
Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education? - Joseph Turian, Jordie Shier, George Tzanetakis, Kirk McNally, Max Henry:
One Billion Audio Sounds from GPU-enabled Modular Synthesis. - John Baillieul, Zexin Sun:
Neuromimetic Control - A Linear Model Paradigm. - Rodolfo Migon Favaretto, Paulo Knob, Soraia Raupp Musse, Felipe Vilanova, Angelo Brandelli Costa:
Detecting Personality and Emotion Traits in Crowds from Video Sequences. - Evgenia Rusak, Steffen Schneider, Peter V. Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge:
Adapting ImageNet-scale models to complex distribution shifts with self-learning. - Xiaoqiang Wang, Dabin Zheng:
Several classes of PcN power functions over finite fields. - Eduardo Candela, Yuxiang Feng, Panagiotis Angeloudis, Yiannis Demiris:
Quantitative Risk Indices for Autonomous Vehicle Training Systems. - Yi Li, David P. Woodruff, Taisuke Yasuda:
Exponentially Improved Dimensionality Reduction for 𝓁1: Subspace Embeddings and Independence Testing. - Yulong Pan, Per-Olof Persson:
High-order accurate finite difference discretisations on fully unstructured dual quadrilateral meshes. - Abhay M. Shalghar, Ayush Kumar, Balaji Ganesan, Aswin Kannan, Shobha G:
Document Structure aware Relational Graph Convolutional Networks for Ontology Population. - Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li:
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals. - Yibo Liu, Hunter Schofield, Jinjun Shan:
Navigation of a Self-Driving Vehicle Using One Fiducial Marker. - Zewen Shen, Kirill Serkh:
On the Evaluation of the Eigendecomposition of the Airy Integral Operator. - Lifan Mei, Jinrui Gou, Yujin Cai, Houwei Cao, Yong Liu:
Realtime Mobile Bandwidth and Handoff Predictions in 4G/5G Networks. - Zechen Bai, Zhigang Wang, Jian Wang, Di Hu, Errui Ding:
Unsupervised Multi-Source Domain Adaptation for Person Re-Identification. - Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang, Jorge Ortiz, Seyedamin Pouriyeh:
A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep. - Jicheng Li, Yang Feng, Jiao Ou:
SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer. - Justin Crum, Cyrus Cheng, David A. Ham, Lawrence Mitchell, Robert C. Kirby, Joshua A. Levine, Andrew Gillette:
Bringing Trimmed Serendipity Methods to Computational Practice in Firedrake. - Javad Sabzehali, Vijay K. Shah, Harpreet S. Dhillon, Jeffrey H. Reed:
3D Placement and Orientation of mmWave-based UAVs for Guaranteed LoS Coverage. - Moritz Lichter:
Separating Rank Logic from Polynomial Time. - Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin:
Multi-view Deep One-class Classification: A Systematic Exploration. - Sahar Abdollahi, Arash Deldari, Hamid Asadi, Ahmadreza Montazerolghaem, Sayyed Majid Mazinani:
Flow aware Forwarding in SDN Datacenters Using a Knapsack PSO Based Solution. - Feng Dang, Hangting Chen, Pengyuan Zhang:
DPT-FSNet: Dual-path Transformer Based Full-band and Sub-band Fusion Network for Speech Enhancement. - Dong-Hyun Jung, Joon-Gyu Ryu, Woo-Jin Byun, Junil Choi:
Performance Analysis of Satellite Communication System Under the Shadowed-Rician Fading: A Stochastic Geometry Approach. - Kashob Kumar Roy, Amit Roy, A. K. M. Mahbubur Rahman, M. Ashraful Amin, Amin Ahsan Ali:
Structure-Aware Hierarchical Graph Pooling using Information Bottleneck. - Kashob Kumar Roy, Amit Roy, A. K. M. Mahbubur Rahman, M. Ashraful Amin, Amin Ahsan Ali:
Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation. - Chongyi Li, Saeed Anwar, Junhui Hou, Runmin Cong, Chunle Guo, Wenqi Ren:
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding. - Hongxin Wang, Jiannan Zhao, Huatian Wang, Jigen Peng, Shigang Yue:
An Attention and Prediction Guided Visual System for Small Target Motion Detection in Complex Natural Environments. - Rob van Glabbeek:
Coinductive Validity. - Yi Zhang, Artur Palha, Marc Gerritsma, Leo G. Rebholz:
A mass-, kinetic energy- and helicity-conserving mimetic dual-field discretization for three-dimensional incompressible Navier-Stokes equations, part I: Periodic domains. - Flavio Di Nuzzo, Davide Brunelli, Tommaso Polonelli, Luca Benini:
Structural Health Monitoring system with Narrowband IoT and MEMS sensors. - Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang:
A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation. - Martin Kiss, Karel Benes, Michal Hradis:
AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions. - Samuele Giraudo:
The music box operad: Random generation of musical phrases from patterns. - Yves Bestgen:
LAST at CMCL 2021 Shared Task: Predicting Gaze Data During Reading with a Gradient Boosting Decision Tree Approach. - Xian-Feng Han, Yi-Fei Jin, Hui-Xian Cheng, Guo-Qiang Xiao:
Dual Transformer for Point Cloud Analysis. - Shuai Wang, Penghui Wei, Jiahao Zhao, Wenji Mao:
A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking. - Samuel Glismann
:
Ancillary Services Acquisition Model: considering market interactions in policy design. - Zelin Zang, Siyuan Li
, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li:
Unsupervised Deep Manifold Attributed Graph Embedding. - Prabadevi B, Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen, Praveen Kumar Reddy Maddikunta, G. Thippa Reddy, Pubudu N. Pathirana, Octavia A. Dobre:
Toward Blockchain for Edge-of-Things: A New Paradigm, Opportunities, and Future Directions. - Yanjun Zhang, Guangdong Bai, Xue Li, Surya Nepal, Ryan K. L. Ko:
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning. - Ivaxi Sheth:
Three-stream network for enriched Action Recognition. - Xian-Feng Han, Zhang-Yue He, Jia Chen, Guo-Qiang Xiao:
Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation. - Dimos Makris, Kat R. Agres, Dorien Herremans
:
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework. - Minghao Xu, Hang Wang, Bingbing Ni:
Graphical Modeling for Multi-Source Domain Adaptation. - Urban Skvorc, Tome Eftimov, Peter Korosec:
A Complementarity Analysis of the COCO Benchmark Problems and Artificially Generated Problems. - Mathias P. M. Parisot, Balazs Pejo, Dayana Spagnuelo:
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity. - Sijing Li, Cheng Zhang, Zhiwen Zhang, Hongkai Zhao:
A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems. - Qian He, Shuailin Li, Xuming He:
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model. - Moussa Doumbouya, Lisa Einstein, Chris Piech:
Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users. - Ye Sun
, Giacomo Livan, Athen Ma, Vito Latora:
Interdisciplinary researchers attain better performance in funding. - Mingrui Cao, Long Zhang, Bin Cao:
Towards On-Device Federated Learning: A Direct Acyclic Graph-based Blockchain Approach. - Manojit Chakraborty, Shubham Das, Radhika Mamidi:
Detection of Fake Users in SMPs Using NLP and Graph Embeddings. - Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si:
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. - João Rico, José Barateiro, Arlindo L. Oliveira:
Graph Neural Networks for Traffic Forecasting. - Michael Lampis:
Minimum Stable Cut and Treewidth. - Eugenio Angriman, Henning Meyerhenke, Christian Schulz, Bora Uçar:
Fully-dynamic Weighted Matching Approximation in Practice. - Pietro Liguori, Erfan Al-Hossami, Domenico Cotroneo, Roberto Natella, Bojan Cukic, Samira Shaikh:
Shellcode_IA32: A Dataset for Automatic Shellcode Generation. - Yoshinari Fujinuma, Masato Hagiwara:
Semi-Supervised Joint Estimation of Word and Document Readability. - Chaosheng Dong, Xiaojie Jin, Weihao Gao, Yijia Wang, Hongyi Zhang, Xiang Wu, Jianchao Yang, Xiaobing Liu:
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning. - Lukas Stevens, Tobias Nipkow:
A Verified Decision Procedure for Orders in Isabelle/HOL. - Young Gon Jo, Seok Hyeon Hong, Sung Soo Hwang, Jeong Mok Ha:
Fisheye Lens Camera based Autonomous Valet Parking System. - Bartosz Bednarczyk, Stéphane Demri:
Why Propositional Quantification Makes Modal and Temporal Logics on Trees Robustly Hard? - Dominic J. D. Hughes, Lutz Straßburger, Jui-Hsuan Wu:
Combinatorial Proofs and Decomposition Theorems for First-order Logic. - Shuo Yuan, Bin Cao, Yao Sun, Mugen Peng:
Secure and Efficient Federated Learning Through Layering and Sharding Blockchain. - Jakob Bossek, Aneta Neumann, Frank Neumann:
Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms. - Roberto Mecca, Fotios Logothetis, Ignas Budvytis, Roberto Cipolla:
LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo. - Qiang Sun, Evert Klaseboer:
Including monopoles to a fully desingularized boundary element method for acoustics. - Christian Alrabbaa, Franz Baader, Stefan Borgwardt, Patrick Koopmann, Alisa Kovtunova:
Finding Good Proofs for Description Logic Entailments Using Recursive Quality Measures (Extended Technical Report). - Yuhao Yao, Haoran Zhang, Jinyu Chen, Wenjing Li, Mariko Shibasaki, Ryosuke Shibasaki, Xuan Song:
Mobsimilarity: Vector Graph Optimization for Mobility Tableau Comparison. - Yixin Li, Bin Cao, Liang Liang, Deming Mao, Lei Zhang:
Block Access Control in Wireless Blockchain Network: Design, Modeling and Analysis. - Alireza Mohammadi, Mark W. Spong:
Quadratic Optimization-Based Nonlinear Control for Protein Conformation Prediction. - Hoang Tung Dinh, Danilo Romano, Patrick Abrahao Menani, Victor Vaquero, Quentin De Clercq, Mário Henrique C. Torres:
Real-time safety assessment of trajectories for autonomous driving. - Weigang Li, Liriam Enamoto, Denise Leyi Li, Geraldo Pereira Rocha Filho:
Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence. - Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Mirco Tribastone, Max Tschaikowski, Andrea Vandin:
Efficient Local Computation of Differential Bisimulations via Coupling and Up-to Methods. - Haiquan Lu, Yong Zeng:
Communicating with Extremely Large-Scale Array/Surface: Unified Modelling and Performance Analysis. - Hamed Babaei Giglou, Taher Rahgooy, Mostafa Rahgouy, Jafar Razmara:
UoT-UWF-PartAI at SemEval-2021 Task 5: Self Attention Based Bi-GRU with Multi-Embedding Representation for Toxicity Highlighter. - Clara L. Galimberti, Liang Xu, Giancarlo Ferrari-Trecate:
A unified framework for Hamiltonian deep neural networks. - Bertrand Tondu:
Towards an efficient inverse static model of a Festo actuator made of two antagonist muscles for hybrid control of its position and stiffness. - Wenwen Min, Taosheng Xu, Xiang Wan, Tsung-Hui Chang:
Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis. - Xinmeng Li, Mamoun Alazab, Qian Li, Keping Yu, Quanjun Yin:
Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction. - Paolo Pagano:
C-Ports: a proposal for a comprehensive standardization and implementation plan of digital services offered by the "Port of the Future". - Maopeng Ran, Lihua Xie:
Practical Output Consensus of Nonlinear Heterogeneous Multi-Agent Systems with Limited Data Rate. - Ziyi Xie, Wenqiang Yi, Xuanli Wu, Yuanwei Liu, Arumugam Nallanathan:
Modeling and Coverage Analysis for RIS-aided NOMA Transmissions in Heterogeneous Networks. - Luc Le Magoarou
:
Efficient channel charting via phase-insensitive distance computation. - Tegg Tae Kyong Sung, Bo Ryu:
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning. - Mingyuan Fan, Shenqi Lai, Junshi Huang, Xiaoming Wei, Zhenhua Chai, Junfeng Luo, Xiaolin Wei:
Rethinking BiSeNet For Real-time Semantic Segmentation. - Juliane Braunsmann, Marko Rajkovic, Martin Rumpf, Benedikt Wirth:
Learning low bending and low distortion manifold embeddings. - Md. Tahmid Rahman Laskar, Jimmy X. Huang, Vladan Smetana, Chris Stewart, Kees Pouw, Aijun An
, Stephen Chan, Lei Liu:
Extending Isolation Forest for Anomaly Detection in Big Data via K-Means. - Prakhar Sharma, Phillip A. Porras, Steven Cheung, James Carpenter, Vinod Yegneswaran:
Scalable Microservice Forensics and Stability Assessment Using Variational Autoencoders. - Nathan Danneman, James Hyde:
Predicting Adversary Lateral Movement Patterns with Deep Learning. - Sotirios Katsikeas, Pontus Johnson, Mathias Ekstedt, Robert Lagerström:
Research Communities in cyber security: A Comprehensive Literature Review. - Heping Jiang:
The 1-1 algorithm for Travelling Salesman Problem. - Hamid Reza Attar, Haosu Zhou, Alistair Foster, Nan Li:
Rapid feasibility assessment of components formed through hot stamping: A deep learning approach. - Maximilian L. Croci, Ushnish Sengupta, Matthew P. Juniper:
Online parameter inference for the simulation of a Bunsen flame using heteroscedastic Bayesian neural network ensembles. - Chenglong Li, Wanlin Xue, Yaqing Jia, Zhichen Qu, Bin Luo, Jin Tang:
LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking. - Yongzhong Song:
Some new results on generalized diagonally dominant matrices and matrix eigenvalue inclusion regions. - Grgur Kovac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer:
SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents. - Mohammad Almasri, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-Mei W. Hwu:
K-Clique Counting on GPUs. - Emmanuel Ledinot:
CPS Engineering: Gap Analysis and Perspectives. - Elsa Rizk, Ali H. Sayed:
A Graph Federated Architecture with Privacy Preserving Learning. - Cheng Wang, Sun Kim, Taiwoo Park, Sajal Choudhary, Sunghyun Park, Young-Bum Kim, Ruhi Sarikaya, Sungjin Lee:
Handling Long-Tail Queries with Slice-Aware Conversational Systems. - Safa Otoum, Ismaeel Al Ridhawi, Hussein T. Mouftah:
Preventing and Controlling Epidemics through Blockchain-Assisted AI-Enabled Networks. - Grzegorz Chrupala:
Visually grounded models of spoken language: A survey of datasets, architectures and evaluation techniques. - Sanjay Seetharaman, Shubham Malaviya, Rosni K. Vasu, Manish Shukla, Sachin Lodha:
Influence Based Defense Against Data Poisoning Attacks in Online Learning. - Pouya Agheli, Hamzeh Beyranvand, Mohammad Javad Emadi:
UAV-Assisted Underwater Sensor Networks using RF and Optical Wireless Links. - Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version). - Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen:
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation. - Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka:
Performance Portable Back-projection Algorithms on CPUs: Agnostic Data Locality and Vectorization Optimizations. - John Emanuello, Kimberly Ferguson-Walter, Erik Hemberg, Una-May O'Reilly, Ahmad Ridley, Dennis Ross, Diane Staheli, William W. Streilein:
Proceedings - AI/ML for Cybersecurity: Challenges, Solutions, and Novel Ideas at SIAM Data Mining 2021. - Ting-Wu Chin, Diana Marculescu, Ari S. Morcos:
Width Transfer: On the (In)variance of Width Optimization. - Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early Classification of Time Series is Meaningful. - Maurice Jakesch, Kiran Garimella, Dean Eckles, Mor Naaman:
#Trend Alert: How a Cross-Platform Organization Manipulated Twitter Trends in the Indian General Election. - J. Lowell Wofford:
Designing a scalable framework for declarative automation on distributed systems. - Dingcai Zhang, Qingqing Wu, Miao Cui, Guangchi Zhang, Dusit Niyato:
Throughput Maximization for IRS-Assisted Wireless Powered Hybrid NOMA and TDMA. - Filipe Calegario, João Tragtenberg, Giordano Cabral, Geber L. Ramalho:
Batebit Controller: Popularizing Digital Musical Instruments Development Process. - Madeleine Kotzagiannidis, Carola-Bibiane Schönlieb:
Semi-supervised Superpixel-based Multi-Feature Graph Learning for Hyperspectral Image Data. - Franz Brauße, Konstantin Korovin, Margarita V. Korovina, Norbert Th. Müller:
The ksmt calculus is a δ-complete decision procedure for non-linear constraints. - Gabriel Meseguer-Brocal
:
MULTIMODAL ANALYSIS: Informed content estimation and audio source separation. - Stefan Jaeger:
A Dual Process Model for Optimizing Cross Entropy in Neural Networks. - Luis Felipe Florenzan Reyes, Francesco Smarra, Yuriy Zacchia Lun, Alessandro D'Innocenzo:
Learning Markov models of fading channels in wireless control networks: a regression trees based approach. - Leon Bungert, Philipp Wacker:
Complete Dynamics and Spectral Decomposition of the Ensemble Kalman Inversion. - Elisa Fevola, Francesco Ballarin, Laura Jiménez-Juan, Stephen Fremes, Stefano Grivet-Talocia, Gianluigi Rozza, Piero Triverio:
An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations. - Oscar Benedito, Ricard Delgado-Gonzalo, Valerio Schiavoni:
KEVLAR-TZ: A Secure Cache for ARM TrustZone. - Luca Grementieri, Rita Fioresi:
Model-centric Data Manifold: the Data Through the Eyes of the Model. - Shirish Kumar Singh, Gail E. Kaiser:
Metamorphic Detection of Repackaged Malware. - Yixiao Ge, Ching Lam Choi, Xiao Zhang, Peipei Zhao, Feng Zhu, Rui Zhao, Hongsheng Li:
Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification. - David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna M. Wallach, Jennifer Wortman Vaughan:
A Human-Centered Interpretability Framework Based on Weight of Evidence. - Shiqi Chen, Zhengyu Chen, Donglin Wang:
Adaptive Adversarial Training for Meta Reinforcement Learning. - Francisco Ponce, Jacopo Soldani, Hernán Astudillo, Antonio Brogi:
Smells and Refactorings for Microservices Security: A Multivocal Literature Review. - Han Yu, Xinping Yi, Giuseppe Caire:
Downlink Precoding for DP-UPA FDD Massive MIMO via Multi-Dimensional Active Channel Sparsification. - Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi:
Multi-Fair Pareto Boosting. - Shivam Handa, Martin C. Rinard:
Inductive Program Synthesis over Noisy Datasets using Abstraction Refinement Based Optimization. - Kai-Hung Chang, Chin-Yi Cheng, Jieliang Luo, Shingo Murata, Mehdi Nourbakhsh, Yoshito Tsuji:
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation. - Rony Komissarov, Avishai Wool:
Spoofing Attacks Against Vehicular FMCW Radar. - Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen:
UniTE - The Best of Both Worlds: Unifying Function-Fitting and Aggregation-Based Approaches to Travel Time and Travel Speed Estimation. - Xin Sun, Zenghui Song, Yongbo Yu, Junyu Dong, Claudia Plant, Christian Böhm:
Network Embedding via Deep Prediction Model. - Paolo Pistone:
On Generalized Metric Spaces for the Simply Typed Lambda-Calculus (Extended Version). - Zhenpei Yang, Zhile Ren, Qi Shan, Qixing Huang:
MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions. - Yaodong Yu, Tianyi Lin, Eric Mazumdar, Michael I. Jordan:
Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization. - Paulo Knob, Willian S. Dias, Natanael Kuniechick, Joao Moraes, Soraia Raupp Musse:
Arthur: a new ECA that uses Memory to improve Communication. - Rodrigo Mira, Konstantinos Vougioukas, Pingchuan Ma, Stavros Petridis, Björn W. Schuller, Maja Pantic:
End-to-End Video-To-Speech Synthesis using Generative Adversarial Networks. - Zhaofeng Liu, Wenlian Lu, Yingying Lang:
An Event-based Parameter Switching Method for Controlling Cybersecurity Dynamics. - Franco Pellegrini, Giulio Biroli:
Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones? - Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov:
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. - Ajay Agarwal:
Tracking Peaceful Tractors on Social Media - XAI-enabled analysis of Red Fort Riots 2021. - Martín Zumaya, Rita Guerrero, Eduardo Islas, Omar K. Pineda, Carlos Gershenson, Gerardo Iñiguez, Carlos Pineda:
Identifying tax evasion in Mexico with tools from network science and machine learning. - Abigail Mabe:
A Chromium-based Memento-aware Web Browser. - Arka Ray
:
There is no APTAS for 2-dimensional vector bin packing: Revisited. - Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte:
NTIRE 2021 Depth Guided Image Relighting Challenge. - Junzhe Zhang, Xinyi Chen, Zhongang Cai, Liang Pan, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Bo Dai, Chen Change Loy:
Unsupervised 3D Shape Completion through GAN Inversion. - Thomas Varley, Erik Hoel:
Emergence as the conversion of information: A unifying theory. - Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri:
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. - Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy:
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment. - Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, Peter L. McMahon:
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems. - Christos Sakaridis, Dengxin Dai, Luc Van Gool:
ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. - Dominik Dold, Josep Soler Garrido:
SpikE: spike-based embeddings for multi-relational graph data. - Amir Ghodrati, Babak Ehteshami Bejnordi, Amirhossein Habibian:
FrameExit: Conditional Early Exiting for Efficient Video Recognition. - Saurav Sahay, Eda Okur, Nagib Hakim, Lama Nachman:
Semi-supervised Interactive Intent Labeling. - Semin Kwak, Nikolas Geroliminis, Pascal Frossard:
Predicting traffic signals on transportation networks using spatio-temporal correlations on graphs. - Iñigo Alonso, Alberto Sabater, David Ferstl, Luis Montesano, Ana C. Murillo:
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank. - Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin:
Towards Fair Federated Learning with Zero-Shot Data Augmentation. - Stefan Zetzsche
, Gerco van Heerdt, Alexandra Silva, Matteo Sammartino:
Canonical automata via distributive law homomorphisms. 296-313 - Nemanja Rakicevic, Antoine Cully, Petar Kormushev:
Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution. - Andreas Grammenos, Evangelia Kalyvianaki, Peter R. Pietzuch:
Pronto: Federated Task Scheduling. - Siyuan Xiang, Anbang Yang, Yanfei Xue, Yaoqing Yang, Chen Feng:
Contrastive Spatial Reasoning on Multi-View Line Drawings. - Abdulrazaq Abba, Ana Cavalcanti, Jeremy Jacob:
Temporal Reasoning Through Automatic Translation of tock-CSP into Timed Automata. - Fernando Kamei, Igor Wiese, Crescencio Lima, Ivanilton Polato, Vilmar Nepomuceno, Waldemar Ferreira, Márcio Ribeiro, Carolline Pena, Bruno Cartaxo, Gustavo Pinto, Sérgio Soares:
Grey Literature in Software Engineering: A Critical Review. - Cécile Haberstich, Anthony Nouy, Guillaume Perrin
:
Active learning of tree tensor networks using optimal least-squares. - Murat Tulgaç, Enes Yüncü, Mohamad Alhaddad, Ceylan Yozgatligil:
Incident Detection on Junctions Using Image Processing. - Reetam Sen Biswas, Anamitra Pal, Trevor Werho, Vijay Vittal:
Mitigation of Saturated Cut-sets During Multiple Outages to Enhance Power System Security. - Bozhidar Vasilev, Tarun Gupta, Bei Peng, Shimon Whiteson:
Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients. - Ernesto G. Birgin, John Lenon Cardoso Gardenghi, Diaulas S. Marcondes, José Mario Martínez:
Accelerated derivative-free spectral residual method for nonlinear systems of equations. - Elvis Nunez, Andrew Lizarraga, Shantanu H. Joshi:
SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Shape Alignment. - Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang:
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. - Zeyang Liu, Ke Zhou, Max L. Wilson:
Meta-evaluation of Conversational Search Evaluation Metrics. - Jian Wang, Lingjie Liu, Weipeng Xu, Kripasindhu Sarkar, Christian Theobalt:
Estimating Egocentric 3D Human Pose in Global Space. - Pawel Rychlikowski, Bartlomiej Najdecki, Adrian Lancucki, Adam Kaczmarek:
Named Entity Recognition and Linking Augmented with Large-Scale Structured Data. - J. Ian Munro, Patrick K. Nicholson, Louisa Seelbach Benkner, Sebastian Wild:
Hypersuccinct Trees - New universal tree source codes for optimal compressed tree data structures. - Héctor Ramírez, Yann Le Gorrec, Bernhard Maschke:
Boundary controlled irreversible port-Hamiltonian systems. - Rui Yao, Shlomo Bekhor:
A ridesharing simulation platform that considers dynamic supply-demand interactions. - Allan Patrick Cordeiro Dias, Jorge L. Suzuki, Gilberto Luis Valente, Marco L. Bittencourt:
Simulation of non-linear structural elastodynamic and impact problems using minimum energy and simultaneous diagonalization high-order bases. - Aviv Keren:
The Role of General Intelligence in Mathematical Reasoning. - George Awad, Asad A. Butt, Keith Curtis, Jonathan G. Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas L. Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quénot:
TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains. - Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar Velickovic:
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges. - Sorena Sarmadi, James J. Winkle, Razan N. Alnahhas, Matthew R. Bennett, Kresimir Josic, Andreas Mang, Robert Azencott:
Stochastic Neural Networks for Automatic Cell Tracking in Microscopy Image Sequences of Bacterial Colonies. - Markus Bachmayr, Michael Götte, Max Pfeffer:
Particle Number Conservation and Block Structures in Matrix Product States. - Mahmoud Hossam, Trung Le, He Zhao, Viet Huynh, Dinh Phung:
Improved and Efficient Text Adversarial Attacks using Target Information. - Youshan Zhang, Brian D. Davison:
Efficient Pre-trained Features and Recurrent Pseudo-Labeling inUnsupervised Domain Adaptation. - Mahmoud Hossam, Trung Le, Michael Papasimeon, Viet Huynh, Dinh Phung:
Text Generation with Deep Variational GAN. - Carlos Borges, Manas Rachh:
Multifrequency inverse obstacle scattering with unknown impedance boundary conditions using recursive linearization. - Galen Weld, Ellyn Ayton, Tim Althoff, Maria Glenski:
Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models. - John Y. Shin, Prathamesh Dharangutte:
An Energy-Based View of Graph Neural Networks. - Yantong Wang, Vasilis Friderikos:
Energy-Efficient Proactive Caching with Multipath Routing. - Haotian Yan, Zhe Li, Weijian Li, Changhu Wang, Ming Wu, Chuang Zhang:
ConTNet: Why not use convolution and transformer at the same time? - Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani, Feng Nan, Philip Resnik, Douglas W. Oard, Parminder Bhatia:
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes. - Sima Hajiaghaei Shanjani, Valerie King:
Communication Costs in a Geometric Communication Network. - Umar Iqbal, Kevin Xie, Yunrong Guo, Jan Kautz, Pavlo Molchanov:
KAMA: 3D Keypoint Aware Body Mesh Articulation. - Kevin Kim, Alex Gittens:
Learning Fair Canonical Polyadical Decompositions using a Kernel Independence Criterion. - Julian D. Cortes
:
Top-tier and predatory alike? A lexical structure perspective from the Academy of Management Journal and Espacios. - Brooke Krajancich, Petr Kellnhofer, Gordon Wetzstein:
A Perceptual Model for Eccentricity-dependent Spatio-temporal Flicker Fusion and its Applications to Foveated Graphics. - Brian Okorn, Qiao Gu, Martial Hebert, David Held:
ZePHyR: Zero-shot Pose Hypothesis Rating. - Ruojin Cai, Bharath Hariharan, Noah Snavely, Hadar Averbuch-Elor:
Extreme Rotation Estimation using Dense Correlation Volumes. - Ying Xin, Guanzhong Wang, Mingyuan Mao, Yuan Feng, Qingqing Dang, Yanjun Ma, Errui Ding, Shumin Han:
PAFNet: An Efficient Anchor-Free Object Detector Guidance. - Shixing Chen, Xiaohan Nie, David Fan, Dongqing Zhang, Vimal Bhat, Raffay Hamid:
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection. - Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann:
Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem. - Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots:
Fast Joint Space Model-Predictive Control for Reactive Manipulation. - Yangguang Tian, Bowen Liu, Yingjiu Li, Pawel Szalachowski, Jianying Zhou:
Accountable Fine-grained Blockchain Rewriting in the Permissionless Setting. - Yizhong Sun, Feng Shi, Haibiao Zheng, Heng Li, Fan Wang:
Two-Grid Domain Decomposition Methods for the Coupled Stokes-Darcy System. - Lincoln N. Collins, Scott A. Roberts:
Mesoscale simulation of woven composite design decisions. - Alireza Vahid:
Topological Content Delivery with Feedback and Random Receiver Cache. - Tariq Alhindi, Amal Alabdulkarim, Ali Alshehri, Muhammad Abdul-Mageed, Preslav Nakov:
AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking. - Seunghyun Lee, Byung Cheol Song:
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network. - Julian Knodt, Seung-Hwan Baek, Felix Heide:
Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and View Synthesis. - Youngtaek Kim, Hyeon Jeon, Kiroong Choe, Hyunjoo Song, Bo Hyoung Kim, Jinwook Seo:
Interactive Visualization for Exploring Information Fragments in Software Repositories. - Karl Schlechta:
Truth and Knowledge. - Phillip B. Oni, Steven D. Blostein:
Joint AP Association and PCS Threshold Selection in Dense Full-duplex Wireless Networks. - Markus Schröder, Christian Jilek, Andreas Dengel:
Dataset Generation Patterns for Evaluating Knowledge Graph Construction. - Bo Li, Wei Ye, Canming Huang, Shikun Zhang:
Multi-view Inference for Relation Extraction with Uncertain Knowledge. - Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan:
Deep Domain Generalization with Feature-norm Network. - Sunnie S. Y. Kim, Sharon Zhang, Nicole Meister, Olga Russakovsky:
[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. - Vivek Chaudhary, Harshan Jagadeesh:
Non-Coherent Fast-Forward Relays for Full-Duplex Jamming Attack. - Haodong Duan
, Yue Zhao, Kai Chen, Dian Shao, Dahua Lin, Bo Dai:
Revisiting Skeleton-based Action Recognition. - Kazuki Shibata, Tatsuya Miyano, Tomohiko Jimbo:
Development of global optimal coverage control using multiple aerial robots. - Kavan Sedighiani, Saeed Shokrollahi, Fereidoon Shams:
BASBA: a framework for Building Adaptable Service-Based Applications. - Markus Schröder, Christian Jilek, Andreas Dengel:
Mapping Spreadsheets to RDF: Supporting Excel in RML. - Yongjie Zhu, Jiajun Tang, Si Li, Boxin Shi:
DeRenderNet: Intrinsic Image Decomposition of Urban Scenes with Shape-(In)dependent Shading Rendering. - Christel Baier, Florian Funke, Simon Jantsch, Jakob Piribauer, Robin Ziemek:
Probabilistic causes in Markov chains. - Markus Schröder, Christian Jilek, Andreas Dengel:
A Linked Data Application Framework to Enable Rapid Prototyping. - Qin Wang, Dengxin Dai, Lukas Hoyer, Olga Fink, Luc Van Gool:
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. - Zhuoyun Li, Changhong Zhong, Sijia Liu, Ruixuan Wang, Wei-Shi Zheng:
Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors. - Minjin Choi, Sunkyung Lee, Eunseong Choi, Heesoo Park, Junhyuk Lee, Dongwon Lee, Jongwuk Lee:
MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories. - Alessandro Paolo Capasso, Paolo Maramotti, Anthony Dell'Eva, Alberto Broggi:
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning. - Gergely Hajgató, Bálint Gyires-Tóth, György Paál:
Reconstructing nodal pressures in water distribution systems with graph neural networks. - Antonio Ginart, Martin Jinye Zhang, James Zou:
MLDemon: Deployment Monitoring for Machine Learning Systems. - Xiangfei Zhang, Yong Niu, Shiwen Mao, Yunlong Cai, Ruisi He, Bo Ai, Zhangdui Zhong, Yiru Liu:
Resource Allocation for Millimeter-Wave Train-Ground Communications in High-Speed Railway Scenarios. - Daniele Boffi
, Lucia Gastaldi:
Existence, uniqueness, and approximation of a fictitious domain formulation for fluid-structure interactions. - Yuan Cao, Quanquan Gu, Mikhail Belkin:
Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures. - Lorenzo Rapetti, Yeshasvi Tirupachuri, Alberto Ranavolo, Tomohiro Kawakami, Takahide Yoshiike, Daniele Pucci:
Shared Control of Robot-Robot Collaborative Lifting with Agent Postural and Force Ergonomic Optimization. - Eunji Jun, Seungwoo Jeong, Da-Woon Heo, Heung-Il Suk:
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis. - Hassan N. Noura, Ola Salman, Raphaël Couturier, Abderrahmane Sider:
A Deep Learning Object Detection Method for an Efficient Clusters Initialization. - Marc Holfelder, Lena Mulansky, Winfried Schlee, Harald Baumeister, Johannes Schobel, Helmut Greger, Andreas Hoff, Rüdiger Pryss:
Medical device regulation efforts for mHealth apps - An experience report of Corona Check and Corona Health. - Xian-Feng Han, Yu-Jia Kuang, Guo-Qiang Xiao:
Point Cloud Learning with Transformer. - Manu Joseph:
PyTorch Tabular: A Framework for Deep Learning with Tabular Data. - Navid Rekabsaz, Simone Kopeinik, Markus Schedl:
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers. - Mikolaj Wieczorek, Barbara Rychalska, Jacek Dabrowski:
On the Unreasonable Effectiveness of Centroids in Image Retrieval. - Christoph Wernhard, Wolfgang Bibel:
Learning from Łukasiewicz and Meredith: Investigations into Proof Structures (Extended Version). - Fei Chen, Xiaodong Wang:
Two stages for visual object tracking. - Domenico Cotroneo, Luigi De Simone, Roberto Natella:
Timing Covert Channel Analysis of the VxWorks MILS Embedded Hypervisor under the Common Criteria Security Certification. - Lucas Theis, Aaron B. Wagner:
A coding theorem for the rate-distortion-perception function. - Wei An, Muriel Médard, Ken R. Duffy:
CRC Codes as Error Correction Codes. - Weinan Guan, Wei Wang, Jing Dong, Bo Peng, Tieniu Tan:
Robust Face-Swap Detection Based on 3D Facial Shape Information. - Mengqiao Zhao, Andre G. Hochuli, Abbas Cheddad:
End-to-End Approach for Recognition of Historical Digit Strings. - Shuaifei Chen, Jiayi Zhang, Jing Zhang, Emil Björnson, Bo Ai:
A Survey on User-Centric Cell-Free Massive MIMO Systems. - Pritam Majumder, Jiayi Huang, Sungkeun Kim, Abdullah Muzahid, Dylan Siegers, Chia-Che Tsai, Eun Jung Kim:
Continual Learning Approach for Improving the Data and Computation Mapping in Near-Memory Processing System. - Ruijun Gao, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng:
AdvHaze: Adversarial Haze Attack. - M. Clarence Protin, Gilda Ferreira:
Typability and Type Inference in Atomic Polymorphism. - Daxin Nie, Weihua Deng:
A unified convergence analysis for the fractional diffusion equation driven by fractional Gaussion noise with Hurst index H∈(0, 1). - Gabriel Istrate, Cosmin Bonchis, Adrian Craciun:
Kernelization, Proof Complexity and Social Choice. - Bumsoo Kim, Junhyun Lee, Jaewoo Kang, Eun-Sol Kim, Hyunwoo J. Kim:
HOTR: End-to-End Human-Object Interaction Detection with Transformers. - José P. González-Coma, Francisco Javier López-Martínez, Luis Castedo:
Low-Complexity Distance-Based Scheduling for Multi-User XL-MIMO Systems. - Emily Öhman
:
SELF & FEIL: Emotion and Intensity Lexicons for Finnish. - Gaël Poux-Médard, Julien Velcin, Sabine Loudcher:
Information Interaction Profile of Choice Adoption. - Frédéric Schmidt, Stephen G. MacDonell, Andy M. Connor:
Multi-Objective Reconstruction Of Software Architecture. - Jack W. Barker, Toby P. Breckon:
PANDA : Perceptually Aware Neural Detection of Anomalies. - Oussema Bouafif, Bogdan Khomutenko, Mohamed Daoudi:
Hybrid Approach for 3D Head Reconstruction: Using Neural Networks and Visual Geometry. - Yao-Hung Hubert Tsai, Shaojie Bai, Louis-Philippe Morency, Ruslan Salakhutdinov:
A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning. - Miikka Kuutila, Mika Mäntylä, Maëlick Claes, Marko Elovainio, Bram Adams:
Individual Differences Limit Predicting Well-being and Productivity Using Software Repositories: A Longitudinal Industrial Study. - Radoslaw Martin Cichy, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, P. Iamshchinina, Monika Graumann, Alex Andonian, N. A. R. Murty, K. Kay, Gemma Roig, Aude Oliva:
The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion. - Jie Chen, Shouzhen Chen, Mingyuan Bai, Jian Pu, Junping Zhang, Junbin Gao:
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification. - Huaxin Pei, Yuxiao Zhang, Yi Zhang, Shuo Feng:
Optimal Cooperative Driving at Signal-Free Intersections with Polynomial-Time Complexity. - Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan:
Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks. - Songlin Yang, Yanpeng Zhao, Kewei Tu:
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols. - Sangeeth Kochanthara, Niels Rood, Arash Khabbaz Saberi, Loek Cleophas, Yanja Dajsuren, Mark van den Brand:
A Functional Safety Assessment Method for Cooperative Automotive Architecture. - Irina V. Limonova:
On exact discretization of the L2-norm with a negative weight. - Alexander Brauckmann, Andrés Goens, Jerónimo Castrillón:
A Reinforcement Learning Environment for Polyhedral Optimizations. - Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela:
Gradient-based Adversarial Attacks against Text Transformers. - Gianluca Curzi:
Linear Additives. 74-93 - Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Joost van de Weijer:
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. - Manyu Zhu, Dongliang He, Xin Li, Chao Li, Fu Li, Xiao Liu, Errui Ding, Zhaoxiang Zhang:
Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness. - Ana Claudia Sima, Tarcisio Mendes de Farias, Maria Anisimova, Christophe Dessimoz, Marc Robinson-Rechavi, Erich Zbinden, Kurt Stockinger:
Bio-SODA: Enabling Natural Language Question Answering over Knowledge Graphs without Training Data. - Matthias Springstein, Eric Müller-Budack, Ralph Ewerth:
QuTI! Quantifying Text-Image Consistency in Multimodal Documents. - Toni Sayah:
A posteriori error estimates for the Brinkman-Darcy-Forchheimer problem. - Alexander Dunlap, Jean-Christophe Mourrat:
Sum-of-norms clustering does not separate nearby balls. - Taha Yasseri, Filippo Menczer:
Can the Wikipedia moderation model rescue the social marketplace of ideas? - Hsueh-Ti Derek Liu, Jiayi Eris Zhang, Mirela Ben-Chen, Alec Jacobson:
Surface Multigrid via Intrinsic Prolongation. - Anand Radhakrishnan, Michael Xu, Shantanu Shahane, Surya Pratap Vanka:
A Non-Nested Multilevel Method for Meshless Solution of the Poisson Equation in Heat Transfer and Fluid Flow. - Xin Yi, Jiahao Wu, Bo Ma, Yangtong Ou, Longyao Liu:
MOD: Benchmark for Military Object Detection. - Masato Tamura, Tomoaki Yoshinaga:
Segmentation-Based Bounding Box Generation for Omnidirectional Pedestrian Detection. - Pedro Díez, Alba Muixí
, Sergio Zlotnik, Alberto García-González:
Nonlinear dimensionality reduction for parametric problems: a kernel Proper Orthogonal Decomposition (kPOD). - Yingyi Chen, Xi Shen, Shell Xu Hu, Johan A. K. Suykens:
Boosting Co-teaching with Compression Regularization for Label Noise. - Qi Xuan, Jinchao Zhou, Kunfeng Qiu, Dongwei Xu, Shilian Zheng, Xiaoniu Yang:
CLPVG: Circular limited penetrable visibility graph as a new network model for time series. - Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pose-driven Attention-guided Image Generation for Person Re-Identification. - Yimeng Zhao, Ahmed Saeed, Mostafa H. Ammar, Ellen W. Zegura:
Scouting the Path to a Million-Client Server. - Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification. - Jun Kurihara, Takeshi Kubo:
Mutualized oblivious DNS (μODNS): Hiding a tree in the wild forest. - Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Xin Liu:
FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity. - Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Rule-based Shielding for Partially Observable Monte-Carlo Planning. - Lawrence C. Paulson:
A Mechanised Proof of Gödel's Incompleteness Theorems using Nominal Isabelle. - Georg Gottlob, Matthias Lanzinger, Cem Okulmus, Reinhard Pichler:
Fast Parallel Hypertree Decompositions in Logarithmic Recursion Depth. - Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, Sourangshu Bhattacharya:
Finding High-Value Training Data Subset through Differentiable Convex Programming. - Beniamino Accattoli, Ugo Dal Lago, Gabriele Vanoni:
The Space of Interaction (long version). - Yuan Liao, Vasilis Friderikos:
Trajectory Design in Rechargeable UAV Aided Wireless Networks: A Unified Framework for Energy Efficiency and Flight Time Minimization. - Frank Nielsen:
The dually flat information geometry of the mixture family of two prescribed Cauchy components. - Ying Qiu, Vítor Albiero, Michael C. King, Kevin W. Bowyer:
Does Face Recognition Error Echo Gender Classification Error? - Luca Coradello, Josef Kiendl, Annalisa Buffa:
Coupling of non-conforming trimmed isogeometric Kirchhoff-Love shells via a projected super-penalty approach. - Mirko Zichichi, Stefano Ferretti, Gabriele D'Angelo:
MOVO: a dApp for DLT-based Smart Mobility. - Andrea W. Wang, Jo-Yu Lan, Chihhao Yu, Ming-Hung Wang:
The Evolution of Rumors on a Closed Platform during COVID-19. - Katrin Renz, Nicolaj C. Stache, Neil Fox, Gül Varol, Samuel Albanie:
Sign Segmentation with Changepoint-Modulated Pseudo-Labelling. - (Withdrawn) NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization.
- Mirko Zichichi, Luca Serena, Stefano Ferretti, Gabriele D'Angelo:
Towards Decentralized Complex Queries over Distributed Ledgers: a Data Marketplace Use-case. - Natascha Mariacher, Stephan Schlögl, Alexander Monz:
Investigating Perceptions of Social Intelligence in Simulated Human-Chatbot Interactions. - Michail Tarasiou, Stefanos Zafeiriou:
DeepSatData: Building large scale datasets of satellite images for training machine learning models. - Lucia Nasti, Roberta Gori, Paolo Milazzo:
Formal characterization and efficient verification of a biological robustness property. - Luisa Brinkschulte, Natascha Mariacher, Stephan Schlögl, María Inés Torres, Raquel Justo, Javier Mikel Olaso, Anna Esposito, Gennaro Cordasco, Gérard Chollet, Cornelius Glackin, Colin Pickard, Dijana Petrovska-Delacrétaz, Mohamed Amine Hmani, Aymen Mtibaa, Anaïs Fernández, Daria Kyslitska, Begoña Fernández-Ruanova, Jofre Tenorio-Laranga, Mari Aksnes, Maria Stylianou Korsnes, Miriam Reiner, Fredrik Lindner, Olivier Deroo, Olga Gordeeva:
The EMPATHIC Project: Building an Expressive, Advanced Virtual Coach to Improve Independent Healthy-Life-Years of the Elderly. - Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen:
Twins: Revisiting Spatial Attention Design in Vision Transformers. - Malte Ostendorff, Elliott Ash, Terry Ruas, Bela Gipp, Julián Moreno Schneider, Georg Rehm:
Evaluating Document Representations for Content-based Legal Literature Recommendations. - Andrew Patterson, Adam White, Sina Ghiassian, Martha White:
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning. - Robin Eßmann, Tobias Nipkow, Simon Robillard:
Verified Approximation Algorithms. - Carl R. Andersson, Niklas Wahlström, Thomas B. Schön:
Learning deep autoregressive models for hierarchical data. - Minhaj Uddin Ansari, Talha Bilal, Naeem Akhter:
D-OccNet: Detailed 3D Reconstruction Using Cross-Domain Learning. - Michal Debski, Marta Piecyk, Pawel Rzazewski:
Faster 3-coloring of small-diameter graphs. - Wojciech Czerwinski, Lukasz Orlikowski:
Reachability in Vector Addition Systems is Ackermann-complete. - Fengjun Yang, Nikolai Matni:
Communication Topology Co-Design in Graph Recurrent Neural Network Based Distributed Control. - Francisco Romero, Gohar Irfan Chaudhry, Iñigo Goiri, Pragna Gopa, Paul Batum, Neeraja J. Yadwadkar, Rodrigo Fonseca, Christos Kozyrakis, Ricardo Bianchini:
Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications. - Ukyo Honda, Yoshitaka Ushiku, Atsushi Hashimoto, Taro Watanabe, Yuji Matsumoto:
Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning. - Haochuan Shi, Adnan Aijaz, Nan Jiang:
Evaluating the Performance of Over-the-Air Time Synchronization for 5G and TSN Integration. - David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool:
Exploring Relational Context for Multi-Task Dense Prediction. - Li Yang, Yan Xu, Shaoru Wang, Chunfeng Yuan, Ziqi Zhang, Bing Li, Weiming Hu:
PDNet: Towards Better One-stage Object Detection with Prediction Decoupling. - Michael R. Zhang, Tom Le Paine, Ofir Nachum, Cosmin Paduraru, George Tucker, Ziyu Wang, Mohammad Norouzi:
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization. - Guosheng Fu, Wenzheng Kuang
:
Uniform block diagonal preconditioners for divergence-conforming HDG Methods for the generalized Stokes problem and linear elasticity. - Alexander Kozachinskiy:
One-to-Two-Player Lifting for Mildly Growing Memory. - Arash Tavakoli, Shashwat Kumar, Mehdi Boukhechba, Arsalan Heydarian:
Driver State and Behavior Detection Through Smart Wearables. - Chen-Hao Chang, Jonathan Casas, Victor H. Duenas:
Closed-loop Control Design and Motor Allocation for a Lower-limb Cable-driven Exoskeleton: A Switched Systems Approach. - Mustapha Saidallah
, Fatimazahra Taki, Abdelbaki El Belrhiti El Alaoui, Abdeslam El Fergougui:
Classification and comparison of license plates localization algorithms. - Jonathan Pirnay, Keng Chai:
Inpainting Transformer for Anomaly Detection. - Luke Lozenski, Umberto Villa:
Consensus ADMM for Inverse Problems Governed by Multiple PDE Models. - Alex Devonport, Adnane Saoud, Murat Arcak:
Symbolic Abstractions From Data: A PAC Learning Approach. - Alex Devonport, Forest Yang, Laurent El Ghaoui, Murat Arcak:
Data-Driven Reachability Analysis with Christoffel Functions. - Hengjie Yang, Ethan Liang, Minghao Pan, Richard D. Wesel:
CRC-Aided List Decoding of Convolutional Codes in the Short Blocklength Regime. - W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone:
Reward (Mis)design for Autonomous Driving. - Trevor Ablett, Yifan Zhai, Jonathan Kelly:
Seeing All the Angles: Learning Multiview Manipulation Policies for Contact-Rich Tasks from Demonstrations. - Zhigang Chu, Andrea Pinceti, Ramin Kaviani, Roozbeh Khodadadeh, Xingpeng Li, Jiazi Zhang, Karthik Saikumar, Mostafa Sahraei-Ardakani, Christopher Mosier, Robin Podmore, Kory W. Hedman, Oliver Kosut, Lalitha Sankar:
A Verifiable Framework for Cyber-Physical Attacks and Countermeasures in a Resilient Electric Power Grid. - Peng Su, Yifan Peng, K. Vijay-Shanker:
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction. - Krzysztof Maziarz, Anna Krason, Zbigniew Wojna:
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays. - Yi Zhang, Geng Chen, Qian Chen, Yujia Sun, Olivier Déforges, Wassim Hamidouche, Lu Zhang:
Learning Synergistic Attention for Light Field Salient Object Detection. - Haofei Xu, Jiaolong Yang, Jianfei Cai, Juyong Zhang, Xin Tong:
High-Resolution Optical Flow from 1D Attention and Correlation. - Christoph Knieke, Andreas Rausch, Mirco Schindler:
Tackling Software Architecture Erosion: Joint Architecture and Implementation Repairing by a Knowledge-based Approach. - Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui:
Zero-Shot Detection via Vision and Language Knowledge Distillation. - Dejan Stepec, Tomaz Martincic, Danijel Skocaj:
Automated System for Ship Detection from Medium Resolution Satellite Optical Imagery. - Tianze Shi, Ozan Irsoy, Igor Malioutov, Lillian Lee:
Learning Syntax from Naturally-Occurring Bracketings. - Tianze Shi, Adrian Benton, Igor Malioutov, Ozan Irsoy:
Diversity-Aware Batch Active Learning for Dependency Parsing. - Manolis Antonoyiannakis
:
Does Publicity in the Science Press Drive Citations? - Haoyue Bai, S.-H. Gary Chan:
Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting. - Lars Diening
, Johannes Storn
, Tabea Tscherpel
:
Fortin Operator for the Taylor-Hood Element. - Sourav Dutta
, Peter Rivera-Casillas, Matthew W. Farthing:
Neural Ordinary Differential Equations for Data-Driven Reduced Order Modeling of Environmental Hydrodynamics. - Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat:
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. - Sidra Malik, Volkan Dedeoglu, Salil S. Kanhere, Raja Jurdak:
PrivChain: Provenance and Privacy Preservation in Blockchain enabled Supply Chains. - Gurpreet Singh, Soumyajit Gupta:
Tail-Net: Extracting Lowest Singular Triplets for Big Data Applications. - Jan Petrich, Ryan Sander
, Eliza Bradley, Adam Dawood, Shawn Hough:
On the Importance of 3D Surface Information for Remote Sensing Classification Tasks. - Ryosuke Motegi, Yoichi Seki:
SMLSOM: The shrinking maximum likelihood self-organizing map. - Farooq Hoseiny, Sadoon Azizi, Mohammad Shojafar, Rahim Tafazolli:
Joint QoS-aware and Cost-efficient Task Scheduling for Fog-Cloud Resources in a Volunteer Computing System. - Beniamino Accattoli, Giulio Guerrieri, Maico Leberle:
Semantic Bounds and Strong Call-by-Value Normalization. - Karina Kohl, Rafael Prikladnicki:
Challenges Women in Software Engineering Leadership Roles Face: A Qualitative Study. - Prasanna Date
, Catherine D. Schuman, Bill Kay, Thomas E. Potok:
Neuromorphic Computing is Turing-Complete. - Sara Nilsson Tengstrand, Piotr Tomaszewski, Markus Borg, Ronald Jabangwe:
Challenges of Adopting SAFe in the Banking Industry - A Study Two Years after its Introduction. - Ramon Izquierdo-Cordova, Walterio W. Mayol-Cuevas:
Filter Distribution Templates in Convolutional Networks for Image Classification Tasks. - Sheng-Chun Kao, Tushar Krishna:
Domain-specific Genetic Algorithm for Multi-tenant DNNAccelerator Scheduling. - Azad Ghaffari, Seyed Amir Hosseini Dastja:
Safety-Augmented Operation of Mobile Robots Using Variable Structure Control. - Andrew Clark:
Verification and Synthesis of Control Barrier Functions. - Christos Kyrkou, Theocharis Theocharides:
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion. - Simone Felicioni, Mariella Dimiccoli:
Interaction-GCN: a Graph Convolutional Network based framework for social interaction recognition in egocentric videos. - Zehui Chen, Lara Dolecek:
Channel Models and Coding Solutions for 1S1R Crossbar Resistive Memory with High Line Resistance. - William Blanzeisky, Pádraig Cunningham
:
Algorithmic Factors Influencing Bias in Machine Learning. - Maha Aldosary, Norah Alqahtani:
Federated Identity Management (FIdM) Systems Limitation And Solutions. - Gaëtan Douéneau-Tabot:
Pebble transducers with unary output. - Jan Baumeister, Norine Coenen, Borzoo Bonakdarpour, Bernd Finkbeiner, César Sánchez:
A Temporal Logic for Asynchronous Hyperproperties. - Ryan Budahazy, Lu Cheng, Yihuan Huang, Andrew Johnson, Pengyu Li, Joshua Vendrow, Zhoutong Wu, Denali Molitor, Elizaveta Rebrova, Deanna Needell:
Analysis of Legal Documents via Non-negative Matrix Factorization Methods. - Krishanu Sarker, Sharbani Pandit, Anupam Sarker, Saeid Belkasim, Shihao Ji:
Reducing Risk and Uncertainty of Deep Neural Networks on Diagnosing COVID-19 Infection. - Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamás G. Molnár, Katherine L. Bouman, Aaron D. Ames:
Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State. - Can Yaris, Bohao Huang, Kyle Bradbury, Jordan M. Malof:
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery. - Anirbit Mukherjee:
A Study of the Mathematics of Deep Learning. - Gabriel F. Barros, Malú Grave, Alex Viguerie, Alessandro Reali, Alvaro L. G. A. Coutinho:
Dynamic Mode Decomposition in Adaptive Mesh Refinement and Coarsening Simulations. - Kuo-Hao Zeng, Luca Weihs, Ali Farhadi, Roozbeh Mottaghi:
Pushing it out of the Way: Interactive Visual Navigation. - Dhruv Patel, Alexander C. Nwala, Michael L. Nelson, Michele C. Weigle:
What Did It Look Like: A service for creating website timelapses using the Memento framework. - Mahesh M. Dhananjaya, Varun Ravi Kumar, Senthil Kumar Yogamani:
Weather and Light Level Classification for Autonomous Driving: Dataset, Baseline and Active Learning. - Kayvan Miri Lavassani, Zachary M. Boyd, Bahar Movahedi:
Ten-tier and multi-scale supplychain network analysis of medical equipment: Random failure and intelligent attack analysis. - Alessandro Salatiello, Martin A. Giese:
Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses. - Ahmed Ali-Eldin, Bin Wang, Prashant J. Shenoy:
The Hidden cost of the Edge: A Performance Comparison of Edge and Cloud Latencies. - Lixiu Dong, Cheng Wang, Steven M. Wise, Zhengru Zhang:
A positivity-preserving, energy stable scheme for a Ternary Cahn-Hilliard system with the singular interfacial parameters. - Safa Omri, Carsten Sinz:
Machine Learning Techniques for Software Quality Assurance: A Survey. - Yunxiang Zhao, Jianzhong Qi
, Qingwei Liu, Rui Zhang:
WGCN: Graph Convolutional Networks with Weighted Structural Features. - Amaael Antonini, Rita Gimelshein, Richard D. Wesel:
Causal (Progressive) Encoding over BinarySymmetric Channels with Noiseless Feedback. - Yang Yang, Min Li, Bo Meng, Zihao Huang, Junxing Ren, Degang Sun:
EPP-Net: Extreme-Point-Prediction-Based Object Detection. - Gianni Fenu, Giacomo Medda
, Mirko Marras, Giacomo Meloni:
Improving Fairness in Speaker Recognition. - Renjie Li, Xinyi Wang, Katherine Lawler, Saurabh Garg, Quan Bai, Jane E. Alty
:
Applications of Artificial Intelligence to aid detection of dementia: a narrative review on current capabilities and future directions. - Kelly W. Zhang, Lucas Janson, Susan A. Murphy:
Statistical Inference with M-Estimators on Bandit Data. - Mohamed Hasan, Albert Solernou, Evangelos Paschalidis, He Wang, Gustav Markkula, Richard Romano:
Maneuver-Aware Pooling for Vehicle Trajectory Prediction. - Chen Qian, Yongchun Fang:
Invariance and Contraction in Geometrically Periodic Systems with Differential Inclusions. - Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi:
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. - Jungin Park, Jiyoung Lee, Kwanghoon Sohn:
Bridge to Answer: Structure-aware Graph Interaction Network for Video Question Answering. - Chen Feng, Jiahui Sun, Luiyi Fu:
Will the Winner Take All? Competing Influences in Social Networks Under Information Overload. - Bin Wang, Ahmed Ali-Eldin, Prashant J. Shenoy:
LaSS: Running Latency Sensitive Serverless Computations at the Edge. - Yunkai Wei, Zixian An, Supeng Leng, Kun Yang:
Connecting AI Learning and Blockchain Mining in 6G Systems. - Ronal Singh, Tim Miller, Darryn Reid:
Collaborative Human-Agent Planning for Resilience. - Howard Heaton, Samy Wu Fung, Aviv Gibali, Wotao Yin:
Feasibility-based Fixed Point Networks. - Farzaneh Derakhshan, Stephanie Balzer, Limin Jia
:
Session Logical Relations for Noninterference. - Vishesh Agarwal, Somak Aditya, Navin Goyal:
Analyzing the Nuances of Transformers' Polynomial Simplification Abilities. - Preey Shah, Aman Bansal, S. Akshay, Supratik Chakraborty:
A Normal Form Characterization for Efficient Boolean Skolem Function Synthesis. - Jonathan Lacotte, Mert Pilanci:
Fast Convex Quadratic Optimization Solvers with Adaptive Sketching-based Preconditioners. - Shravan Murlidaran, William Yang Wang, Miguel P. Eckstein:
Comparing Visual Reasoning in Humans and AI. - Jacob Hartzer, Srikanth Saripalli:
AutoCone: An OmniDirectional Robot for Lane-Level Cone Placement. - Jacob Hartzer, Srikanth Saripalli:
Vehicular Teamwork: Collaborative localization of Autonomous Vehicles. - Jingkai Zhou, Varun Jampani, Zhixiong Pi, Qiong Liu, Ming-Hsuan Yang:
Decoupled Dynamic Filter Networks. - Cong Wang, Fan Tang, Yong Zhang, Weiming Dong, Tieru Wu:
Towards Harmonized Regional Style Transfer and Manipulation for Facial Images. - Ivan J. Jureta:
Requirements Contracts: Definition, Design, and Analysis. - Manuel Wüthrich, Bernhard Schölkopf, Andreas Krause:
Regret Bounds for Gaussian-Process Optimization in Large Domains. - Wumei Du, Zheng Xie, Yiqin Lv:
Predicting publication productivity for authors: Shallow or deep architecture? - Jianzhao Liu, Wei Zhou, Jiahua Xu, Xin Li, Shukun An, Zhibo Chen:
LIQA: Lifelong Blind Image Quality Assessment. - Hin Wai Lui, Emre Neftci:
Hessian Aware Quantization of Spiking Neural Networks. - Hanbo Zhang, Deyu Yang, Han Wang, Binglei Zhao, Xuguang Lan, Nanning Zheng:
REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter. - Siyu Gu, Xiang-Rong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu:
Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling. - Sandeep CR, Asif Salim, Sumitra Sarada:
Selecting the Points for Training using Graph Centrality. - Tse-Wei Chen, Motoki Yoshinaga, Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Kinya Osa, Masami Kato:
Condensation-Net: Memory-Efficient Network Architecture with Cross-Channel Pooling Layers and Virtual Feature Maps. - Tse-Wei Chen, Wei Tao, Deyu Wang, Dongchao Wen, Kinya Osa, Masami Kato:
Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions. - Tse-Wei Chen, Deyu Wang, Wei Tao, Dongchao Wen, Lingxiao Yin, Tadayuki Ito, Kinya Osa, Masami Kato:
CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications. - Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph E. Gonzalez:
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. - Kun Jiang
, Zhaoli Liu, Zheng Liu, Qindong Sun:
Locality Constrained Analysis Dictionary Learning via K-SVD Algorithm. - Sathyanarayanan N. Aakur, Sudeep Sarkar:
Learning Actor-centered Representations for Action Localization in Streaming Videos using Predictive Learning. - Jia-Huei Ju, Jheng-Hong Yang, Chuan-Ju Wang:
Text-to-Text Multi-view Learning for Passage Re-ranking. - Wang Luo, Tianzhu Zhang, Wenfei Yang, Jingen Liu, Tao Mei, Feng Wu, Yongdong Zhang:
Action Unit Memory Network for Weakly Supervised Temporal Action Localization. - Michael Dann, John Thangarajah:
Adapting to Reward Progressivity via Spectral Reinforcement Learning. - Biao Wang, Jun-e Feng, Daizhan Cheng:
On Identification of Boolean Control Networks. - Marc Hellmuth, David Schaller, Peter F. Stadler:
Compatibility of Partitions, Hierarchies, and Split Systems. - Patrizia Agnello, Silvia Maria Ansaldi, Emilia Lenzi, Alessio Mongelluzzo, Manuel Roveri:
RECKONition: a NLP-based system for Industrial Accidents at Work Prevention. - Paul Kotyczka, Tobias Thoma:
Symplectic discrete-time energy-based control for nonlinear mechanical systems. - Jackson Melchert, Kathleen Feng, Caleb Donovick, Ross Daly, Clark W. Barrett, Mark Horowitz, Pat Hanrahan, Priyanka Raina:
Automated Design Space Exploration of CGRA Processing Element Architectures using Frequent Subgraph Analysis. - Stefan Jürgens, Niklas Koch, Marc-Michael Meinecke:
Radar-based Automotive Localization using Landmarks in a Multimodal Sensor Graph-based Approach. - Yiwei Lyu, Wenhao Luo, John M. Dolan:
Probabilistic Safety-Assured Adaptive Merging Control for Autonomous Vehicles. - Sucheol Kim, Hyeongtaek Lee, Jihoon Cha, Sung-Jin Kim, Jaeyong Park, Junil Choi:
Practical Channel Estimation and Phase Shift Design for Intelligent Reflecting Surface Empowered MIMO Systems. - Luoyang Lin, Dihong Tian:
Using Adaptive Gradient for Texture Learning in Single-View 3D Reconstruction. - Xing Wei, Chenyang Yang:
Spatial Privacy-aware VR streaming. - Laurent Bulteau, Michael R. Fellows, Christian Komusiewicz, Frances A. Rosamond:
Parameterized String Equations. - Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft:
Fine-grained Generalization Analysis of Vector-valued Learning. - Toby Cathcart Burn, Luke Ong, Steven J. Ramsay, Dominik Wagner:
Initial Limit Datalog: a New Extensible Class of Decidable Constrained Horn Clauses. - Fabien Grzeskowiak, David J. Gonon, Daniel Dugas, Diego Paez-Granados, Jen Jen Chung, Juan I. Nieto, Roland Siegwart, Aude Billard, Marie Babel
, Julien Pettré:
Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd. - Manuel Floriano Vázquez, Nathan F. Lepora:
Uncertainty-aware deep learning for robot touch: Application to Bayesian tactile servo control. - Jean Néraud:
Variable-Length Codes Independent or Closed with respect to Edit Relations. - David E. Keyes
, Hatem Ltaief
, Yuji Nakatsukasa, Dalal Sukkari:
High-Performance Partial Spectrum Computation for Symmetric eigenvalue problems and the SVD. - Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu:
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. - Javier Rodriguez Puigvert, Ruben Martinez-Cantin, Javier Civera:
Bayesian Deep Networks for Supervised Single-View Depth Learning. - Chen-Hao Chao, Bo-Wun Cheng, Chun-Yi Lee:
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation. - Haotian Zhang, Yicheng Luo, Fangbo Qin, Yijia He, Xiao Liu:
ELSD: Efficient Line Segment Detector and Descriptor. - Shan Jiang, Haijun Yu:
Efficient Spectral Methods for Quasi-Equilibrium Closure Approximations of Symmetric Problems on Unit Circle and Sphere. - Siddhesh Khandelwal, Mohammed Suhail, Leonid Sigal:
Segmentation-grounded Scene Graph Generation. - Chen Yang, Peng Liang, Liming Fu, Zengyang Li:
Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study. - Yves Bestgen:
Using Fisher's Exact Test to Evaluate Association Measures for N-grams. - Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini:
Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. - Jan Böker
:
Graph Similarity and Homomorphism Densities. - Anne Bouillard, Paul Nikolaus, Jens B. Schmitt:
Fully Unleashing the Power of Paying Multiplexing Only Once in Stochastic Network Calculus. - Jizhizi Li, Sihan Ma, Jing Zhang, Dacheng Tao:
Privacy-Preserving Portrait Matting. - Oren Spector, Dotan Di Castro:
InsertionNet - A Scalable Solution for Insertion. - Rob van Glabbeek, Peter Höfner, Ross Horne:
Assuming Just Enough Fairness to make Session Types Complete for Lock-freedom. - Hoda Memarzadeh, Nasser Ghadiri, Maryam Lotfi Shahreza, Suresh Pokharel:
Heterogeneous electronic medical record representation for similarity computing. - Jannis Clausius, Sebastian Dörner, Sebastian Cammerer, Stephan ten Brink:
Serial vs. Parallel Turbo-Autoencoders and Accelerated Training for Learned Channel Codes. - Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe
, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle:
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. - Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao:
Learning Multi-Attention Context Graph for Group-Based Re-Identification. - Umar Khan, Sohaib Zahid, Muhammad Asad Ali, Adnan Ul-Hassan, Faisal Shafait:
TabAug: Data Driven Augmentation for Enhanced Table Structure Recognition. - Alireza Mohammadi
, Mark W. Spong:
Integral Line-of-Sight Path Following Control of Magnetic Helical Microswimmers Subject to Step-Out Frequencies. - Roberto Rocco, Davide Gadioli, Gianluca Palermo:
Legio: Fault Resiliency for Embarrassingly Parallel MPI Applications. - Jan Schilliger, Thomas Lew, Spencer M. Richards, Severin Hänggi, Marco Pavone, Christopher Harald Onder:
Control Barrier Functions for Cyber-Physical Systems and Applications to NMPC. - Pawel Kryszkiewicz, Hanna Bogucka:
Out-of-Band Power Reduction in NC-OFDM with Optimized Cancellation Carriers Selection. - Michael Götte, Reinhold Schneider, Philipp Trunschke:
A block-sparse Tensor Train Format for sample-efficient high-dimensional Polynomial Regression. - Shizhen Zhao, Xiao Zhang, Peirui Cao, Xinbing Wang:
Design of Robust and Efficient Edge Server Placement and Server Scheduling Policies: Extended Version. - Balwinder Sodhi, Ritu Kapur:
Quantum Computing Platforms: Assessing the Impact on Quality Attributes and SDLC Activities. - Ritu Kapur, Balwinder Sodhi, Poojith U. Rao, Shipra Sharma:
Using Paragraph Vectors to improve our existing code review assisting tool-CRUSO. - Antonis Achilleos, Mathias Ruggaard Pedersen:
Axiomatizations and Computability of Weighted Monadic Second-Order Logic. - Tinghua Li, Bayu Jayawardhana, Amar Kamat, Ajay Giri Prakash Kottapalli:
Source Seeking Control of Unicycle Robots with 3D-printed Flexible Piezoresistive Sensors. - Mahbuba Afrin, Jiong Jin, Akhlaqur Rahman, Ashfaqur Rahman, Jiafu Wan, Ekram Hossain:
Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey. - Khurram Azeem Hashmi, Marcus Liwicki, Didier Stricker, Muhammad Adnan Afzal, Muhammad Ahtsham Afzal, Muhammad Zeshan Afzal:
Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks. - Jakob Bossek, Markus Wagner:
Generating Instances with Performance Differences for More Than Just Two Algorithms. - Alexander S. Moffett, Andrew W. Eckford:
To code, or not to code, at the racetrack: Kelly betting and single-letter codes. - Arman Iranfar, Adriana Arza, David Atienza:
ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals. - Tiago Pimentel, Irene Nikkarinen, Kyle Mahowald, Ryan Cotterell, Damián E. Blasi:
How (Non-)Optimal is the Lexicon? - Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch, Stephanie Sarny, Klaus Schoeffmann:
Relevance Detection in Cataract Surgery Videos by Spatio-Temporal Action Localization. - Yongzhen Wang, Xiaozhong Liu, Katy Börner, Jun Lin, Yingnan Ju, Changlong Sun, Luo Si:
Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy. - Nikolas P. Koumpis, Dionysios S. Kalogerias:
Uncertainty Principles in Risk-Aware Statistical Estimation. - Eunbin Seo, Seunggi Lee, Gwanjun Shin, Hoyeong Yeo, Yongseob Lim, Gyeungho Choi:
Hybrid tracker based optimal path tracking system for complex road environments for autonomous driving. - Sumanth Prabhu, Moosa Mohamed, Hemant Misra:
Multi-class Text Classification using BERT-based Active Learning. - Ben Day, Alexander Norcliffe
, Jacob Moss, Pietro Liò:
Meta-learning using privileged information for dynamics. - Aaron Fisher:
Optimizing Rescoring Rules with Interpretable Representations of Long-Term Information. - Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin:
Emerging Properties in Self-Supervised Vision Transformers. - Austen Rainer:
Storytelling in human-centric software engineering research. - Yan Gao, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane:
End-to-End Speech Recognition from Federated Acoustic Models. - Buqing Nie, Yue Gao, Yidong Mei, Feng Gao:
Capability Iteration Network for Robot Path Planning. - Tobias Prinz, Thomas Wiegart, Daniel Plabst, Stefano Calabrò, Georg Böcherer, Nebojsa Stojanovic, Talha Rahman:
PAM-6 Coded Modulation for IM/DD Channels with a Peak-Power Constraint. - Valentin Malykh, Alexander Kukushkin, Ekaterina Artemova, Vladislav Mikhailov, Maria Tikhonova, Tatiana Shavrina:
MOROCCO: Model Resource Comparison Framework. - Zhenlv Lv, Juan Liu, Liangfa Xu:
A multi-plane augmented reality head-up display system based on volume holographic optical elements with large area. - (Withdrawn) Separation of PSPACE and EXP.
- Markus Brill, Rupert Freeman, Vincent Conitzer:
Computing Possible and Necessary Equilibrium Actions (and Bipartisan Set Winners). - Pongpisit Thanasutives, Ken-ichi Fukui, Masayuki Numao:
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations. - Nicolas Harrand, Thomas Durieux, David Broman, Benoit Baudry:
The Behavioral Diversity of Java JSON Libraries. - Dengcheng Yan, Jie Cao, Yiwen Zhang, Hong Zhong:
PersonalityGate: A General Plug-and-Play GNN Gate to Enhance Cascade Prediction with Personality Recognition Task. - Dengcheng Yan, Wenxin Xie, Yiwen Zhang:
Hypernetwork Dismantling via Deep Reinforcement Learning. - Ezio Bartocci, Luca Bortolussi, Laura Nenzi, Simone Silvetti:
MoonLight: A Lightweight Tool for Monitoring Spatio-Temporal Properties. - Rubèn Tito, Dimosthenis Karatzas, Ernest Valveny:
Document Collection Visual Question Answering. - Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams:
Dynabench: Rethinking Benchmarking in NLP. - Wenhao Wu, Sujian Li:
A Comprehensive Attempt to Research Statement Generation. - Thibault Doutre, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Olivier Siohan, Liangliang Cao:
Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models. - Mithun Chakraborty, Ulrike Schmidt-Kraepelin, Warut Suksompong:
Picking Sequences and Monotonicity in Weighted Fair Division. - Jing Qin, Joshua Ashley, Biyun Xie:
Hand Gesture Recognition Based on a Nonconvex Regularization. - Tegg Tae Kyong Sung, Bo Ryu:
SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning. - Ronan Dutra Mendonça, Otávio S. Gomes, Luiz Filipe M. Vieira, Marcos A. M. Vieira, Alex Borges Vieira, José Augusto Miranda Nacif:
BlockColdChain: Vaccine Cold Chain Blockchain. - Yi Tang, Yuanman Li, Guoliang Xing:
Video Salient Object Detection via Adaptive Local-Global Refinement. - Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou:
From Distributed Machine Learning to Federated Learning: A Survey. - Andrea Pupa, Chiara Talignani Landi, Mattia Bertolani, Cristian Secchi:
A Dynamic Architecture for Task Assignment and Scheduling for Collaborative Robotic Cells. - Kai Bergermann
, Martin Stoll:
Matrix function-based centrality measures for layer-coupled multiplex networks. - Fahad Sohrab, Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju:
Graph-Embedded Subspace Support Vector Data Description. - Guillermo Ortiz-Jiménez, Itamar Franco Salazar-Reque, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
A neural anisotropic view of underspecification in deep learning. - Fuya Luo, Yunhan Li, Guang Zeng, Peng Peng, Gang Wang, Yongjie Li:
Thermal Infrared Image Colorization for Nighttime Driving Scenes with Top-Down Guided Attention. - Kaili Wang, José Oramas M., Tinne Tuytelaars:
MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization. - Weizhu Qian, Bowei Chen, Xiaowei Huang:
Learning Robust Variational Information Bottleneck with Reference. - Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis:
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments. - Shuang Zhang, Liyao Xiang, Xi Yu, Pengzhi Chu, Yingqi Chen, Chen Cen, Li Wang:
Privacy-Preserving Federated Learning on Partitioned Attributes. - Haoqing Wang, Zhi-Hong Deng:
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation. - Artemij Amiranashvili, Max Argus, Lukás Hermann, Wolfram Burgard, Thomas Brox:
Pre-training of Deep RL Agents for Improved Learning under Domain Randomization. - Shreshth Tuli, Shivananda R. Poojara, Satish Narayana Srirama, Giuliano Casale, Nicholas R. Jennings:
COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments. - Celina M. H. de Figueiredo, Alexsander Andrade de Melo, Diana Sasaki, Ana Silva:
Revising Johnson's table for the 21st century. - Maxime Vaidis, Philippe Giguère, François Pomerleau, Vladimír Kubelka:
Accurate outdoor ground truth based on total stations. - Barbara Ripani, Andrea Modenini, Roberto Garello, Gabriel Maiolini Capez, Guido Montorsi:
On the use of PN Ranging with High-rate Spectrally-efficient Modulations. - Shaun D'Souza:
Implementing Reinforcement Learning Algorithms in Retail Supply Chains with OpenAI Gym Toolkit. - Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah:
Do Feature Attribution Methods Correctly Attribute Features? - Stefan Steinerberger:
A 0.502·MaxCut Approximation using Quadratic Programming. - Ki Hong Shin, Jae-Won Jung, Ki-Ho Chang, Dong-In Lee, Cheol-Hwan You, Kyungsik Kim:
Dynamical prediction of two meteorological factors using the deep neural network and the long short-term memory (2). - Cinzia Di Giusto, Laetitia Laversa, Étienne Lozes:
Guessing the buffer bound for k-synchronizability. - Daniele Mundici:
Polytime reductions of AF-algebraic problems. - Haoguang Yang, Mythra V. Balakuntala, Abigayle E. Moser, Jhon J. Quiñones, Ali Doosttalab, Antonio Esquivel-Puentes, Tanya Purwar, Luciano Castillo, Nina Mahmoudian, Richard M. Voyles:
Enhancing Safety of Students with Mobile Air Filtration during School Reopening from COVID-19. - Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen:
Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small-Cell Lung Cancer. - Pavel Izmailov, Sharad Vikram, Matthew D. Hoffman, Andrew Gordon Wilson:
What Are Bayesian Neural Network Posteriors Really Like? - Ahmed Raoof, Chung-Horng Lung, Ashraf Matrawy:
Integrating 6LoWPAN Security with RPL Using The Chained Secure Mode Framework. - Ziliang Kang, Daniel A. Tortorelli, Kai A. James:
Parallel Projection - A New Return Mapping Algorithm for Finite Element Modeling of Shape Memory Alloys. - Andrew Cropper, Rolf Morel:
Predicate Invention by Learning From Failures. - Xin Guo, Zhongming Jin, Chong Chen, Helei Nie, Jianqiang Huang, Deng Cai, Xiaofei He, Xiansheng Hua:
Discriminative-Generative Dual Memory Video Anomaly Detection. - Alex Dytso, Luca Barletta, Shlomo Shamai:
Bounds on the Number of Mass Points of the Capacity Achieving Distribution of the Amplitude Constraint Poisson Noise Channel. - Meghavin Bhatasana, Amy Marconnet:
Machine-Learning Assisted Optimization Strategies for Phase Change Materials Embedded within Electronic Packages. - Changshun Wu, Yliès Falcone, Saddek Bensalem:
Customizable Reference Runtime Monitoring of Neural Networks using Resolution Boxes. - Ashwin Nayak:
Deterministic Algorithms for the Hidden Subgroup Problem. - Marc Syvaeri, Sven Krippendorf:
Improving Simulations with Symmetry Control Neural Networks. - Dominik Kirst, Dominique Larchey-Wendling:
Trakhtenbrot's Theorem in Coq: Finite Model Theory through the Constructive Lens. - Quang-Thinh Ha, Paul A. Kuberry, Nathaniel A. Trask, Emily M. Ryan:
Parallel implementation of a compatible high-order meshless method for the Stokes' equations. - Dengcheng Yan, Youwen Zhang, Wei Li, Yiwen Zhang:
MUSE: Multi-faceted Attention for Signed Network Embedding. - Ellya L. Kawecki, Timo Sprekeler:
Discontinuous Galerkin and C0-IP finite element approximation of periodic Hamilton-Jacobi-Bellman-Isaacs problems with application to numerical homogenization. - Daniela di Serafino, Germana Landi, Marco Viola:
TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter. - Mark T. Keane, Eoin M. Kenny, Mohammed Temraz, Derek Greene, Barry Smyth:
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation. - Linguo Li, Minsi Wang, Bingbing Ni, Hang Wang, Jiancheng Yang, Wenjun Zhang:
3D Human Action Representation Learning via Cross-View Consistency Pursuit. - Frigyes Viktor Arthur, Tamás Gábor Csapó:
Towards a practical lip-to-speech conversion system using deep neural networks and mobile application frontend. - Vasiliki Kouni
, Holger Rauhut:
Star DGT: a Robust Gabor Transform for Speech Denoising. - Ha Nguyen, Yannick Estève, Laurent Besacier:
Impact of Encoding and Segmentation Strategies on End-to-End Simultaneous Speech Translation. - Haitao Wang, Yiming Zhao:
Reverse Shortest Path Problem for Unit-Disk Graphs. - Markus Freitag, George F. Foster, David Grangier, Viresh Ratnakar, Qijun Tan, Wolfgang Macherey:
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation. - Matthias Brugger, Andreas S. Schulz:
On the Complexity of Recognizing Integrality and Total Dual Integrality of the {0, 1/2}-Closure. - Natalia Díaz Rodríguez, Ruta Binkyte-Sadauskiene, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevicius, Raja G. Chatila
:
Questioning causality on sex, gender and COVID-19, and identifying bias in large-scale data-driven analyses: the Bias Priority Recommendations and Bias Catalog for Pandemics. - Gary M. Weiss, Nam Nguyen, Karla Dominguez, Daniel D. Leeds:
Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments: Extended Version. - Cyrus Cousins:
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning. - Qinghao Ye, Jun Xia, Guang Yang:
Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study. - Yixin Cao, Yuping Ke:
Improved Kernels for Edge Modification Problems. - Faiq Miftakhul Falakh, Sebastian Rudolph, Kai Sauerwald:
A General Katsuno-Mendelzon-Style Characterization of AGM Belief Base Revision for Arbitrary Monotonic Logics. - Adnan Mehonic, Anthony J. Kenyon:
Brain-inspired computing: We need a master plan. - Rohit Chadha, A. Prasad Sistla, Mahesh Viswanathan:
On Linear Time Decidability of Differential Privacy for Programs with Unbounded Inputs. - Enes Altinisik, Hüsrev T. Sencar:
Automatic Generation of H.264 Parameter Sets to Recover Video File Fragments. - Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi:
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements. - Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier:
Online certification of preference-based fairness for personalized recommender systems. - Haoyuan Chen, Chen Li, Xiaoyan Li, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification. - Bolu John Folayan, Olubunmi Ajibade, Olubunmi Dipo-Adedoyin, Toyin Segun Onayinka, Toluwani Titilola Folayan:
The Big Brother NaijaTV Reality Show as Coordinate of Media Functions and Dysfunctions. - Diego Ferigo, Raffaello Camoriano, Paolo Maria Viceconte, Daniele Calandriello, Silvio Traversaro, Lorenzo Rosasco, Daniele Pucci:
On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning. - Shelly Sheynin, Sagie Benaim, Lior Wolf:
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection. - Hanjia Lyu, Yangxin Fan, Ziyu Xiong, Mayya Komisarchik, Jiebo Luo:
State-level Racially Motivated Hate Crimes Contrast Public Opinion on the #StopAsianHate and #StopAAPIHate Movement. - Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang:
You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features. - Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Chinmay Hegde, Soumik Sarkar, Santi Adavani, Adarsh Krishnamurthy, Baskar Ganapathysubramanian:
Distributed Multigrid Neural Solvers on Megavoxel Domains. - Jamie Watson, Oisin Mac Aodha, Victor Prisacariu, Gabriel J. Brostow, Michael Firman:
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth. - Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu:
AutoFlow: Learning a Better Training Set for Optical Flow. - Bin Yan, Houwen Peng, Kan Wu, Dong Wang, Jianlong Fu, Huchuan Lu:
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search. - Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Adarsh Krishnamurthy:
NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications. - Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations. - Hrishikesh Dutta, Subir Biswas:
Medium Access using Distributed Reinforcement Learning for IoTs with Low-Complexity Wireless Transceivers. - Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang:
Ensembling with Deep Generative Views. - Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon:
MarioNette: Self-Supervised Sprite Learning. - Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado:
MongeNet: Efficient Sampler for Geometric Deep Learning. - Zhiheng Li, Chenliang Xu:
Discover the Unknown Biased Attribute of an Image Classifier. - Moustafa Meshry, Saksham Suri, Larry S. Davis, Abhinav Shrivastava:
Learned Spatial Representations for Few-shot Talking-Head Synthesis. - Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He:
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. - Fangzhou Han, Shuquan Ye, Mingming He, Menglei Chai, Jing Liao:
Exemplar-Based 3D Portrait Stylization. - Tom Monnier, Elliot Vincent
, Jean Ponce, Mathieu Aubry:
Unsupervised Layered Image Decomposition into Object Prototypes. - Matteo Zecchin, Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Deniz Gündüz, Marios Kountouris, David Gesbert:
A Novel Look at LIDAR-aided Data-driven mmWave Beam Selection. - Fangzheng Lin, Jiesheng Yang, Jiangpeng Shu, Raimar J. Scherer:
Crack Semantic Segmentation using the U-Net with Full Attention Strategy. - Alex Samorodnitsky:
One more proof of the first linear programming bound for binary codes and two conjectures. - Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas:
User-centric Cell-free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions. - Kaveh Akbarzadeh-Sherbaf, Mikaeel Bahmani, Danial Ghiaseddin, Saeed Safari, AbdolHossein Vahabie:
A Novel Approximate Hamming Weight Computing for Spiking Neural Networks: an FPGA Friendly Architecture. - Hannah Bast, Johannes Kalmbach, Theresa Klumpp, Florian Kramer, Niklas Schnelle:
Efficient SPARQL Autocompletion via SPARQL. - Norbert Peyerimhoff, Marc Roth, Johannes Schmitt, Jakob Stix, Alina Vdovina:
Parameterized (Modular) Counting and Cayley Graph Expanders. - Anas Shrinah, Derek Long, Kerstin Eder:
D-VAL: An automatic functional equivalence validation tool for planning domain models. - Juliano Zanuzzio Blanco, Daniel Lucrédio:
A holistic approach for cross-platform software development. - Adrian Moldovan, Angel Cataron, Razvan Andonie:
Learning in Feedforward Neural Networks Accelerated by Transfer Entropy. - Jack West, Kyuin Lee, Suman Banerjee, Younghyun Kim, George K. Thiruvathukal, Neil Klingensmith:
Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication. - Xiaoyu Wen, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong:
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge. - Martin Grohe:
The Logic of Graph Neural Networks. - Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo:
Cluster-driven Graph Federated Learning over Multiple Domains. - Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao:
Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph. - Sibo Zhang, Jiahong Yuan, Miao Liao, Liangjun Zhang:
Text2Video: Text-driven Talking-head Video Synthesis with Phonetic Dictionary. - Cunzhi Zhao, Xingpeng Li:
A Novel Real-Time Energy Management Strategy for Grid-Supporting Microgrid: Enabling Flexible Trading Power. - Shreyas Hampali, Sayan Deb Sarkar, Mahdi Rad, Vincent Lepetit:
HandsFormer: Keypoint Transformer for Monocular 3D Pose Estimation ofHands and Object in Interaction. - Wajdi Aljedaani, Anthony Peruma, Ahmed Aljohani, Mazen Alotaibi, Mohamed Wiem Mkaouer, Ali Ouni, Christian D. Newman, Abdullatif Ghallab, Stephanie Ludi:
Test Smell Detection Tools: A Systematic Mapping Study. - Yao Wang, Xingyu Zhou, Yanming Wang, Rui Li
, Yong Wu, Vin Sharma:
Tuna: A Static Analysis Approach to Optimizing Deep Neural Networks. - Priyanka Patel, Chun-Hao P. Huang, Joachim Tesch, David T. Hoffmann, Shashank Tripathi, Michael J. Black:
AGORA: Avatars in Geography Optimized for Regression Analysis. - Safa Alver, Doina Precup:
What is Going on Inside Recurrent Meta Reinforcement Learning Agents? - Adrian de Wynter:
Turing Completeness and Sid Meier's Civilization. - Yang Chen, Jiamou Liu, Bakhadyr Khoussainov:
Maximum Entropy Inverse Reinforcement Learning for Mean Field Games. - Nicholas Majeske, Bidisha Abesh, Chen Zhu, Ariful Azad:
Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed. - Donald W. Johnson, T. J. Jankun-Kelly:
Efficacy of Images Versus Data Buffers: Optimizing Interactive Applications Utilizing OpenCL for Scientific Visualization. - Ulrich Berger, Hideki Tsuiki:
Extracting total Amb programs from proofs. - Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Costas J. Spanos:
Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response. - Toufique Ahmed, Noah Rose Ledesma, Premkumar T. Devanbu:
SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics. - Trevor Avant, Kristi A. Morgansen:
Analytical bounds on the local Lipschitz constants of ReLU networks. - Jiawei Zhou, Tahira Naseem, Ramón Fernandez Astudillo, Radu Florian:
AMR Parsing with Action-Pointer Transformer. - Haiyu Zou, Yingjie Liu:
A Finite Difference Method on Irregular Grids with Local Second Order Ghost Point Extension for Solving Maxwell's Equations Around Curved PEC Objects. - Leila Zahedi, Farid Ghareh Mohammadi, Shabnam Rezapour, Matthew W. Ohland, M. Hadi Amini:
Search Algorithms for Automated Hyper-Parameter Tuning. - Harshayu Girase, Jerrick Hoang, Sai Yalamanchi, Micol Marchetti-Bowick:
Physically Feasible Vehicle Trajectory Prediction. - Logan Pedersen, Haitao Wang:
Algorithms for the Line-Constrained Disk Coverage and Related Problems. - Aleksandr Kim, Aljosa Osep, Laura Leal-Taixé:
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion. - Krishnapriya K. S, Michael C. King, Kevin W. Bowyer:
Analysis of Manual and Automated Skin Tone Assignments for Face Recognition Applications. - Filippo Bonchi, Fabio Gadducci, Aleks Kissinger, Pawel Sobocinski, Fabio Zanasi:
String Diagram Rewrite Theory II: Rewriting with Symmetric Monoidal Structure. - Sinong Wang, Han Fang, Madian Khabsa, Hanzi Mao, Hao Ma:
Entailment as Few-Shot Learner. - Aina Garí Soler
, Marianna Apidianaki:
Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into Senses. - Zhiyuan Wu, Yu Jiang, Minghao Zhao, Chupeng Cui, Zongmin Yang, Xinhui Xue, Hong Qi:
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer. - Joanna Golinska-Pilarek, Taneli Huuskonen, Michal Zawidzki
:
Tableau-based decision procedure for non-Fregean logic of sentential identity. - Ying Ma, Jia Yin:
Error estimates of finite difference methods for the Dirac equation in the massless and nonrelativistic regime. - Ana Paula Chaves, Marco Aurélio Gerosa:
Why should we care about register? Reflections on chatbot language design. - Ewan Dunbar, Mathieu Bernard, Nicolas Hamilakis, Tu Anh Nguyen, Maureen de Seyssel
, Patricia Rozé, Morgane Rivière, Eugene Kharitonov, Emmanuel Dupoux
:
The Interspeech Zero Resource Speech Challenge 2021: Spoken language modelling. - Zhuangzhuang Zhang, Baozhou Sun, Weixiong Zhang:
Pyramid Medical Transformer for Medical Image Segmentation. - Ankith Uppunda, Susan D. Cochran, Jacob G. Foster, Alina Arseniev-Koehler, Vickie M. Mays, Kai-Wei Chang:
Adapting Coreference Resolution for Processing Violent Death Narratives. - M. Keith Ballard, Roman Amici, Varun Shankar, Lauren A. Ferguson, Michael Braginsky, Robert M. Kirby
:
Towards an Extrinsic, CG-XFEM Approach Based on Hierarchical Enrichments for Modeling Progressive Fracture. - Ronald Fagin, Jonathan Lenchner, Kenneth W. Regan, Nikhil Vyas:
Multi-Structural Games and Number of Quantifiers. - Natalia Pavlasek, Alex Walsh, James Richard Forbes:
Invariant Extended Kalman Filtering Using Two Position Receivers for Extended Pose Estimation. - Pola Lydia Lagari, Lefteri H. Tsoukalas, Salar Safarkhani, Isaac E. Lagaris:
Eliminating Multicollinearity Issues in Neural Network Ensembles: Incremental, Negatively Correlated, Optimal Convex Blending. - Abdelhaliem Babiker:
A Novel Provably Secure Key-Agreement Using Secret Subgroup Generator. - Mohamed-Ouejdi Belarbi, Mohammed Sid Ahmed Houari, Hicham Hirane, Ahmed Amine Daikh, Stéphane Pierre-Alain Bordas:
On the finite element analysis of functionally graded sandwich curved beams via a new refined higher shear deformation theory. - Carola Sundaramoorthy, Lin Ziwen Kelvin, Mahak Sarin, Shubham Gupta:
End-to-End Attention-based Image Captioning. - Ziqian Lin, Sreya Dutta Roy, Yixuan Li:
MOOD: Multi-level Out-of-distribution Detection. - Aymé Arango, Jorge Pérez, Barbara Poblete:
Cross-lingual hate speech detection based on multilingual domain-specific word embeddings. - Lv Tang:
CoSformer: Detecting Co-Salient Object with Transformers. - Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee:
Perceptual Image Quality Assessment with Transformers. - Cristino Salcines, Sourabh Khandelwal, Ingmar Kallfass:
A Compact Model for SiC Power MOSFETs for Large Current and High Voltage Operation. - Dan Shiebler:
Flattening Multiparameter Hierarchical Clustering Functors. - (Withdrawn) DPR-CAE: Capsule Autoencoder with Dynamic Part Representation for Image Parsing.
- Hao Yi Ong, Daniel Freund, Davide Crapis:
Driver Positioning and Incentive Budgeting with an Escrow Mechanism for Ridesharing Platforms. - Chenyu Gao
, Qi Zhu, Peng Wang, Qi Wu:
Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads. - Sam Ganzfried:
Human strategic decision making in parametrized games. - Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Lu Chi, Zehuan Yuan, Changhu Wang, Yanning Zhang:
Center Prediction Loss for Re-identification. - Arnesh Kumar Issar, Kirtan Mali, Aryan Mehta, Karan Uppal, Saurabh Mishra, Debashish Chakravarty:
Reproducibility of "FDA: Fourier Domain Adaptation forSemantic Segmentation. - Zeinab Rajabi, MohammadReza Valavi:
A Survey on sentiment analysis in Persian: A Comprehensive System Perspective Covering Challenges and Advances in Resources, and Methods. - Rajiv Movva, Jonathan Frankle, Michael Carbin:
Studying the Consistency and Composability of Lottery Ticket Pruning Masks. - Hyunsu Kim, Yunjey Choi, Junho Kim, Sungjoo Yoo, Youngjung Uh:
StyleMapGAN: Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing. - Weipeng Guan, Babar Hussain, C. Patrick Yue:
Technology Report : Robotic Localization and Navigation System for Visible Light Positioning and SLAM. - Hanyang Liu, Michael Montana, Dingwen Li, Thomas George Kannampallil, Chenyang Lu:
Predicting Intraoperative Hypoxemia with Joint Sequence Autoencoder Networks. - Huijuan Wang, Shuangyin Li, Rong Pan:
An Adversarial Transfer Network for Knowledge Representation Learning. - Joseph W. N. Paulus, Daniele Nantes-Sobrinho, Jorge A. Pérez:
Non-Deterministic Functions as Non-Deterministic Processes (Extended Version). - Johannes Holvitie, Sherlock A. Licorish, Rodrigo O. Spínola, Sami Hyrynsalmi, Stephen G. MacDonell, Thiago Souto Mendes, Jim Buchan, Ville Leppänen:
Technical debt and agile software development practices and processes: An industry practitioner survey. - Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu:
GM-MLIC: Graph Matching based Multi-Label Image Classification. - Lei Sun:
ICOS: Efficient and Highly Robust Point Cloud Registration with Correspondences. - Nishant Rai, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles:
CoCon: Cooperative-Contrastive Learning. - Junghyuk Lee, Jong-Seok Lee:
TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for Accurate GAN Evaluation. - Weibing Zhao, Xu Yan, Jiantao Gao, Ruimao Zhang, Jiayan Zhang, Zhen Li, Song Wu, Shuguang Cui:
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery. - Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Arif Mahmood, Seung-Ik Lee:
Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection. - Md. Khayrul Bashar:
Event-driven timeseries analysis and the comparison of public reactions on COVID-19. - Pengfei Liu, Kun Li, Helen Meng:
Hierarchical Modeling for Out-of-Scope Domain and Intent Classification. - Ruibing Hou, Hong Chang, Bingpeng Ma, Rui Huang, Shiguang Shan:
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification. - Sayandeep Sanyal, Ayan Chakraborty, Pallab Dasgupta, Aritra Hazra:
Methodology for Biasing Random Simulation for Rapid Coverage of Corner Cases in AMS Designs. - Jiakai Zhang
, Xinhang Liu, Xinyi Ye, Fuqiang Zhao, Yanshun Zhang, Minye Wu, Yingliang Zhang, Lan Xu, Jingyi Yu:
Editable Free-viewpoint Video Using a Layered Neural Representation. - Anna Jenul, Stefan Schrunner, Jürgen Pilz, Oliver Tomic:
A User-Guided Bayesian Framework for Ensemble Feature Selection in Life Science Applications (UBayFS). - Linde Vanbesien, Maurice Bruynooghe, Marc Denecker:
Analyzing Semantics of Aggregate Answer Set Programming Using Approximation Fixpoint Theory. - Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi:
Mitigating Political Bias in Language Models Through Reinforced Calibration. - Daniel Verenzuela, Emil Björnson, Xiaojie Wang, Maximilian Arnold, Stephan ten Brink:
Massive-MIMO Iterative Channel Estimation and Decoding (MICED) in the Uplink. - Laure Prétet, Gaël Richard, Geoffroy Peeters:
Cross-Modal Music-Video Recommendation: A Study of Design Choices. - Eric Jeangirard:
Content-based subject classification at article level in biomedical context. - Philipp Wicke, Tony Veale:
Creative Action at a Distance: A Conceptual Framework for Embodied Performance With Robotic Actors. - Xinjian Zhang, Yi Xu, Su Yang, Longwen Gao, Huyang Sun:
Dance Generation with Style Embedding: Learning and Transferring Latent Representations of Dance Styles. - Qi Fan, Chi-Keung Tang, Yu-Wing Tai:
Few-Shot Video Object Detection. - Chenfei Wu, Lun Huang, Qianxi Zhang, Binyang Li, Lei Ji, Fan Yang, Guillermo Sapiro, Nan Duan:
GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions. - Jungang Yang, Liyao Xiang, Weiting Li, Wei Liu, Xinbing Wang:
Improved Matrix Gaussian Mechanism for Differential Privacy. - Guy Clarke Marshall, Caroline Jay, André Freitas:
Structuralist analysis for neural network system diagrams. - Guy Clarke Marshall, Caroline Jay, André Freitas:
Scholarly AI system diagrams as an access point to mental models. - Robin Chan
, Krzysztof Lis
, Svenja Uhlemeyer, Hermann Blum
, Sina Honari, Roland Siegwart, Mathieu Salzmann, Pascal Fua, Matthias Rottmann:
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. - Guy Clarke Marshall, Caroline Jay, André Freitas:
Number and quality of diagrams in scholarly publications is associated with number of citations. - Zekun Zhu, Aipeng Sun, Xiaochao Zhou, Shunchuan Yang, Zhizhang Chen:
Generalized SS-SIE for Electromagnetic Analysis of Arbitrarily Connected Penetrable and PEC Objects with Non-Conformal Meshes. - Sara Grundel, Michael Herty:
Model-Order Reduction For Hyperbolic Relaxation Systems. - Katrin Mang, Andreas Fehse, Nils Hendrik Kröger, Thomas Wick:
A mixed phase-field fracture model for crack propagation in punctured EPDM strips. - Mohamed-Amine Baazizi, Dario Colazzo, Giorgio Ghelli, Carlo Sartiani, Stefanie Scherzinger:
Not Elimination and Witness Generation for JSON Schema. - Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma:
Scaling End-to-End Models for Large-Scale Multilingual ASR. - Pablo Muñoz, Oriol Sallent, Jordi Pérez-Romero:
Capacity Self-Planning in Small Cell Multi-Tenant 5G Networks. - Wei Zhou, Xin Cao, Xiaodan Zhang, Xingxing Hao, Dekui Wang, Ying He:
Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning. - Zhuo Su, Lan Xu, Dawei Zhong, Zhong Li, Fan Deng, Shuxue Quan, Lu Fang:
RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream. - Yi-Chong Huang, Xia-Chong Feng, Xiao-Cheng Feng, Bing Qin:
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey. - Likun Ren:
A Thermodynamic based and Data Driven Hybrid Network for Gas Turbine Modeling. - Liam Yemm:
Design and analysis of the Extended Hybrid High-Order method for the Poisson problem. - Samantha Biegel, Rafah El-Khatib, Luiz Otávio Vilas Boas Oliveira, Max Baak, Nanne Aben:
Active WeaSuL: Improving Weak Supervision with Active Learning. - Tomás Bures, Ilias Gerostathopoulos, Petr Hnetynka, Jan Pacovský:
Forming Ensembles at Runtime: A Machine Learning Approach. - Yan He, Liang Feng Zhang:
Multi-Matrix Verifiable Computation. - Sanghyun Son, Suyoung Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee:
NTIRE 2021 Challenge on Video Super-Resolution. - Seungjun Nah, Sanghyun Son, Suyoung Lee, Radu Timofte, Kyoung Mu Lee:
NTIRE 2021 Challenge on Image Deblurring. - Fabian Laakmann, Patrick E. Farrell, Lawrence Mitchell:
An augmented Lagrangian preconditioner for the magnetohydrodynamics equations at high Reynolds and coupling numbers. - Arnaldo Cesco
, Roberto Gorrieri:
Decidability of Two Truly Concurrent Equivalences for Finite Bounded Petri Nets. - Arnaldo Cesco, Roberto Gorrieri:
A Decidable Equivalence for a Turing-complete, Distributed Model of Computation. - Silvia Casola, Alberto Lavelli:
Summarization, Simplification, and Generation: The Case of Patents. - Wojciech Ozga, Do Le Quoc, Christof Fetzer:
WELES: Policy-driven Runtime Integrity Enforcement of Virtual Machines. - Julian Karoliny, Thomas Blazek
, Fjolla Ademaj, Hans-Peter Bernhard, Andreas Springer:
RSSI-Based Machine Learning with Pre- and Post-Processing for Cell-Localization in IWSNs. - Zahra Gharaee
:
Action in Mind: A Neural Network Approach to Action Recognition and Segmentation. - Thomas Blazek
, Julian Karoliny, Fjolla Ademaj, Hans-Peter Bernhard:
RSSI-Based Location Classification Using a Particle Filter to Fuse Sensor Estimates. - Junru Chen, Shiqing Geng, Yongluan Yan, Danyang Huang, Hao Liu, Yadong Li:
Vehicle Re-identification Method Based on Vehicle Attribute and Mutual Exclusion Between Cameras. - Joseph Boudou, Andreas Herzig, Nicolas Troquard:
Resource separation in dynamic logic of propositional assignments. - Dimitrios Antoniadis, Peilong Feng, Andrea Mifsud, Timothy G. Constandinou:
Open-Source Memory Compiler for Automatic RRAM Generation and Verification. - Nicolas Troquard:
Tracking and managing deemed abilities. - Xiao Tan, Dimos V. Dimarogonas:
On the Undesired Equilibria Induced by Control Barrier Function Based Quadratic Programs. - Chiman Wong, Fan Feng, Wen Zhang, Chi-Man Vong, Hui Chen, Yichi Zhang, Peng He, Huan Chen, Kun Zhao, Huajun Chen:
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph. - Kai Cui, Anam Tahir
, Mark Sinzger, Heinz Koeppl:
Discrete-Time Mean Field Control with Environment States. - Mian Ahmad Jan, Fazlullah Khan, Spyridon Mastorakis, Muhammad Adil, Aamir Akbar, Nicholas Stergiou:
LightIoT: Lightweight and Secure Communication for Energy-Efficient IoT in Health Informatics. - Dingming Yang, Yanrong Cui, Zeyu Yu, Hongqiang Yuan:
Deep Learning Based Steel Pipe Weld Defect Detection. - Kateryna Konotopska, Giovanni Iacca:
Graph-Aware Evolutionary Algorithms for Influence Maximization. - Thiago Freitas dos Santos, Nardine Osman, Marco Schorlemmer:
Learning for Detecting Norm Violation in Online Communities. - Ramzi Ourari, Kai Cui, Heinz Koeppl:
Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning. - Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao:
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification. - Siddhant Arora, Vinayak Gupta, Garima Gaur, Srikanta Bedathur:
BERT Meets Relational DB: Contextual Representations of Relational Databases. - Takehiro Ichimura, Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
A numerical exploration of signal detector arrangement in a spin-wave reservoir computing device. - Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Depeng Jin, Yong Li:
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. - Ruochen Tai, Liyong Lin, Yuting Zhu, Rong Su:
Privacy-Preserving Co-synthesis Against Sensor-Actuator Eavesdropping Intruder. - Mark-Christoph Müller
, Sucheta Ghosh, Ulrike Wittig, Maja Rey:
Word-Level Alignment of Paper Documents with their Electronic Full-Text Counterparts. - Joris Guérin, Kevin Delmas, Jérémie Guiochet:
Certifying Emergency Landing for Safe Urban UAV. - Xinyu Chen, Mengying Lei, Nicolas Saunier, Lijun Sun:
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation. - Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Chenglu Wen, Cheng Wang, Rongshan Yu:
Federated Learning with Fair Averaging. - Shibo Zhao, Hengrui Zhang, Peng Wang, Lucas Nogueira, Sebastian A. Scherer:
Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments. - Tarun Krishna, Kevin McGuinness, Noel E. O'Connor:
Evaluating Contrastive Models for Instance-based Image Retrieval. - Vikram Singh, Praveen Chandrashekar:
On a linear stability issue of split form schemes for compressible flows. - Yevgeni Koucheryavy, Anastasia Yastrebova, Daniel P. Martins, Sasitharan Balasubramaniam:
A Review on Bio-Cyber Interfaces for Intrabody Molecular Communications Systems. - Yuandu Lai, Yahong Han:
Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings. - Haoying Li, Yifan Yang, Meng Chang, Huajun Feng, Zhihai Xu, Qi Li, Yue-ting Chen:
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models. - Martin Fleischmann
, Alessandra Feliciotti
, Ombretta Romice
, Sergio Porta:
Methodological Foundation of a Numerical Taxonomy of Urban Form. - Janet Rafner
, Miroslav Gajdacz
, Gitte Kragh
, Arthur Hjorth, Anna Jia Gander, Blanka Palfi, Aleks Berditchevskaia, François Grey, Kobi Gal, Avi Segal, Mike Walmsley, Josh Aaron Miller, Dominik Dellerman, Muki Haklay, Pietro Michelucci, Jacob Friis Sherson
:
Revisiting Citizen Science Through the Lens of Hybrid Intelligence. - Yuncong Yu, Dylan Kruyff, Tim Becker, Michael Behrisch:
PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback. - Georg Wölflein, Ognjen Arandjelovic:
Determining Chess Game State From an Image. - Penny Tarling, Mauricio Cantor
, Albert Clapés, Sergio Escalera:
Deep learning with self-supervision and uncertainty regularization to count fish in underwater images. - Yichen Zhang, Zeyang Song, Wenbo Li:
Unsupervised data augmentation for object detection. - Luis Sa-Couto, Andreas Wichert:
Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition. - Bin Liu, Yaxu Wang, Guangzu Zhao, Bin Yang, Ruirui Wang, Dexiang Huang, Bin Xiang:
Intelligent Decision Method for Main Control Parameters of Tunnel Boring Machine based on Multi-Objective Optimization of Excavation Efficiency and Cost. - Xiaofan Cui, Alireza Ramyar, Jason B. Siegel
, Peyman Mohtat, Anna G. Stefanopoulou, Al-Thaddeus Avestruz:
Grid Interfaces to Electric Vehicle Chargers Using Statistically-Structured Power Conversion for Second-Use Batteries as Energy Buffering. - Gaigai Tang, Lianxiao Meng, Shuangyin Ren, Weipeng Cao, Qiang Wang, Lin Yang:
A comparative study of neural network techniques for automatic software vulnerability detection. - Dejan Stepec, Tomaz Martincic, Fabrice Klein, Daniel Vladusic, João Pita Costa:
Machine Learning based System for Vessel Turnaround Time Prediction. - Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang:
CAT: Cross-Attention Transformer for One-Shot Object Detection. - Ruiqi Liu, Qingqing Wu, Marco Di Renzo, Yifei Yuan:
A Path to Smart Radio Environments: An Industrial Viewpoint on Reconfigurable Intelligent Surfaces. - Bernd Finkbeiner, Philippe Heim, Noemi Passing:
Temporal Stream Logic modulo Theories. - Robert Schilling, Pascal Nasahl, Stefan Mangard:
FIPAC: Thwarting Fault- and Software-Induced Control-Flow Attacks with ARM Pointer Authentication. - Golsa Tahmasebzadeh, Endri Kacupaj, Eric Müller-Budack, Sherzod Hakimov, Jens Lehmann, Ralph Ewerth:
GeoWINE: Geolocation based Wiki, Image, News and Event Retrieval. - Jonas Theiner, Eric Müller-Budack, Ralph Ewerth:
Interpretable Semantic Photo Geolocalization. - Michael Sievers:
Convergence Analysis of a Local Stationarity Scheme for Rate-Independent Systems and Application to Damage. - Vitaly Aksenov, Nikita Koval, Petr Kuznetsov:
Memory-Optimality for Non-Blocking Containers. - Taylor J. Carpenter, Radoslav Ivanov, Insup Lee, James Weimer:
ModelGuard: Runtime Validation of Lipschitz-continuous Models. - Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, Afshin Shoeibi, Juan Manuel Górriz, Hossein Moosaei
, Abbas Khosravi, Saeid Nahavandi, Abdoulmohammad Gholamzadeh Chofreh, Feybi Ariani Goni, Jirí Jaromír Klemes, Amir Mosavi:
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods. - J. C. Schoeman, Corné E. van Daalen, Johan A. du Preez:
Degenerate Gaussian factors for probabilistic inference. - Dongming Yang, Yuexian Zou, Can Zhang, Meng Cao, Jie Chen:
RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection. - Yusuke Kumakoshi, Hisatomo Hanabusa, Takashi Oguchi:
Impacts of shared autonomous vehicles: Tradeoff between parking demand reduction and congestion increase. - Xavier Allamigeon, Ricardo D. Katz, Pierre-Yves Strub:
Formalizing the Face Lattice of Polyhedra. - Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee:
Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks. - Ivan Lazarevich, Alexander Kozlov, Nikita Malinin:
Post-training deep neural network pruning via layer-wise calibration. - Raphael Watschinger, Günther Of:
An integration by parts formula for the bilinear form of the hypersingular boundary integral operator for the transient heat equation in three spatial dimensions. - Lorenzo Miretti, Emil Björnson, David Gesbert:
Team MMSE Precoding with Applications to Cell-free Massive MIMO. - Sz-Ting Tzeng, Nirav Ajmeri, Munindar P. Singh:
Noe: Norms Emergence and Robustness Based on Emotions in Multiagent Systems. - Mohammad Iman Alizadeh, Muhammad Usman, Florin Capitanescu:
A direct approach to stochastic multi-period AC security constrained optimal power flow. - Javier Renedo, Lukas Sigrist, Luis Rouco, Aurelio García-Cerrada:
Impact on power system transient stability of AC-line-emulation controllers of VSC-HVDC links. - Joan Espasa, Ian P. Gent, Ruth Hoffmann
, Christopher Jefferson
, Alice M. Lynch:
Using Small MUSes to Explain How to Solve Pen and Paper Puzzles. - Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Divide-and-conquer based Large-Scale Spectral Clustering. - Azad Ghaffari, Manavendra Desai:
Safety-Control of Mobile Robots Under Time-Delay Using Barrier Certificates and a Two-Layer Predictor. - Moysey Brio, Jean-Guy Caputo, Hannah Kravitz:
Spectral solutions of PDEs on networks. - Xinglong Sun, Guangliang Han, Lihong Guo, Tingfa Xu, Jianan Li, Peixun Liu:
Updatable Siamese Tracker with Two-stage One-shot Learning. - Zhiyue Wu, Hongzuo Xu, Guansong Pang, Fengyuan Yu, Yijie Wang, Songlei Jian, Yongjun Wang:
DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities. - Philippe Balbiani, Martín Diéguez, David Fernández-Duque:
Some constructive variants of S4 with the finite model property. - Elena Andreeva, Rishiraj Bhattacharyya, Arnab Roy:
Compactness of Hashing Modes and Efficiency beyond Merkle Tree. - Martin Lackner, Jan Maly:
Perpetual Voting: The Axiomatic Lens. - Seung Wook Kim, Jonah Philion, Antonio Torralba, Sanja Fidler:
DriveGAN: Towards a Controllable High-Quality Neural Simulation. - Haoxi Zhan, Xiaobing Pei:
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense. - Kadir Korkmaz, Joachim Bruneau-Queyreix, Sonia Ben Mokhtar, Laurent Réveillère:
Dandelion: multiplexing Byzantine agreements to unlock blockchain performance. - Hao Qiu, Leonardo Lucio Custode, Giovanni Iacca:
Black-box adversarial attacks using Evolution Strategies. - Siwei Wu, Dabao Wang, Jianting He, Yajin Zhou, Lei Wu, Xingliang Yuan, Qinming He, Kui Ren:
DeFiRanger: Detecting Price Manipulation Attacks on DeFi Applications. - Yu Tian, Jian Ren, Menglei Chai, Kyle Olszewski, Xi Peng, Dimitris N. Metaxas, Sergey Tulyakov:
A Good Image Generator Is What You Need for High-Resolution Video Synthesis. - Tomasz Bochacik, Pawel Przybylowicz:
On the randomized Euler schemes for ODEs under inexact information. - Jiehua Chen, Martin Lackner, Jan Maly:
Participatory Budgeting with Donations and Diversity Constraints. - Esen Yel, Nicola Bezzo:
A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions. - Zeqi Li, Ruowei Jiang, Parham Aarabi:
Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation. - Jean-Raphaël Gaglione, Daniel Neider, Rajarshi Roy, Ufuk Topcu, Zhe Xu:
Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach. - Sebastian Hönel:
Technical Reports Compilation: Detecting the Fire Drill anti-pattern using Source Code. - Youjiang Xu, Linchao Zhu, Lu Jiang, Yi Yang:
Faster Meta Update Strategy for Noise-Robust Deep Learning. - Nathaniel Hudson, Hana Khamfroush, Daniel E. Lucani:
QoS-Aware Placement of Deep Learning Services on the Edge with Multiple Service Implementations. - Paul J. Bonczek, Nicola Bezzo:
Detection of Hidden Attacks on Cyber-Physical Systems from Serial Magnitude and Sign Randomness Inconsistencies. - Immanuel Haffner, Jens Dittrich:
Fast Compilation and Execution of SQL Queries with WebAssembly. - Sandeep S. Kulkarni, Gabe Appleton, Duong N. Nguyen:
Achieving Causality with Physical Clocks. - Paul J. Bonczek, Nicola Bezzo:
Detection and Inference of Randomness-based Behavior for Resilient Multi-vehicle Coordinated Operations. - Sanghamitra Dutta, Liang Ma, Tanay Kumar Saha, Di Lu, Joel R. Tetreault, Alex Jaimes:
GTN-ED: Event Detection Using Graph Transformer Networks. - Connor J. McLaughlin, Efi G. Kokkotou, Jean A. King, Lisa A. Conboy, Ali Yousefi:
Latent Factor Decomposition Model: Applications for Questionnaire Data. - Jean-Baptiste Truong, William Gallagher, Tian Guo, Robert J. Walls:
Memory-Efficient Deep Learning Inference in Trusted Execution Environments. - John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Paraphrastic Representations at Scale. - François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry:
Deep Multi-View Stereo gone wild. - Andrew D. Davis, Dimitrios Giannakis:
Graph-theoretic algorithms for Kolmogorov operators: Approximating solutions and their gradients in elliptic and parabolic problems on manifolds. - Yulong Tian, Fnu Suya, Fengyuan Xu, David Evans:
Stealthy Backdoors as Compression Artifacts. - Piyawat Lertvittayakumjorn, Francesca Toni:
Explanation-Based Human Debugging of NLP Models: A Survey. - Nick Alonso, Emre Neftci:
Tightening the Biological Constraints on Gradient-Based Predictive Coding. - Jalees Nehvi, Vladislav Golyanik, Franziska Mueller, Hans-Peter Seidel, Mohamed Elgharib, Christian Theobalt:
Differentiable Event Stream Simulator for Non-Rigid 3D Tracking. - Daniel A. Roberts:
Why is AI hard and Physics simple? - Chang Liu, Dennice F. Gayme:
Structured input-output analysis of transitional wall-bounded flows. - Richard I. Anderson, Sherry H. Suyu, Antoine Mérand
:
Maintaining scientific discourse during a global pandemic: ESO's first e-conference #H02020. - Yuexia L. Lin, Nicholas J. Derr, Chris H. Rycroft:
Eulerian simulation of complex suspensions and biolocomotion in three dimensions. - Farzad Pourbabaee:
Robust Experimentation in the Continuous Time Bandit Problem. - Timo Lohrenz, Zhengyang Li, Tim Fingscheidt:
Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition. - Francisco L. Andrade, Mário A. T. Figueiredo, João Xavier:
Distributed Picard Iteration. - Kajetan Grodecki, Aditya Killekar, Andrew Lin
, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry D. Pressman, Peter Julien, Judit Simon, Pál Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Maria Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Gianfranco Parati, Franco Cernigliaro, Nitesh Nerlekar, Camilla Torlasco, Gianluca Pontone, Damini Dey, Piotr J. Slomka:
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks. - Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne:
Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images. - Zhe Zhang, Linjun Zhang:
High-Dimensional Differentially-Private EM Algorithm: Methods and Near-Optimal Statistical Guarantees. - Yunhao Yang, Yuhan Zheng, Yi Wang, Chandrajit Bajaj
:
Learning Deep Latent Subspaces for Image Denoising. - Marc René Schädler:
Interactive spatial speech recognition maps based on simulated speech recognition experiments. - Gabriele Ciaramella, Felix Kwok, Georg Müller:
Nonlinear optimized Schwarz preconditioner for elliptic optimal control problems. - Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia:
Allocation of Fungible Resources via a Fast, Scalable Price Discovery Method. - Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska:
Edge-promoting adaptive Bayesian experimental design for X-ray imaging. - Satoshi Sunada, Kazutaka Kanno, Atsushi Uchida:
Using multidimensional speckle dynamics for high-speed, large-scale, parallel photonic computing. - Jingfeng Lu, Shuo Wang, Ping Li, Dong Ye:
High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation. - Tanmay Chakraborty, Utkarsh Trehan:
SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification. - Giorgio Barnabò, Giovanni Trappolini, Lorenzo Lastilla, Cesare Campagnano, Angela Fan, Fabio Petroni, Fabrizio Silvestri:
CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGAN. - Léonard Monsaingeon, Dmitry Vorotnikov:
Schrödinger encounters Fisher and Rao: a survey. - Ashkan Khakzar, Yang Zhang, Wejdene Mansour, Yuezhi Cai, Yawei Li, Yucheng Zhang, Seong Tae Kim, Nassir Navab:
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features. - Emile van Krieken, Jakub M. Tomczak, Annette ten Teije:
Storchastic: A Framework for General Stochastic Automatic Differentiation. - Tadhg M. Garton, Caitriona M. Jackman, Andy W. Smith, Kiley L. Yeakel, Shane A. Maloney, Jon Vandegriff:
Machine Learning Applications to Kronian Magnetospheric Reconnection Classification. - Jürgen Willms:
A note on Barker sequences of even length. - Jakub Wisniewski, Przemyslaw Biecek:
fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation. - Betül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka:
DIVERSE: bayesian Data IntegratiVE learning for precise drug ResponSE prediction. - Reza Pourreza, Taco S. Cohen:
Extending Neural P-frame Codecs for B-frame Coding. - Shixiang Zhu, He Wang, Yao Xie:
Data-Driven Optimization for Police Zone Design. - José M. Domínguez, Georgios Fourtakas, Corrado Altomare, Ricardo B. Canelas, Angelo Tafuni, Orlando García-Feal, Ivan Martínez-Estévez, Athanasios Mokos, Renato Vacondio, Alejandro J. C. Crespo, Benedict D. Rogers, Peter K. Stansby, Moncho Gómez-Gesteira:
State-of-the-art SPH solver DualSPHysics: from fluid dynamics to multiphysics problems. - Jana Lasser
, Johannes Zuber, Johannes Sorger, Elisabeth Klager, Maria Kletecka-Pulker, Harald Willschke, Katrin Stangl, Sarah Stadtmann, Christian Haslinger, Peter Klimek, Thomas Wochele-Thoma:
Agent-based simulations for optimized prevention of the spread of SARS-CoV-2 in nursing homes. - Vítor Cerqueira, Luís Torgo, Carlos Soares:
Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators. - Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, Danilo J. Rezende:
NeRF-VAE: A Geometry Aware 3D Scene Generative Model. - Hauke Haehne, Jose Casadiego, Joachim Peinke, Marc Timme:
Detecting Hidden Units and Network Size from Perceptible Dynamics. - Alex Bihlo, Roman O. Popovych:
Physics-informed neural networks for the shallow-water equations on the sphere. - Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn:
TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution. - Minsu Kang, Jihyun Lee, Simin Kim, Injung Kim:
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech. - Florian Pargent, Florian Pfisterer, Janek Thomas, Bernd Bischl:
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features. - Michael Platzer, Thomas Reutterer:
Holdout-Based Fidelity and Privacy Assessment of Mixed-Type Synthetic Data. - Joseph Zammit, Ian J. Wassell:
Distributed Video Adaptive Block Compressive Sensing. - Jonathan Larson, Tiona Zuzul, Emily Cox Pahnke, Neha Parikh Shah, Patrick Bourke, Nicholas Caurvina, Fereshteh Amini, Youngser Park, Joshua T. Vogelstein, Jeffrey Weston, Christopher M. White, Carey E. Priebe:
Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic. - Nima Hatami, Mohsin Bilal, Nasir M. Rajpoot:
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis. - Gregory D. Kahanamoku-Meyer, Soonwon Choi, Umesh V. Vazirani, Norman Y. Yao:
Classically-Verifiable Quantum Advantage from a Computational Bell Test. - Fabian Gabel
, Dennis Gallaun, Julian Großmann
, Riko Ukena:
Finite section method for aperiodic Schrödinger operators. - Stefano Buzzi, Emanuele Grossi, Marco Lops, Luca Venturino:
Radar Target Detection aided by Reconfigurable Intelligent Surfaces. - Axel Berg
, Mark O'Connor, Miguel Tairum Cruz:
Keyword Transformer: A Self-Attention Model for Keyword Spotting. - Joshua Cook:
Unitarization Through Approximate Basis. - Saahil Jain, Akshay Smit, Andrew Y. Ng, Pranav Rajpurkar:
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation. - Mathias Louboutin, Felix J. Herrmann:
Ultra-low memory seismic inversion with randomized trace estimation. - Apostolos Filippas, John Joseph Horton:
The Production and Consumption of Social Media. - Phillip M. Maffettone, Aidan C. Daly, Daniel Olds:
Constrained non-negative matrix factorization enabling real-time insights of in situ and high-throughput experiments. - Kang-wook Kim, Seung Won Park
, Myun-chul Joe:
Assem-VC: Realistic Voice Conversion by Assembling Modern Speech Synthesis Techniques. - Wei Rao, Yihui Fu, Yanxin Hu, Xin Xu, Yvkai Jv, Jiangyu Han, Zhongjie Jiang, Lei Xie, Yannan Wang, Shinji Watanabe, Zheng-Hua Tan, Hui Bu, Tao Yu, Shidong Shang:
INTERSPEECH 2021 ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video Conferencing. - Jae Woong Soh, Nam Ik Cho:
Variational Deep Image Denoising. - Jayadev Acharya, Clément L. Canonne, Prathamesh Mayekar, Himanshu Tyagi:
Information-constrained optimization: can adaptive processing of gradients help? - Mobarakol Islam, V. Jeya Maria Jose, Hongliang Ren:
Glioma Prognosis: Segmentation of the Tumor and Survival Prediction using Shape, Geometric and Clinical Information. - Mobarakol Islam, Vibashan VS, V. Jeya Maria Jose, Navodini Wijethilake, Uppal Utkarsh, Hongliang Ren:
Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet. - Siyuan Feng, Piotr Zelasko, Laureano Moro-Velázquez, Odette Scharenborg:
Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation. - Hugo Cisneros, Josef Sivic, Tomás Mikolov:
Visualizing computation in large-scale cellular automata. - Georg Zotti, Susanne M. Hoffmann, Alexander Wolf
, Fabien Chéreau, Guillaume Chéreau:
The Simulated Sky: Stellarium for Cultural Astronomy Research. - Bas Vroling, Stephan Heijl:
White paper: The Helix Pathogenicity Prediction Platform. - Lorenzo Campoli, Elena V. Kustova, Polina Maltseva
:
Assessment of machine learning methods for state-to-state approaches. - Dennis Núñez Fernández
, Lamberto Ballan, Gabriel Jiménez-Avalos, Jorge Coronel, Patricia Sheen, Mirko Zimic:
Prediction of Tuberculosis using U-Net and segmentation techniques. - Noyan Cem Sevüktekin, Andrew C. Singer:
Blind Exploration and Exploitation of Stochastic Experts. - Ziwen Ke, Zhuoxu Cui, Wenqi Huang, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep Manifold Learning for Dynamic MR Imaging. - Mobarakol Islam, Navodini Wijethilake, Hongliang Ren:
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction. - Weipeng Zhang, Chaoran Huang, Simon Bilodeau, Aashu Jha, Eric C. Blow, Thomas Ferreira de Lima, Bhavin J. Shastri, Paul R. Prucnal:
Microring Weight Banks Control beyond 8.5-bits Accuracy. - Jean-Luc Baril, Sergey Kirgizov:
Bijections from Dyck and Motzkin meanders with catastrophes to pattern avoiding Dyck paths. - Jonathan I. Tamir, Onur Beker, Heng Yu, Elfar Adalsteinsson, Berkin Bilgic:
Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI. - Marko S. Andjelkovic, Junchao Chen, Aleksandar Simevski, Oliver Schrape, Milos Krstic, Rolf Kraemer:
Monitoring of Particle Flux and LET Variations with Pulse Stretching Inverters. - Marko S. Andjelkovic, Junchao Chen, Aleksandar Simevski, Zoran Stamenkovic, Milos Krstic, Rolf Kraemer:
A Review of Particle Detectors for Space-Borne Self-Adaptive Fault-Tolerant Systems. - Meng Yu, Chunlei Zhang, Yong Xu, Shi-Xiong Zhang, Dong Yu:
MetricNet: Towards Improved Modeling For Non-Intrusive Speech Quality Assessment. - Simone Proietti, Roberto Flores, Elena Fantino, Mauro Pontani:
Long-Term Orbit Dynamics of Decommissioned Geostationary Satellites. - Soumya Gupta
, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher:
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy. - Neelay Fruitwala, Alex B. Walter, John I. Bailey III, Rupert Dodkins, Benjamin A. Mazin:
End-to-end Deep Learning Pipeline for Microwave Kinetic Inductance Detector (MKID) Resonator Identification and Tuning. - Daniel E. Shea, Rajiv Giridharagopal, David S. Ginger, Steven L. Brunton, J. Nathan Kutz:
Extraction of instantaneous frequencies and amplitudes in nonstationary time-series data. - Flemming Holtorf, Paul I. Barton:
Tighter bounds on transient moments of stochastic chemical systems. - You Zhang, Ge Zhu, Fei Jiang, Zhiyao Duan:
An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems. - Eduard Rohan, Vladimír Lukes:
Homogenization of the vibro-acoustic transmission on periodically perforated elastic plates with arrays of resonators. - Mangal Prakash, Mauricio Delbracio, Peyman Milanfar, Florian Jug:
Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods. - Yu Wang, Chee Siang Leow, Akio Kobayashi, Takehito Utsuro, Hiromitsu Nishizaki:
ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi. - Lisu Yu, Zilong Liu, Miaowen Wen, Donghong Cai, Shuping Dang, Yuhao Wang, Pei Xiao:
Sparse Code Multiple Access for 6G Wireless Communication Networks: Recent Advances and Future Directions. - Tao Wang, Wenjun Xia, Zexin Lu, Huaiqiang Sun, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang:
IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction. - Myeonghun Jeong, Hyeongju Kim, Sung Jun Cheon, Byoung Jin Choi, Nam Soo Kim:
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech. - Jonas Denck, Jens Guehring, Andreas Maier, Eva Rothgang:
MR-Contrast-Aware Image-to-Image Translations with Generative Adversarial Networks. - Chao Fan, Xiangqi Jiang, Ronald Lee, Ali Mostafavi:
Data-driven Contact Network Models of COVID-19 Reveal Trade-offs between Costs and Infections for Optimal Local Containment Policies. - Clark Alexander:
A Note on Consistent Rotation Maps of Graph Cartesian Products. - Rosa Cao, Daniel Yamins:
Explanatory models in neuroscience: Part 2 - constraint-based intelligibility. - Rosa Cao, Daniel Yamins:
Explanatory models in neuroscience: Part 1 - taking mechanistic abstraction seriously. - Carlos Rojas-Azabache, Karen Vilca-Janampa, Renzo Guerrero-Huayta, Dennis Núñez Fernández
:
Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging. - Ayse S. Cakmak, Samuel Densen, Gabriel Najarro, Pratik Rout, Christopher J. Rozell, Omer T. Inan, Amit J. Shah, Gari D. Clifford:
Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure. - Zhengkun Tian, Jiangyan Yi, Jianhua Tao, Ye Bai, Shuai Zhang, Zhengqi Wen, Xuefei Liu:
TSNAT: Two-Step Non-Autoregressvie Transformer Models for Speech Recognition. - Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative Locally Linear Embedding. - Thomas L. Athey, Jacopo Teneggi, Joshua T. Vogelstein, Daniel Tward, Ulrich Mueller, Michael I. Miller:
Fitting Splines to Axonal Arbors Quantifies Relationship between Branch Order and Geometry. - Chang Zeng, Xin Wang, Erica Cooper, Junichi Yamagishi:
Attention Back-end for Automatic Speaker Verification with Multiple Enrollment Utterances. - Chao Chen, Catalina Raymond, Bill Speier, Xinyu Jin, Timothy F. Cloughesy, Dieter R. Enzmann, Benjamin M. Ellingson, Corey W. Arnold:
Synthesizing MR Image Contrast Enhancement Using 3D High-resolution ConvNets. - Xiaojing Chen, Wenchang Chu:
Triplicate Dual Series of Dougall-Dixon Theorem. - Vijay Shirhatti, Suresh Nuthalapati
, Vaishakh Kedambaimoole, Saurabh Kumar, Mangalore Manjunatha Nayak, Konandur Rajanna:
Laser-patterned multifunctional sensor array with graphene nanosheets as a smart biomonitoring fashion accessory. - Haijin Wang, Caomingzhe Si, Junhua Zhao:
A Federated Learning Framework for Non-Intrusive Load Monitoring. - Thinh T. Doan:
Finite-Time Convergence Rates of Nonlinear Two-Time-Scale Stochastic Approximation under Markovian Noise. - Martin Molina-Fructuoso, Ryan W. Murray:
Tukey Depths and Hamilton-Jacobi Differential Equations. - Ron Levie, Efrat Krimer Avraham, Nir A. Sochen:
Wavelet Design with Optimally Localized Ambiguity Function: a Variational Approach. - Sebastian M. Cioaba, Anthony Ostuni, Davin Park, Sriya Potluri, Tanay V. Wakhare, Wiseley Wong:
Extremal Graphs for a Spectral Inequality on Edge-Disjoint Spanning Trees. - Athanasios Vlontzos, Yueqi Cao, Luca Schmidtke, Bernhard Kainz, Anthea Monod:
Topological Data Analysis of Database Representations for Information Retrieval. - Roman A. Solovyev, Alexandr A. Kalinin, Tatiana Gabruseva:
3D Convolutional Neural Networks for Stalled Brain Capillary Detection. - Devansh Agrawal, Dimitra Panagou:
Safe Control Synthesis via Input Constrained Control Barrier Functions. - Stephen Y. Zhang:
Non-negative matrix and tensor factorisations with a smoothed Wasserstein loss. - Hong-Bae Jeon, Sung-Ho Park, Jaedon Park, Kaibin Huang, Chan-Byoung Chae:
An Energy-efficient Aerial Backhaul System with Reconfigurable Intelligent Surface. - Ali Hariri, Darya Dyachkova, Sergei Gleyzer:
Graph Generative Models for Fast Detector Simulations in High Energy Physics. - Keigo Kusumegi, Yukie Sano:
Citations and gender diversity in reciprocal acknowledgement networks. - Fakai Wang, Kang Zheng, Yirui Wang, Xiaoyun Zhou, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao:
Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray. - Ruslan Sharipov:
On a simplified version of Hadamard's maximal determinant problem. - Masako Kishida, Masaki Ogura:
Deep Unfolding for Nonlinear Maximum Hands-off Control. - Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen:
FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images. - Jinwei Lu, Ningrui Zhao:
Application of Neural Network Algorithm in Propylene Distillation. - Gege Wen, Catherine Hay, Sally M. Benson:
CCSNet: a deep learning modeling suite for CO2 storage. - Vítor Cerqueira, Luís Torgo, Carlos Soares, Albert Bifet:
Model Compression for Dynamic Forecast Combination. - Hideaki Ishibashi, Hideitsu Hino:
Stopping Criterion for Active Learning Based on Error Stability. - Benjamin Merlin Bumpus, Zoltan A. Kocsis:
Spined categories: generalizing tree-width beyond graphs. - Valentina Semenova, Julian Winkler:
Reddit's Self-Organized Bull Runs. - Baiwei Guo, Orcun Karaca, Sepide Azhdari, Maryam Kamgarpour, Giancarlo Ferrari-Trecate:
Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness. - Jason J. Bramburger, Steven L. Brunton, J. Nathan Kutz:
Deep Learning of Conjugate Mappings. - Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy:
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation. - Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, PhengAnn Heng:
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images. - Roberto Flores, Burhani Makame Burhani, Elena Fantino:
A Method for Accurate and Efficient Propagation of Satellite Orbits: A Case Study for a Molniya Orbit. - Vasiliy Kuzmin, Fyodor Kravchenko, Artem Sokolov, Jie Geng:
Real-time Streaming Wave-U-Net with Temporal Convolutions for Multichannel Speech Enhancement. - Desh Raj, Sanjeev Khudanpur:
Reformulating DOVER-Lap Label Mapping as a Graph Partitioning Problem. - Donald Ebeigbe, Tyrus Berry, Michael M. Norton, Andrew J. Whalen, Dan Simon, Timothy D. Sauer, Steven J. Schiff:
A Generalized Unscented Transformation for Probability Distributions. - Israel L. Donato Ridgley, Randy A. Freeman, Kevin M. Lynch:
Self-Healing First-Order Distributed Optimization. - Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng:
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation. - Jorge F. Lazo, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Michel de Mathelin, Elena De Momi:
Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy. - Animesh Sinha, Utkarsh Azad
, Harjinder Singh:
Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search. - Julius Ceasar Aguma:
An upper bound on the Universality of the Quantum Approximate Optimization Algorithm. - Rishikesh Ranade, Kevin Gitushi, Tarek Echekki:
Generalized Joint Probability Density Function Formulation inTurbulent Combustion using DeepONet. - Osman Boyaci, Amarachi Umunnakwe
, Abhijeet Sahu, Mohammad Rasoul Narimani, Muhammad Ismail, Katherine R. Davis, Erchin Serpedin:
Graph Neural Networks Based Detection of Stealth False Data Injection Attacks in Smart Grids. - Aswin Sivaraman, Minje Kim:
Self-Supervised Learning for Personalized Speech Enhancement. - Aswin Sivaraman, Sunwoo Kim, Minje Kim:
Personalized Speech Enhancement through Self-Supervised Data Augmentation and Purification. - Simon Becker, Nilanjana Datta, Michael G. Jabbour
:
From Classical to Quantum: Uniform Continuity Bounds on Entropies in Infinite Dimensions. - Faeze Gholamiankhah, Samaneh Mostafapour, Nouraddin Abdi Goushbolagh, Seyedjafar Shojaerazavi, Parvaneh Layegh, Seyyed Mohammad Tabatabaei, Hossein Arabi:
Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients. - Juan P. Agnelli, Ville Kolehmainen, Matti Lassas, Petri Ola, Samuli Siltanen:
Simultaneous reconstruction of conductivity, boundary shape and contact impedances in electrical impedance tomography. - Girmaw Abebe Tadesse, Hamza A. Javed, Yong Liu, Jin Liu, Jiyan Chen, Komminist Weldemariam, Tingting Zhu:
DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time. - Tai Le Quy
, Sergej Zerr
, Eirini Ntoutsi, Wolfgang Nejdl:
Data augmentation for dealing with low sampling rates in NILM. - Yizheng Liao, Yang Weng, Chin-Woo Tan, Ram Rajagopal:
Quick Line Outage Identification in Urban Distribution Grids via Smart Meters. - Mehrad Jaloli
, Divya Choudhary, Marzia Cescon:
Neurological Status Classification Using Convolutional Neural Network. - Pranav M. Pawar, Amir Leshem:
Distributed Deep Reinforcement Learning for Collaborative Spectrum Sharing. - Jayalakshmi Mangalagiri, David Chapman, Aryya Gangopadhyay, Yaacov Yesha, Joshua Galita, Sumeet Menon, Yelena Yesha, Babak Saboury, Michael Morris, Phuong Nguyen:
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network. - Aleksandr Beknazaryan:
Deep neural network approximation of analytic functions. - Felix X.-F. Ye, Sichen Yang
, Mauro Maggioni:
Nonlinear model reduction for slow-fast stochastic systems near manifolds. - Roza Chojnacka, Jason Pelecanos, Quan Wang, Ignacio López-Moreno:
SpeakerStew: Scaling to Many Languages with a Triaged Multilingual Text-Dependent and Text-Independent Speaker Verification System. - Naoyuki Kanda, Guoli Ye, Yashesh Gaur, Xiaofei Wang, Zhong Meng, Zhuo Chen, Takuya Yoshioka:
End-to-End Speaker-Attributed ASR with Transformer. - Rodrigo Aldana-López, David Gómez-Gutiérrez, Miguel A. Trujillo, M. Navarro-Gutiérrez, Javier Ruiz-León, Héctor M. Becerra:
A predefined-time first-order exact differentiator based on time-varying gains. - Yahao Chen, Witold Respondek:
Feedback linearization of nonlinear differential-algebraic control systems. - Alexander D'Amour:
Revisiting Rashomon: A Comment on "The Two Cultures". - A. K. M. Bahalul Haque, Tahmid Hasan Pranto, Abdulla All Noman, Atik Mahmood:
Insight about Detection, Prediction and Weather Impact of Coronavirus (Covid-19) using Neural Network. - Alexey A. Bobtsov, Bowen Yi, Romeo Ortega, Alessandro Astolfi:
Generation of new exciting regressors for consistent on-line estimation for a scalar parameter. - Alexandrea K. Ramnarine:
In-Line Image Transformations for Imbalanced, Multiclass Computer Vision Classification of Lung Chest X-Rays. - Lian Yu, Nengfeng Zhou:
Survey of Imbalanced Data Methodologies. - Ngoc Huy Nguyen, Ha Quy Nguyen, Nghia Trung Nguyen, Thang Viet Nguyen, Hieu Huy Pham, Tuan Ngoc-Minh Nguyen:
A clinical validation of VinDr-CXR, an AI system for detecting abnormal chest radiographs. - Yeonjong Shin, Jérôme Darbon, George Em Karniadakis:
A Caputo fractional derivative-based algorithm for optimization. - Lianzi Jiang:
Discrete time approximation of fully nonlinear HJB equations via stochastic control problems under the G-expectation framework. - Junhyeok Lee, Seungu Han:
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling. - Dong Kyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park:
Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs. - Yuhao Zhang, Shuhang Wang, Haoxiang Wu, Kejia Hu, Shufan Ji:
Brain Tumors Classification for MR images based on Attention Guided Deep Learning Model. - Jiawei Zhang, Yanchun Zhang, Xiaowei Xu:
Pyramid U-Net for Retinal Vessel Segmentation. - Elissa Eggenweiler, Marco Discacciati, Iryna Rybak:
Analysis of the Stokes-Darcy problem with generalised interface conditions. - Lennart J. Haas, Christian Ikenmeyer:
Young Flattenings in the Schur module basis. - Branislav Gerazov, Michael Wagner:
ProsoBeast Prosody Annotation Tool. - Hadi Alizadeh, Didem Gözüpek:
Upper paired domination versus upper domination. - Sanghoon Myung
, Hyunjae Jang, Byungseon Choi, Jisu Ryu, Hyuk Kim, Sang Wuk Park, Changwook Jeong, Daesin Kim:
A Novel Approach for Semiconductor Etching Process with Inductive Biases. - Kiran Karra, Alan McCree:
Speaker Diarization using Two-pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings. - Jirong Yi:
Solving Large Scale Quadratic Constrained Basis Pursuit. - Ashkan Khakzar, Sabrina Musatian, Jonas Buchberger, Icxel Valeriano Quiroz, Nikolaus Pinger, Soroosh Baselizadeh, Seong Tae Kim, Nassir Navab:
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models. - Lin Zhang, Xin Wang, Erica Cooper, Junichi Yamagishi, Jose Patino, Nicholas W. D. Evans:
An Initial Investigation for Detecting Partially Spoofed Audio. - Stefania Bellavia, Gianmarco Gurioli, Benedetta Morini, Philippe L. Toint:
The Impact of Noise on Evaluation Complexity: The Deterministic Trust-Region Case. - Qian Ning, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi:
Searching Efficient Model-guided Deep Network for Image Denoising. - Anton Mitrofanov, Mariya Korenevskaya, Ivan Podluzhny, Yuri Y. Khokhlov, Aleksandr Laptev, Andrei Andrusenko, Aleksei Ilin, Maxim Korenevsky, Ivan Medennikov, Aleksei Romanenko:
LT-LM: a novel non-autoregressive language model for single-shot lattice rescoring. - Kristian Fossum, Sergey Alyaev, Jan Tveranger, Ahmed H. Elsheikh:
Deep learning for prediction of complex geology ahead of drilling. - Kirill P. Kalinin, Natalia G. Berloff:
Large-scale Sustainable Search on Unconventional Computing Hardware. - Serge Gratton, Sadok Jerad, Philippe L. Toint:
Hölder Gradient Descent and Adaptive Regularization Methods in Banach Spaces for First-Order Points. - Themos Stafylakis, Johan Rohdin, Lukás Burget:
Speaker embeddings by modeling channel-wise correlations. - Huan Li, Zhouchen Lin:
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization. - Hossein Nazemi-Rafi, Masoud Movahhedi:
A Wave Trapping Dispersive Delay Structure Based on Substrate Integrated Waveguide (SIW). - Li Xiao, Yinhao Li, Luxi Qv, Xinxia Tian, Yijie Peng, S. Kevin Zhou:
Pathological Image Segmentation with Noisy Labels. - María Virginia Sabando, Ignacio Ponzoni, Evangelos E. Milios, Axel J. Soto:
Using Molecular Embeddings in QSAR Modeling: Does it Make a Difference? - Nooshin Mojab, Vahid Noroozi, Abdullah Aleem, Manoj Prabhakar Nallabothula, Joseph Baker, Dimitri T. Azar, Mark Rosenblatt, R. V. Paul Chan, Darvin Yi, Philip S. Yu, Joelle A. Hallak:
I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications. - Quan Zhao, Weiqing Ren, Zhen Zhang:
A Thermodynamically Consistent Model and Its Conservative Numerical Approximation for Moving Contact Lines with Soluble Surfactants. - TrungTin Nguyen
, Hien Duy Nguyen, Faicel Chamroukhi, Florence Forbes:
A non-asymptotic penalization criterion for model selection in mixture of experts models. - Jan Niklas Fuhg, Christoph Böhm
, Nikolaos Bouklas, Amelie Fau, Peter Wriggers, Michele Marino:
Model-data-driven constitutive responses: application to a multiscale computational framework. - Pepe Eulzer, Monique Meuschke, Carsten Klingner, Kai Lawonn:
Visualizing Carotid Blood Flow Simulations for Stroke Prevention. - David Rügamer, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Nadja Klein
, Chris Kolb, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Christian L. Müller:
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. - Jumon Nozaki, Tatsuya Komatsu:
Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions. - Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao:
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models. - Jacob Pfau, Albert T. Young, Jerome Wei, Maria L. Wei, Michael J. Keiser:
Robust Semantic Interpretability: Revisiting Concept Activation Vectors. - Pengyu Yuan, Wenyi Hu, Xuqing Wu, Jiefu Chen, Hien Van Nguyen:
First arrival picking using U-net with Lovasz loss and nearest point picking method. - T. Karthick, Jenny Kaufmann, Vaidy Sivaraman:
Coloring graph classes with no induced fork via perfect divisibility. - Michael Weylandt, George Michailidis, T. Mitchell Roddenberry:
Sparse Partial Least Squares for Coarse Noisy Graph Alignment. - Samuele Cornell, Alessio Brutti, Marco Matassoni, Stefano Squartini:
Learning to Rank Microphones for Distant Speech Recognition. - Edwin Vargas, Julien N. P. Martel, Gordon Wetzstein, Henry Arguello:
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems. - Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Soft-Label Anonymous Gastric X-ray Image Distillation. - Niko Moritz, Takaaki Hori, Jonathan Le Roux:
Capturing Multi-Resolution Context by Dilated Self-Attention. - Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci:
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. - Daniel Ahfock, Geoffrey J. McLachlan:
Harmless label noise and informative soft-labels in supervised classification. - Yuchen He, Sihong Duan, Jianxing Li, Hui Chen, Huaibin Zheng, Jianbin Liu, Shitao Zhu, Zhuo Xu:
Speckles-Training-Based Denoising Convolutional Neural Network Ghost Imaging. - Jee-weon Jung, Hee-Soo Heo, Youngki Kwon, Joon Son Chung, Bong-Jin Lee:
Three-class Overlapped Speech Detection using a Convolutional Recurrent Neural Network. - Youngki Kwon, Jee-weon Jung, Hee-Soo Heo, You Jin Kim, Bong-Jin Lee, Joon Son Chung:
Adapting Speaker Embeddings for Speaker Diarisation. - Zhengkun Tian, Jiangyan Yi, Ye Bai, Jianhua Tao, Shuai Zhang, Zhengqi Wen:
FSR: Accelerating the Inference Process of Transducer-Based Models by Applying Fast-Skip Regularization. - Mingyuan Wang, Adrian Barbu:
Online Feature Screening for Data Streams with Concept Drift. - Miguel Angel Moreles, Gerardo Hernández-Dueñas, Pedro González-Casanova
:
Bathymetry and friction estimation from transient velocity data for 1D shallow water flows in open channels with varying width. - Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek:
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing. - Jheng-Hao Lin, Yist Y. Lin, Chung-Ming Chien, Hung-yi Lee:
S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations. - Hao Wang, Xiangyu Yang, Wei Jiang:
An Iteratively Reweighted Method for Sparse Optimization on Nonconvex 𝓁p Ball. - AmirEmad Ghassami, Andrew Ying, Ilya Shpitser, Eric Tchetgen Tchetgen:
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals. - Kshitij Kumar Pandey, P. Viswanathan:
Multivariate fractal interpolation functions: Some approximation aspects and an associated fractal interpolation operator. - Zongming Ma, Sagnik Nandy:
Community Detection with Contextual Multilayer Networks. - Qi Lü, Penghui Wang, Yanqing Wang, Xu Zhang:
Numerics for Stochastic Distributed Parameter Control Systems: a Finite Transposition Method. - Digvijay Boob, Cristóbal Guzmán:
Optimal Algorithms for Differentially Private Stochastic Monotone Variational Inequalities and Saddle-Point Problems. - Luca Tomasetti, Kjersti Engan, Mahdieh Khanmohammadi, Kathinka Dæhli Kurz:
CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging. - Xugang Lu, Peng Shen, Yu Tsao, Hisashi Kawai:
Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification. - Cheng-Hung Hu, Yi-Chiao Wu, Wen-Chin Huang, Yu-Huai Peng, Yu-Wen Chen, Pin-Jui Ku, Tomoki Toda, Yu Tsao, Hsin-Min Wang:
The AS-NU System for the M2VoC Challenge. - Wei-Cheng Tseng, Chien-yu Huang, Wei-Tsung Kao, Yist Y. Lin, Hung-yi Lee:
Utilizing Self-supervised Representations for MOS Prediction. - Marc Goerigk, Stefan Lendl, Lasse Wulf:
Two-Stage Robust Optimization Problems with Two-Stage Uncertainty. - Marcelo C. Medeiros, Henrique F. Pires:
The Proper Use of Google Trends in Forecasting Models. - Pavel Záviska, Pavel Rajmic, Ondrej Mokrý:
Audio declipping performance enhancement via crossfading. - Xiu Li, Jinli Suo, Weihang Zhang, Xin Yuan, Qionghai Dai:
Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution. - Stephane Doyen, Hugh Taylor, Peter Nicholas, Lewis Crawford, Isabella Young, Michael Sughrue:
Hollow-tree Super: a directional and scalable approach for feature importance in boosted tree models. - Andrei Afonin, Michael Chertkov:
Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation and Optimal Measurement Placement in Power Systems? - Steven Guan, Ko-Tsung Hsu, Matthias Eyassu, Parag V. Chitnis:
Dense Dilated UNet: Deep Learning for 3D Photoacoustic Tomography Image Reconstruction. - Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet:
Prediction with Missing Data. - Alexander Wong, James Ren Hou Lee, Hadi Rahmat-Khah, Ali Sabri, Amer Alaref:
TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Images. - Afaf Taïk, Boubakr Nour, Soumaya Cherkaoui:
Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning. - Simo Särkkä, Ángel F. García-Fernández:
Temporal Parallelisation of Dynamic Programming and Linear Quadratic Control. - Yassine El Maazouz, Marvin Anas Hahn, Alessandro Neri, Mima Stanojkovski:
Valued rank-metric codes. - Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler:
DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python. - Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. - Gen Li, Changxiao Cai, Yuantao Gu, H. Vincent Poor, Yuxin Chen:
Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. - Richard J. Clancy, Stephen Becker:
Approximate maximum likelihood estimators for linear regression with design matrix uncertainty. - Jon Nelson, Marc Vuffray, Andrey Y. Lokhov, Carleton Coffrin:
Single-Qubit Fidelity Assessment of Quantum Annealing Hardware. - Louigi Addario-Berry, Erin Beckman, Jessica Lin:
Cooperative motion in one dimension. - Nicholas Guttenberg:
Evolutionary rates of information gain and decay in fluctuating environments. - Edwin G. Ng, Chung-Cheng Chiu, Yu Zhang, William Chan:
Pushing the Limits of Non-Autoregressive Speech Recognition. - Parfait Atchade-Adelomou, Guillermo Alonso-Linaje:
Quantum Enhanced Filter: QFilter. - Enoch Sakyi-Yeboah, P. S. Andam, Louis Asiedu, Kwabena Doku-Amponsah:
Large Deviations and Information theory for Sub-Critical SINR Randon Network Models. - Takuya Nakagawa, Dai Taguchi, Tomooki Yuasa:
Projection scheme for polynomial diffusions on the unit ball. - Kayhan Behdin, Rahul Mazumder:
Archetypal Analysis for Sparse Nonnegative Matrix Factorization: Robustness Under Misspecification. - Maleeha Khalid Khan, Syed Muhammad Anwar:
M-Net with Bidirectional ConvLSTM for Cup and Disc Segmentation in Fundus Images. - Michael Dellnitz, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz
, Karlson Pfannschmidt
:
Efficient time stepping for numerical integration using reinforcement learning. - Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes. - Yu Zheng, Olugbenga Moses Anubi:
Attack-Resilient Weighted 𝓁1 Observer with Prior Pruning. - Zvika Brakerski, Devika Sharma, Guy Weissenberg:
Unitary Subgroup Testing. - Hao Guan, Chaoyue Wang, Dacheng Tao:
MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data. - Charlie Vanaret:
A global method for mixed categorical optimization with catalogs. - Hemlata Tak, Jee-weon Jung, Jose Patino, Massimiliano Todisco, Nicholas W. D. Evans:
Graph Attention Networks for Anti-Spoofing. - Haneet Kour, Rakesh Kumar Jha:
Electromagnetic Radiation Reduction in 5G Networks and Beyond using Thermal Radiation Mode. - Olivier Rukundo, Marius Pedersen, Øistein Hovde:
Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy. - Tobias Grafke, Sebastian Scholtes, Alfred Wagner, Maria G. Westdickenberg:
Numerics and analysis of Cahn-Hilliard critical points. - Clara Stegehuis, Lotte Weedage
:
Degree distributions in AB random geometric graphs. - Wenqiang Li, Yuk-Ming Tang, Ziyang Wang, Kai Ming Yu, Sandy To:
Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images. - Yajing Liu, Xiulian Peng, Zhiwei Xiong, Yan Lu:
Phoneme-based Distribution Regularization for Speech Enhancement. - Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li:
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation. - Danielle Cox, Erin Meger, Margaret-Ellen Messinger:
Eternal k-domination on graphs. - Anneke Meyer, Suhita Ghosh, Daniel Schindele, Martin Schostak, Sebastian Stober, Christian Hansen, Marko Rak:
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond. - Yoshihisa Tanaka
, Ryosuke Kojima, Shoichi Ishida
, Fumiyoshi Yamashita, Yasushi Okuno:
Complex network prediction using deep learning. - Haoqi Li, Brian R. Baucom
, Shrikanth Narayanan, Panayiotis G. Georgiou:
Unsupervised Speech Representation Learning for Behavior Modeling using Triplet Enhanced Contextualized Networks. - Stephon Alexander, William J. Cunningham, Jaron Lanier, Lee Smolin, Stefan Stanojevic, Michael W. Toomey, Dave Wecker:
The Autodidactic Universe. - Jorge F. Lazo, Sara Moccia, Aldo Marzullo, Michele Catellani, Ottavio De Cobelli, Benoit Rosa, Michel de Mathelin, Elena De Momi:
A transfer-learning approach for lesion detection in endoscopic images from the urinary tract. - Jingkai Yan, Mariam Avagyan, Robert E. Colgan, Doga Veske, Imre Bartos, John N. Wright, Zsuzsa Márka, Szabolcs Márka:
Generalized Approach to Matched Filtering using Neural Networks. - Amir-Hossein Karimi, Tryphon T. Georgiou:
The Challenge of Small Data: Dynamic Mode Decomposition, Redux. - Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee
:
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. - Petr Mánek, Graham W. Van Goffrier, Vignesh Gopakumar, Nikolaos Nikolaou, Jonathan Shimwell, Ingo P. Waldmann:
Fast Regression of the Tritium Breeding Ratio in Fusion Reactors. - Amnon Rosenmann
:
Computing the sequence of k-cardinality assignments. - Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Hongwei Zhu:
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets. - Hervé Bredin, Antoine Laurent:
End-to-end speaker segmentation for overlap-aware resegmentation. - Daniel Ahfock, Geoffrey J. McLachlan:
Semi-Supervised Learning of Classifiers from a Statistical Perspective: A Brief Review. - Mingao Yuan, Zuofeng Shang:
Heterogeneous Dense Subhypergraph Detection. - Louis Warren:
First-order natural deduction in Agda. - Carlos Fernández-Loría, Foster J. Provost:
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters. - Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan:
Replay in Deep Learning: Current Approaches and Missing Biological Elements. - Ginno Millán
:
On the Generation of Self-similar with Long-range Dependent Traffic Using Piecewise Affine Chaotic One-dimensional Maps (Extended Version). - Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Tomomi Takenaga, Naoto Hayashi, Osamu Abe:
X2CT-FLOW: Reconstruction of multiple volumetric chest computed tomography images with different likelihoods from a uni- or biplanar chest X-ray image using a flow-based generative model. - Nadee Seneviratne, Carol Y. Espy-Wilson:
Speech based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model. - Chao Zhang, Xiaojun Chen, Shiqian Ma:
A Riemannian smoothing steepest descent method for non-Lipschitz optimization on submanifolds. - Oded Cats, Rafal Kucharski, Santosh Rao Danda, Menno Yap:
Beyond the Dichotomy: How Ride-hailing Competes with and Complements Public Transport. - Konstantin Donhauser, Mingqi Wu, Fanny Yang:
How rotational invariance of common kernels prevents generalization in high dimensions. - Jacob R. Goodman, Leonardo J. Colombo:
Variational Collision Avoidance on Riemannian Manifolds. - Peter Vieting, Christoph Lüscher, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Feature Replacement and Combination for Hybrid ASR Systems. - Duncan Adamson, Argyrios Deligkas, Vladimir V. Gusev, Igor Potapov:
Ranking Bracelets in Polynomial Time. - Topi Halme, Eyal Nitzan, Visa Koivunen:
Bayesian Method for Spatial Change-Point Detection of Propagating Event. - Hacene Mellah
, Kamel Eddine Hemsas, Rachid Taleb:
Cascade-Forward Neural Network Based on Resilient Backpropagation for Simultaneous Parameters and State Space Estimations of Brushed DC Machines. - Robert Cardona, Eva Miranda, Daniel Peralta-Salas:
Turing universality of the incompressible Euler equations and a conjecture of Moore. - Zachary Wu, Kadina E. Johnston, Frances H. Arnold, Kevin K. Yang:
Protein sequence design with deep generative models. - Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les R. Folio, Philip O. Alderson, Sameer K. Antani:
Improved TB classification using bone-suppressed chest radiographs. - Daniel Straulino, Juan C. Saldarriaga, Jairo A. Gómez, Juan Carlos Duque, Neave O'Clery:
Uncovering commercial activity in informal cities. - Laura M. Ferrari, Guy Abi Hanna, Paolo Volpe, Esma Ismailova, François Brémond, Maria A. Zuluaga:
One-class Autoencoder Approach for Optimal Electrode Set-up Identification in Wearable EEG Event Monitoring. - Marco Dueñas, Víctor Ortiz, Massimo Riccaboni, Francesco Serti:
Assessing the Impact of COVID-19 on Trade: a Machine Learning Counterfactual Analysis. - Valentin Volokitin, Alexey V. Bashinov, Evgeny Efimenko, Arkady A. Gonoskov, Iosif B. Meyerov:
High Performance Implementation of Boris Particle Pusher on DPC++. A First Look at oneAPI. - Liangrui Pan, Peng Zhang, Chalongrat Daengngam, Mitchai Chongcheawchamnan:
A review of artificial intelligence methods combined with Raman spectroscopy to identify the composition of substances. - Vincent Le Guen, Nicolas Thome:
Deep Time Series Forecasting with Shape and Temporal Criteria. - Xiangyun Chu, Elizabeth Combs, Amber Wang, Michael Picheny:
Accented Speech Recognition Inspired by Human Perception. - Faisal Shah Khan, Ning Bao
:
Quantum Prisoner's Dilemma and High Frequency Trading on the Quantum Cloud. - Nanyan Zhu, Chen Liu
, Xinyang Feng, Dipika Sikka, Sabrina J. Gjerswold-Selleck, Scott A. Small, Jia Guo:
Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Synthesized Functional MRI Data. - Swapnil Mache
, Praveen Kumar Pokala, Kusala Rajendran, Chandra Sekhar Seelamantula:
DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network. - Qiuqiang Lin, Chuanhou Gao:
Random Intersection Chains. - Léo Colisson, Frédéric Grosshans, Elham Kashefi:
Non-Destructive Zero-Knowledge Proofs on Quantum States, and Multi-Party Generation of Authorized Hidden GHZ States. - Clément Meignant, Frédéric Grosshans, Damian Markham:
Classical-quantum network coding: a story about tensor. - Alexander Y. Sun, Hongkyu Yoon, Chung-Yan Shih, Zhi Zhong:
Applications of physics-informed scientific machine learning in subsurface science: A survey. - Vinay Verma
, Deepak Singh, Nitin Khanna:
Q-matrix Unaware Double JPEG Detection using DCT-Domain Deep BiLSTM Network. - Dan Crisan, Thomas G. Kurtz, Salvador Ortiz-Latorre:
Particle representation for the solution of the filtering problem. Application to the error expansion of filtering discretizations. - Daniele Bernardo Panaro, Maria Rosaria Mattei, Giovanni Esposito, Jean-Philippe Steyer, Florinda Capone, Luigi Frunzo:
A modeling and simulation study of anaerobic digestion in plug-flow reactors. - Yifan Zhou, Peng Zhang:
Quantum Machine Learning for Power System Stability Assessment. - Fei Feng, Yifan Zhou, Peng Zhang:
Quantum Power Flow. - Evelina Bakhturina, Vitaly Lavrukhin, Boris Ginsburg:
NeMo Toolbox for Speech Dataset Construction. - Feiran Zhao, Keyou You, Tamer Basar:
Global Convergence of Policy Gradient Primal-dual Methods for Risk-constrained LQRs. - Anirudh Sridhar, Soummya Kar
:
On the Accuracy of Deterministic Models for Viral Spread on Networks. - Dipti Mishra, Satish Kumar Singh, Rajat Kumar Singh, Krishna Preetham:
Edge-Aware Image Compression using Deep Learning-based Super-resolution Network. - Nicolas Lepage-Saucier:
Alternating cyclic extrapolation methods for optimization algorithms. - Alexander Immer, Matthias Bauer, Vincent Fortuin, Gunnar Rätsch, Mohammad Emtiyaz Khan:
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning. - Sathvik Udupa, Anwesha Roy, Abhayjeet Singh, Aravind Illa, Prasanta Kumar Ghosh:
Estimating articulatory movements in speech production with transformer networks. - Shiva Sattarpoor, Hamid Barati:
Robust Image Watermarking in Wavelet Domain using GBT-DWT-SVD and Whale Optimization Algorithm. - Saugata Basu, Antonio Lerario:
Hausdorff approximations and volume of tubes of singular algebraic sets. - Daniel Fejgin, Simon Doclo:
Comparison of Binaural RTF-Vector-Based Direction of Arrival Estimation Methods Exploiting an External Microphone. - Shubham Chaudhary, Sadbhawna, Vinit Jakhetiya, Badri N. Subudhi, Ujjwal Baid, Sharath Chandra Guntuku:
Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep Learning. - I. Zakir Ahmed, Hamid R. Sadjadpour, Shahram Yousefi:
An Optimal Low-Complexity Energy-Efficient ADC Bit Allocation for Massive MIMO. - Jixiang Deng, Yong Deng:
QZNs: Quantum Z-numbers. - Tianxiang Zhan, Fuyuan Xiao:
A Fast Evidential Approach for Stock Forecasting. - Austin Alderete:
Efficient Algorithm for Checking 2-Chordal (Doubly Chordal) Bipartite Graphs. - A. S. Sitdikov, A. S. Nikitin:
Quantum protocols at presence of non-abelian superselection rules in the framework of algebraic model. - Liming Zhou, Yongyu Gao, Ziluo Wang, Jiwei Li, Wenbin Zhang:
Complex Spectral Mapping With Attention Based Convolution Recurrent Neural Network for Speech Enhancement. - Oluwaseun Oladimeji
, Alvaro Gonzalez-Castellanos, David Pozo, Yury Dvorkin, Samrat Acharya:
Impact of Electric Vehicle Routing with Stochastic Demand on Grid Operation. - Oluwaseun Oladimeji
, David Pozo, Yury Dvorkin:
The Value of Operational Coordination for EV Fleet Aggregators. - Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, Kees Joost Batenburg:
Unsupervised foreign object detection based on dual-energy absorptiometry in the food industry. - Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. - Hong-Bin Chen, Jean-Christophe Mourrat, Jiaming Xia:
Statistical inference of finite-rank tensors. - Yukun Liu, Ta Li, Pengyuan Zhang, Yonghong Yan:
Improved Conformer-based End-to-End Speech Recognition Using Neural Architecture Search. - Pavel V. Kuptsov, Anna V. Kuptsova, Nataliya V. Stankevich:
Artificial neural network as a universal model of nonlinear dynamical systems. - Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Degang Wang:
Financial Markets Prediction with Deep Learning. - Marcus Kaiser, Maksim Sipos:
Unsuitability of NOTEARS for Causal Graph Discovery. - Lukas Schwenkel, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Model predictive control for linear uncertain systems using integral quadratic constraints. - Hanlin Sun, Ginestra Bianconi:
Higher-order percolation processes on multiplex hypergraphs. - Max Væhrens
, Andreas Jonas Fuglsig, Anders Post Jacobsen, Nicolai Almskou Rasmussen, Victor Mølbach Nissen, Joachim Roland Hejslet, Zheng-Hua Tan:
Improvement of Noise-Robust Single-Channel Voice Activity Detection with Spatial Pre-processing. - Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque:
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis. - Eric Guizzo, Riccardo F. Gramaccioni, Saeid Jamili, Christian Marinoni, Edoardo Massaro, Claudia Medaglia, Giuseppe Nachira, Leonardo Nucciarelli, Ludovica Paglialunga, Marco Pennese, Sveva Pepe, Enrico Rocchi, Aurelio Uncini, Danilo Comminiello:
L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing. - Francesco Galati, Maria A. Zuluaga:
Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation. - Gregory Z. Gutin, Anders Yeo:
Lower Bounds for Maximum Weighted Cut. - Edresson Casanova, Christopher Shulby, Eren Gölge, Nicolas Michael Müller, Frederico Santos de Oliveira, Arnaldo Cândido Júnior, Anderson da Silva Soares, Sandra Maria Aluísio, Moacir Antonelli Ponti:
SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model. - Jonas F. Eichinger, Daniel Paukner, Roland C. Aydin, Wolfgang A. Wall, Jay D. Humphrey, Christian J. Cyron:
What do cells regulate in soft tissues on short time scales? - Vincent Dutordoir, Hugh Salimbeni, Eric Hambro, John McLeod, Felix Leibfried, Artem Artemev, Mark van der Wilk, James Hensman, Marc Peter Deisenroth, S. T. John:
GPflux: A Library for Deep Gaussian Processes. - Cristian E. Gutiérrez, Qingbo Huang, Quentin Mérigot, Boris Thibert:
Metasurfaces and Optimal transport. - Johann H. Martínez, Ernesto Estrada:
The world-wide waste web. - Massimo Nazaria
:
Predicting the Accuracy of Early-est Earthquake Magnitude Estimates with an LSTM Neural Network: A Preliminary Analysis. - Laura Ciobanu, Alan D. Logan:
Variations on the Post Correspondence Problem for free groups. - Saikat Dutta, Nisarg A. Shah, Anurag Mittal:
Efficient Space-time Video Super Resolution using Low-Resolution Flow and Mask Upsampling. - Lu Cai, Fei Xu, Fidelma Dilemma, Daniel J. Murray, Cynthia A. Adkins, Larry K. Aagesen Jr., Min Xian, Luca Caprriot, Tiankai Yao:
Understanding Fission Gas Bubble Distribution, Lanthanide Transportation, and Thermal Conductivity Degradation in Neutron-irradiated α-U Using Machine Learning. - Thomas R. Cameron, Sebastian Charmot, Jonad Pulaj:
On the Linear Ordering Problem and the Rankability of Data. - Andrew Arrasmith, Zoë Holmes, Marco Cerezo, Patrick J. Coles:
Equivalence of quantum barren plateaus to cost concentration and narrow gorges. - Wei Wang, Wei Zhang:
Jittering Effects Analysis and Beam Training Design for UAV Millimeter Wave Communications. - Clark Alexander:
Consistent Rotation Maps Induce a Unitary Shift Operator in Discrete Time Quantum Walks. - Zabir Al Nazi, Fazla Rabbi Mashrur, Md. Amirul Islam, Shumit Saha:
Fibro-CoSANet: Pulmonary Fibrosis Prognosis Prediction using a Convolutional Self Attention Network. - Yujin Oh, Jong Chul Ye:
Unifying domain adaptation and self-supervised learning for CXR segmentation via AdaIN-based knowledge distillation. - Tharaj Thaj, Emanuele Viterbo, Yi Hong:
Orthogonal Time Sequency Multiplexing Modulation: Analysis and Low-Complexity Receiver Design. - Aakarshitha Suresh, Abdullah Ash-Saki, Mahabubul Alam, Rasit o Topalaglu, Swaroop Ghosh:
A Quantum Circuit Obfuscation Methodology for Security and Privacy. - G. R. W. Quispel, David I. McLaren, C. Evripidou:
Deducing properties of ODEs from their discretization. - Sebastian A. Nugroho, Ahmad F. Taha:
Load and Renewable-Following Control of Linearization-Free Differential Algebraic Equation Power System Models. - Mahak Kothari, Swapna Sasi, Jun Chen, Elham Zareian, Basabdatta Sen Bhattacharya:
Bayesian Optimisation for a Biologically Inspired Population Neural Network. - Nicolás Gallego-Molina, Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque:
Temporal EigenPAC for dyslexia diagnosis. - Seok-Hwan Park, Xianglan Jin:
Joint Secure Design of Downlink and D2D Cooperation Strategies for Multi-User Systems. - Zhenhong Sun, Zhiyu Tan, Xiuyu Sun, Fangyi Zhang, Dongyang Li, Yichen Qian, Hao Li:
Spatiotemporal Entropy Model is All You Need for Learned Video Compression. - Mathias Oster, Leon Sallandt, Reinhold Schneider:
Approximating optimal feedback controllers of finite horizon control problems using hierarchical tensor formats. - Jacob R. Goodman, Leonardo J. Colombo:
Geometric Control of two Quadrotors Carrying a Rigid Rod with Elastic Cables. - Pedro R. A. S. Bassi
, Romis Attux:
COVID-19 detection using chest X-rays: is lung segmentation important for generalization? - Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang:
Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels. - Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan:
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities. - Chen Li, Xintong Li, Xiaoyan Li, Md Mamunur Rahaman, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek:
A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis: from Popular Convolutional Neural Networks to Potential Visual Transformers. - Manuel Ntumba
, Saurabh Gore
, Jean-Baptiste Awanyo:
Prediction of Apophis Asteroid Flyby Optimal Trajectories and Data Fusion of Earth-Apophis Mission Launch Windows using Deep Neural Networks. - E. Ferreira, Susan Orbe, J. Ascorbebeitia, B. Álvarez Pereira, E. Estrada:
Loss of structural balance in stock markets. - Ali Siahkoohi, Felix J. Herrmann:
Learning by example: fast reliability-aware seismic imaging with normalizing flows. - Jaydip Sen, Abhishek Dutta, Sidra Mehtab:
Profitability Analysis in Stock Investment Using an LSTM-Based Deep Learning Model. - Alessio Zappone, Marco Di Renzo:
Optimization of Reconfigurable Intelligent Surfaces with Electromagnetic Field Exposure Constraints. - Andreas Bluhm, Matthias Christandl, Florian Speelman:
Position-based cryptography: Single-qubit protocol secure against multi-qubit attacks. - Bowen Xu, Fanghong Guo, Changyun Wen, Wen-An Zhang:
Stealthy False Data Injection Attack Detection in Smart Grids with Uncertainties: A Deep Transfer Learning Based Approach. - Xiangwen Deng, Junlin Zhu, Shangming Yang:
SFE-Net: EEG-based Emotion Recognition with Symmetrical Spatial Feature Extraction. - Sara Helal, Hadi Sarieddeen, Hayssam Dahrouj
, Tareq Y. Al-Naffouri
, Mohamed-Slim Alouini
:
Signal Processing and Machine Learning Techniques for Terahertz Sensing: An Overview. - Francesca Venturini, Michela Sperti, Umberto Michelucci, Ivo Herzig, Michael Baumgartner, Josep Palau Caballero, Arturo Jimenez, Marco Agostino Deriu:
Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques. - Priyadarshi Mukherjee, Constantinos Psomas, Ioannis Krikidis:
Differential chaos shift keying-based wireless power transfer. - Arjina Maharjan, Abeer Alsadoon, P. W. C. Prasad, Nada AlSallami, Tarik A. Rashid, Ahmad Alrubaie, Sami Haddad:
A Novel Solution of Using Mixed Reality in Bowel and Oral and Maxillofacial Surgical Telepresence: 3D Mean Value Cloning algorithm. - Rubén Moreno-Bote, Chiara Mastrogiuseppe:
Deep imagination is a close to optimal policy for planning in large decision trees under limited resources. - Andrea Camisa, Alessia Benevento, Giuseppe Notarstefano:
Constraint-coupled Optimization with Unknown Costs: A Distributed Primal Decomposition Approach. - Andrea Camisa, Giuseppe Notarstefano:
A Distributed Mixed-Integer Framework to Stochastic Optimal Microgrid Control. - David Yevick:
Variational Autoencoder Analysis of Ising Model Statistical Distributions and Phase Transitions. - Minjie Wang, Genevera I. Allen:
Thresholded Graphical Lasso Adjusts for Latent Variables: Application to Functional Neural Connectivity. - Thomas Eboli, Jian Sun, Jean Ponce:
Learning to Jointly Deblur, Demosaick and Denoise Raw Images. - Luis A. Martinez-Vaquero, Francisco C. Santos, Vito Trianni:
Signalling boosts the evolution of cooperation in repeated group interactions. - Weiqi Ji, Bo Yuan, Ciyue Shen, Aviv Regev, Chris Sander, Sili Deng:
Inference of cell dynamics on perturbation data using adjoint sensitivity. - Junyu Chen, Yufan He, Eric C. Frey, Ye Li, Yong Du:
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration. - Chiwoo Park:
Gaussian Process Model for Estimating Piecewise Continuous Regression Functions. - Sterling G. Baird, Eric R. Homer, David T. Fullwood, Oliver K. Johnson:
Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion Framework. - Ju-ho Kim, Hye-jin Shim, Jee-weon Jung, Ha-Jin Yu:
Learning Metrics from Mean Teacher: A Supervised Learning Method for Improving the Generalization of Speaker Verification System. - Eugène Ndiaye, Ichiro Takeuchi:
Root-finding Approaches for Computing Conformal Prediction Set. - Frederik Geth, James Foster:
Improving Optimal Power Flow Relaxations Using 3-Cycle Second-Order Cone Constraints. - Przemyslaw Biecek, Marcin Chlebus, Janusz Gajda, Alicja Gosiewska, Anna Kozak, Dominik Ogonowski, Jakub Sztachelski, Piotr Wojewnik:
Enabling Machine Learning Algorithms for Credit Scoring - Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models. - Alfredo De Bellis, Romualdo Pastor-Satorras, Claudio Castellano:
Influence of individual nodes for continuous-time Susceptible-Infected-Susceptible dynamics on synthetic and real-world networks. - Sharif Amit Kamran
, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Kenton M. Sanders, Salah A. Baker:
VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers. - Guy Kornowski, Ohad Shamir:
Oracle Complexity in Nonsmooth Nonconvex Optimization. - Christina Schenk
, Volker H. Schulz:
Existence, Uniqueness and Numerical Modeling of Wine Fermentation Based on Integro-Differential Equations. - Paul Leamy, Ted Burke, Dan Barry, David Dorran:
Audio-based cough counting using independent subspace analysis. - Fabio Cuzzolin:
Uncertainty measures: The big picture. - Emil Jerábek:
The theory of hereditarily bounded sets. - Wilma A. Bainbridge:
Shared memories driven by the intrinsic memorability of items. - Cristina Cipriani, Hui Huang, Jinniao Qiu:
Zero-Inertia Limit: from Particle Swarm Optimization to Consensus Based Optimization. - Leyang Xue, Peng Zhang, An Zeng:
Maximizing spreading in complex networks with risk in node activation. - Cong Shen, Jie Xu, Sihui Zheng, Xiang Chen:
Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges. - Pegah Pournajafi, Nicolas Trotignon:
Burling graphs revisited - Part 1 New characterizations. - Junhyung Lyle Kim, George Kollias, Amir Kalev, Ken X. Wei, Anastasios Kyrillidis:
Fast quantum state reconstruction via accelerated non-convex programming. - Maciej Skorski:
Mean-Squared Accuracy of Good-Turing Estimator. - Giorgio Gnecco, Andrea Bacigalupo:
On principal component analysis of the convex combination of two data matrices and its application to acoustic metamaterial filters. - Bo Zhou, Zachary Augenfeld, Julius Chapiro, S. Kevin Zhou, Chi Liu, James S. Duncan:
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration. - SueYeon Chung
, L. F. Abbott:
Neural population geometry: An approach for understanding biological and artificial neural networks. - Yih-Cherng Lee, Ling Yeung:
SVS-net: A Novel Semantic Segmentation Network in Optical Coherence Tomography Angiography Images. - Hussein Hazimeh, Rahul Mazumder, Peter Radchenko:
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives. - T. Phatak, K. B. Nakshatrala:
Effect of viscous shearing stresses on optimal material designs for flow of fluids through porous media. - Jiguang He, Nhan Thanh Nguyen, Rafaela Schroeder, Visa Tapio, Joonas Kokkoniemi, Markku J. Juntti:
Channel Estimation and Hybrid Architectures for RIS-Assisted Communications. - Alirio Gómez Gómez, Pedro L. Kaufmann:
On the Vapnik-Chervonenkis dimension of products of intervals in Rd. - Alexander Litvinenko, Ronald Kriemann, Vladimir B. Berikov:
Identification of unknown parameters and prediction with hierarchical matrices. - Ziyi Yin
, Mathias Louboutin, Felix J. Herrmann:
Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model. - Fushing Hsieh, Xiaodong Wang:
Coarse- and fine-scale geometric information content of Multiclass Classification and implied Data-driven Intelligence. - Clark Alexander:
How to Teach a Quantum Computer a Probability Distribution. - Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye:
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification. - Nicholas LaRacuente:
Quantum Oracle Separations from Complex but Easily Specified States. - Jizhao Liu, Jing Lian, Julien Clinton Sprott, Yide Ma:
A Novel Neuron Model of Visual Processor. - Christian Diem, András Borsos, Tobias Reisch, János Kertész, Stefan Thurner:
Quantifying firm-level economic systemic risk from nation-wide supply networks. - Mohammad Saber Iraji, Mohammad-Reza Feizi-Derakhshi, Jafar Tanha:
Deep learning for COVID-19 diagnosis based feature selection using binary differential evolution algorithm. - Clément Le Moine Veillon, Nicolas Obin, Axel Roebel:
Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels. - Clément Le Moine, Nicolas Obin, Axel Roebel:
Speaker Attentive Speech Emotion Recognition. - Michael Neumann, Oliver Roesler, Jackson Liscombe, Hardik Kothare, David Suendermann-Oeft, David Pautler, Indu Navar, Aria Anvar, Jochen Kumm, Raquel Norel, Ernest Fraenkel, Alexander V. Sherman, James D. Berry, Gary L. Pattee, Jun Wang, Jordan R. Green, Vikram Ramanarayanan:
Investigating the Utility of Multimodal Conversational Technology and Audiovisual Analytic Measures for the Assessment and Monitoring of Amyotrophic Lateral Sclerosis at Scale. - Yihong Wu, Pengkun Yang:
Polynomial methods in statistical inference: theory and practice. - Wanyang Dai:
Internet of quantum blockchains: security modeling and dynamic resource pricing for stable digital currency. - Aswathy Madhu, Suresh Kumaraswamy:
EnvGAN: Adversarial Synthesis of Environmental Sounds for Data Augmentation. - Alexander Katriniok, Benedikt Rosarius, Petri Mähönen:
Fully Distributed Model Predictive Control of Connected Automated Vehicles in Intersections: Theory and Vehicle Experiments. - Salah Zaiem, Titouan Parcollet, Slim Essid:
Conditional independence for pretext task selection in Self-supervised speech representation learning. - Dipayan Chakraborty, Sandip Das, Soumen Nandi, Debdeep Roy, Sagnik Sen:
On clique numbers of colored mixed graphs. - N. Korucuk, C. Polat, Emine Selda Gündüz, Onur Karaman, V. Tosun, M. Onac, N. Yildirim, Y. Cete, Kemal Polat:
Estimation of atrial fibrillation from lead-I ECGs: Comparison with cardiologists and machine learning model (CurAlive), a clinical validation study. - Nazish Ashfaq, Zubair Nawaz, Muhammad Ilyas:
A comparative study of Different Machine Learning Regressors For Stock Market Prediction. - Murali Karthick Baskar, Lukás Burget, Shinji Watanabe, Ramón Fernandez Astudillo, Jan Honza Cernocký:
EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition. - Vladimir Gurvich, Mariya Naumova:
On Nash-solvability of n-person graphical games under Markov's and a priori realizations. - Luis Scoccola, Jose A. Perea:
Approximate and discrete Euclidean vector bundles. - Fanyi Wang, Haotian Hu, Cheng Shen:
BAM: A Lightweight and Efficient Balanced Attention Mechanism for Single Image Super Resolution. - Cyrus Hettle, Swati Gupta, Daniel K. Molzahn:
Fair and Reliable Reconnections for Temporary Disruptions in Electric Distribution Networks using Submodularity. - Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi:
Image Super-Resolution via Iterative Refinement. - Meng Zhou, Shanglin Mo:
Shoulder Implant X-Ray Manufacturer Classification: Exploring with Vision Transformer. - Vasileios Belis, Samuel González-Castillo, Christina Reissel, Sofia Vallecorsa, Elías F. Combarro, Günther Dissertori, Florentin Reiter:
Higgs analysis with quantum classifiers. - En-Jui Kuo, Yao-Lung L. Fang, Samuel Yen-Chi Chen:
Quantum Architecture Search via Deep Reinforcement Learning. - J. F. H. Buist, Benjamin Sanderse, S. Dubinkina, R. A. W. M. Henkes, Cornelis W. Oosterlee:
Energy-conserving formulation of the two-fluid model for incompressible two-phase flow in channels and pipes. - Farzana Nasrin, Theodore Papamarkou, Vasileios Maroulas:
Random Persistence Diagram Generation. - F. M. Gatta, Alberto Geri, Stefano Lauria, Marco Maccioni, Ludovico Nati:
A global DC branch model incorporating power system flexibility. - Guanghua Chi, Han Fang, Sourav Chatterjee, Joshua E. Blumenstock:
Micro-Estimates of Wealth for all Low- and Middle-Income Countries. - Unai Alvarez-Rodriguez, Vito Latora:
Memory Order Decomposition of Symbolic Sequences. - Shuxiao Chen
, Bo Zhang:
Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable. - Fernando Esteban Contreras-Mendoza, César Hernández-Cruz:
Minimal obstructions to (∞, k)-polarity in cographs. - He Guo
, Lutz Warnke:
On the power of random greedy algorithms. - Fernando Esteban Contreras-Mendoza, César Hernández-Cruz:
Minimal obstructions to (s, 1)-polarity in cographs. - Chang Liu, Akshay Budhkar:
Data-driven Optimization Model for Global Covid-19 Intervention Plans. - Tu Vo:
Attention! Stay Focus! - Arthur Gassner, Claudiu Musat, Alexandru Rusu, Andreas Burg:
OpenCSI: An Open-Source Dataset for Indoor Localization Using CSI-Based Fingerprinting. - Georgia Papacharalampous, Andreas Langousis:
Probabilistic water demand forecasting using quantile regression algorithms. - Lassi Paunonen, Duy Phan:
A Reduced Order Controller for Output Tracking of a Kelvin-Voigt Beam. - Ioannis Dimitriou:
The generalized join the shortest orbit queue system: Stability, exact tail asymptotics and stationary approximations. - Andrew R. Lawrence, Marcus Kaiser, Rui Sampaio, Maksim Sipos:
Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data. - Thomas C. Booth, Bernice Akpinar, Andrei Roman, Haris Shuaib, Aysha Luis, Alysha Chelliah, Ayisha Al Busaidi, Ayesha Mirchandani, Burcu Alparslan, Nina Mansoor, Keyoumars Ashkan, Sébastien Ourselin, Marc Modat:
Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021. - Adriano Arrigo, Jalal Kazempour, Zacharie De Grève, Jean-François Toubeau, François Vallée:
Embedding Dependencies Within Distributionally Robust Optimization of Modern Power Systems. - Simona Bottani, Ninon Burgos, Aurélien Maire, Adam Wild, Sebastian Ströer, Didier Dormont, Olivier Colliot:
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse. - Noe Angelo Caruso, Alessandro Michelangeli:
Inverse linear problems on Hilbert space and their Krylov solvability. - Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls:
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions. - Guido Montúfar, Yue Ren, Leon Zhang:
Sharp bounds for the number of regions of maxout networks and vertices of Minkowski sums. - Eliane Maalouf, David Ginsbourger, Niklas Linde:
Fast ABC with joint generative modelling and subset simulation. - Peter Bloem:
Finding Motifs in Knowledge Graphs using Compression. - Arastu Sharma, Rakesh Jain:
Design of an Efficient, Ease-of-use and Affordable Artificial Intelligence based Nucleic Acid Amplification Diagnosis Technology for Tuberculosis and Multi-drug Resistant Tuberculosis. - Stanislav Beliaev, Boris Ginsburg:
TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction. - The Tien Mai
:
Bayesian matrix completion with a spectral scaled Student prior: theoretical guarantee and efficient sampling. - Johanna Vielhaben, Markus Wenzel, Eva Weicken, Nils Strodthoff:
Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks. - Robert Schade
, Tobias Kenter, Hossam Elgabarty, Michael Lass, Ole Schütt, Alfio Lazzaro, Hans Pabst, Stephan Mohr, Jürg Hutter, Thomas D. Kühne, Christian Plessl:
Enabling Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms. - Dmitrii Legatiuk, Daniel Weisz-Patrault:
Coupling of complex function theory and finite element method for crack propagation through energetic formulation: conformal mapping approach and reduction to a Riemann-Hilbert problem. - Elizabeth A. Barnes, Randal J. Barnes:
Controlled abstention neural networks for identifying skillful predictions for classification problems. - Barry M. Dillon, Tilman Plehn
, Christof Sauer, Peter Sorrenson:
Better Latent Spaces for Better Autoencoders. - Amirata Ghorbani, James Zou, Andre Esteva:
Data Shapley Valuation for Efficient Batch Active Learning. - Gregory H. Teichert, Sambit Das, Muratahan Aykol, Chirranjeevi Balaji Gopal, Vikram Gavini, Krishna C. Garikipati:
LixCoO2 phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories. - Marco Avella-Medina, José Luis Montiel Olea, Cynthia Rush, Amilcar Velez:
On the Robustness to Misspecification of α-Posteriors and Their Variational Approximations. - Siyi Tang
, Jared A. Dunnmon, Khaled Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer:
Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training. - Xing Shi Cai, Pietro Caputo, Guillem Perarnau, Matteo Quattropani:
Rankings in directed configuration models with heavy tailed in-degrees. - Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Deniz Erdogmus:
Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing. - Majid Mobini, Georges Kaddoum:
Deep Chaos Synchronization. - Saida Mussakhojayeva, Aigerim Janaliyeva, Almas Mirzakhmetov, Yerbolat Khassanov, Huseyin Atakan Varol:
KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset. - Yibo Li, Jianfeng Pei, Luhua Lai:
Learning to design drug-like molecules in three-dimensional space using deep generative models. - Haoyu Li, Junichi Yamagishi:
Multi-Metric Optimization using Generative Adversarial Networks for Near-End Speech Intelligibility Enhancement. - Federico Bertoni, Noemi Montobbio, Alessandro Sarti, Giovanna Citti:
Emergence of Lie symmetries in functional architectures learned by CNNs. - Taesung Kwon, Jong Chul Ye:
Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising. - Marcos S. Lyra, António Curado, Bruno Damásio, Fernando Bação, Flávio L. Pinheiro:
Characterization of the Firm-Firm Public Procurement Co-Bidding Network from the State of Ceará (Brazil) Municipalities. - Michael Foley, Rory Smead, Patrick Forber, Christoph Riedl:
Avoiding the bullies: The resilience of cooperation among unequals. - Ryan H. Vogt, Sarah Strikwerda:
Solving Bang-Bang Problems Using The Immersed Interface Method and Integer Programming. - Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie:
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization. - Lei Yu:
On the Φ-Stability and Related Conjectures. - Imran Javaid, Shahroz Ali, Shahid ur Rehman, Aqsa Shah:
Rough Sets in Graphs Using Similarity Relations. - Anurag Anshu, Shima Bab Hadiashar, Rahul Jain, Ashwin Nayak, Dave Touchette:
One-shot quantum state redistribution and quantum Markov chains. - Sorin-Mihai Grad, Felipe Lara:
An extension of the proximal point algorithm beyond convexity. - Yankun Yu, Huan Liu, Minghan Fu, Jun Chen, Xiyao Wang, Keyan Wang:
A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning. - Kan Xu, Xuanyi Zhao, Hamsa Bastani, Osbert Bastani:
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings. - Laurent Busé
, Marc Chardin, Navid Nemati:
Multigraded Sylvester forms, Duality and Elimination Matrices. - TrungTin Nguyen
, Faicel Chamroukhi, Hien Duy Nguyen, Florence Forbes:
A non-asymptotic model selection in block-diagonal mixture of polynomial experts models. - Ethan Jacob Moyer, Jeff Winchell, Isamu Isozaki, Yigit Alparslan, Mali Halac, Edward Kim:
Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network. - Armando Bellante, Alessandro Luongo, Stefano Zanero:
Quantum Algorithms for Data Representation and Analysis. - Thibaut Cuvelier:
Embedding Reservoirs in Industrial Models to Exploit their Flexibility. - Suresh Bolusani, Stefano Coniglio, Ted K. Ralphs, Sahar Tahernejad:
A Unified Framework for Multistage and Multilevel Mixed Integer Linear Optimization. - Sahar Tahernejad, Ted K. Ralphs, Scott T. DeNegre:
A Branch-and-Cut Algorithm for Mixed Integer Bilevel Linear Optimization Problems and Its Implementation. - Rohit M. A., Preeti Rao:
Automatic Stroke Classification of Tabla Accompaniment in Hindustani Vocal Concert Audio. - Emanuele Grossi, Marco Lops, Luca Venturino:
Energy Efficiency Optimization in Radar-Communication Spectrum Sharing. - Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Samuel J. Raymond, Zhou Zhou, Hossein Vahid Alizadeh, Jesse Ruan, Saeed Barbat, Stephen Tiernan, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
Classification of head impacts based on the spectral density of measurable kinematics. - Robert J. Berman:
Ensemble equivalence for mean field models and plurisubharmonicity. - Iasson Karafyllis, Miroslav Krstic:
Global Stabilization of Compressible Flow Between Two Moving Pistons. - Elio Nushi, Victor-Bogdan Popescu, José Ángel Sánchez Martín, Sergiu Ivanov, Eugen Czeizler, Ion Petre:
Network modeling methods for precision medicine. - Tim Lyon:
On the Correspondence between Nested Calculi and Semantic Systems for Intuitionistic Logics. - Shuo Liu, Jing Han, Estela Laporta Puyal, Spyridon Kontaxis, Shaoxiong Sun, Patrick Locatelli, Judith Dineley, Florian B. Pokorny, Gloria Dalla Costa, Letizia Leocani, Ana Isabel Guerrero, Carlos Nos, Ana Zabalza, Per Soelberg Sørensen, Mathias Buron, Melinda Magyari, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum L. Stewart, Amos A. Folarin, Richard J. B. Dobson, Raquel Bailón, Srinivasan Vairavan, Nicholas Cummins, Vaibhav A. Narayan, Matthew Hotopf, Giancarlo Comi, Björn W. Schuller:
Fitbeat: COVID-19 Estimation based on Wristband Heart Rate. - Amir Geranmayeh:
Machine-Learning Classification of Closed and Open Radiating Wires from Near Magnetic or Electric Field Scan Images. - David Kraljic:
Towards realistic statistical models of the grid frequency. - X. San Liang:
Measuring the importance of individual units in producing the collective behavior of a complex network. - Andrzej K. Brodzik, Richard Tolimieri:
Fourier and Zak transforms of multiplicative characters. - Andrea Mazza, Yang Zhang, Ettore Bompard, Gianfranco Chicco, Emiliano Roggero, Giuliana Galofaro:
Evaluation of the impact of Heat-Wave on Distribution System Resilience. - Xin Guo, Anran Hu, Yufei Zhang:
Reinforcement learning for linear-convex models with jumps via stability analysis of feedback controls. - Tobias Hatt, Stefan Feuerriegel:
Sequential Deconfounding for Causal Inference with Unobserved Confounders. - Alexandra Hope Lee, Panagiotis Lymperopoulos, Joshua T. Cohen, John B. Wong, Michael C. Hughes:
Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach. - Kyoungho Ahn, Youssef Bichiou, Mohamed M. G. Farag, Hesham A. Rakha:
Multi-objective Eco-Routing Model Development and Evaluation for Battery Electric Vehicles. - Heetae Kim:
How modular structure determines operational resilience of power grids. - Ekaterina Zolotareva:
Aiding Long-Term Investment Decisions with XGBoost Machine Learning Model. - Iacopo Iacopini, Vito Latora:
On the dual nature of adoption processes in complex networks. - Dongdong Zhang, Hongyi Li, Hongyu Zhu, Hongcai Zhang, Jonathan Goh, Hui Liu, Man Chung Wong:
The Impact of COVID-19 on Urban Energy Consumption of the Commercial Tourism City. - Saturnino Luz, Fasih Haider, Sofia de la Fuente, Davida Fromm, Brian MacWhinney:
Detecting cognitive decline using speech only: The ADReSSo Challenge. - Anthony Bordg, Lawrence C. Paulson, Wenda Li:
Simple Type Theory is not too Simple: Grothendieck's Schemes without Dependent Types. - Xiang-Gen Xia:
My Experience in Physical Layer Communications. - Wenjie Li, Mohamad Assaad, Shiqi Zheng:
Distributed Derivative-free Learning Method for Stochastic Optimization over a Network with Sparse Activity. - Saurav Jha, Martin Schiemer, Franco Zambonelli, Juan Ye:
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis. - Sarthak Chatterjee
, Andrea Alessandretti, A. Pedro Aguiar, Sérgio Pequito:
Minimum-Energy Estimation for Discrete-Time Fractional-Order Dynamical Systems. - Andrii Arman, Pu Gao, Nicholas C. Wormald:
Linear-time uniform generation of random sparse contingency tables with specified marginals. - Binjie Li:
Numerical analysis of a Neumann boundary control problem with a stochastic parabolic equation. - Frank Rösler, Alexei Stepanenko:
Computing eigenvalues of the Laplacian on rough domains. - Vincent Pisztora, Yanglan Ou, Xiaolei Huang, Francesca Chiaromonte, Jia Li:
Epsilon Consistent Mixup: An Adaptive Consistency-Interpolation Tradeoff. - Prachi Singh, Sriram Ganapathy:
Self-supervised Representation Learning With Path Integral Clustering For Speaker Diarization. - Willie Neiswanger, Ke Alexander Wang, Stefano Ermon:
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information. - Damiano Brigo, Xiaoshan Huang, Andrea Pallavicini, Haitz Sáez de Ocáriz Borde:
Interpretability in deep learning for finance: a case study for the Heston model. - Caleb Terrill, Linfang Wang, Sean Chen, Chester Hulse, Calvin Kuo, Richard D. Wesel, Dariush Divsalar:
FPGA Implementations of Layered MinSum LDPC Decoders Using RCQ Message Passing. - Wentao Yu, Steffen Zeiler, Dorothea Kolossa:
Fusing information streams in end-to-end audio-visual speech recognition. - Gabriel Mittag, Babak Naderi, Assmaa Chehadi, Sebastian Möller:
NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets. - Eugenio Cocchi, Edoardo Tignone, Davide Vodola:
Graph Partitioning into Hamiltonian Subgraphs on a Quantum Annealer. - Robert Salzmann, Nilanjana Datta:
Interpolating between symmetric and asymmetric hypothesis testing. - Nadia L. Barreiro, Cecilia I. Ventura, Tzipe Govezensky, Matias Núñez, Pablo G. Bolcatto, Rafael A. Barrio:
Strategies for COVID-19 vaccination under a shortage scenario: a geo-stochastic modelling approach. - Diego Marques do Carmo, Ricardo Augusto Borsoi, Márcio H. Costa:
Robust parameter design for Wiener-based binaural noise reduction methods in hearing aids. - Vasilii Semkin, Enrico Maria Vitucci, Franco Fuschini, Marina Barbiroli, Vittorio Degli-Esposti, Claude Oestges:
Characterizing the UAV-to-Machine UWB Radio Channel in Smart Factories. - Mihir Pendse, Vithursan Thangarasa, Vitaliy Chiley, Ryan Holmdahl, Joel Hestness, Dennis DeCoste:
Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation. - Qiangguo Jin, Hui Cui
, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su:
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. - Mingwen Liu, Junbang Huo, Yulin Wu, Jinge Wu:
Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory. - Qiangguo Jin, Hui Cui
, Changming Sun, Zhaopeng Meng, Ran Su:
Free-form tumor synthesis in computed tomography images via richer generative adversarial network. - Katsuyuki Hagiwara:
Bridging between soft and hard thresholding by scaling. - Yukio Ohsawa, Teruaki Hayashi:
Explaining the Risk of Infection Spread in Connected Local Regions by a Lattice of SEIR Circuits. - Tri Dao, Govinda M. Kamath, Vasilis Syrgkanis, Lester Mackey:
Knowledge Distillation as Semiparametric Inference. - Daowen Qiu:
Supervisory Control of Quantum Discrete Event Systems. - Wenhui Yang, Edirisuriya M. Dilanga Siriwardane, Rongzhi Dong, Yuxin Li, Jianjun Hu:
Crystal structure prediction of materials with high symmetry using differential evolution. - Bo Zhang, Pedro V. Sander, Chi-Ying Tsui, Amine Bermak:
Microshift: An Efficient Image Compression Algorithm for Hardware. - Guido Carnevale, Andrea Camisa, Giuseppe Notarstefano:
Distributed Online Aggregative Optimization for Dynamic Multi-robot Coordination. - Adam Balusik, Jared de Magalhaes, Rendani Mbuvha:
Forecasting The JSE Top 40 Using Long Short-Term Memory Networks. - Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Multiscale deep context modeling for lossless point cloud geometry compression. - Rocío del Amor, Laëtitia Launet, Adrián Colomer, Anaïs Moscardó, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo:
An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI. - Saurab Chhachhi, Fei Teng:
Market Value of Differentially-Private Smart Meter Data. - Oleg Nikitin, Olga Lukyanova, Alex Kunin:
The principle of weight divergence facilitation for unsupervised pattern recognition in spiking neural networks. - Matthieu Rosenfeld
:
Avoiding squares over words with lists of size three amongst four symbols. - Alexandre Défossez, Yossi Adi, Gabriel Synnaeve:
Differentiable Model Compression via Pseudo Quantization Noise. - Hui Sun, Feng Bao:
Meshfree Approximation for Stochastic Optimal Control Problems. - Ayako Yamamoto, Toshio Irino, Kenichi Arai, Shoko Araki, Atsunori Ogawa, Keisuke Kinoshita, Tomohiro Nakatani:
Comparison of remote experiments using crowdsourcing and laboratory experiments on speech intelligibility. - Vincent Schellekens, Laurent Jacques:
Asymmetric compressive learning guarantees with applications to quantized sketches. - Matthew Andres Moreno, Charles Ofria:
Exploring Evolved Multicellular Life Histories in a Open-Ended Digital Evolution System. - Wanli Qiao, Amarda Shehu:
Space Partitioning and Regression Mode Seeking via a Mean-Shift-Inspired Algorithm. - Rida Ait El Manssour, Marc Härkönen, Bernd Sturmfels:
Linear PDE with Constant Coefficients. - Daniel R. Kowal:
Bayesian subset selection and variable importance for interpretable prediction and classification. - Marek Filakovský, Lukás Vokrínek:
Computing homotopy classes for diagrams. - Maxim A. Ziatdinov, Sergei V. Kalinin:
Robust Feature Disentanglement in Imaging Data via Joint Invariant Variational Autoencoders: from Cards to Atoms. - Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan L. Yuille, Holger Roth:
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. - Yongtao Liu, Rama K. Vasudevan, Kyle P. Kelley, Dohyung Kim, Yogesh Sharma, Mahshid Ahmadi, Sergei V. Kalinin, Maxim A. Ziatdinov:
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy. - Gabriel Mittag, Saman Zadtootaghaj, Thilo Michael, Babak Naderi, Sebastian Möller:
Bias-Aware Loss for Training Image and Speech Quality Prediction Models from Multiple Datasets. - Lisa Hellerstein, Thomas Lidbetter:
A Polyhedral Approach to Some Max-min Problems. - Fayaz Ali Dharejo, Farah Deeba, Yuanchun Zhou, Bhagwan Das, Munsif Ali Jatoi, Muhammad Zawish, Yi Du, Xuezhi Wang:
TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution. - Robert I. McLachlan:
Tuning symplectic integrators is easy and worthwhile. - Daniel Berwick-Evans, Anil N. Hirani, Mark D. Schubel:
Discrete Vector Bundles with Connection and the Bianchi Identity. - Felber J. Arroyave, Oscar Yandy Romero Goyeneche, Meredith Gore, Gaston Heimeriks, Jeffrey Jenkins, Alexander M. Petersen:
On the social and cognitive dimensions of wicked environmental problems characterized by conceptual and solution uncertainty. - Zhimeng Huang, Chuanmin Jia, Shanshe Wang, Siwei Ma:
Visual Analysis Motivated Rate-Distortion Model for Image Coding. - Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu:
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation. - Yusuke Kida, Tatsuya Komatsu, Masahito Togami:
Label-Synchronous Speech-to-Text Alignment for ASR Using Forward and Backward Transformers. - Yali Wan, Marina Meila:
A class of network models recoverable by spectral clustering. - Pravin Nair, Ruturaj G. Gavaskar, Kunal N. Chaudhury:
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms. - Victor L. Selivanov:
Wadge Degrees of Classes of omega-Regular k-Partitions. - Sonja Tilly, Giacomo Livan:
Macroeconomic forecasting with statistically validated knowledge graphs. - Jiqing Zhang, Chengjiang Long, Yuxin Wang, Haiyin Piao, Haiyang Mei, Xin Yang, Baocai Yin:
A Two-Stage Attentive Network for Single Image Super-Resolution. - Yang Liu, Zhenyue Qin, Saeed Anwar, Pan Ji, Dongwoo Kim, Sabrina B. Caldwell, Tom Gedeon:
Invertible Denoising Network: A Light Solution for Real Noise Removal. - Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Pheng-Ann Heng:
Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs. - Nazanin Beheshti, S. Lennart Johnsson:
Using CNNs for AD classification based on spatial correlation of BOLD signals during the observation. - Alceu Bissoto, Eduardo Valle, Sandra Avila:
GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review. - Diptodip Deb, Zhenfei Jiao, Alex B. Chen, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga:
Programmable 3D snapshot microscopy with Fourier convolutional networks. - Daniel Heestermans Svendsen, Pablo Morales-Alvarez, Ana Belen Ruescas, Rafael Molina, Gustau Camps-Valls:
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion. - Iresha Pasquel Mohottige, Hassan Habibi Gharakheili
, Vijay Sivaraman, Tim Moors:
Modeling Classroom Occupancy using Data of WiFi Infrastructure in a University Campus. - Eugene Kogan:
On the rank of Z_2-matrices with free entries on the diagonal. - Ratan Othayoth, Qihan Xuan, Yaqing Wan, Chen Li:
Locomotor transitions in the potential energy landscape-dominated regime. - Sheng-Hsuan Lin, Frank Pollmann:
Scaling of neural-network quantum states for time evolution. - Arjan Cornelissen, Johannes Bausch, András Gilyén:
Scalable Benchmarks for Gate-Based Quantum Computers. - Cillian Harney, Stefano Pirandola:
Optimal Performance of Global Quantum Networks. - Amirsaeed Yazdani, Yung-Chen Sun, Nicholas B. Stephens, Timothy Ryan, Vishal Monga:
Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks. - Pratyush Maini, Mohammad Yaghini, Nicolas Papernot:
Dataset Inference: Ownership Resolution in Machine Learning. - Adrian Celaya, Jonas A. Actor, Rajarajeswari Muthusivarajan, Evan D. H. Gates, Caroline Chung, Dawid Schellingerhout, Beatrice Riviere, David Fuentes:
PocketNet: A Smaller Neural Network for 3D Medical Image Segmentation. - Lukas Cironis, Jan Palczewski, Georgios Aivaliotis:
Automatic model training under restrictive time constraints. - Zhenyu Tang, Dinesh Manocha:
Scene-aware Far-field Automatic Speech Recognition. - Robert A. Murphy:
Multiple Simultaneous Pseudo Image Classification with Random Fields and a Deep Belief Network for Disease Indication. - Lu Huang, Jingyu Sun, Yufeng Tang, Junfeng Hou, Jinkun Chen, Jun Zhang, Zejun Ma:
HMM-Free Encoder Pre-Training for Streaming RNN Transducer. - Zeyu Wei, Yen-Chi Chen:
Skeleton Clustering: Dimension-Free Density-based Clustering. - Adrienne C. Kinney, Sean Current, Joceline Lega:
Aedes-AI: Neural Network Models of Mosquito Abundance. - Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy, Xin Li, Fanglong Liu, He Zheng, Lielin Jiang, Qi Zhang, Dongliang He, Fu Li, Qingqing Dang, Yibin Huang, Matteo Maggioni, Zhongqian Fu, Shuai Xiao, Cheng Li, Thomas Tanay, Fenglong Song, Wentao Chao, Qiang Guo, Yan Liu, Jiang Li, Xiaochao Qu, Dewang Hou, Jiayu Yang, Lyn Jiang, Di You, Zhenyu Zhang, Chong Mou, Iaroslav Koshelev, Pavel Ostyakov, Andrey Somov, Jia Hao, Xueyi Zou, Shijie Zhao, Xiaopeng Sun, Yiting Liao, Yuanzhi Zhang, Qing Wang, Gen Zhan, Mengxi Guo, Junlin Li, Ming Lu, Zhan Ma, Pablo Navarrete Michelini, Hai Wang, Yiyun Chen, Jingyu Guo, Liliang Zhang, Wenming Yang, Sijung Kim, Syehoon Oh, Yucong Wang, Minjie Cai, Wei Hao, Kangdi Shi, Liangyan Li, Jun Chen, Wei Gao, Wang Liu, Xiaoyu Zhang, Linjie Zhou, Sixin Lin, Ru Wang:
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results. - Ren Yang, Radu Timofte:
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study. - Reza Godaz, Reza Monsefi, Faezeh Toutounian, Reshad Hosseini:
Accurate and fast matrix factorization for low-rank learning. - Richard Y. Zhang:
Sharp Global Guarantees for Nonconvex Low-Rank Matrix Recovery in the Overparameterized Regime. - Benjamin Doerr, Michael Gnewuch:
On Negative Dependence Properties of Latin Hypercube Samples and Scrambled Nets. - Li Jin, Yu Tang, Alexander Kurzhanskiy, Saurabh Amin:
Resilient Ramp Control for Highways Facing Stochastic Perturbations. - Yaogen Yang, Haozhe Zhang, Xiaoyi Qin, Shanshan Liang, Huahua Cui, Mingyang Xu, Ming Li:
Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency Loss. - Toshiaki Tsukurimichi, Yu Inatsu, Vo Nguyen Le Duy, Ichiro Takeuchi:
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation. - Ojasvi Yadav, Koustav Ghosal, Sebastian Lutz, Aljosa Smolic:
Frequency Domain Loss Function for Deep Exposure Correction of Dark Images. - Sagar Sudhakara, Dhruva Kartik, Rahul Jain, Ashutosh Nayyar:
Optimal communication and control strategies in a multi-agent MDP problem. - Stéphanie Guérit, Siddharth Sivankutty, John Aldo Lee, Hervé Rigneault, Laurent Jacques:
Compressive lensless endoscopy with partial speckle scanning. - Izabela Horvath, Johannes C. Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Ali Ertuerk, Bjoern H. Menze:
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy. - Pravin Bhasme, Jenil Vagadiya
, Udit Bhatia:
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes. - Miloslav Znojil:
Exceptional points and domains of unitarity for a class of strongly non-Hermitian real-matrix Hamiltonians. - Jingnan Jia, Zhiwei Zhai, M. Els Bakker, Irene Hernández-Girón, Marius Staring, Berend C. Stoel:
Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation. - Minh H. Vu, Gabriella Norman, Tufve Nyholm, Tommy Löfstedt:
A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation. - Cristina G. Fernandes, José Coelho de Pina, Jorge L. Ramírez Alfonsín, Sinai Robins:
On the period collapse of a family of Ehrhart quasi-polynomials. - Kristina Tesch, Timo Gerkmann:
Nonlinear Spatial Filtering in Multichannel Speech Enhancement. - Mohammad Niknazar, Aditya Vempaty, Ravi Kokku:
Voice Privacy with Smart Digital Assistants in Educational Settings. - Laura Flueratoru, Silvan Wehrli, Michele Magno, Elena Simona Lohan, Dragos Niculescu:
High-Accuracy Ranging and Localization with Ultra-Wideband Communications for Energy-Constrained Devices. - Zineb Belkacemi, Paraskevi Gkeka, Tony Lelièvre, Gabriel Stoltz:
Chasing Collective Variables using Autoencoders and biased trajectories. - Jonathan Lock
, Tomas McKelvey:
Undiscounted Control Policy Generation for Continuous-Valued Optimal Control by Approximate Dynamic Programming. - Bin Jiang, Chris A. de Rijke:
Structural Beauty: A Structure-based Approach to Quantifying the Beauty of an Image. - Fabien Jacques, Alexandre Pinlou:
The chromatic number of signed graphs with bounded maximum average degree. - Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen:
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. - Martin Huber, David Imhof:
Deep learning for detecting bid rigging: Flagging cartel participants based on convolutional neural networks. - Matan Rusanovsky, Ofer Beeri, Sigalit Ifergane, Gal Oren:
An End-to-End Computer Vision Methodology for Quantitative Metallography. - E. V. Dontsov:
A continuous fracture front tracking algorithm with multi layer tip elements (MuLTipEl) for a plane strain hydraulic fracture. - Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood:
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. - Rui Soares Barbosa, Martti Karvonen, Shane Mansfield:
Closing Bell: Boxing black box simulations in the resource theory of contextuality. - Andrea Civilini, Nejat Anbarci, Vito Latora:
Evolutionary game model of risk propensity in group decision making. - Jérôme Darbon, Gabriel Provencher Langlois, Tingwei Meng:
Connecting Hamilton-Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors. - Mingsheng Ying:
Model Checking for Verification of Quantum Circuits. - Anne E. Carpenter, Casey S. Greene, Piero Carnici, Benilton S. Carvalho, Michiel de Hoon, Stacey D. Finley, Kim-Anh Lê Cao, Jerry S. H. Lee, Luigi Marchionni, Suzanne Sindi, Fabian J. Theis, Gregory P. Way, Jean Y. H. Yang, Elana J. Fertig:
A field guide to cultivating computational biology. - Yige Peng, Lei Bi, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning. - Kyubaek Yoon, Hojun You, Wei-Ying Wu, Chae Young Lim, Jongeun Choi, Connor Boss, Ahmed Ramadan, John M. Popovich Jr., Jacek Cholewicki, N. Peter Reeves, Clark J. Radcliffe:
Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters. - Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia:
Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction. - Robin Karlsson, David Robert Wong, Kazunari Kawabata, Simon Thompson, Naoki Sakai:
Probabilistic Rainfall Estimation from Automotive Lidar. - Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li:
Deep Multi-Stage CSI Acquisition for Reconfigurable Intelligent Surface Aided MIMO Systems. - Ruichen Jiang, Ya-Feng Liu:
Antenna Efficiency in Massive MIMO Detection. - Mengfan Li:
Research on the Detection Method of Breast Cancer Deep Convolutional Neural Network Based on Computer Aid. - Aaron B. Buhendwa, Deniz A. Bezgin, Nikolaus A. Adams:
Consistent and symmetry preserving data-driven interface reconstruction for the level-set method. - Carlos A. Cadavid, Paulina Hoyos, Jay Jorgenson, Lejla Smajlovic, Juan D. Vélez:
An integer factorization algorithm which uses diffusion as a computational engine. - Charles Audet, Sébastien Le Digabel, Viviane Rochon Montplaisir, Christophe Tribes:
NOMAD version 4: Nonlinear optimization with the MADS algorithm. - Andreea B. Alexandru
, Anastasios Tsiamis, George J. Pappas:
Encrypted Distributed Lasso for Sparse Data Predictive Control. - Wauter Bosma, Sander Dalm, Erwin van Eijk, Rachid el Harchaoui, Edwin Rijgersberg, Hannah Tereza Tops, Alle Veenstra, Rolf Ypma:
Establishing phone-pair co-usage by comparing mobility patterns. - Quay Au, Julia Herbinger, Clemens Stachl, Bernd Bischl, Giuseppe Casalicchio:
Grouped Feature Importance and Combined Features Effect Plot. - Palle E. T. Jorgensen, Myung-Sin Song, James Tian:
Positive Definite Kernels, Algorithms, Frames, and Approximations. - James A. Preiss, Gaurav S. Sukhatme:
Suboptimal coverings for continuous spaces of control tasks. - Wei Jiang, Andreas Grammenos, Evangelia Kalyvianaki, Themistoklis Charalambous:
An Asynchronous Approximate Distributed Alternating Direction Method of Multipliers in Digraphs. - Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, Jónathan Heras, Alireza Rahimi, Assef Zare, Ram Bilas Pachori, Juan Manuel Górriz:
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning. - Fabio Nicola, S. Ivan Trapasso:
On the stability of deep convolutional neural networks under irregular or random deformations. - Roman Bedyakin, Nikolay Mikhaylovskiy:
Language ID Prediction from Speech Using Self-Attentive Pooling and 1D-Convolutions. - Vladimir V. Kornyak:
Decomposition of a Quantum System Into Subsystems in Finite Quantum Mechanics. - Debaditya Chakraborty, Cristina Ivan, Paola Amero, Maliha Khan, Cristian Rodriguez-Aguayo, Hakan Basagaoglu, Gabriel Lopez-Berestein:
Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer. - Peter Bradshaw, Tomás Masarík
, Jana Novotná, Ladislav Stacho:
Robust Connectivity of Graphs on Surfaces. - Yuetian Luo, Anru R. Zhang:
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence. - Eduard F. Durech:
Deep Convolutional Neural Network for Non-rigid Image Registration. - Jiequn Han, Ruimeng Hu, Jihao Long:
A Class of Dimensionality-free Metrics for the Convergence of Empirical Measures. - Theodore Andronikos, Alla Sirokofskich:
The connection between the PQ penny flip game and the dihedral groups. - Xiaowei Xu, Jiawei Zhang, Jinglan Liu, Yukun Ding, Tianchen Wang, Hailong Qiu, Haiyun Yuan, Jian Zhuang, Wen Xie, Yuhao Dong, Qianjun Jia, Meiping Huang, Yiyu Shi:
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images. - Adji B. Dieng:
Deep Probabilistic Graphical Modeling. - Fahad B. Mostafa, Md Easin Hasan:
Machine Learning Approaches for Inferring Liver Diseases and Detecting Blood Donors from Medical Diagnosis. - Timothy Woinoski, Ivan V. Bajic:
Swimmer Stroke Rate Estimation From Overhead Race Video. - Xiang Chen
, Yufeng Huang, Lei Xu:
Multi-Scale Hourglass Hierarchical Fusion Network for Single Image Deraining. - Khalid Youssef, Greg Schuette
, Yubin Cai, Daisong Zhang, Yikun Huang, Yahya Rahmat-Samii, Louis-S. Bouchard:
Scalable End-to-End RF Classification: A Case Study on Undersized Dataset Regularization by Convolutional-MST. - Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander:
Learning to Address Intra-segment Misclassification in Retinal Imaging. - Jing Mu, David B. Grayden, Ying Tan, Denny Oetomo:
Frequency Superposition - A Multi-Frequency Stimulation Method in SSVEP-based BCIs. - Rory Mitchell, Joshua Cooper, Eibe Frank, Geoffrey Holmes:
Sampling Permutations for Shapley Value Estimation. - Haoyang Cao, Xin Guo:
Generative Adversarial Network: Some Analytical Perspectives. - Suman Dutta, Subhamoy Maitra, Chandra Sekhar Mukherjee:
Following Forrelation - Quantum Algorithms in Exploring Boolean Functions' Spectra. - Andrew C. Miller, Nicholas J. Foti, Emily B. Fox:
Breiman's two cultures: You don't have to choose sides. - Andrew C. Miller, Leon A. Gatys, Joseph Futoma, Emily B. Fox:
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance. - Bastian Rieck:
Basic Analysis of Bin-Packing Heuristics. - Hongkyu Yoon, Pilwon Kim:
Neurodynamical Role of STDP in Storage and Retrieval of Associative Information. - Lucas Cassiel Jacaruso:
Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data. - Wanli Qiao, Wolfgang Polonik:
Algorithms for ridge estimation with convergence guarantees. - Chandan Kumar Sheemar, Leonardo Badia, Stefano Tomasin:
Game-Theoretic Mode Scheduling for Dynamic TDD in 5G Systems. - Minh Ha Quang:
Finite sample approximations of exact and entropic Wasserstein distances between covariance operators and Gaussian processes. - Max-Heinrich Laves, Sontje Ihler, Jacob Friedemann Fast
, Lüder A. Kahrs, Tobias Ortmaier:
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging. - Jesús María Sanz-Serna, Konstantinos C. Zygalakis:
Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations. - Kosuke Futamata, Byeongseon Park, Ryuichi Yamamoto, Kentaro Tachibana:
Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis. - Yuezhou Zhang, Amos A. Folarin, Shaoxiong Sun, Nicholas Cummins, Yatharth Ranjan, Zulqarnain Rashid
, Pauline Conde, Callum L. Stewart, Petroula Laiou, Faith Matcham, Carolin Oetzmann
, Femke Lamers, Sara Siddi, Sara Simblett, Aki Rintala, David C. Mohr, Inez Myin-Germeys, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Vaibhav A. Narayan, Peter Annas, Matthew Hotopf, Richard J. B. Dobson
:
Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study. - Jannik Hahn, Olaf Stursberg:
Uncertain AoI in Stochastic Optimal Control of Networked and Constrained LTI Systems. - Xinyu Bian, Yuyi Mao, Jun Zhang:
Joint Activity Detection and Data Decoding in Massive Random Access via a Turbo Receiver. - Thomas Fernique, Daria Pchelina:
Compact Packings are not always the Densest. - Fahdi Kanavati, Masayuki Tsuneki:
A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images. - Mark Green:
Evaluating the performance of personal, social, health-related, biomarker and genetic data for predicting an individuals future health using machine learning: A longitudinal analysis. - Longling Zhang, Bochen Shen, Ahmed Barnawi, Shan Xi, Neeraj Kumar, Yi Wu:
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia. - Alessandro D'Ortenzio, Costanzo Manes:
Consistency issues in Gaussian Mixture Models reduction algorithms. - Max Lutz, Thomas Meurer:
Efficient Formulation of Collision Avoidance Constraints in Optimization Based Trajectory Planning and Control. - Michal Narajewski, Jens Kley-Holsteg, Florian Ziel:
tsrobprep - an R package for robust preprocessing of time series data. - Seungjun Nah, Sanghyun Son, Jaerin Lee, Kyoung Mu Lee:
Clean Images are Hard to Reblur: A New Clue for Deblurring. - Babak Barazandeh, Davoud Ataee Tarzanagh, George Michailidis:
Solving a class of non-convex min-max games using adaptive momentum methods. - Eren Berk Kama, Mustafa Kuzuoglu:
Uncertainty Relations for MIMO Ambiguity Functions. - Eren Berk Kama, Mustafa Kuzuoglu:
Symplectic Transformations on Wigner Distributions and Time Frequency Signal Design. - Ward Haddadin:
Invariant polynomials and machine learning. - José Mairton B. da Silva Jr.
, Konstantinos Ntougias, Ioannis Krikidis, Gábor Fodor, Carlo Fischione:
Simultaneous Wireless Information and Power Transfer for Federated Learning. - (Withdrawn) Multi-resource allocation for federated settings: A non-homogeneous Markov chain model.
- O. Ellegaard, Søren Bertil F. Dorch
:
The uniqueness of observatory publications. - Mohammad Hamed Mozaffari, Li-Lin Tay:
One-dimensional Active Contour Models for Raman Spectrum Baseline Correction. - Kevin Hoffman, Jae Yoon Sung, André Zazzera:
Multi-Output Random Forest Regression to Emulate the Earliest Stages of Planet Formation. - Muhammad Shaban, Shan E Ahmed Raza, Mariam Hassan, Arif Jamshed, Sajid Mushtaq, Asif Loya, Nikolaos Batis
, Jill Brooks, Paul Nankivell
, Neil Sharma, Max Robinson, Hisham Mehanna
, Syed Ali Khurram, Nasir M. Rajpoot:
A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma. - Olivier Rukundo, Hanqiang Cao:
Advances on image interpolation based on ant colony algorithm. - Zhao Wang, Changyue Ma, Yan Ye:
Multi-Density Attention Network for Loop Filtering in Video Compression. - David Qiu, Yanzhang He, Qiujia Li, Yu Zhang, Liangliang Cao, Ian McGraw:
Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction. - Yusuke Narita, Kohei Yata:
Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules. - Shigeru Furuichi, Nicusor Minculete:
Refined Young inequality and its application to divergences. - Qingchao Zhang, Mehrdad Alvandipour, Wenjun Xia, Yi Zhang, Xiaojing Ye, Yunmei Chen:
Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction. - Michael C. Burkhart
:
Discriminative Bayesian Filtering Lends Momentum to the Stochastic Newton Method for Minimizing Log-Convex Functions. - Keigo Yamada
, Yuji Saito, Taku Nonomura, Keisuke Asai:
Greedy Sensor Placement for Weighted Linear-Least Squares Estimation under Correlated Noise. - Ziyue Wang, Ya-Feng Liu, Zhilin Chen, Wei Yu:
Accelerating Coordinate Descent via Active Set Selection for Device Activity Detection for Multi-Cell Massive Random Access. - Jose M. Peña:
Simple yet Sharp Sensitivity Analysis for Unmeasured Confounding. - Johan Larsson
, Jonas Wallin:
The Hessian Screening Rule. - Akira Harada, Shota Nishikawa, Shoichi Yamada:
Deep Learning of the Eddington Tensor in the Core-collapse Supernova Simulation. - Maximilian Kentgens, Peter Jax:
Visualization of Linear Operations in the Spherical Harmonics Domain. - Felix P. Kemeth, Tom Bertalan, Nikolaos Evangelou, Tianqi Cui, Saurabh Malani, Ioannis G. Kevrekidis:
Initializing LSTM internal states via manifold learning. - Diego Di Carlo, Pinchas Tandeitnik, Cédric Foy, Antoine Deleforge, Nancy Bertin, Sharon Gannot:
dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal Processing. - Daniel Jaud, Dan Reznik, Ronaldo Garcia:
Poncelet Plectra: Harmonious Properties of Cosine Space. - Efthymios Papachristos
, Ioannis Stefanou:
Controlling earthquake-like instabilities using artificial intelligence. - Clément Dombry, Jean-Jil Duchamps:
Infinitesimal gradient boosting. - Mengmeng Kuang, Yinzhe Wu, Diego Alonso-Álvarez, David N. Firmin, Jennifer Keegan, Peter Gatehouse, Guang Yang:
Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping. - Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob:
Quantum Causal Inference in the Presence of Hidden Common Causes: an Entropic Approach. - Inavamsi Enaganti, Bud Mishra:
To mock a Mocking bird : Studies in Biomimicry. - D. Trejo Pizzo, S. Esteban, M. Scetta:
IATos: AI-powered pre-screening tool for COVID-19 from cough audio samples. - Zexun Chen, Sean Kelty, Brooke Foucault Welles, James P. Bagrow, Ronaldo Menezes, Gourab Ghoshal:
Contrasting social and non-social sources of predictability in human mobility. - Ling Huang
, Su Ruan, Pierre Decazes, Thierry Denoeux:
Evidential segmentation of 3D PET/CT images. - Otto Menegasso Pires, Eduardo Inacio Duzzioni, Jerusa Marchi, Rafael de Santiago:
Quantum circuit synthesis of Bell and GHZ states using projective simulation in the NISQ era. - Rajeev Kumar:
Finding discrete logarithm in Fp*. - Lubomír Bañas, Benjamin Gess, Marius Neuß:
Stochastic partial differential equations arising in self-organized criticality. - Hadrien Pujol, Éric Bavu, Alexandre Garcia:
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data. - Philip Doldo, Jamol Pender:
Queues with Updating Information: Finding the Amplitude of Oscillations. - Abigail Copiaco, Christian H. Ritz, Stefano Fasciani, Nidhal Abdulaziz:
DASEE A Synthetic Database of Domestic Acoustic Scenes and Events in Dementia Patients Environment. - Anand V. Patel
, Tao Hou, Juan D. Beltran Rodriguez, Tamal K. Dey, Dunbar P. Birnie III:
3D Microstructure Segmentation by Topological Persistence. - Vali Asimit, Ioannis Kyriakou, Simone Santoni, Salvatore Scognamiglio, Rui Zhu:
Robust Classification via Support Vector Machines. - Andrey Moskalenko, Mikhail Erofeev, Dmitriy S. Vatolin:
Deep Two-Stage High-Resolution Image Inpainting. - Tianyu Wang, Shi-Yuan Ma, Logan G. Wright, Tatsuhiro Onodera, Brian C. Richard, Peter L. McMahon:
An optical neural network using less than 1 photon per multiplication. - Georgios D. Barmparis, Giorgos P. Tsironis:
Discovering nonlinear resonances through physics-informed machine learning. - Prachi Loliencar, Giseon Heo:
Phenotyping OSA: a time series analysis using fuzzy clustering and persistent homology. - Qifeng Li:
General Scenario Program: Application in Smart Grid Optimization under Endogenous Uncertainty. - Ziyuan Gu, Farshid Safarighouzhdib, Meead Saberi, Taha Hossein Rashidi:
A macro-micro approach to modeling parking. - Ji Hyung Jung, Hye Won Chung, Ji Oon Lee:
Detection of Signal in the Spiked Rectangular Models. - Jay Gopalakrishnan, Benjamin Quanah Parker, Pieter Vandenberge:
Computing leaky modes of optical fibers using a FEAST algorithm for polynomial eigenproblems. - Woo-Sung Choi, Minseok Kim, Marco A. Martínez Ramírez, Jaehwa Chung, Soonyoung Jung:
AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries. - Shiba Kuanar, Vassilis Athitsos, Dwarikanath Mahapatra, Anand Rajan:
Multi-scale Deep Learning Architecture for Nucleus Detection in Renal Cell Carcinoma Microscopy Image. - Jakob Abeßer, Saichand Gourishetti, András Kátai, Tobias Clauß, Prachi Sharma, Judith Liebetrau:
IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research. - Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant:
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound. - Sohei Itahara, Takayuki Nishio, Koji Yamamoto:
Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks. - Kao-Yueh Kuo
, Ching-Yi Lai:
Exploiting Degeneracy in Belief Propagation Decoding of Quantum Codes. - Calypso Herrera, Florian Krach, Pierre Ruyssen, Josef Teichmann:
Optimal Stopping via Randomized Neural Networks. - Scott Mueller, Ang Li, Judea Pearl:
Causes of Effects: Learning individual responses from population data. - Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker:
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation. - Dejan Stepec, Danijel Skocaj:
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation. - Dejan Stepec, Danijel Skocaj:
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis. - Ruixu Geng, Yang Hu, Yan Chen:
Recent Advances on Non-Line-of-Sight Imaging: Conventional Physical Models, Deep Learning, and New Scenes. - Philippe Raffy, Jean François Pambrun, Ashish Kumar, David Dubois, Jay Waldron Patti, Robyn Alexandra Cairns, Ryan Young:
Deep Learning Body Region Classification of MRI and CT examinations. - Bahman Gharesifard, Xudong Chen:
Structural averaged controllability of linear ensemble systems. - Ming Li, Jason M. Amini, Yun Seong Nam:
Two-qubit gates in a trapped-ion quantum computer by engineering motional modes. - Jason M. Klusowski:
Universal Consistency of Decision Trees for High Dimensional Additive Models. - Abiy Tasissa, Pranay Tankala, Demba E. Ba:
Weighed 𝓁1 on the simplex: Compressive sensing meets locality. - Tejas Bhojraj:
Notions of indifference for genericity: Union and subsequence sets. - Przemyslaw Zielinski
, Jan S. Hesthaven:
Discovery of slow variables in a class of multiscale stochastic systems via neural networks. - Yanglan Ou, Ye Yuan, Xiaolei Huang, Kelvin K. Wong, John Volpi, James Z. Wang, Stephen T. C. Wong:
LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images. - Ekaterina Zolotareva:
Applying Convolutional Neural Networks for Stock Market Trends Identification. - Zafiirah Hosenie, Steven Bloemen, Paul J. Groot
, Robert J. Lyon
, Bart Scheers, Benjamin W. Stappers, Fiorenzo Stoppa, Paul Vreeswijk, Simon De Wet, Marc Klein Wolt, Elmar Körding, Vanessa McBride, Rudolf Le Poole, Kerry Paterson, Daniëlle L. A. Pieterse
, Patrick Woudt:
MeerCRAB: MeerLICHT Classification of Real and Bogus Transients using Deep Learning. - Pradip Kumar Gautam, Deweshvar Singh:
Defined the predictors of the lightning over India by using artificial neural network. - Rajeev Rikhye, Quan Wang, Qiao Liang, Yanzhang He, Ding Zhao, Yiteng Huang, Arun Narayanan, Ian McGraw:
Personalized Keyphrase Detection using Speaker and Environment Information. - Jordan Cambe, Krittika D'Silva, Anastasios Noulas, Cecilia Mascolo, Adam Waksman:
Modelling Cooperation and Competition in Urban Retail Ecosystems with Complex Network Metrics. - Zheng Chu, Pei Xiao, De Mi, Wanming Hao, Mohsen Khalily, Lie-Liang Yang:
A Novel Transmission Policy for Intelligent Reflecting Surface Assisted Wireless Powered Sensor Networks. - Leszek Szczecinski, Raphaëlle Tihon:
Simplified Kalman filter for online rating: one-fits-all approach. - Denis Stanev, Riccardo Riva, Michele Umassi:
Deep Neural Network as an alternative to Boosted Decision Trees for PID. - Ryan Kohl, Eduardo Corona, Vani Cheruvu, Shravan K. Veerapaneni:
Fast and accurate solvers for simulating Janus particle suspensions in Stokes flow. - Anthony D. Gruber, Max D. Gunzburger, Lili Ju, Yuankai Teng, Zhu Wang:
Nonlinear Level Set Learning for Function Approximation on Sparse Data with Applications to Parametric Differential Equations. - Samer S. Hanna, Enes Krijestorac, Danijela Cabric:
UAV Swarm Position Optimization for High Capacity MIMO Backhaul. - Abbas Raza Ali, Marcin Budka:
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease. - Jing Lu, Tianli Zhou, Carolina Osorio:
Adaptive Partitioning Strategy for High-Dimensional Discrete Simulation-based Optimization Problems. - Samet Oymak, Mingchen Li, Mahdi Soltanolkotabi:
Generalization Guarantees for Neural Architecture Search with Train-Validation Split. - Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman:
Stable Online Control of Linear Time-Varying Systems. - Alain Hertz, Hadrien Mélot, Sébastien Bonte, Gauvain Devillez:
Lower Bounds and properties for the average number of colors in the non-equivalent colorings of a graph. - Gleb Pogudin, Xingjian Zhang:
Interpretable exact linear reductions via positivity. - Charles-Edouard Bréhier:
Asymptotic preserving schemes for SDEs driven by fractional Brownian motion in the averaging regime. - Xi-Ning Zhuang, Zhao-Yun Chen, Yu-Chun Wu, Guo-Ping Guo:
Quantum Quantitative Trading: High-Frequency Statistical Arbitrage Algorithm. - Vivek Saraswat, Ajinkya Gorad, Anand Naik, Aakash Patil, Udayan Ganguly:
Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification. - Meng Li, Changyan Lin, Lixia Shu, Xin Pu, Yi Chen, Heng Wu, Jiasong Li, Hongshuai Cao:
The entire network structure of Crossmodal Transformer. - Amit K. Chattopadhyay, Subhagata Chattopadhyay:
VIRDOC: Statistical and Machine Learning by a VIRtual DOCtor to Predict Dengue Fatality. - Ivan Vishniakou, Johannes D. Seelig:
Differentiable model-based adaptive optics for two-photon microscopy. - Oren Rippel, Alexander G. Anderson, Kedar Tatwawadi, Sanjay Nair, Craig Lytle, Lubomir D. Bourdev:
ELF-VC: Efficient Learned Flexible-Rate Video Coding. - Breno Krohling, Pedro B. C. Castro, André G. C. Pacheco, Renato A. Krohling:
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information. - Dinesh Krishnamoorthy:
On the Design and Analysis of Multivariable Extremum Seeking Control using Fast Fourier Transform. - Mehmet Caner:
Generalized Linear Models with Structured Sparsity Estimators. - Adam Glos, Ryuhei Mori, Jevgenijs Vihrovs:
Quantum speedups for dynamic programming on n-dimensional lattice graphs. - Daniel Hesslow, Alessandro Cappelli, Igor Carron, Laurent Daudet, Raphaël Lafargue, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli:
Photonic co-processors in HPC: using LightOn OPUs for Randomized Numerical Linear Algebra. - Jamol Pender, Sergio Palomo:
Overlap Times in the Infinite Server Queue. - Han Zhang, Huawei Fan, Liang Wang, Xingang Wang:
Learning Hamiltonian dynamics by reservoir computer. - Adam Zsolt Wagner:
Constructions in combinatorics via neural networks. - Tobias Haug, M. S. Kim:
Optimal training of variational quantum algorithms without barren plateaus. - Frederieke Richert, Roman Worschech, Bernd Rosenow:
Soft Mode in the Dynamics of Over-realizable On-line Learning for Soft Committee Machines. - Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete, Miroslav Stoyanov:
A Feynman-Kac based numerical method for the exit time probability of a class of transport problems. - Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong:
Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses. - Boris V. Semisalov, V. N. Grebenev, Sergey B. Medvedev, Sergey V. Nazarenko:
Numerical analysis of a self-similar turbulent flow in Bose-Einstein condensates. - Maciej Buze
, Thomas E. Woolley, L. Angela Mihai:
A stochastic framework for atomistic fracture. - Krittika D'Silva, Jordan Cambe, Anastasios Noulas, Cecilia Mascolo, Adam Waksman:
Modelling Urban Dynamics with Multi-Modal Graph Convolutional Networks. - Sibylle Marcotte, Amélie Barbe, Rémi Gribonval, Titouan Vayer, Marc Sebban, Pierre Borgnat, Paulo Gonçalves:
Fast Multiscale Diffusion on Graphs. - Junhua Chen
, Haiyan Zeng, Chong Zhang, Zhenwei Shi, Andre Dekker, Leonard Wee, Iñigo Bermejo:
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics. - Shurui Li, Jianqin Xu, Jing Qian:
Revisiting the double-well problem by deep learning with a hybrid network. - Michael Andrews, Bjorn Burkle, Yi-Fan Chen, Davide DiCroce, Sergei Gleyzer, Ulrich Heintz, Meenakshi Narain, Manfred Paulini, Nikolas Pervan, Yusef Shafi, Wei Sun, Kun Yang:
End-to-End Jet Classification of Boosted Top Quarks with the CMS Open Data. - Tianyu Lu, Alex X. Lu, Alan M. Moses:
Random Embeddings and Linear Regression can Predict Protein Function. - Ezzat Elokda, Andrea Censi, Saverio Bolognani:
Dynamic population games. - Francesco Cosentino, Harald Oberhauser, Alessandro Abate:
Grid-Free Computation of Probabilistic Safety with Malliavin Calculus. - Yonglong Li, Vincent Y. F. Tan, Marco Tomamichel:
Optimal Adaptive Strategies for Sequential Quantum Hypothesis Testing. - Yu You, Yi-Shuai Niu:
A Refined Inertial DCA for DC Programming. - Syun Izawa, Koki Kitai, Shu Tanaka, Ryo Tamura, Koji Tsuda:
Continuous black-box optimization with quantum annealing and random subspace coding. - Keyu An, Yi Zhang, Zhijian Ou:
Deformable TDNN with adaptive receptive fields for speech recognition. - Yuan Feng
, Sanjiang Li
, Mingsheng Ying
:
Verification of Distributed Quantum Programs. - Zijian Zhou, Zhenya Yan:
Deep learning neural networks for the third-order nonlinear Schrodinger equation: Solitons, breathers, and rogue waves. - Philippe Blaettchen
, Andre P. Calmon, Georgina Hall:
Traceability Technology Adoption in Supply Chain Networks. - Ayush Deva, Siddhant Shingi, Avtansh Tiwari, Nayana Bannur, Sansiddh Jain, Jerome White, Alpan Raval, Srujana Merugu:
Interpretability of Epidemiological Models : The Curse of Non-Identifiability. - Andrea de Jesus Torres, Antonio Alberto D'Amico, Luca Sanguinetti, Moe Z. Win:
Cramér-Rao Bounds for Near-Field Localization. - Touraj Nikazad, Mahdi Mirzapour:
A string averaging method based on strictly quasi-nonexpansive operators with generalized relaxation. - Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang:
On Stochastic Moving-Average Estimators for Non-Convex Optimization. - Yuni Iwamasa:
A combinatorial algorithm for computing the degree of the determinant of a generic partitioned polynomial matrix with 2×2 submatrices. - Ramen Ghosh, Wynita M. Griggs, Jakub Marecek, Robert N. Shorten:
Unique Ergodicity in the Interconnections of Ensembles with Applications to Two-Sided Markets. - Onur Keles, Mustafa Akin Yilmaz, Ahmet Murat Tekalp, Cansu Korkmaz, Zafer Dogan:
On the Computation of PSNR for a Set of Images or Video. - Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias:
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. - Siddharth Bhaskar, Robin Kaarsgaard:
Graph Traversals as Universal Constructions. - Thomas Tournaire, Hind Castel-Taleb, Emmanuel Hyon:
Optimal control policies for resource allocation in the Cloud: comparison between Markov decision process and heuristic approaches. - Truc Nguyen, Franz Pernkopf:
Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks. - Matei Moldoveanu, Abdellatif Zaidi:
On In-network learning. A Comparative Study with Federated and Split Learning. - Yixin Cao, Shenghua Wang:
Complementation in t-perfect graphs. - Peng-Fei Zhou, Rui Hong, Shi-Ju Ran:
Automatically Differentiable Quantum Circuit for Many-qubit State Preparation. - Hamdan Awan, Andreani D. Odysseos, Niovi Nicolaou, Sasitharan Balasubramaniam:
Analysis of Molecular Communications on the Growth Structure of Glioblastoma Multiforme. - Lena Sembach, Jan Pablo Burgard, Volker H. Schulz:
A Riemannian Newton Trust-Region Method for Fitting Gaussian Mixture Models. - Laura Davila-Pena, Ignacio García-Jurado, Balbina Casas-Méndez:
Assessment of the influence of features on a classification problem: an application to COVID-19 patients. - Luca Falorsi:
Continuous normalizing flows on manifolds. - Simen Eide, David S. Leslie
, Arnoldo Frigessi:
Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling. - Junhua Chen, Chong Zhang, Alberto Traverso, Ivan Zhovannik, Andre Dekker, Leonard Wee, Iñigo Bermejo:
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study. - Aldo Glielmo, Claudio Zeni, Bingqing Cheng, Gábor Csányi, Alessandro Laio:
Ranking the information content of distance measures. - David Lowry-Duda, Adam Sakareassen:
Towards Flying through Modular Forms. - Tae Min Hong, Benjamin Carlson, Brandon Eubanks, Stephen Racz, Stephen Roche, Joerg Stelzer, Daniel Stumpp:
Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physics. - Thorben Finke, Michael Krämer, Alessandro Morandini
, Alexander Mück, Ivan Oleksiyuk:
Autoencoders for unsupervised anomaly detection in high energy physics. - Kimihiko Fukushima, Kazumitsu Sakai:
Can a CNN trained on the Ising model detect the phase transition of the $q$-state Potts model? - Yohann de Castro
, Vincent Duval, Romain Petit:
Towards Off-the-grid Algorithms for Total Variation Regularized Inverse Problems. - Luyao Zhang
, Yulin Liu:
Optimal Algorithmic Monetary Policy. - Marco Bellagente, Manuel Haußmann, Michel Luchmann, Tilman Plehn:
Understanding Event-Generation Networks via Uncertainties.

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