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ORCIDCoRR, August 2021
- Balachandar S., Chinnaiyan R.
:
Secure solutions for Smart City Command Control Centre using AIOT. - Yunfeng Bai, Qingqing Zhang, Wei Wang, Riqing Chen, Qingwen Liu:
Long-Range Optical Wireless Information and Power Transfer. - Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian:
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges. - Sebastian Kotstein, Justus Bogner:
Which RESTful API Design Rules Are Important and How Do They Improve Software Quality? A Delphi Study with Industry Experts. - Xiangbo Meng, Kang Gao, Bertrand M. Hochwald:
A Training-Based Mutual Information Lower Bound for Large-Scale Systems. - Yu-Hong Yeung, David A. Barajas-Solano, Alexandre M. Tartakovsky:
Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems. - Faisal Alamri, Anjan Dutta:
Multi-Head Self-Attention via Vision Transformer for Zero-Shot Learning. - Gonzalo Gonzalez de Diego, Patrick E. Farrell, Ian J. Hewitt:
On the finite element approximation of a semicoercive Stokes variational inequality arising in glaciology. - Dário Augusto Borges Oliveira, Jorge Guevara Diaz, Bianca Zadrozny, Campbell D. Watson:
Controlling Weather Field Synthesis Using Variational Autoencoders. - Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin:
Object-aware Contrastive Learning for Debiased Scene Representation. - Estelle M. Massart, Vinayak Abrol:
Coordinate descent on the orthogonal group for recurrent neural network training. - Alireza Javaheri, Catarina Brites, Fernando Pereira, João Ascenso:
A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment. - Rafael C. e Silva, Nuno Fachada, Diogo de Andrade, Nélio Códices:
Procedural Generation of 3D Maps with Snappable Meshes. - Skye Morgan, Tharindu Ranasinghe, Marcos Zampieri:
WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments. - Fábio Luiz Usberti, Celso Cavellucci, Christiano Lyra:
Interruption flows for reliability evaluation of power distribution networks. - Nicolas Bousquet, Laurent Feuilloley, Théo Pierron:
Local certification of graph decompositions and applications to minor-free classes. - Jie Lei, Tamara L. Berg, Mohit Bansal:
MTVR: Multilingual Moment Retrieval in Videos. - Jerry Chee, Megan Renz, Anil Damle, Chris De Sa:
Pruning Neural Networks with Interpolative Decompositions. - Ajay Kulkarni, Deri Chong, Feras A. Batarseh:
Foundations of data imbalance and solutions for a data democracy. - Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh:
Sequential Blocked Matching. - Fasma Diele, Ilenia Luiso, Carmela Marangi, Angela Martiradonna:
Evaluating the impact of increasing temperatures on changes in Soil Organic Carbon stocks: sensitivity analysis and non-standard discrete approximation. - Yasamin Moghaddas, Tommy Nguyen, Shih-Yuan Yu, Rozhin Yasaei, Mohammad Abdullah Al Faruque:
Technical Report for HW2VEC - A Graph Learning Tool for Automating Hardware Security. - Michalis Kallitsis, Vasant G. Honavar, Rupesh Prajapati, Dinghao Wu, John Yen:
Zooming Into the Darknet: Characterizing Internet Background Radiation and its Structural Changes. - Zhe Huang, Gary Long, Benjamin Wessler, Michael C. Hughes:
A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms. - Stefan Hoffmann:
Computational Complexity of Synchronization under Sparse Regular Constraints. - Ravi Teja Gadde, Ivan Bulyko:
Towards Continual Entity Learning in Language Models for Conversational Agents. - Taosha Fan, Todd D. Murphey:
Majorization Minimization Methods for Distributed Pose Graph Optimization. - Awni Y. Hannun:
The History of Speech Recognition to the Year 2030. - Brittany Froese Hamfeldt, Axel G. R. Turnquist:
A Convergent Numerical Method for the Reflector Antenna Problem via Optimal Transport on the Sphere. - Georgii S. Novikov, Maxim E. Panov, Ivan V. Oseledets:
Tensor-Train Density Estimation. - Benedikt Maderbacher, Roderick Bloem:
Reactive Synthesis Modulo Theories Using Abstraction Refinement. - Wilder E. Castellanos, Jose Macias, Harold Pinilla, José David Alvarado:
Internet of things: a multiprotocol gateway as solution of the interoperability problem. - Ali Tazarv, Marco Levorato:
A Deep Learning Approach to Predict Blood Pressure from PPG Signals. - Juan Carlos García-Escartín, Vicent Gimeno, Julio José Moyano-Fernández:
Quantum collision finding for homomorphic hash functions. - Hung Le, Shay Solomon:
Near-Optimal Spanners for General Graphs in (Nearly) Linear Time. - Alexander Grushin, Walt Woods:
Extracting Grammars from a Neural Network Parser for Anomaly Detection in Unknown Formats. - Peng Qian, Tahira Naseem, Roger Levy, Ramón Fernandez Astudillo:
Structural Guidance for Transformer Language Models. - Mostafa Parchami, Saif Iftekar Sayed:
Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks. - Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael C. Mozer, Becca Roelofs:
Soft Calibration Objectives for Neural Networks. - Leonard E. van Dyck, Roland Kwitt, Sebastian J. Denzler, Walter R. Gruber:
Comparing object recognition in humans and deep convolutional neural networks - An eye tracking study. - Zeyad Emam, Andrew Kondrich, Sasha Harrison, Felix Lau, Yushi Wang, Aerin Kim, Elliot Branson:
On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models. - Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee:
Margin-Aware Intra-Class Novelty Identification for Medical Images. - Xiaodong Xin, Kun He, Jialu Bao, Bart Selman, John E. Hopcroft:
Structure Amplification on Multi-layer Stochastic Block Models. - Xin-Yang Liu, Jian-Xun Wang:
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control. - Adityanarayanan Radhakrishnan, George Stefanakis, Mikhail Belkin, Caroline Uhler:
Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks. - Abhishek Goudar, Angela P. Schoellig:
Online Spatio-temporal Calibration of Tightly-coupled Ultrawideband-aided Inertial Localization. - Thomas Watson, Bibek Poudel:
Learning to Control Direct Current Motor for Steering in Real Time via Reinforcement Learning. - Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Jiawei Liu, Zhizheng Zhang, Zheng-Jun Zha:
Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification. - Rob van Glabbeek, Peter Höfner, Weiyou Wang:
Enabling Preserving Bisimulation Equivalence. - Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato:
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. - Lantao Yu, Kuida Liu, Michael T. Orchard:
Manifold-Inspired Single Image Interpolation. - Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu:
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning. - Sumesh Kumar, Fahad Saeed:
Communication-avoiding micro-architecture to compute Xcorr scores for peptide identification. - Francesco Malandrino, Alessandro Nordio, Carla Fabiana Chiasserini:
Eavesdropping with Intelligent Reflective Surfaces: Threats and Defense Strategies. - Zhongyun Bao, Chengjiang Long, Gang Fu, Daquan Liu, Yuanzhen Li, Jiaming Wu, Chunxia Xiao:
Scene Inference for Object Illumination Editing. - Kihwan Kim:
An Empirical Analysis on Transparent Algorithmic Exploration in Recommender Systems. - Bogdan Marinescu, Oriol Gomis-Bellmunt, Florian Dörfler, Horst Schulte, Lukas Sigrist:
Dynamic Virtual Power Plant: A New Concept for Grid Integration of Renewable Energy Sources. - Wenxiao Wang, Lu Yao, Long Chen, Deng Cai, Xiaofei He, Wei Liu:
CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention. - Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He:
Multiplex Graph Networks for Multimodal Brain Network Analysis. - Vidhi Jain, Prakhar Agarwal, Shishir G. Patil, Katia P. Sycara:
Learning Embeddings that Capture Spatial Semantics for Indoor Navigation. - Fengping Wang, Jie Li, Chun Qi, Yun Zhang, Danmin Miao:
A Dynamic 3D Spontaneous Micro-expression Database: Establishment and Evaluation. - Min Ren, Lingxiao He, Xingyu Liao, Wu Liu, Yunlong Wang, Tieniu Tan:
Learning Instance-level Spatial-Temporal Patterns for Person Re-identification. - Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang:
Greedy Network Enlarging. - Li Ding, Yongwei Wang, Xin Ding, Kaiwen Yuan, Ping Wang, Hua Huang, Z. Jane Wang:
Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework. - Wei Zhang, He Dong, Yunlang Xu, Xiaoping Li:
Performance assessment and tuning of PID control using TLBO: the single-loop case and PI/P cascade case. - Tommaso Buvoli, Michael L. Minion:
On the Stability of Exponential Integrators for Non-Diffusive Equations. - Jingxian Sun, Lichao Zhang, Yufei Zha, Abel Gonzalez-Garcia, Peng Zhang, Wei Huang, Yanning Zhang:
Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking. - Huiyan Li, Haohong Lin, You Wang, Hengyang Wang, Han Gao, Qing Ai, Guang Li:
Voice Reconstruction from Silent Speech with a Sequence-to-Sequence Model. - Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Learning with Noisy Labels via Sparse Regularization. - Varsha Suresh, Desmond C. Ong:
Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition. - Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li:
HiFT: Hierarchical Feature Transformer for Aerial Tracking. - Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong:
Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding. - Sjoerd Dirksen, Martin Genzel, Laurent Jacques, Alexander Stollenwerk:
The Separation Capacity of Random Neural Networks. - Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu:
Multi-scale Matching Networks for Semantic Correspondence. - Yu Zhou, Xiaoqing Zhang, Juanjuan Shen, Tingting Han, Taolue Chen, Harald C. Gall:
Adversarial Robustness of Deep Code Comment Generation. - Rui Gong, Kazunori Hase:
A Plant Root System Algorithm Based on Swarm Intelligence for One-dimensional Biomedical Signal Feature Engineering. - Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Freezing Sub-Models During Incremental Process Discovery: Extended Version. - Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. - (Withdrawn) Solving Constrained Horn Clauses over ADTs by Finite Model Finding.
- Dorra Ben Khalifa, Matthieu Martel:
A Study of the Floating-Point Tuning Behaviour on the N-body Problem. - Jian Wang, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang:
Distributed Learning for Time-varying Networks: A Scalable Design. - Ningyuan Chen, Xuefeng Gao, Yi Xiong:
Debiasing Samples from Online Learning Using Bootstrap. - Fang Zheng, Le Wang, Sanping Zhou, Wei Tang, Zhenxing Niu, Nanning Zheng, Gang Hua:
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction. - Joseph Marvin Imperial, Ethel Ong:
Diverse Linguistic Features for Assessing Reading Difficulty of Educational Filipino Texts. - Kayleigh Boekhoudt, Alina Matei, Maya Aghaei, Estefanía Talavera:
HR-Crime: Human-Related Anomaly Detection in Surveillance Videos. - Moira Shooter, Charles Malleson, Adrian Hilton:
SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation. - Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker:
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data. - Peng Wu, Julius S. Partridge, Enrico Anderlini, Yuanchang Liu, Richard W. G. Bucknall:
An Intelligent Energy Management Framework for Hybrid-Electric Propulsion Systems Using Deep Reinforcement Learning. - Wei W. Xing, Xiang Jin, Yi Liu, Dan Niu, Weishen Zhao, Zhou Jin:
BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver. - Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma:
ECLARE: Extreme Classification with Label Graph Correlations. - Uttaran Bhattacharya, Elizabeth Childs, Nicholas Rewkowski, Dinesh Manocha:
Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning. - Yoshiki Kubotani, Yoshihiro Fukuhara, Shigeo Morishima:
RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer Interactions. - Kishore Tumarada, Yifan Zhang, Fan Yang, Eduard C. Dragut, Omprakash Gnawali, Arjun Mukherjee:
Opinion Prediction with User Fingerprinting. - Muhammad Monjurul Karim, Yu Li, Ruwen Qin:
Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents. - Mingyuan Luo, Xin Yang, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni:
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction. - Christian Ellis, Maggie B. Wigness, John G. Rogers III, Craig Lennon, Lance Fiondella:
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration. - Ana-Maria Bucur, Ioana R. Podina, Liviu P. Dinu:
A Psychologically Informed Part-of-Speech Analysis of Depression in Social Media. - Davide Ancona, Pietro Barbieri, Elena Zucca:
Enhanced Regular Corecursion for Data Streams. - Santolo Leveque, John W. Pearson:
Parameter-Robust Preconditioning for Oseen Iteration Applied to Stationary and Instationary Navier-Stokes Control. - Zherong Pan, Duo Zhang, Changhe Tu, Xifeng Gao:
Planning of Power Grasps Using Infinite Program Under Complementary Constraints. - Felipe Colombelli, Thayne Woycinck Kowalski, Mariana Recamonde Mendoza:
A Hybrid Ensemble Feature Selection Design for Candidate Biomarkers Discovery from Transcriptome Profiles. - Mark Rucker, Stephen C. Adams, Roy Hayes, Peter A. Beling:
Inverse Reinforcement Learning for Strategy Identification. - Akshita Jha, Bhanukiran Vinzamuri, Chandan K. Reddy:
Fair Representation Learning using Interpolation Enabled Disentanglement. - Andrea Cini, Ivan Marisca, Cesare Alippi:
Multivariate Time Series Imputation by Graph Neural Networks. - Raj Kolamuri, Zilin Si, Yufan Zhang, Arpit Agarwal, Wenzhen Yuan:
Improving Grasp Stability with Rotation Measurement from Tactile Sensing. - You-Wei Luo, Chuan-Xian Ren:
Conditional Bures Metric for Domain Adaptation. - Song Zhang, Amritanshu Pandey, Xiaochuan Luo, Maggy Powell, Ranjan Banerji, Lei Fan, Abhineet Parchure, Edgardo Luzcando:
Practical Adoption of Cloud Computing in Power Systems - Drivers, Challenges, Guidance, and Real-world Use Cases. - Mika Hämäläinen, Khalid Al-Najjar:
Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers. - Chao Liu, Sencheng Yu, Mark Yim:
Motion Planning for Variable Topology Trusses: Reconfiguration and Locomotion. - Gil Ben Zvi, Eyal Leizerovich, Nimrod Talmon:
Iterative Deliberation via Metric Aggregation. - Joy T. Wu, Nkechinyere N. Agu, Ismini Lourentzou, Arjun Sharma, Joseph A. Paguio, Jasper S. Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo A. Celi, Mehdi Moradi:
Chest ImaGenome Dataset for Clinical Reasoning. - Alexander M. Zenner, Erwin P. Böttinger, Stefan Konigorski:
StudyMe: A New Mobile App for User-Centric N-of-1 Trials. - Wenda Zhou, Shirin Jalali, Arian Maleki:
Compressed sensing in the presence of speckle noise. - Kaiyi Ji:
Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis. - Jinyan Su, Di Wang:
Faster Rates of Differentially Private Stochastic Convex Optimization. - Shah Zeb, Muhammad Ahmad Rathore, Aamir Mahmood, Syed Ali Hassan, JongWon Kim, Mikael Gidlund:
Edge Intelligence in Softwarized 6G: Deep Learning-enabled Network Traffic Predictions. - Kelvin Cheng, Christopher G. Healey, Tianfu Wu:
Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones. - Sayak Nag, Dripta S. Raychaudhuri, Sujoy Paul, Amit K. Roy-Chowdhury:
Learning Few-shot Open-set Classifiers using Exemplar Reconstruction. - Renata Souza, Orges Cico, Ivan Machado:
A Survey on Software Engineering Practices in Brazilian Startups. - Hanzhang Wang, Zhengkai Wu, Huai Jiang, Yichao Huang, Jiamu Wang, Selçuk Köprü, Tao Xie:
Groot: An Event-graph-based Approach for Root Cause Analysis in Industrial Settings. - Max Rudolph, Sonia Chernova, Harish Ravichandar:
Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation. - Michael Zechmair, Yannick Morel:
Penalty-based Numerical Representation of Rigid Body Interactions with Applications to Simulation of Robotic Grasping. - Kaibing Yang, Renshu Gu, Masahiro Toyoura, Gang Xu:
LASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh Rendering. - Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong:
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. - Botao Zhu, Ebrahim Bedeer, Ha H. Nguyen, Robert Barton, Jerome Henry:
UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning. - Mo Shan, Qiaojun Feng, You-Yi Jau, Nikolay Atanasov:
ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description. - Chiyu Zhang, Muhammad Abdul-Mageed, AbdelRahim A. Elmadany, El Moatez Billah Nagoudi:
Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning. - Jinghua Zhang, Chen Li, Marcin Grzegorzek:
Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer. - Sibo Zhu, Handong Zhao, Hongfu Liu:
IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation. - Nam Yul Yu:
Design of Non-Orthogonal Sequences Using a Two-Stage Genetic Algorithm for Grant-Free Massive Connectivity. - Guoxing Sun, Xin Chen, Yizhang Chen, Anqi Pang, Pei Lin, Yuheng Jiang, Lan Xu, Jingya Wang, Jingyi Yu:
Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions. - Chunjiang Che, Xiaoli Li, Chuan Chen, Xiaoyu He, Zibin Zheng:
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee. - Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein:
Agent-aware State Estimation in Autonomous Vehicles. - Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma:
DECAF: Deep Extreme Classification with Label Features. - (Withdrawn) An adaptive kernel-split quadrature method for parameter-dependent layer potentials.
- Guttu Sai Abhishek, Harshad Ingole, Parth Laturia, Vineeth Dorna, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer:
SPEAR : Semi-supervised Data Programming in Python. - Gil Shapira, Noga Levy, Ishay Goldin, Roy Josef Jevnisek:
Knowing When to Quit: Selective Cascaded Regression with Patch Attention for Real-Time Face Alignment. - Yi-Wei Chen, Hung-Shin Lee, Yen-Hsing Chen, Hsin-Min Wang:
SurpriseNet: Melody Harmonization Conditioning on User-controlled Surprise Contours. - Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song:
Visual Boundary Knowledge Translation for Foreground Segmentation. - Shakeeb Ahmad, Andrew B. Mills, Eugene R. Rush, Eric W. Frew, J. Sean Humbert:
3D Reactive Control and Frontier-Based Exploration for Unstructured Environments. - Yuhang Guo, Dong Hao:
Emerging Methods of Auction Design in Social Networks. - Matthew Andres Moreno, Santiago Rodriguez Papa, Alexander Lalejini, Charles Ofria:
SignalGP-Lite: Event Driven Genetic Programming Library for Large-Scale Artificial Life Applications. - Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song:
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels. - Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Transformer-based deep imitation learning for dual-arm robot manipulation. - Zhenyu Xie, Xujie Zhang, Fuwei Zhao, Haoye Dong, Michael C. Kampffmeyer, Haonan Yan, Xiaodan Liang:
WAS-VTON: Warping Architecture Search for Virtual Try-on Network. - Haozhe Su, Tao Xue, Chengguizi Han, Mridul Aanjaneya:
A-ULMPM: An Arbitrary Updated Lagrangian Material Point Method for Efficient Simulation of Solids and Fluids. - Yuval Pinter, Amanda Stent, Mark Dredze, Jacob Eisenstein:
Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information. - Issac Sim, Ju-Hyung Lim, Young-Wan Jang, Ji-Hwan You, Seon Taek Oh, Young-Keun Kim:
Developing a Compressed Object Detection Model based on YOLOv4 for Deployment on Embedded GPU Platform of Autonomous System. - Zhoubo Xu, Puqing Chen, Romain Raveaux, Xin Yang, Huadong Liu:
Deep graph matching meets mixed-integer linear programming: Relax at your own risk ? - Liguang Zhou, Jun Cen, Xingchao Wang, Zhenglong Sun, Tin Lun Lam, Yangsheng Xu:
BORM: Bayesian Object Relation Model for Indoor Scene Recognition. - Bo Miao, Liguang Zhou, Ajmal Mian, Tin Lun Lam, Yangsheng Xu:
Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition. - Binlong Zhang, Wei Zhou:
Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text. - Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah:
Threat of Adversarial Attacks on Deep Learning in Computer Vision: Survey II. - Julian Theis, Houshang Darabi:
Masking Neural Networks Using Reachability Graphs to Predict Process Events. - Wei-Chang Yeh:
Computation of the Activity-on-Node Binary-State Reliability with Uncertainty Components. - Yihao Liu, Anran Liu, Jinjin Gu, Zhipeng Zhang, Wenhao Wu, Yu Qiao, Chao Dong:
Discovering "Semantics" in Super-Resolution Networks. - Haitong Tang, Shuang He, Xia Lu, Qin Yu, Kaiyue Liu, Hongjie Yan, Nizhuan Wang:
CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation. - Alexander B. Veretennikov:
Relevance ranking for proximity full-text search based on additional indexes with multi-component keys. - Barbora Hudcová, Tomás Mikolov:
Computational Hierarchy of Elementary Cellular Automata. - Andrea Albanese, Matteo Nardello, Davide Brunelli:
Automated Pest Detection with DNN on the Edge for Precision Agriculture. - Xiaojun Jia, Huanqian Yan, Yonglin Wu, Xingxing Wei, Xiaochun Cao, Yong Zhang:
An Effective and Robust Detector for Logo Detection. - Hannes Fassold, Antonis Karakottas, Dorothea Tsatsou, Dimitrios Zarpalas, Barnabás Takács, Christian Fuhrhop, Angelo Manfredi, Nicolas Patz, Simona Tonoli, Iana Dulskaia:
Hyper360 - a Next Generation Toolset for Immersive Media. - Stanislav Kikot, Agi Kurucz, Vladimir V. Podolskii, Michael Zakharyaschev:
Deciding boundedness of monadic sirups. - Zhixiong Jin, Seongjin Choi, Hwasoo Yeo:
Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach. - Madhav P. Desai, Aniket Deshmukh:
An efficient reverse-lookup table based strategy for solving the synonym and cache coherence problem in virtually indexed, virtually tagged caches. - Lukas Schneider, Johannes Scholten, Bulcsú Sándor, Claudius Gros:
Charting closed-loop collective cultural decisions: From book best sellers and music downloads to Twitter hashtags and Reddit comments. - Dongkyu Lee, Zhiliang Tian, Lanqing Xue, Nevin L. Zhang:
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization. - Manuel Bodirsky, Simon Knäuer, Jakub Rydval:
Amalgamation is Undecidable. - Muhammad Iqbal Rochman, Vanlin Sathya, Norlen Nunez, Damián Fernández, Monisha Ghosh, Ahmed S. Ibrahim, William Payne:
A Comparison Study of Cellular Deployments in Chicago and Miami Using Apps on Smartphones. - Yifan Zhao, Le Hui, Jin Xie:
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering. - Guansong Pang, Choubo Ding, Chunhua Shen, Anton van den Hengel:
Explainable Deep Few-shot Anomaly Detection with Deviation Networks. - Chandan Kumar Sheemar, Dirk T. M. Slock:
Hybrid Beamforming and Combining for Millimeter Wave Full Duplex Massive MIMO Interference Channel. - Ling He, Miaowen Wen, Yingyang Chen, Bingli Jiao:
Delay Aware Secure Offloading for NOMA-Assisted Mobile Edge Computing in Internet of Vehicles. - Trung X. Pham, Rusty John Lloyd Mina, Dias Issa, Chang D. Yoo:
Self-supervised Learning with Local Attention-Aware Feature. - Yasir Ali Farrukh, Irfan Khan, Zeeshan Ahmad, Rajvikram Madurai Elavarasan:
A Sequential Supervised Machine Learning Approach for Cyber Attack Detection in a Smart Grid System. - Zeyuan Chen, Yifan Jiang, Dong Liu, Zhangyang Wang:
CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise. - Fidan Mehmeti, Thomas F. La Porta:
Modeling and Analysis of mMTC Traffic in 5G Base Stations. - Anthony Bordg, Nicolò Cavalleri:
Elements of Differential Geometry in Lean: A Report for Mathematicians. - Matt Franchi:
Webots.HPC: A Parallel Robotics Simulation Pipeline for Autonomous Vehicles on High Performance Computing. - Ekaterina Karmanova, Valerii Serpiva, Stepan Perminov, Roman Ibrahimov, Aleksey Fedoseev, Dzmitry Tsetserukou:
SwarmPlay: A Swarm of Nano-Quadcopters Playing Tic-tac-toe Board Game against a Human. - Fernando Llorente, Luca Martino, Jessa Read, David Delgado:
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning. - Huimin Zeng, Jiahao Su, Furong Huang:
Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders. - Jinming Wen, Xiao-Wen Chang:
On the Success Probability of Three Detectors for the Box-Constrained Integer Linear Model. - D. Oniz, Y. L. Mo, Kalyana B. Nakshatrala:
Shapley values and machine learning to characterize metamaterials for seismic applications. - Prithwiraj Bhattacharjee, Rajan Saha Raju, Arif Ahmad, M. Shahidur Rahman:
End to End Bangla Speech Synthesis. - Mohammadreza Baharani, Vinit Katariya, Nichole Morris, Omidreza Shoghli, Hamed Tabkhi:
DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways. - Dimitris Kostadimas, Kalliopi Kastampolidou, Theodore Andronikos:
Correlation of biological and computer viruses through evolutionary game theory. - Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy:
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes. - Alexander Dietsche, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza:
Powerline Tracking with Event Cameras. - Bowen Wen, Kostas E. Bekris:
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models. - Juhani Risku:
Improving the performance of early-stage software startups: Design and creativity viewpoints. - Frank Uhlig, An-Bao Xu:
Iterative optimal solutions of linear matrix equations for Hyperspectral and Multispectral image fusing. - Mithun Das, Punyajoy Saha, Ritam Dutt, Pawan Goyal, Animesh Mukherjee, Binny Mathew:
You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights. - Ronalds Zakovskis, Andis Draguns, Eliza Gaile, Emils Ozolins, Karlis Freivalds:
Gates are not what you need in RNNs. - Ehsan Moradi, Debajyoti Mondal:
BigGraphVis: Leveraging Streaming Algorithms and GPU Acceleration for Visualizing Big Graphs. - Arjen T. Veenstra, Albert H. Schrotenboer, Michiel A. J. uit het Broek, Evrim Ursavas:
Green Hydrogen Plant: Optimal control strategies for integrated hydrogen storage and power generation with wind energy. - Olga Kellert, Nicholas H. Matlis:
Geolocation differences of language use in urban areas. - Mohamed Camil Belhadjoudja:
Fuzzy-based Higher Adaptive Order Sliding Mode Observers. - Mine Gokce Dogan, Yahya H. Ezzeldin, Christina Fragouli, Addison W. Bohannon:
A Reinforcement Learning Approach for Scheduling in mmWave Networks. - Tam N. Nguyen:
Cybonto: Towards Human Cognitive Digital Twins for Cybersecurity. - Peng Yin, Lingyun Xu, Ziyue Feng, Anton Egorov, Bing Li:
PSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding. - Fernando Fernandes dos Santos, Sujit Malde, Carlo Cazzaniga, Christopher Frost, Luigi Carro, Paolo Rech:
Experimental Findings on the Sources of Detected Unrecoverable Errors in GPUs. - Lojze Zust, Matej Kristan:
Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding. - Binayak Tiwari, Mei Yang, Yingtao Jiang, Xiaohang Wang:
Efficient On-Chip Multicast Routing based on Dynamic Partition Merging. - Gunnar Brataas, Antonio Martini, Geir Kjetil Hanssen, Georg Ræder:
Agile Elicitation of Scalability Requirements for Open Systems: A Case Study. - Guihong Li, Sumit K. Mandal, Ümit Y. Ogras, Radu Marculescu:
FLASH: Fast Neural Architecture Search with Hardware Optimization. - Ramin Bashizade, Xiangyu Zhang, Sayan Mukherjee, Alvin R. Lebeck:
Accelerating Markov Random Field Inference with Uncertainty Quantification. - Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal:
MuSiQue: Multi-hop Questions via Single-hop Question Composition. - Chang Shu, Yusen Zhang, Xiangyu Dong, Peng Shi, Tao Yu, Rui Zhang:
Logic-Consistency Text Generation from Semantic Parses. - Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Shrivastava, Maneesh Singh, Vivek Srikumar:
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. - Gangming Zhao, Weifeng Ge, Yizhou Yu:
GraphFPN: Graph Feature Pyramid Network for Object Detection. - Junyu Gao, Maoguo Gong, Xuelong Li:
Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer. - Khoi Nguyen, Yen Nguyen, Bao Le:
Semi-Supervising Learning, Transfer Learning, and Knowledge Distillation with SimCLR. - Andrew Anderson, Rupika Dikkala, Tianyi Li, Mihaela Vorvoreanu, Margaret Burnett:
Understanding Diversity in Human-AI Data: What Cognitive Style Disaggregation Reveals. - Mohammad Goudarzi, Qifan Deng, Rajkumar Buyya:
Resource Management in Edge and Fog Computing using FogBus2 Framework. - Shunsuke Kobayashi, Shigetoshi Yazaki:
Convergence of a finite difference scheme for the Kuramoto-Sivashinsky equation defined on an expanding circle. - Dennis Jarvis, Jacqueline Jarvis, Chen-Wei Yang, Roopak Sinha, Valeriy Vyatkin:
Janus: A Systems Engineering Approach to the Design of Industrial Cyber-Physical Systems. - A. S. M. Iftekhar, Satish Kumar, R. Austin McEver, Suya You, B. S. Manjunath:
GTNet: Guided Transformer Network for Detecting Human-Object Interactions. - Debabrata Mahapatra, Vaibhav Rajan:
Exact Pareto Optimal Search for Multi-Task Learning: Touring the Pareto Front. - Abhay Mohan M. V, Giridhar K:
Accurate Signal Recovery in UHF Band Reuse-1 Cellular OFDMA Downlinks. - Rong Yan, Yuxuan Yuan, Zhaoyu Wang, Guangchao Geng, Quanyuan Jiang:
Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network. - Yang Zhang, Xin Yu, Xiaobo Lu, Ping Liu:
Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails. - Nupur Jain, Vivek Gupta, Anshul Rai, Gaurav Kumar:
TabPert: An Effective Platform for Tabular Perturbation. - Jackie Shen:
Bucketed PCA Neural Networks with Neurons Mirroring Signals. - Yiju Yang, Taejoon Kim, Guanghui Wang:
Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation. - Xi Xie, Nian Li, Xiangyong Zeng, Xiaohu Tang, Yao Yao:
Several classes of bent functions over finite fields. - Harsh Tataria, Mansoor Shafi:
Simple Framework of ZF Precoding Analysis for Full-Dimensional Massive MIMO Systems. - Mengyang Pu, Yaping Huang, Qingji Guan, Haibin Ling:
RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth. - Shuhao Cao, Long Chen, Ruchi Guo, Frank Lin:
Immersed Virtual Element Methods for Elliptic Interface Problems. - Shi Qiu, Yunfan Wu, Saeed Anwar, Chongyi Li:
Investigating Attention Mechanism in 3D Point Cloud Object Detection. - Hao Tang, Xingwei Liu, Shanlin Sun, Xiangyi Yan, Xiaohui Xie:
Recurrent Mask Refinement for Few-Shot Medical Image Segmentation. - Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning. - Joongheon Kim, Yunseok Kwak, Soyi Jung, Jae-Hyun Kim:
Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation. - Jianqiu Zhang, Kaisong Huang, Tianzheng Wang, King Lv:
Skeena: Efficient and Consistent Cross-Engine Transactions. - Buser Say, Scott Sanner, Jo Devriendt, Jakob Nordström, Peter J. Stuckey:
Planning with Learned Binarized Neural Networks Benchmarks for MaxSAT Evaluation 2021. - Ge Wang, Yanxiang Zhang:
From "study with me" to study with you: how activities of Study With Me livestream on Bilibili facilitate SRL community. - Wenyang Xu, Guofa Cai, Yi Fang, Guanrong Chen:
Performance Analysis of a Two-Hop Relaying LoRa System. - Kalpit Yadav, Vipul Arora, Sonu Kumar Jha, Mohit Kumar, Sachchida Nand Tripathi:
Few-shot calibration of low-cost air pollution (PM2.5) sensors using meta-learning. - Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. - Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan Duan:
From LSAT: The Progress and Challenges of Complex Reasoning. - Lingchao Guo, Zhaoming Lu, Xiangming Wen, Liming Wang, David Gesbert, Zijun Han:
Leveraging Multiple Legacy Wi-Fi Links for Human Behavior Sensing. - Pablo Restrepo Henao, Jannik Fischbach, Dominik Spies, Julian Frattini, Andreas Vogelsang:
Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews. - Victor Storchan, Svitlana Vyetrenko, Tucker Balch:
Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators. - Henry Förster, Michael Kaufmann, Chrysanthi N. Raftopoulou:
Recognizing and Embedding Simple Optimal 2-Planar Graphs. - Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala:
Homotopy Continuation for Sensor Networks Self-Calibration. - Yang Wang, Zhen Gao:
Three-Dimensional Trajectory Design for Multi-User MISO UAV Communications: A Deep Reinforcement Learning Approach. - Zhen Li, Jing Tang, Deqing Zou, Qian Chen, Shouhuai Xu, Chao Zhang, Yichen Li, Hai Jin:
Towards Making Deep Learning-based Vulnerability Detectors Robust. - Botong Qu, Eugene Zhang, Yue Zhang:
Automatic Polygon Layout for Primal-Dual Visualization of Hypergraphs. - Anwen Liao, Zhen Gao, Yang Yang, Ha H. Nguyen, Hua Wang, Hao Yin:
Angle Estimation for Terahertz Ultra-Massive MIMO-Based Space-to-Air Communications. - Fabio Stroppa, Mario Selvaggio, Nathaniel Agharese, Ming Luo, Laura H. Blumenschein, Elliot W. Hawkes, Allison M. Okamura:
Shared-Control Teleoperation Paradigms on a Soft Growing Robot Manipulator. - Qingsong Zhou, Hai Liang, Zhimin Lin, Kele Xu:
Multimodal Feature Fusion for Video Advertisements Tagging Via Stacking Ensemble. - Eike Fokken, Simone Göttlich, Michael Herty:
Efficient simulation of coupled gas and power networks under uncertain demands. - Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu:
Self-supervised Audiovisual Representation Learning for Remote Sensing Data. - Chinmay Rajhans, Sowmya Gupta:
Nonlinear Controller Design with Prediction Horizon Time Reduction Applied to Unstable CSTR System. - Huilin Yang, Junyan Lyu, Pujin Cheng, Xiaoying Tang:
LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment. - Tri Nguyen, Risto Katila, Tuan Nguyen Gia:
A Novel Internet-of-Drones and Blockchain-based System Architecture for Search and Rescue. - Huayan Zhang, Tianwei Zhang, Tin Lun Lam, Sethu Vijayakumar:
PoseFusion2: Simultaneous Background Reconstruction and Human Shape Recovery in Real-time. - Jordan Inturrisi, Sui Yang Khoo, Abbas Z. Kouzani, Riccardo Pagliarella:
Piecewise Linear Units Improve Deep Neural Networks. - Yuwei Sun, Ng S. T. Chong, Hideya Ochiai:
Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks. - Marius Bock, Alexander Hoelzemann, Michael Moeller, Kristof Van Laerhoven:
Improving Deep Learning for HAR with shallow LSTMs. - Wei Ren, Julien Calbert, Raphaël M. Jungers:
Zonotope-based Controller Synthesis for LTL Specifications. - Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong:
Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning. - Viacheslav Osaulenko, Danylo Ulianych:
Formation of cell assemblies with iterative winners-take-all computation and excitation-inhibition balance. - Shai Gul, Reuven Cohen, Simi Haber:
Efficient covering of convex domains by congruent discs. - Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang:
Group Fisher Pruning for Practical Network Compression. - Jochen Gorski, Kathrin Klamroth, Julia Sudhoff Santos:
Biobjective Optimization Problems on Matroids with Binary Costs. - Zhongqiang Ren, Sivakumar Rathinam, Howie Choset:
Multi-Objective Path-Based D* Lite. - Cheng Gong, Zirui Li, Xingyu Zhou, Jiachen Li, Jianwei Gong, Junhui Zhou:
Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot. - Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans:
ConveRT for FAQ Answering. - Renyuan Zhang, Zenghui Wang, Kai Cai:
N-Step Nonblocking Supervisory Control of Discrete-Event Systems. - Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong:
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. - Guillaume O. Berger, Raphaël M. Jungers:
Complexity of the LTI system trajectory boundedness problem. - Benjamin Rouxel, Sebastian Altmeyer, Clemens Grelck:
YASMIN: a Real-time Middleware for COTS Heterogeneous Platforms. - Jorge Justiniano, Marko Rajkovic, Martin Rumpf:
Splines for Image Metamorphosis. - Evgenii Safronov, Nicola A. Piga, Michele Colledanchise, Lorenzo Natale:
Active Perception for Ambiguous Objects Classification. - Emanuele De Angelis, Fabio Fioravanti, John P. Gallagher, Manuel V. Hermenegildo, Alberto Pettorossi, Maurizio Proietti:
Analysis and Transformation of Constrained Horn Clauses for Program Verification. - Zhongqiang Ren, Sivakumar Rathinam, Howie Choset:
Multi-objective Conflict-based Search Using Safe-interval Path Planning. - Viktor Duplyakov, Anton D. Morozov, Dmitriy Popkov, Egor V. Shel, Albert L. Vainshtein, Evgeny Burnaev, Andrei Osiptsov, Grigory V. Paderin:
Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem. - Yuhao Huang, Xin Yang, Yuxin Zou, Chaoyu Chen, Jian Wang, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Jianqiao Zhou, Dong Ni:
Flip Learning: Erase to Segment. - Wanda Zhao, Anatol Pashkevich, Damien Chablat:
Non-linear stiffness modeling of multi-link compliant serial manipulator composed of multiple tensegrity segments. - Shigemichi Matsuzaki, Jun Miura, Hiroaki Masuzawa:
Semantic-aware plant traversability estimation in plant-rich environments for agricultural mobile robots. - Haichou Chen, Yishu Deng, Bin Li, Zeqin Li, Haohua Chen, Bing-Zhong Jing, Chaofeng Li:
BezierSeg: Parametric Shape Representation for Fast Object Segmentation in Medical Images. - Wanda Zhao, Anatol Pashkevich, Damien Chablat:
Redundancy Resolution in Kinematic Control of Serial Manipulators in Multi-Obstacle Environment. - Harin Lee, Frank Höger, Marc Schönwiesner, Minsu Park, Nori Jacoby:
Cross-cultural Mood Perception in Pop Songs and its Alignment with Mood Detection Algorithms. - Jannis Bulling, Benjamin Jurgelucks, Jens Prager, Andrea Walther:
Defect reconstruction in a 2D semi-analytical waveguide model via derivative-based optimization. - Paul Grundmann, Sebastian Arnold, Alexander Löser:
Self-supervised Answer Retrieval on Clinical Notes. - (Withdrawn) Analysing digital in-memory computing for advanced finFET node.
- Md Afzal Ansari, Md. Meraz, Pavan Chakraborty, Mohammed Javed:
Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud. - Martin Pawelczyk, Sascha Bielawski, Johannes van den Heuvel, Tobias Richter, Gjergji Kasneci:
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms. - Natalia Khanzhina, Alexey Lapenok, Andrey Filchenkov:
Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling. - Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai:
Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning. - Peter Kokol, Jernej Zavrsnik, Helena Blazun Vosner:
Identifying historical roots in paediatric echocardiography using RPYS. - Neil K. Chada, Håkon Hoel, Ajay Jasra, Georgios E. Zouraris:
Improved efficiency of multilevel Monte Carlo for stochastic PDE through strong pairwise coupling. - Dennis Conway, Loïc Simon, Alexis Lechervy, Frédéric Jurie:
Training face verification models from generated face identity data. - Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang:
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization. - Filiberto Fele, Ezequiel Debada, José María Maestre, Eduardo F. Camacho:
Coalitional Control for Self-Organizing Agents. - Zhipeng Zhang, Yihao Liu, Xiao Wang, Bing Li, Weiming Hu:
Learn to Match: Automatic Matching Network Design for Visual Tracking. - Junyang Huang, Yongbo Wang, Yongliang Wang, Yang Dong, Yanghua Xiao:
Relation Aware Semi-autoregressive Semantic Parsing for NL2SQL. - Hiroe Yamazaki, Hilary Weller, Colin J. Cotter, Philip A. Browne:
Conservation with moving meshes over orography. - Debendranath Das, Amudhan Muthaiah, Sushmita Ruj:
Blockchain-Enabled Secure and Smart HealthCare System. - Robert Schöne, Thomas Ilsche, Mario Bielert, Markus Velten, Markus Schmidl, Daniel Hackenberg:
Energy Efficiency Aspects of the AMD Zen 2 Architecture. - Matthias Grundmann, Max Baumstark:
Estimating the Node Degree of Public Peers and Detecting Sybil Peers Based on Address Messages in the Bitcoin P2P Network. - Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong:
Active Learning in Gaussian Process State Space Model. - Alexander Felfernig:
AI Techniques for Software Requirements Prioritization. - Anum Talpur, Mohan Gurusamy:
Adversarial Attacks Against Deep Reinforcement Learning Framework in Internet of Vehicles. - Matthias Keicher, Hendrik Burwinkel, David Bani-Harouni, Magdalini Paschali, Tobias Czempiel, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler:
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction. - Chao Jiang, Canchen Jiang, Dongwei Chen, Fei Hu:
Densely connected neural networks for nonlinear regression. - Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi:
Constrained Graphic Layout Generation via Latent Optimization. - Jun Wei, Qin Wang, Zhen Li, Sheng Wang, S. Kevin Zhou, Shuguang Cui:
Shallow Feature Matters for Weakly Supervised Object Localization. - Jayaram Raghuram, Yijing Zeng, Dolores García Martí, Somesh Jha, Suman Banerjee, Joerg Widmer, Rafael Ruiz Ortiz:
Domain Adaptation for Autoencoder-Based End-to-End Communication Over Wireless Channels. - Jun Wei, Yiwen Hu, Ruimao Zhang, Zhen Li, S. Kevin Zhou, Shuguang Cui:
Shallow Attention Network for Polyp Segmentation. - Cole Vick, Eunsuk Kang, Stavros Tripakis:
Counterexample Classification. - Karla Saldana Ochoa, Tina Comes:
A Machine learning approach for rapid disaster response based on multi-modal data. The case of housing & shelter needs. - Okan Özkan, Nick Würdemann:
Resilience of Well-structured Graph Transformation Systems. 69-88 - Rahul Meshram, Kesav Kaza:
Indexability and Rollout Policy for Multi-State Partially Observable Restless Bandits. - Eric Goubault, Sébastien Palumby, Sylvie Putot, Louis Rustenholz, Sriram Sankaranarayanan:
Static analysis of ReLU neural networks with tropical polyhedra. - Johannes Knittel, Steffen Koch, Thomas Ertl:
Efficient Sparse Spherical k-Means for Document Clustering. - Xiuchen Yu, Guanghui Hu, Wangtao Lu, Andreas Rathsfeld:
PML and high-accuracy boundary integral equation solver for wave scattering by a locally defected periodic surface. - Leopoldo E. Bertossi, Mostafa Milani:
Extending Sticky-Datalog+/- via Finite-Position Selection Functions: Tractability, Algorithms, and Optimization. - Cedomir Stefanovic, Yash Deshpande, H. Murat Gürsu, Wolfgang Kellerer:
Tree-Algorithms with Multi-Packet Reception and Successive Interference Cancellation. - Shuang Li, Bingfeng Han, Zhenjie Yu, Chi Harold Liu, Kai Chen, Shuigen Wang:
I2V-GAN: Unpaired Infrared-to-Visible Video Translation. - Majid Farhadi, Swati Gupta, Shengding Sun, Prasad Tetali, Michael C. Wigal:
Hardness and Approximation of Submodular Minimum Linear Ordering Problems. - Farhad Mehdifar, Charalampos P. Bechlioulis, Julien M. Hendrickx, Dimos V. Dimarogonas:
2-D Directed Formation Control Based on Bipolar Coordinates. - Kai Yue, Richeng Jin, Chau-Wai Wong, Huaiyu Dai:
Communication-Efficient Federated Learning via Predictive Coding. - (Withdrawn) Interactive Visual Facets to Support Fluid Exploratory Search.
- Jéferson Campos Nobre, Laura Rodrigues Soares, Briggette Olenka Roman Huaytalla, Elvandi da Silva Júnior, Lisandro Zambenedetti Granville:
On the Privacy of National Contact Tracing COVID-19 Applications: The Coronavírus-SUS Case. - Hazem Sallouha, Alessandro Chiumento, Sofie Pollin:
Aerial Vehicles Tracking Using Noncoherent Crowdsourced Wireless Networks. - Verena Häberle, Michael W. Fisher, Eduardo Prieto-Araujo, Florian Dörfler:
Control Design of Dynamic Virtual Power Plants: An Adaptive Divide-and-Conquer Approach. - Elias Grünewald:
Cloud Native Privacy Engineering through DevPrivOps. - Sören Bartels, Andrea Bonito, Peter Hornung:
Modeling and simulation of thin sheet folding. - Tommaso Vitali, Umberto Junior Mele, Luca Maria Gambardella, Roberto Montemanni:
Machine Learning Constructives and Local Searches for the Travelling Salesman Problem. - Adway Patra, Alexander Barg:
Node repair on connected graphs. - Xingjiao Wu, Luwei Xiao, Yixuan Sun, Junhang Zhang, Tianlong Ma, Liang He:
A Survey of Human-in-the-loop for Machine Learning. - Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He:
Exploring Lottery Ticket Hypothesis in Media Recommender Systems. - Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or:
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators. - Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis:
Rethinking gradient sparsification as total error minimization. - Saba Moeinizade, Hieu Pham, Ye Han, Austin Dobbels, Guiping Hu:
An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions. - Benjamin Paaßen:
An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs. - Shuangjia Zheng, Sijie Mai, Ya Sun, Haifeng Hu, Yuedong Yang:
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning. - Wentao Zhang, Zeang Sheng, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Evaluating Deep Graph Neural Networks. - Aneesh K. Shetty, S. Krishna, Georg Zetzsche:
Scope-Bounded Reachability in Valence Systems. - Jordan Awan, Vinayak Rao:
Privacy-Aware Rejection Sampling. - Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao:
Reliable Semantic Segmentation with Superpixel-Mix. - Laure Prétet, Gaël Richard, Geoffroy Peeters:
Is there a "language of music-video clips" ? A qualitative and quantitative study. - Mehrdad Zareh, Xiaoping Qian:
C1 Triangular Isogeometric Analysis of the von Karman Equations. - Enrique Mármol Campos, Pablo Fernández Saura, Aurora González-Vidal, José Luis Hernández-Ramos, Jorge Bernal Bernabé, Gianmarco Baldini, Antonio F. Skarmeta:
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges. - Botos Csaba, Xiaojuan Qi, Arslan Chaudhry, Puneet K. Dokania, Philip H. S. Torr:
Multilevel Knowledge Transfer for Cross-Domain Object Detection. - Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin:
Constrained Shortest Path Search with Graph Convolutional Neural Networks. - Guillaume Durandau, Wolfgang Rampeltshammer, Herman van der Kooij, Massimo Sartori:
Neuromechanical model-based control of bi-lateral ankle exoskeletons: biological joint torque and electromyogram reduction across walking conditions. - Paul Jeha, Michael Bohlke-Schneider, Pedro Mercado, Rajbir-Singh Nirwan, Shubham Kapoor, Valentin Flunkert, Jan Gasthaus, Tim Januschowski:
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series. - Pedro C. Neto, Fadi Boutros, João Ribeiro Pinto, Mohsen Saffari, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition. - Martin Cooney, Eric Järpe, Alexey V. Vinel:
"Robot Steganography"?: Opportunities and Challenges. - Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel:
Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining. - Jingqian Sun, Pei Wang, Zhiyong Gao, Zichu Liu, Yaxin Li, Xiaozheng Gan:
Wood-leaf classification of tree point cloud based on intensity and geometrical information. - Fabrice Normandin, Florian Golemo, Oleksiy Ostapenko, Pau Rodríguez, Matthew D. Riemer, Julio Hurtado, Khimya Khetarpal, Dominic Zhao, Ryan Lindeborg, Timothée Lesort, Laurent Charlin, Irina Rish, Massimo Caccia:
Sequoia: A Software Framework to Unify Continual Learning Research. - Marco Steinbrink, Philipp Koch, Bernhard Jung, Stefan May:
Rapidly-Exploring Random Graph Next-Best View Exploration for Ground Vehicles. - Reza Shafiloo, Marjan Kaedi, Ali Pourmiri:
Predicting user demographics based on interest analysis. - Marco Picchi Scardaoni, Fabio Magnacca, Andrea Massai, Vittorio Cipolla:
Aircraft turnaround time estimation in early design phases: simulation tools development and application to the case of box-wing architecture. - Fangchao Tian, Peng Liang, Muhammad Ali Babar:
Relationships between Software Architecture and Source Code in Practice: An Exploratory Survey and Interview. - Khalil Taheri, Hadi Moradi, Mostafa Tavassolipour:
A Framework for Multi-View Classification of Features. - Dong Wen, Jingfei Jiang, Jinwei Xu, Kang Wang, Tao Xiao, Yang Zhao, Yong Dou:
RFC-HyPGCN: A Runtime Sparse Feature Compress Accelerator for Skeleton-Based GCNs Action Recognition Model with Hybrid Pruning. - Kevin Osanlou:
Learning off-road maneuver plans for autonomous vehicles. - Iacopo Colonnelli, Barbara Cantalupo, Concetto Spampinato, Matteo Pennisi, Marco Aldinucci:
Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis. - Marco Ewerton, Ángel Martínez-González, Jean-Marc Odobez:
An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning. - Jennifer Switzer, Barath Raghavan:
Information Batteries: Storing Opportunity Power with Speculative Execution. - Kevin Osanlou, Andrei Bursuc, Christophe Guettier, Tristan Cazenave, Eric Jacopin:
Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search. - Amulya Musipatla, Ryan O'Donnell, Tselil Schramm, Xinyu Wu:
The SDP value of random 2CSPs. - Alexandra Ils, Dan Liu, Daniela Grunow, Steffen Eger:
Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset. - Jason d'Eon, Sri Harsha Dumpala, Chandramouli Shama Sastry, Dani Oore, Sageev Oore:
Musical Speech: A Transformer-based Composition Tool. - Maoyuan Sun, Abdul Rahman Shaikh, Hamed Alhoori, Jian Zhao:
SightBi: Exploring Cross-View Data Relationships with Biclusters. - Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis:
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. - Nenglun Chen, Xingjia Pan, Runnan Chen, Lei Yang, Zhiwen Lin, Yuqiang Ren, Haolei Yuan, Xiaowei Guo, Feiyue Huang, Wenping Wang:
Distributed Attention for Grounded Image Captioning. - Anjum, Rahul Katarya:
Analysis of Online Toxicity Detection Using Machine Learning Approaches. - Tashvik Dhamija, Anjum, Rahul Katarya:
Comparative Analysis of Machine Learning and Deep Learning Algorithms for Detection of Online Hate Speech. - Anushka Gupta, Diksha Chugh, Anjum, Rahul Katarya:
Automated News Summarization Using Transformers. - Arka Mallick, Paul Plöger, Matias Valdenegro-Toro:
Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty. - Alexandre Colle, Ronnie Smith, Scott MacLeod, Mauro Dragone:
Co-Design of Assistive Robotics with Additive Manufacturing and Cyber-Physical Modularity to Improve Trust. - Kevin Osanlou, Jeremy Frank, J. Benton, Andrei Bursuc, Christophe Guettier, Eric Jacopin, Tristan Cazenave:
Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance. - Jinghuan Shang, Michael S. Ryoo:
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. - Liangbin Xie, Xintao Wang, Chao Dong, Zhongang Qi, Ying Shan:
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution. - Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
S2-MLPv2: Improved Spatial-Shift MLP Architecture for Vision. - Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon:
SDEdit: Image Synthesis and Editing with Stochastic Differential Equations. - Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song:
Boundary Knowledge Translation based Reference Semantic Segmentation. - Ron Shmelkin, Tomer Friedlander, Lior Wolf:
Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution. - Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin:
Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning. - Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. - Susanna Lange, Kyle Helfrich, Qiang Ye:
Batch Normalization Preconditioning for Neural Network Training. - Matias Valdenegro-Toro, Alan Preciado-Grijalva, Bilal Wehbe:
Pre-trained Models for Sonar Images. - Jiahong Yuan, Neville Ryant, Xingyu Cai, Kenneth Church, Mark Y. Liberman:
Automatic recognition of suprasegmentals in speech. - Jefferson R. Souza, Teresa Bernarda Ludermir:
Metodos de Agrupamentos em dois Estagios. - Sakib Mahmud Khan, Gurcan Comert, Mashrur Chowdhury:
Efficacy of Statistical and Artificial Intelligence-based False Information Cyberattack Detection Models for Connected Vehicles. - Zadid Khan, Sakib Mahmud Khan, Jean Michel Tine, Ayse Turhan Comert, Diamon Rice, Gurcan Comert, Dimitra Michalaka, Judith Mwakalonge, Reek Majumdar, Mashrur Chowdhury:
Hybrid Quantum-Classical Neural Network for Incident Detection. - Jiahong Yuan, Xingyu Cai, Dongji Gao, Renjie Zheng, Liang Huang, Kenneth Church:
Decoupling recognition and transcription in Mandarin ASR. - Jiahong Yuan, Xingyu Cai, Renjie Zheng, Liang Huang, Kenneth Church:
The Role of Phonetic Units in Speech Emotion Recognition. - Andrei-Marius Avram, Vasile Florian Pais, Dan Tufis:
PyEuroVoc: A Tool for Multilingual Legal Document Classification with EuroVoc Descriptors. - Gheith A. Abandah, Ashraf Suyyagh, Mohammed Z. Khedher:
Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine Learning. - Parth K. Thaker, Nikhil Rao, Mohit Malu, Gautam Dasarathy:
Pure Exploration in Multi-armed Bandits with Graph Side Information. - Ali Raheem Mandeel, Mohammed Salah Al-Radhi, Tamás Gábor Csapó:
Speaker Adaptation with Continuous Vocoder-based DNN-TTS. - Vishesh Jain, Will Perkins, Ashwin Sah, Mehtaab Sawhney:
Approximate counting and sampling via local central limit theorems. - Ali Shokri, Mehdi Mirakhorli:
DepRes: A Tool for Resolving Fully Qualified Names and Their Dependencies. - Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel:
Consistent Depth of Moving Objects in Video. - Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato:
Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement. - Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu:
Knowledge-intensive Language Understanding for Explainable AI. - S. Shailja, Angela Zhang, B. S. Manjunath:
A computational geometry approach for modeling neuronal fiber pathways. - Zachary Ravichandran, Lisa R. Peng, Nathan Hughes, J. Daniel Griffith, Luca Carlone:
Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks. - Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone:
Waveform Selection for Radar Tracking in Target Channels With Memory via Universal Learning. - Emiel van Miltenburg, Miruna-Adriana Clinciu, Ondrej Dusek, Dimitra Gkatzia, Stephanie Inglis, Leo Leppänen, Saad Mahamood, Emma Manning, Stephanie Schoch, Craig Thomson, Luou Wen:
Underreporting of errors in NLG output, and what to do about it. - Nesma M. Rezk, Tomas Nordström, Dimitrios Stathis, Zain Ul-Abdin, Eren Erdal Aksoy, Ahmed Hemani:
Multi-objective Recurrent Neural Networks Optimization for the Edge - a Quantization-based Approach. - Ilias Zenelis, Xiaozhe Wang:
Wide-Area Damping Control for Interarea Oscillations in Power Grids Based on PMU Measurements. - Seonghyeon Nam, Marcus A. Brubaker, Michael S. Brown:
Neural Image Representations for Multi-Image Fusion and Layer Separation. - Tiago Barros, Pedro Conde, Gil Gonçalves, Cristiano Premebida, Miguel Monteiro, Carla Sofia Santos Ferreira, Urbano J. Nunes:
Multispectral Vineyard Segmentation: A Deep Learning approach. - Sébastien Ollivier, Stephen Longofono, Prayash Dutta, Jingtong Hu, Sanjukta Bhanja, Alex K. Jones:
PIRM: Processing In Racetrack Memories. - Claudia Martínez-de Miguel, Isabel Segura-Bedmar, Esteban Chacón-Solano, Sara Guerrero-Aspizua:
The RareDis corpus: a corpus annotated with rare diseases, their signs and symptoms. - José Carlos Franceli, Silvia Novaes Zilber Turri:
Adoption Factors OF Ebabling I4.0 Technologies and Benefits in the Supply Chain. - Hoang Long Nguyen, Vincent Renkens, Joris Pelemans, Srividya Pranavi Potharaju, Anil Kumar Nalamalapu, Murat Akbacak:
User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems. - Yuhua Zhu, Lexing Ying:
Variational Actor-Critic Algorithms. - Javier Nistal, Stefan Lattner, Gaël Richard:
DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANs. - Chelsea Sidrane, Amir Maleki, Ahmed Irfan, Mykel J. Kochenderfer:
OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems. - Xu Shun:
Two new lower bounds for the smallest singular value. - Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Stefano Mizzaro, Gianluca Demartini:
The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale. - Jing Liu, Bohan Zhuang, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai:
Elastic Architecture Search for Diverse Tasks with Different Resources. - Jiahui Fu, Qiangqiang Huang, Kevin J. Doherty, Yue Wang, John J. Leonard:
A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM. - Hansol Yoon, Sriram Sankaranarayanan:
Predictive Runtime Monitoring for Mobile Robots using Logic-Based Bayesian Intent Inference. - Nathaniel Dennler, Eura Shin, Maja J. Mataric, Stefanos Nikolaidis:
Design and Evaluation of a Hair Combing System Using a General-Purpose Robotic Arm. - Sylwia Majchrowska, Jaroslaw Pawlowski, Grzegorz Gula, Tomasz Bonus, Agata Hanas, Adam Loch, Agnieszka Pawlak, Justyna Roszkowiak, Tomasz Golan, Zuzanna Drulis-Kawa:
AGAR a microbial colony dataset for deep learning detection. - Bineet Ghosh, Sandeep Chinchali, Parasara Sridhar Duggirala:
Interpretable Trade-offs Between Robot Task Accuracy and Compute Efficiency. - Austin R. Benson, Nate Veldt, David F. Gleich:
fauci-email: a json digest of Anthony Fauci's released emails. - Bradley He, Martin Radfar:
The Performance Evaluation of Attention-Based Neural ASR under Mixed Speech Input. - Tianwei Zhang, Huayan Zhang, Xiaofei Li, Junfeng Chen, Tin Lun Lam, Sethu Vijayakumar:
AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments. - Kota Yamaguchi:
CanvasVAE: Learning to Generate Vector Graphic Documents. - Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Mikhail Yurochkin, Moninder Singh:
Your fairness may vary: Group fairness of pretrained language models in toxic text classification. - Ryan Rowe, Shivam Singhal, Daqing Yi, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa:
Desk Organization: Effect of Multimodal Inputs on Spatial Relational Learning. - Ziyuan Jiao, Zeyu Zhang, Weiqi Wang, David K. Han, Song-Chun Zhu, Yixin Zhu, Hangxin Liu:
Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective. - Dushyant Singh Chauhan, Gopendra Vikram Singh, Navonil Majumder, Amir Zadeh, Asif Ekbal, Pushpak Bhattacharyya, Louis-Philippe Morency, Soujanya Poria:
M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations. - Alexander Schperberg, Stephanie Tsuei, Stefano Soatto, Dennis W. Hong:
SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots. - Ziyuan Jiao, Zeyu Zhang, Xin Jiang, David K. Han, Song-Chun Zhu, Yixin Zhu, Hangxin Liu:
Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations. - Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu:
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction. - Bin Li, Encheng Chen, Hongru Liu, Yixuan Weng, Bin Sun, Shutao Li, Yongping Bai, Meiling Hu:
More but Correct: Generating Diversified and Entity-revised Medical Response. - Maryam Pishgar, Martha Razo, Julian Theis, Houshang Darabi:
Process Mining Model to Predict Mortality in Paralytic Ileus Patients. - Wang Chen, Piji Li, Hou Pong Chan, Irwin King:
Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization. - Yijing Liang, Said Dabia, Zhixing Luo:
The Electric Vehicle Routing Problem with Nonlinear Charging Functions. - Yoo-Seung Won, Soham Chatterjee, Dirmanto Jap, Arindam Basu, Shivam Bhasin:
DeepFreeze: Cold Boot Attacks and High Fidelity Model Recovery on Commercial EdgeML Device. - Sepideh Shafiei:
An analysis of Iranian Music Intervals based on Pitch Histogram. - Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon:
Toward Spatially Unbiased Generative Models. - Peiying Li, Shikui Tu, Lei Xu:
Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition. - Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon:
AdvRush: Searching for Adversarially Robust Neural Architectures. - James P. Wilson, Zongyuan Shen, Shalabh Gupta:
A Non-uniform Sampling Approach for Fast and Efficient Path Planning. - Behzad Chitsaz, Ahmad Khonsari, Masoumeh Moradian, Aresh Dadlani:
Energy Management in Data Centers with Server Setup Delay: A Semi-MDP Approximation. - Christopher X. Miller, Temesgen Gebrekristos, Michael Young, Enid Montague, Brenna Argall:
An Analysis of Human-Robot Information Streams to Inform Dynamic Autonomy Allocation. - Wanpeng Zhang, Xi Xiao, Yao Yao, Mingzhe Chen, Dijun Luo:
MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning. - Bingfeng Zhang, Jimin Xiao, Yao Zhao:
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation. - Ambit Kumar Pany, Morrakot Khebchareon, Amiya Kumar Pani:
Negative norm estimates and superconvergence results in Galerkin method for strongly nonlinear parabolic problems. - Mengke Ge, Xiaobing Ni, Qi Xu, Song Chen, Jinglei Huang, Yi Kang, Feng Wu:
Synthesizing Brain-Network-Inspired Interconnections for Large-Scale Network-on-Chips. - Songting Shi:
Visualizing Data using GTSNE. - Bang L. H. Nguyen, Tuyen V. Vu, Joseph M. Guerrero, Michael Steurer, Karl Schoder, Tuan A. Ngo:
Distributed Dynamic State-Input Estimation for Power Networks of Microgrids and Active Distribution Systems with Unknown Inputs. - Motasem S. Alsawadi, Miguel Rio:
Skeleton Split Strategies for Spatial Temporal Graph Convolution Networks. - Manish Pathak, Aditya Jain:
Solving Fashion Recommendation - The Farfetch Challenge. - Jiachen Li, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, Chiho Choi:
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting. - Junya Ikemoto, Toshimitsu Ushio:
Deep Reinforcement Learning Based Networked Control with Network Delays for Signal Temporal Logic Specifications. - Adarsh Patnaik, Ashish Ranjan Hota:
Optimization Based Collision Avoidance for Multi-Agent DynamicalSystems in Goal Reaching Task. - Amartya Dutta, Ferdous Ahmed Barbhuiya:
Predicting Popularity of Images Over 30 Days. - Marcos K. Aguilera, Naama Ben-David, Rachid Guerraoui, Dalia Papuc, Athanasios Xygkis, Igor Zablotchi:
Frugal Byzantine Computing. - Roman Levin, Manli Shu, Eitan Borgnia, Furong Huang, Micah Goldblum, Tom Goldstein:
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability. - Zhichao Liu, Konstantinos Karydis:
Position Control and Variable-Height Trajectory Tracking of a Soft Pneumatic Legged Robot. - Ruomu Hou, Haifeng Yu, Prateek Saxena:
Using Throughput-Centric Byzantine Broadcast to Tolerate Malicious Majority in Blockchains. - Jian Ye, Jing Zhang, Juhua Liu, Bo Du, Dacheng Tao:
I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection. - Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao:
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation. - Jakob Karalus, Felix Lindner:
Accelerating the Convergence of Human-in-the-Loop Reinforcement Learning with Counterfactual Explanations. - Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuesong Chen, Min Zhang, Shaoping Ma:
Understanding Human Reading Comprehension with Brain Signals. - Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Cycle-Consistent Inverse GAN for Text-to-Image Synthesis. - Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir:
Robust Compressed Sensing MRI with Deep Generative Priors. - Xinmeng Li, Wansen Wu, Long Qin, Quanjun Yin:
How to Evaluate Your Dialogue Models: A Review of Approaches. - Hsiao-Tzu Hung, Joann Ching, Seungheon Doh, Nabin Kim, Juhan Nam, Yi-Hsuan Yang:
EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation. - Alina Dana Miron, Crina Grosan:
Classifying action correctness in physical rehabilitation exercises. - Akshay Goindani, Manish Shrivastava:
A Dynamic Head Importance Computation Mechanism for Neural Machine Translation. - Stefanie Holly, Astrid Nieße:
Dynamic communication topologies for distributed heuristics in energy system optimization algorithms. - Jan Wietrzykowski, Piotr Skrzypczynski:
On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAM. - Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang:
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. - Patrick Ebel, Christoph Lingenfelder, Andreas Vogelsang:
Visualizing Event Sequence Data for User Behavior Evaluation of In-Vehicle Information Systems. - Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun:
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer. - Shuang Dai, Fanlin Meng, Hongsheng Dai, Qian Wang, Xizhong Chen:
Electrical peak demand forecasting- A review. - Saswati Kumari Behera, Aouthithiye Barathwaj S. R. Y, Vasundhara L, Saisudha G, Haariharan N. C:
AI Based Waste classifier with Thermo-Rapid Composting. - Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martínez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev:
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. - Ivan Kostiuk, Przemyslaw Stachura, Slawomir Konrad Tadeja, Tomasz Trzcinski, Przemyslaw Spurek:
HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population. - Chandan Sharma, Roopak Sinha, Paulo Leitão:
IASelect: Finding Best-fit Agent Practices in Industrial CPS Using Graph Databases. - David Friederich, Lynn H. Kaack, Alexandra Luccioni, Bjarne Steffen:
Automated Identification of Climate Risk Disclosures in Annual Corporate Reports. - Stefka Bouyuklieva, Javier de la Cruz:
On the Structure of the Binary LCD Codes having an Automorphism of Odd Prime Order. - Daniel Wright, Mark Batty, Brijesh Dongol:
Owicki-Gries Reasoning for C11 Programs with Relaxed Dependencies (Extended Version). - Gerui Wang, Jerome Wang, Liam Lai, Fisher Yu:
Accountability and Forensics in Blockchains: XDC Consensus Engine DPoS 2.0. - Bashar Talafha, Muhy Eddin Za'ter, Samer Suleiman, Mahmoud Al-Ayyoub, Mohammed N. Al-Kabi:
sarcasm detection and quantification in arabic tweets. - Arngeir Berge, Vegard Velle Sjøen, Alain D. Starke, Christoph Trattner:
Changing Salty Food Preferences with Visual and Textual Explanations in a Search Interface. - Václav Blazej, Pratibha Choudhary, Dusan Knop, Jan Matyás Kristan, Ondrej Suchý, Tomás Valla:
Constant Factor Approximation for Tracking Paths and Fault Tolerant Feedback Vertex Set. - Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering. - Mayank Jain, Mukta Jain, Tarek AlSkaif, Soumyabrata Dev:
Impact of Load Demand Dataset Characteristics on Clustering Validation Indices. - Souvik Das, Sougata Saha, Rohini K. Srihari:
Medical Literature Mining and Retrieval in a Conversational Setting. - Ahmed Al-Hindawi, Marcela Paula Vizcaychipi, Yiannis Demiris:
Continuous Non-Invasive Eye Tracking In Intensive Care. - Ding Xiang, Becky West, Jiaqi Wang, Xiquan Cui, Jinzhou Huang:
Adaptively Optimize Content Recommendation Using Multi Armed Bandit Algorithms in E-commerce. - Quanye Jia, Rui Liu, Jianying Lin:
Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization. - Stefanos Antaris, Dimitrios Rafailidis:
Sequence Adaptation via Reinforcement Learning in Recommender Systems. - Ashis Pati, Alexander Lerch:
Is Disentanglement enough? On Latent Representations for Controllable Music Generation. - Xiaoxue Zang, Lijuan Liu, Maria Wang, Yang Song, Hao Zhang, Jindong Chen:
PhotoChat: A Human-Human Dialogue Dataset with Photo Sharing Behavior for Joint Image-Text Modeling. - Albert Weichselbraun:
Inscriptis - A Python-based HTML to text conversion library optimized for knowledge extraction from the Web. - Mohamed Lechiakh, Alexandre Maurer:
FEBR: Expert-Based Recommendation Framework for beneficial and personalized content. - Wenqi Cai, Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros:
Optimal Management of the Peak Power Penalty for Smart Grids Using MPC-based Reinforcement Learning. - Md. Shirajum Munir, Ki Tae Kim, Kyi Thar, Dusit Niyato, Choong Seon Hong:
Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging. - Robert Schöne, Markus Schmidl, Mario Bielert, Daniel Hackenberg:
FIRESTARTER 2: Dynamic Code Generation for Processor Stress Tests. - Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar:
A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data. - Tung-I Chen, Jen-Wei Wang, Winston H. Hsu:
ODIP: Towards Automatic Adaptation for Object Detection by Interactive Perception. - Junjie Yang, Hao Sun, Hao An, Changhong Wang:
Impact Mitigation for Dynamic Legged Robots with Steel Wire Transmission Using Nonlinear Active Compliance Control. - Yu Sun, Joe Falco, Máximo A. Roa, Berk Çalli:
Research Challenges and Progress in Robotic Grasping and Manipulation Competitions. - Rina Onda, Zhengyan Gao, Masaaki Kotera, Kenta Oono:
Fast Estimation Method for the Stability of Ensemble Feature Selectors. - Anant Khandelwal:
WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue. - Kewei Fu, Han-Fu Chen, Wen-Xiao Zhao:
Distributed System Identification for Linear Stochastic Systems with Binary Sensors. - Timm Linder, Narunas Vaskevicius, Robert Schirmer, Kai O. Arras:
Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study. - Sepanta Zeighami, Ritesh Ahuja, Gabriel Ghinita, Cyrus Shahabi:
A Neural Database for Differentially Private Spatial Range Queries. - Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo:
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. - Luca Ciccone, Luca Padovani:
Inference Systems with Corules for Combined Safety and Liveness Properties of Binary Session Types. - Jiantao Wu, Fabrizio Orlandi, Tarek AlSkaif, Declan O'Sullivan, Soumyabrata Dev:
Ontology Modeling for Decentralized Household Energy Systems. - Harald Garcke, Dennis Trautwein:
Numerical analysis for a Cahn-Hilliard system modelling tumour growth with chemotaxis and active transport. - Jake Love, Jeroen Mulkers, George Bourianoff, Jonathan Leliaert, Karin Everschor-Sitte:
Task Agnostic Metrics for Reservoir Computing. - Yandong Wen, Weiyang Liu, Adrian Weller, Bhiksha Raj, Rita Singh:
SphereFace2: Binary Classification is All You Need for Deep Face Recognition. - Dianhao Zhang, Ngo Anh Vien, Mien Van, Seán F. McLoone:
Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction. - Xingyu Zhou, Zhen Gao:
Joint Active User Detection and Channel Estimation for Grant-Free NOMA-OTFS in LEO Constellation Internet-of-Things. - Graham Cormode, Igor L. Markov:
Bit-efficient Numerical Aggregation and Stronger Privacy for Trust in Federated Analytics. - Yao Wang, Yangtao Zheng, Boyang Gao, Di Huang:
Double-Dot Network for Antipodal Grasp Detection. - Md Momen Bhuiyan, Michael A. Horning, Sang Won Lee, Tanushree Mitra:
NudgeCred: Supporting News Credibility Assessment on Social Media Through Nudges. - Kathlén Kohn, Thomas Merkh, Guido Montúfar, Matthew Trager:
Geometry of Linear Convolutional Networks. - Matthias Springstein, Stefanie Schneider, Javad Rahnama, Eyke Hüllermeier, Hubertus Kohle, Ralph Ewerth:
iART: A Search Engine for Art-Historical Images to Support Research in the Humanities. - José Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens:
Controlled Deep Reinforcement Learning for Optimized Slice Placement. - Hao Zhou, Pei Ke, Zheng Zhang, Yuxian Gu, Yinhe Zheng, Chujie Zheng, Yida Wang, Chen Henry Wu, Hao Sun, Xiaocong Yang, Bosi Wen, Xiaoyan Zhu, Minlie Huang, Jie Tang:
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training. - Joshua Bowren, Luis G. Sánchez Giraldo, Odelia Schwartz:
Inference via Sparse Coding in a Hierarchical Vision Model. - Marcin Budka, Matthew R. Bennet, Sally Reynolds, Shelby Barefoot, Sarah Reel, Selina Reidy, Jeremy Walker:
Sexing Caucasian 2D footprints using convolutional neural networks. - Gustavo Pérez, Subhransu Maji:
Domain Adaptor Networks for Hyperspectral Image Recognition. - S. Karami, M. Ahmadnasab, Mahmoud Hadizadeh, Amirhossein Amiraslani:
Intra-Basis Multiplication of Polynomials Given in Various Polynomial Bases. - Rémi Garcia, Anastasia Volkova, Martin Kumm, Alexandre Goldsztejn, Jonas Kühle:
Hardware-aware Design of Multiplierless Second-Order IIR Filters with Minimum Adders. - Moktari Mostofa, Salman Mohamadi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition. - Gustavo A. Cardona, Diego F. Salazar-D'Antonio, Cristian-Ioan Vasile, David Saldaña:
Non-Prehensile Manipulation of Cuboid Objects Using a Catenary Robot. - Barbora Hudcová, Tomás Mikolov:
Classification of Discrete Dynamical Systems Based on Transients. - Tun-Min Hung, Bo-Yu Chen, Yen-Tung Yeh, Yi-Hsuan Yang:
A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset. - Bingwen Hu, Ping Liu, Zhedong Zheng, Mingwu Ren:
SPG-VTON: Semantic Prediction Guidance for Multi-pose Virtual Try-on. - Evangelos Galaris, Francesco Calabrò, Daniela di Serafino, Constantinos I. Siettos:
Numerical Solution of Stiff Ordinary Differential Equations with Random Projection Neural Networks. - Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
An Empirical Study on the Usage of Transformer Models for Code Completion. - Amit Gajbhiye, Noura Al Moubayed, Steven Bradley:
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference. - Feras A. Batarseh, Rasika Mohod, Abhinav Kumar, Justin Bui:
The application of artificial intelligence in software engineering: a review challenging conventional wisdom. - Feras A. Batarseh, Abhinav Kumar, Sam Eisenberg:
The history and future prospects of open data and open source software. - Ekaterina Karmanova, Valerii Serpiva, Stepan Perminov, Aleksey Fedoseev, Dzmitry Tsetserukou:
SwarmPlay: Interactive Tic-tac-toe Board Game with Swarm of Nano-UAVs driven by Reinforcement Learning. - Gabriel Kronberger, Evgeniya Kabliman, Johannes Kronsteiner, Michael Kommenda:
Predicting Calibration Parameter Values for Constitutive Models using Genetic Programming. - Haoye Chai, Supeng Leng, Fan Wu, Jianhua He:
Secure and Efficient Blockchain based Knowledge Sharing for Connected Autonomous Vehicles. - Yu Li, Muhammad Monjurul Karim, Ruwen Qin:
Who is Better at Anticipating Traffic Crashes, Human or Artificial Intelligence? A Gaze Data-based Exploratory Study. - Miguel Costa:
Full-Text and URL Search Over Web Archives. - Miguel Costa, Julien Masanès:
Big Data Science Over the Past Web. - Emmanouil S. Rigas, Panayiotis Kolios, Georgios Ellinas:
Scheduling Aerial Vehicles in an Urban Air Mobility Scheme. - Liliana Borcea, Josselin Garnier, Alexander V. Mamonov, Jörn T. Zimmerling:
Reduced order model approach for imaging with waves. - Marco Mantovani, Alberto Momigliano:
Towards Substructural Property-Based Testing. - Saeideh Nabipour:
Fast BCH Coding for Optimal Robust Image Watermarking in DCT Domain. - Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Generalized Source-free Domain Adaptation. - Maher Said, Emma R. Zajdela, Amanda Stathopoulos:
Accelerating the Adoption of Disruptive Technologies: The Impact of COVID-19 on Intention to Use Self-Driving Vehicles. - Nilton Cuellar, Anderson Pereira, Ivan F. M. Menezes, Americo Cunha Jr.:
Non-intrusive polynomial chaos expansion for topology optimization using polygonal meshes. - Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante:
Domain Generalization via Gradient Surgery. - Rohan Anil, Badih Ghazi, Vineet Gupta, Ravi Kumar, Pasin Manurangsi:
Large-Scale Differentially Private BERT. - Zongyuan Shen, Palash Agrawal, James P. Wilson, Ryan Harvey, Shalabh Gupta:
CPPNet: A Coverage Path Planning Network. - Marco Salucci, Nicola Anselmi:
Multi-Frequency GPR Microwave Imaging of Sparse Targets Through a Multi-Task Bayesian Compressive Sensing Approach. - Luyao Niu, Dinuka Sahabandu, Andrew Clark, Radha Poovendran:
A Game-Theoretic Framework for Controlled Islanding in the Presence of Adversaries. - Giovanni Gabbolini, Derek Bridge:
An Interpretable Music Similarity Measure Based on Path Interestingness. - Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot:
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. - Roxana Smarandache, David G. M. Mitchell:
A Unifying Framework to Construct QC-LDPC Tanner Graphs of Desired Girth. - Ambrish Rawat, Killian Levacher, Mathieu Sinn:
The Devil is in the GAN: Defending Deep Generative Models Against Backdoor Attacks. - David Yu Cheng Chan, Vassos Hadzilacos, Xing Hu, Sam Toueg:
An Impossibility Result on Strong Linearizability in Message-Passing Systems. - Dinar Sharafutdinov, Mark Griguletskii, Pavel Kopanev, Mikhail Kurenkov, Gonzalo Ferrer, Aleksey Burkov, Aleksei Gonnochenko, Dzmitry Tsetserukou:
Comparison of modern open-source visual SLAM approaches. - Mingxing Xu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard:
Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets. - Frances Ding, Jean-Stanislas Denain, Jacob Steinhardt:
Grounding Representation Similarity with Statistical Testing. - Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto:
Uniform Sampling over Episode Difficulty. - Zaid Khan, Yun Fu:
Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation. - Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang, Meng Wei, Philip H. S. Torr, Wayne Zhang, Dahua Lin:
Vision Transformer with Progressive Sampling. - Nikolay K. Vereshchagin:
Information disclosure in the framework of Kolmogorov complexity. - Benjamin Ampel, Sagar Samtani, Steven Ullman, Hsinchun Chen:
Linking Common Vulnerabilities and Exposures to the MITRE ATT&CK Framework: A Self-Distillation Approach. - Atharva Anand Joshi, Pranay Bhardwaj, Syed Mohammad Zafaruddin:
Terahertz Wireless Transmissions with Maximal Ratio Combining over Fluctuating Two-Ray Fading. - Sara Melotte, Mayank Kejriwal:
Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets. - Jun Liu, Shu-Lin Wu:
Parallel-in-time preconditioners for the Sinc-Nyström method. - Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching:
Categorical EHR Imputation with Generative Adversarial Nets. - Jihun Han, Yoonsang Lee:
Inhomogenous Regularization with Limited and Indirect Data. - Osama A. Marzouk:
The Sod gasdynamics problem as a tool for benchmarking face flux construction in the finite volume method. - Pavan Seshadri, Alexander Lerch:
Improving Music Performance Assessment with Contrastive Learning. - Jun Liu, Xiang-Sheng Wang, Shu-Lin Wu, Tao Zhou:
A well-conditioned direct PinT algorithm for first- and second-order evolutionary equations. - Aida Mostafazadeh Davani, Ali Omrani, Brendan Kennedy, Mohammad Atari, Xiang Ren, Morteza Dehghani:
Improving Counterfactual Generation for Fair Hate Speech Detection. - Valerio Bonometti, Mathieu J. Ruiz, Anders Drachen, Alex R. Wade:
Approximating Attributed Incentive Salience In Large Scale Scenarios. A Representation Learning Approach Based on Artificial Neural Networks. - Timothy Jones, Yiran Jiang, John Paisley, Tian Zheng:
Scalable Community Detection in Massive Networks Using Aggregated Relational Data. - Suchandra Dutta, Dhrubasish Sarkar, Sohom Roy, Dipak K. Kole, Premananda Jana:
A Study on Herd Behavior Using Sentiment Analysis in Online Social Network. - Jessica Shi, Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab S. Mirrokni:
Scalable Community Detection via Parallel Correlation Clustering. - Nicolas Berthier, Youcheng Sun, Wei Huang, Yanghao Zhang, Wenjie Ruan, Xiaowei Huang:
Tutorials on Testing Neural Networks. - Janet Hui-wen Hsiao, Hilary Hei Ting Ngai, Luyu Qiu, Yi Yang, Caleb Chen Cao:
Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI). - Ioannis Anagnostides, Themis Gouleakis:
Deterministic Distributed Algorithms and Lower Bounds in the Hybrid Model. - Monnie Parida, Manjira Sinha:
Pandemic and disability: Challenges faced and role of technology. - Shreyas Kousik, Adam Dai, Grace Xingxin Gao:
Ellipsotopes: Combining Ellipsoids and Zonotopes for Reachability Analysis and Fault Detection. - Jeremy L. Thompson, Jed Brown, Yunhui He:
Local Fourier Analysis of P-Multigrid for High-Order Finite Element Operators. - Andrew C. Reed, Michael K. Reiter:
Optimally Hiding Object Sizes with Constrained Padding. - Haleh Hayati, Carlos Murguia, Nathan van de Wouw:
Finite Horizon Privacy of Stochastic Dynamical Systems: A Synthesis Framework for Dependent Gaussian Mechanisms. - Carmen M. Constantin, Nuiok Dicaire, Chris Heunen:
Localisable Monads. - Mateusz Gniewkowski, Henryk Maciejewski, Tomasz R. Surmacz, Wiktor Walentynowicz:
HTTP2vec: Embedding of HTTP Requests for Detection of Anomalous Traffic. - Cécile Logé, Emily Ross, David Yaw Amoah Dadey, Saahil Jain, Adriel Saporta, Andrew Y. Ng, Pranav Rajpurkar:
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management. - Xihui Xie:
On Adaptive Grad-Div Parameter Selection. - Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick:
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. - Kevin M. Smith, Margaret P. Chapman:
On Exponential Utility and Conditional Value-at-Risk as Risk-Averse Performance Criteria. - Victor G. Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci:
Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. - Hongyu He:
How Can Datacenters Join the Smart Grid to Address the Climate Crisis? Using simulation to explore power and cost effects of direct participation in the energy market. - Lingchuan Meng:
Armour: Generalizable Compact Self-Attention for Vision Transformers. - Maurice H. ter Beek, Guillermina Cledou, Rolf Hennicker, José Proença:
Featured Team Automata. - Chen-Lin Zhang, Yin Li, Jianxin Wu:
Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection. - Dorina Weichert, Felix Horchler, Alexander Kister, Marcus Trost, Johannes Hartung, Stefan Risse:
Monte Carlo Tree Search for high precision manufacturing. - Wenrui Zhang, Peng Li:
Composing Recurrent Spiking Neural Networks using Locally-Recurrent Motifs and Risk-Mitigating Architectural Optimization. - Paarth Shah, Avadesh Meduri, Wolfgang Merkt, Majid Khadiv, Ioannis Havoutis, Ludovic Righetti:
Rapid Convex Optimization of Centroidal Dynamics using Block Coordinate Descent. - Quanze Chen, Daniel S. Weld, Amy X. Zhang:
Goldilocks: Consistent Crowdsourced Scalar Annotations with Relative Uncertainty. - Zhouyu Lu, Zhichao Liu, Konstantinos Karydis:
Deformation Recovery Control and Post-Impact Trajectory Replanning for Collision-Resilient Mobile Robots. - Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri:
Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses. - Hong-Wing Pang, Yingshu Chen, Binh-Son Hua, Sai-Kit Yeung:
Neural Scene Decoration from a Single Photograph. - Liyuan Zhang, Yuhang Zhou, Lei Zhang:
On the Robustness of Domain Adaption to Adversarial Attacks. - Boi M. Quach, Dinh V. Cuong, Nhung Pham, Dang Huynh, Binh T. Nguyen:
An Effective Leaf Recognition Using Convolutional Neural Networks Based Features. - Chengpei Xu, Wenjing Jia, Tingcheng Cui, Ruomei Wang, Yuanfang Zhang, Xiangjian He:
What's Wrong with the Bottom-up Methods in Arbitrary-shape Scene Text Detection. - Jason Van Hulse, Joshua S. Friedman:
Deep Learning Chromatic and Clique Numbers of Graphs. - Seongmin Park, Dongchan Shin, Sangyoun Paik, Subong Choi, Alena Kazakova, Jihwa Lee:
Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation. - Takao Miki, Shinji Nishiwaki:
Topology optimization of the support structure for heat dissipation in additive manufacturing. - Zhen Han, Xiangteng He, Mingqian Tang, Yiliang Lv:
Video Similarity and Alignment Learning on Partial Video Copy Detection. - Shuhong Chen, Matthias Zwicker:
Transfer Learning for Pose Estimation of Illustrated Characters. - Yurui Ren, Yubo Wu, Thomas H. Li, Shan Liu, Ge Li:
Combining Attention with Flow for Person Image Synthesis. - Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia P. Sycara, Michael Lewis, Julie Shah:
Emergent Discrete Communication in Semantic Spaces. - Xudong Dai, Cheng Gong, Longbiao Wang, Kaili Zhang:
Information Sieve: Content Leakage Reduction in End-to-End Prosody For Expressive Speech Synthesis. - Jiechuan Jiang, Zongqing Lu:
Offline Decentralized Multi-Agent Reinforcement Learning. - Jed Brown, Yunhui He, Scott P. MacLachlan:
Local Fourier analysis of Balancing Domain Decomposition by Constraints algorithms. - Xiaopeng Yu, Jiechuan Jiang, Haobin Jiang, Zongqing Lu:
Model-Based Opponent Modeling. - Yuping Luo, Tengyu Ma:
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations. - Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov:
Controlled Text Generation as Continuous Optimization with Multiple Constraints. - Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian Charles Williams:
Risk Conditioned Neural Motion Planning. - Sharif Amit Kamran, Shamik Sengupta, Alireza Tavakkoli:
Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective. - Ibrahim Alshubaily:
Efficient Neural Architecture Search with Performance Prediction. - Vivek Srivastava, Mayank Singh:
Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text. - Zhe Wang, Claude Guet:
Reconstructing a dynamical system and forecasting time series by self-consistent deep learning. - Chi-Wei Hsiao, Cheng Sun, Hwann-Tzong Chen, Min Sun:
Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation. - Kai Arulkumaran, Dan Ogawa Lillrank:
A Pragmatic Look at Deep Imitation Learning. - Even Klemsdal, Sverre Herland, Abdulmajid Murad:
Learning Task Agnostic Skills with Data-driven Guidance. - Jie Zhu, Ivana Tasic, Xiaobo Qu:
Improving Freeway Merging Efficiency via Flow-Level Coordination of Connected and Autonomous Vehicles. - Shahbaz Syed, Tariq Yousef, Khalid Al Khatib, Stefan Jänicke, Martin Potthast:
Summary Explorer: Visualizing the State of the Art in Text Summarization. - Ximeng Li, Qianying Zhang, Guohui Wang, Zhiping Shi, Yong Guan:
Reasoning about Iteration and Recursion Uniformly based on Big-step Semantics. - Felix Stache, Jonas Westheider, Federico Magistri, Marija Popovic, Cyrill Stachniss:
Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation. - Longyu Zhou, Supeng Leng, Qiang Liu, Haoye Chai, Jihua Zhou:
Intelligent Sensing Scheduling for Mobile Target Tracking Wireless Sensor Networks. - Machel Reid, Mikel Artetxe:
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. - Miki Tanaka, Sayaka Shiota, Hitoshi Kiya:
A universal detector of CNN-generated images using properties of checkerboard artifacts in the frequency domain. - Tauseef Gulrez, Warren Mansell:
High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training. - Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen:
Generic Neural Architecture Search via Regression. - Quan Hoang Nguyen, Andre Cronje, Michael Kong, Egor Lysenko, Alex Guzev:
Lachesis: Scalable Asynchronous BFT on DAG Streams.