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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 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. - Suofei Zhang, Zirui Yin, Xiaofu Wu, Kun Wang, Quan Zhou, Bin Kang:
FPB: Feature Pyramid Branch for Person Re-Identification. - Joo Hun Yoo, Ha Min Son, Hyejun Jeong, Eun-Hye Jang, Ah-Young Kim, Han-Young Yu, Hong Jin Jeon, Tai-Myoung Chung:
Personalized Federated Learning with Clustering: Non-IID Heart Rate Variability Data Application. - Roberto Piersanti, Francesco Regazzoni, Matteo Salvador, Antonio F. Corno, Luca Dedè, Christian Vergara, Alfio Quarteroni:
3D-0D closed-loop model for the simulation of cardiac biventricular electromechanics. - Chuchu Chen, Tonghe Dang, Jialin Hong:
An adaptive time-stepping full discretization for stochastic Allen-Cahn equation. - Hao Ouyang, Tengfei Wang, Qifeng Chen:
Internal Video Inpainting by Implicit Long-range Propagation. - Josep Domingo-Ferrer, Alberto Blanco-Justicia, Jesús A. Manjón, David Sánchez:
Secure and Privacy-Preserving Federated Learning via Co-Utility. - Hao Liu, Xue-Cheng Tai, Roland Glowinski:
An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications in Surface Smoothing and Imaging. - Bidyarthi Dutta:
An analytical study of content and contexts of keywords on physics. - Xijun Wang, Minghao Fang, Chao Xu, Howard H. Yang, Xinghua Sun, Xiang Chen, Tony Q. S. Quek:
When to Preprocess? Keeping Information Fresh for Computing Enable Internet of Things. - Ibrahim Alshubaily:
TextCNN with Attention for Text Classification. - Zhaokang Wang, Junhong Li, Yifan Qi, Guanghui Zhu, Chunfeng Yuan, Yihua Huang:
UniGPS: A Unified Programming Framework for Distributed Graph Processing. - William Seymour, Max Van Kleek:
Exploring Interactions Between Trust, Anthropomorphism, and Relationship Development in Voice Assistants. - Leonard Adolphs, Shehzaad Dhuliawala, Thomas Hofmann:
How to Query Language Models? - Moshe Eliasof, Eldad Haber, Eran Treister:
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations. - Jonathan Carlton, Andy Brown, Caroline Jay, John Keane:
Using Interaction Data to Predict Engagement with Interactive Media. - Georg Nawratil:
On origami-like quasi-mechanisms with an antiprismatic skeleton. - Van-Hoang Le, Hongyu Zhang:
Log-based Anomaly Detection Without Log Parsing. - Qiang Meng, Chixiang Zhang, Xiaoqiang Xu, Feng Zhou:
Learning Compatible Embeddings. - Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot:
Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning. - Leonid Barenboim, Tzalik Maimon:
Deterministic Logarithmic Completeness in the Distributed Sleeping Model. - Xian Zhan, Tianming Liu, Yepang Liu, Yang Liu, Li Li, Haoyu Wang, Xiapu Luo:
A Systematic Assessment on Android Third-party Library Detection Tools. - Ahmed Al-Saffar, Lei Guo, Amin M. Abbosh:
Graph Attention Network For Microwave Imaging of Brain Anomaly. - Chen Zhang, Runmin Cong, Qinwei Lin, Lin Ma, Feng Li, Yao Zhao, Sam Kwong:
Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection. - Siqi Wang, Guang Yu, Zhiping Cai, En Zhu, Xinwang Liu, Jianping Yin, Chengzhang Zhu:
Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos. - Nils Kürbis:
A Binary Quantifier for Definite Descriptions in Intuitionist Negative Free Logic: Natural Deduction and Normalisation. - Nils Kürbis:
Two Treatments of Definite Descriptions in Intuitionist Negative Free Logic. - Nils Kürbis:
Definite Descriptions in Intuitionist Positive Free Logic. - Mohammad Rahmani Fadiheh, Alex Wezel, Johannes Müller, Jörg Bormann, Sayak Ray, Jason M. Fung, Subhasish Mitra, Dominik Stoffel, Wolfgang Kunz:
An Exhaustive Approach to Detecting Transient Execution Side Channels in RTL Designs of Processors. - Jiaojiao Fang, Guizhong Liu:
Self-Supervised Learning of Depth and Ego-Motion from Video by Alternative Training and Geometric Constraints from 3D to 2D. - Marc Herrmann, Jil Klünder:
From Textual to Verbal Communication: Towards Applying Sentiment Analysis to a Software Project Meeting. - Grzegorz Pierczynski, Piotr Skowron:
Core-Stable Committees under Restricted Domains. - André F. T. Martins, Marcos V. Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae:
Sparse Continuous Distributions and Fenchel-Young Losses. - Paul Bastide, Pierre Fraigniaud:
On Extending Brandt's Speedup Theorem from LOCAL to Round-Based Full-Information Models. - Júlia Cária de Freitas, Puca Huachi Vaz Penna, Túlio A. M. Toffolo:
Exact and Heuristic Approaches to Drone Delivery Problems. - K. Ritsuka, Karen Rudie:
Do What You Know: Coupling Knowledge with Action in Discrete-Event Systems. - Vikash Kumar:
Deep Neural Network Approach to Estimate Early Worst-Case Execution Time. - Maxime Volery, Xinxin Guo, Hervé Lissek:
Robust direct acoustic impedance control using two microphones for mixed feedforward-feedback controller. - Ali Tavasoli, Teague Henry, Heman Shakeri:
A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model. - José Paredes, Juan Carlos Teze, Gerardo I. Simari, Maria Vanina Martinez:
On the Importance of Domain-specific Explanations in AI-based Cybersecurity Systems (Technical Report). - Cyril Nguyen Van Phu, Nadir Farhi:
Estimation of road traffic state at a multi-lanes controlled junction. - Pai Chet Ng, Petros Spachos, Stefano Gregori, Konstantinos N. Plataniotis:
Personal Devices for Contact Tracing: Smartphones and Wearables to Fight Covid-19. - Adelin Travers, Lorna Licollari, Guanghan Wang, Varun Chandrasekaran, Adam Dziedzic, David Lie, Nicolas Papernot:
On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples. - Jean-Marc Kelif, Dinh-Thuy Phan-Huy:
Backscatter Communication System With Dumb Diffusing Surface. - Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy:
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. - Amit Singh, Cem Bassoy:
High-Performance Level-1 and Level-2 BLAS. - Huaiyang Huang, Haoyang Ye, Yuxiang Sun, Lujia Wang, Ming Liu:
Incorporating Learnt Local and Global Embeddings into Monocular Visual SLAM. - Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh:
Signature Verification using Geometrical Features and Artificial Neural Network Classifier. - Cosmin Octavian Pene, Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen:
Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators. - Adrian Korban, Serap Sahinkaya, Deniz Ustun:
Reversible Gk-Codes with Applications to DNA Codes. - Sangeeta Ghangam, Daniel Whitenack, Joshua Nemecek:
Dyn-ASR: Compact, Multilingual Speech Recognition via Spoken Language and Accent Identification. - Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Juanzi Li, Maosong Sun:
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification. - Martin Ferus, Vitalii G. Kurbatov, Irina V. Kurbatova:
An estimate of approximation of an analytic function of a matrix by a rational function. - Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally:
The MIT Supercloud Dataset. - Gabin Maxime Nguegnang, Holger Rauhut, Ulrich Terstiege:
Convergence of gradient descent for learning linear neural networks. - Haris Angelidakis, Dylan Hyatt-Denesik, Laura Sanità:
Node Connectivity Augmentation via Iterative Randomized Rounding. - Tamás Dózsa, Ferenc Schipp:
A generalization of the root function. - Amirreza Bagheri, Péter Hegedüs:
A Comparison of Different Source Code Representation Methods for Vulnerability Prediction in Python. - Anwen Hu, Shizhe Chen, Qin Jin:
ICECAP: Information Concentrated Entity-aware Image Captioning. - Mahsa Pourbafrani, Shuai Jiao, Wil M. P. van der Aalst:
SIMPT: Process Improvement Using Interactive Simulation of Time-aware Process Trees. - D. E. Demidov:
Partial Reuse AMG Setup Cost Amortization Strategy for the Solution of Non-Steady State Problems. - David Krieg, Erich Novak, Mathias Sonnleitner:
Recovery of Sobolev functions restricted to iid sampling. - Anwen Hu, Shizhe Chen, Qin Jin:
Question-controlled Text-aware Image Captioning. - Mohammadreza Esmali Nojehdeh, Sajjad Parvin, Mustafa Altun:
Efficient Hardware Realizations of Feedforward Artificial Neural Networks.