| 2021 | 'Less Than One'-Shot Learning: Learning N Classes From M < N Samples. Ilia Sucholutsky, Matthias Schonlau |
| 2021 | (Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi |
| 2021 | *-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task. Dmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael Schärli |
| 2021 | 5* Knowledge Graph Embeddings with Projective Transformations. Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann |
| 2021 | A Bayesian Approach for Subset Selection in Contextual Bandits. Jialian Li, Chao Du, Jun Zhu |
| 2021 | A Bidirectional Multi-paragraph Reading Model for Zero-shot Entity Linking. Hongyin Tang, Xingwu Sun, Beihong Jin, Fuzheng Zhang |
| 2021 | A Blind Block Term Decomposition of High Order Tensors. Yunfeng Cai, Ping Li |
| 2021 | A Bottom-Up DAG Structure Extraction Model for Math Word Problems. Yixuan Cao, Feng Hong, Hongwei Li, Ping Luo |
| 2021 | A Case Study of the Shortcut Effects in Visual Commonsense Reasoning. Keren Ye, Adriana Kovashka |
| 2021 | A Complexity-theoretic Analysis of Green Pickup-and-Delivery Problems. Xing Tan, Jimmy Xiangji Huang |
| 2021 | A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices. Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang |
| 2021 | A Computational Approach to Sign Language Understanding. Tejaswini Ananthanarayana |
| 2021 | A Context Aware Approach for Generating Natural Language Attacks. Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi |
| 2021 | A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation. Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake |
| 2021 | A Controllable Model of Grounded Response Generation. Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan |
| 2021 | A Data-Driven Approach for Gin Rummy Hand Evaluation. Sang T. Truong, Todd W. Neller |
| 2021 | A Deep Learning Framework for Improving Lameness Identification in Dairy Cattle. Yasmine Karoui, Amanda A. Boatswain Jacques, Abdoulaye Baniré Diallo, Elise Shepley, Elsa Vasseur |
| 2021 | A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue |
| 2021 | A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization. Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N. Balasubramanian |
| 2021 | A Deterministic Neural Network Approach to Playing Gin Rummy. Viet Dung Nguyen, Dung Doan, Todd W. Neller |
| 2021 | A Double Phases Generation Network for Yes or No Question Generation (Student Abstract). Jiayuan Xie, Feng Chen, Yi Cai, Zehang Lin |
| 2021 | A Fast Exact Algorithm for the Resource Constrained Shortest Path Problem. Saman Ahmadi, Guido Tack, Daniel Damir Harabor, Philip Kilby |
| 2021 | A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching. Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris |
| 2021 | A Flexible Framework for Communication-Efficient Machine Learning. Sarit Khirirat, Sindri Magnússon, Arda Aytekin, Mikael Johansson |
| 2021 | A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data. Xianfeng Li, Weijie Chen, Di Xie, Shicai Yang, Peng Yuan, Shiliang Pu, Yueting Zhuang |
| 2021 | A General Class of Transfer Learning Regression without Implementation Cost. Shunya Minami, Song Liu, Stephen Wu, Kenji Fukumizu, Ryo Yoshida |
| 2021 | A General Offline Reinforcement Learning Framework for Interactive Recommendation. Teng Xiao, Donglin Wang |
| 2021 | A General Setting for Gradual Semantics Dealing with Similarity. Leila Amgoud, Victor David |
| 2021 | A Generative Adversarial Framework for Bounding Confounded Causal Effects. Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu |
| 2021 | A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry. Yao Lu, Xiaoli Xu, Mingyu Ding, Zhiwu Lu, Tao Xiang |
| 2021 | A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training. Yongkang Liu, Shi Feng, Daling Wang, Kaisong Song, Feiliang Ren, Yifei Zhang |
| 2021 | A Graph-based Relevance Matching Model for Ad-hoc Retrieval. Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang |
| 2021 | A Health-friendly Speaker Verification System Supporting Mask Wearing. Chaotao Chen, Di Jiang, Jinhua Peng, Rongzhong Lian, Chen Jason Zhang, Qian Xu, Lixin Fan, Qiang Yang |
| 2021 | A Heuristic Evaluation Function for Hand Strength Estimation in Gin Rummy. Aqib Ahmed, Joshua Leppo, Michal Lesniewski, Riken Patel, Jonathan Pérez, Jeremy Blum |
| 2021 | A Hierarchical Approach to Multi-Event Survival Analysis. Donna Tjandra, Yifei He, Jenna Wiens |
| 2021 | A Highly-Parameterized Ensemble to Play Gin Rummy. Masayuki Nagai, Kavya Shrivastava, Kien Ta, Steven Bogaerts, Chad Byers |
| 2021 | A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization. Ashraful Islam, Chengjiang Long, Richard J. Radke |
| 2021 | A Hybrid Bandit Framework for Diversified Recommendation. Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang |
| 2021 | A Hybrid Probabilistic Approach for Table Understanding. Kexuan Sun, Harsha Rayudu, Jay Pujara |
| 2021 | A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method. Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian |
| 2021 | A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis. Yue Mao, Yi Shen, Chao Yu, Longjun Cai |
| 2021 | A Lightweight Neural Model for Biomedical Entity Linking. Lihu Chen, Gaël Varoquaux, Fabian M. Suchanek |
| 2021 | A Market-Inspired Bidding Scheme for Peer Review Paper Assignment. Reshef Meir, Jérôme Lang, Julien Lesca, Nicholas Mattei, Natan Kaminsky |
| 2021 | A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract). Navid Nobani, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica |
| 2021 | A Model of Winners Allocation. Yongjie Yang |
| 2021 | A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting. Chia-Yuan Chang, Cheng-Wei Lu, Chuan-Ju Wang |
| 2021 | A Multivariate Complexity Analysis of the Material Consumption Scheduling Problem. Matthias Bentert, Robert Bredereck, Péter Györgyi, Andrzej Kaczmarczyk, Rolf Niedermeier |
| 2021 | A Nested Named Entity Recognition Model Based on Multi-agent Communication Mechanism (Student Abstract). Canguang Li, Guohua Wang, Jin Cao, Yi Cai |
| 2021 | A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness. Deyu Zhou, Meng Zhang, Linhai Zhang, Yulan He |
| 2021 | A New Bounding Scheme for Influence Diagrams. Radu Marinescu, Junkyu Lee, Rina Dechter |
| 2021 | A New Robust Subspace Recovery Algorithm (Student Abstract). Guihong Wan, Haim Schweitzer |
| 2021 | A Novel AI-based Methodology for Identifying Cyber Attacks in Honey Pots. Muhammed AbuOdeh, Christian Adkins, Omid Setayeshfar, Prashant Doshi, Kyu Hyung Lee |
| 2021 | A Novel Mountain Driving Unity Simulated Environment for Autonomous Vehicles. Xiaohu Li, Zehong Cao, Quan Bai |
| 2021 | A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation. Qing-Long Zhang, Lu Rao, Yubin Yang |
| 2021 | A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences. Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III |
| 2021 | A One-Size-Fits-All Solution to Conservative Bandit Problems. Yihan Du, Siwei Wang, Longbo Huang |
| 2021 | A Permutation-Equivariant Neural Network Architecture For Auction Design. Jad Rahme, Samy Jelassi, Joan Bruna, S. Matthew Weinberg |
| 2021 | A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments. Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, Xinshang Wang, Anxiang Zeng |
| 2021 | A Quantum-inspired Complex-valued Representation for Encoding Sentiment Information (Student Abstract). Guangcheng Liu, Yuexian Hou, Shikai Song |
| 2021 | A Recipe for Global Convergence Guarantee in Deep Neural Networks. Kenji Kawaguchi, Qingyun Sun |
| 2021 | A Reciprocal Embedding Framework For Modelling Mutual Preferences. R. Ramanathan, Nicolas K. Shinada, Michinobu Shimatani, Yuhei Yamaguchi, Junichi Tanaka, Yuta Iizuka, Sucheendra K. Palaniappan |
| 2021 | A SAT-based Resolution of Lam's Problem. Curtis Bright, Kevin K. H. Cheung, Brett Stevens, Ilias S. Kotsireas, Vijay Ganesh |
| 2021 | A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints. Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo |
| 2021 | A Scalable Reasoning and Learning Approach for Neural-Symbolic Stream Fusion. Danh Le Phuoc, Thomas Eiter, Anh Lê Tuán |
| 2021 | A Scalable Two Stage Approach to Computing Optimal Decision Sets. Alexey Ignatiev, Edward Lam, Peter J. Stuckey, João Marques-Silva |
| 2021 | A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray |
| 2021 | A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract). Anshul Ahuja, Geetesh Gupta, Suman Kundu |
| 2021 | A Sharp Leap from Quantified Boolean Formula to Stochastic Boolean Satisfiability Solving. Pei-Wei Chen, Yu-Ching Huang, Jie-Hong R. Jiang |
| 2021 | A Simple Framework for Cognitive Planning. Jorge Luis Fernandez Davila, Dominique Longin, Emiliano Lorini, Frédéric Maris |
| 2021 | A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy |
| 2021 | A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis. Ying Zhang, Yifang Yin, Zhenguang Liu, Roger Zimmermann |
| 2021 | A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting. Kun Qian, Wei Wei, Zhou Yu |
| 2021 | A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition. Yongxiu Xu, Heyan Huang, Chong Feng, Yue Hu |
| 2021 | A Systematic Evaluation of Object Detection Networks for Scientific Plots. Pritha Ganguly, Nitesh S. Methani, Mitesh M. Khapra, Pratyush Kumar |
| 2021 | A Theoretical Analysis of the Repetition Problem in Text Generation. Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi |
| 2021 | A Theory of Independent Mechanisms for Extrapolation in Generative Models. Michel Besserve, Rémy Sun, Dominik Janzing, Bernhard Schölkopf |
| 2021 | A Trace-restricted Kronecker-Factored Approximation to Natural Gradient. Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu |
| 2021 | A Unified Framework for Planning with Learned Neural Network Transition Models. Buser Say |
| 2021 | A Unified Multi-Scenario Attacking Network for Visual Object Tracking. Xuesong Chen, Canmiao Fu, Feng Zheng, Yong Zhao, Hongsheng Li, Ping Luo, Guo-Jun Qi |
| 2021 | A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations. Tianyang Zhao, Zhao Yan, Yunbo Cao, Zhoujun Li |
| 2021 | A Unified Pretraining Framework for Passage Ranking and Expansion. Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang |
| 2021 | A Unified Taylor Framework for Revisiting Attribution Methods. Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu |
| 2021 | A Universal 2-state n-action Adaptive Management Solver. Luz Valerie Pascal, Marianne Akian, Samuel Nicol, Iadine Chades |
| 2021 | A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang |
| 2021 | ACAT-G: An Interactive Learning Framework for Assisted Response Generation. Xueyuan Lu, Saurav Sahay, Zhou Yu, Lama Nachman |
| 2021 | ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization. Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li |
| 2021 | ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization. Ziyi Liu, Le Wang, Qilin Zhang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua |
| 2021 | ACT: an Attentive Convolutional Transformer for Efficient Text Classification. Pengfei Li, Peixiang Zhong, Kezhi Mao, Dongzhe Wang, Xuefeng Yang, Yunfeng Liu, Jianxiong Yin, Simon See |
| 2021 | ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning. Zhewei Yao, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, Michael W. Mahoney |
| 2021 | AI for Social Good: Between My Research and the Real World. Zheyuan Ryan Shi |
| 2021 | AI-Assisted Scientific Data Collection with Iterative Human Feedback. Travis Mandel, James Boyd, Sebastian J. Carter, Randall H. Tanaka, Taishi Nammoto |
| 2021 | AI-Empowered Decision Support for COVID-19 Social Distancing. Hongchao Jiang, Wei Yang Bryan Lim, Jer Shyuan Ng, Harold Ze Chie Teng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao |
| 2021 | AI-Infused Collaborative Inquiry in Upper Elementary School: A Game-Based Learning Approach. Seung Y. Lee, Bradford W. Mott, Anne T. Ottenbreit-Leftwich, J. Adam Scribner, Sandra Taylor, Kyungjin Park, Jonathan P. Rowe, Krista D. Glazewski, Cindy E. Hmelo-Silver, James C. Lester |
| 2021 | ALP-KD: Attention-Based Layer Projection for Knowledge Distillation. Peyman Passban, Yimeng Wu, Mehdi Rezagholizadeh, Qun Liu |
| 2021 | ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion. Daoming Zong, Shiliang Sun, Jing Zhao |
| 2021 | Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention. Hongyu Gong, Alberto Valido, Katherine M. Ingram, Giulia Fanti, Suma Bhat, Dorothy L. Espelage |
| 2021 | Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality. Guihong Wan, Haim Schweitzer |
| 2021 | Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization. Han-Hsien Huang, Mi-Yen Yeh |
| 2021 | Accelerating Data Discovery with an Ontology-driven Tool for an Enterprise-scale Data Lake Environment. Satyajeet Raje, Karina Kervin, Nergal Issaie, Madhu Channapatna |
| 2021 | Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing. Johan Bjorck, Brendan H. Rappazzo, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla P. Gomes |
| 2021 | Accelerating Neural Machine Translation with Partial Word Embedding Compression. Fan Zhang, Mei Tu, Jinyao Yan |
| 2021 | Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans. Rohun Kshirsagar, Li-Yen Hsu, Charles H. Greenberg, Matthew McClelland, Anushadevi Mohan, Wideet Shende, Nicolas P. Tilmans, Min Guo, Ankit Chheda, Meredith Trotter, Shonket Ray, Miguel Alvarado |
| 2021 | Accurate and Robust Feature Importance Estimation under Distribution Shifts. Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias |
| 2021 | Achieving Envy-freeness and Equitability with Monetary Transfers. Haris Aziz |
| 2021 | Achieving Proportionality up to the Maximin Item with Indivisible Goods. Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin |
| 2021 | Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks. Haobo Jiang, Jin Xie, Jian Yang |
| 2021 | ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces. Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner, Ruby B. Lee, Jindong Chen |
| 2021 | Active Bayesian Assessment of Black-Box Classifiers. Disi Ji, Robert L. Logan IV, Padhraic Smyth, Mark Steyvers |
| 2021 | Active Feature Selection for the Mutual Information Criterion. Shachar Schnapp, Sivan Sabato |
| 2021 | Activity Image-to-Video Retrieval by Disentangling Appearance and Motion. Liu Liu, Jiangtong Li, Li Niu, Ruicong Xu, Liqing Zhang |
| 2021 | Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation. Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang |
| 2021 | Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback. Siwei Wang, Haoyun Wang, Longbo Huang |
| 2021 | Adaptive Beam Search Decoding for Discrete Keyphrase Generation. Xiaoli Huang, Tongge Xu, Lvan Jiao, Yueran Zu, Youmin Zhang |
| 2021 | Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities. Alina Ene, Huy L. Nguyen, Adrian Vladu |
| 2021 | Adaptive Knowledge Driven Regularization for Deep Neural Networks. Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang |
| 2021 | Adaptive Pattern-Parameter Matching for Robust Pedestrian Detection. Mengyin Liu, Chao Zhu, Jun Wang, Xu-Cheng Yin |
| 2021 | Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation. Wei Cheng, Ziyan Luo, Qiyue Yin |
| 2021 | Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners. Zhe Xu, Yuxin Chen, Ufuk Topcu |
| 2021 | Adaptive Verifiable Training Using Pairwise Class Similarity. Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian M. Molloy |
| 2021 | Addressing Action Oscillations through Learning Policy Inertia. Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng |
| 2021 | Addressing Class Imbalance in Federated Learning. Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu |
| 2021 | Addressing Domain Gap via Content Invariant Representation for Semantic Segmentation. Li Gao, Lefei Zhang, Qian Zhang |
| 2021 | AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment. Rei Sato, Jun Sakuma, Youhei Akimoto |
| 2021 | Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles. Bo Huang, Zhiwei Ke, Yi Wang, Wei Wang, Linlin Shen, Feng Liu |
| 2021 | Adversarial Directed Graph Embedding. Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He |
| 2021 | Adversarial Language Games for Advanced Natural Language Intelligence. Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Kai Zhang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun |
| 2021 | Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao |
| 2021 | Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin |
| 2021 | Adversarial Partial Multi-Label Learning with Label Disambiguation. Yan Yan, Yuhong Guo |
| 2021 | Adversarial Permutation Guided Node Representations for Link Prediction. Indradyumna Roy, Abir De, Soumen Chakrabarti |
| 2021 | Adversarial Pose Regression Network for Pose-Invariant Face Recognitions. Pengyu Li, Biao Wang, Lei Zhang |
| 2021 | Adversarial Robustness through Disentangled Representations. Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu |
| 2021 | Adversarial Training Reduces Information and Improves Transferability. Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto |
| 2021 | Adversarial Training and Provable Robustness: A Tale of Two Objectives. Jiameng Fan, Wenchao Li |
| 2021 | Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks. Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He |
| 2021 | Adversarial Turing Patterns from Cellular Automata. Nurislam Tursynbek, Ilya Vilkoviskiy, Maria Sindeeva, Ivan V. Oseledets |
| 2021 | Advice-Guided Reinforcement Learning in a non-Markovian Environment. Daniel Neider, Jean-Raphaël Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu |
| 2021 | Affect-Aware Machine Learning Models for Deception Detection. Leena Mathur |
| 2021 | Agent Incentives: A Causal Perspective. Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg |
| 2021 | Aggregated Multi-GANs for Controlled 3D Human Motion Prediction. Zhenguang Liu, Kedi Lyu, Shuang Wu, Haipeng Chen, Yanbin Hao, Shouling Ji |
| 2021 | Aggregating Binary Judgments Ranked by Accuracy. Daniel Halpern, Gregory Kehne, Dominik Peters, Ariel D. Procaccia, Nisarg Shah, Piotr Skowron |
| 2021 | Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment. Mengying Fu, Tianning Yuan, Fang Wan, Songcen Xu, Qixiang Ye |
| 2021 | Algebra of Modular Systems: Containment and Equivalence. Andrei Bulatov, Eugenia Ternovska |
| 2021 | Aligning Artificial Neural Networks and Ontologies towards Explainable AI. Manuel de Sousa Ribeiro, João Leite |
| 2021 | Almost Envy-freeness, Envy-rank, and Nash Social Welfare Matchings. Alireza Farhadi, Mohammad Taghi Hajiaghayi, Mohamad Latifian, Masoud Seddighin, Hadi Yami |
| 2021 | Almost Linear Time Density Level Set Estimation via DBSCAN. Hossein Esfandiari, Vahab S. Mirrokni, Peilin Zhong |
| 2021 | Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective. Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng |
| 2021 | Amata: An Annealing Mechanism for Adversarial Training Acceleration. Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu |
| 2021 | Amnesiac Machine Learning. Laura Graves, Vineel Nagisetty, Vijay Ganesh |
| 2021 | Amodal Segmentation Based on Visible Region Segmentation and Shape Prior. Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, Shenghua Gao |
| 2021 | An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis. Yan Zhou, Fuqing Zhu, Pu Song, Jizhong Han, Tao Guo, Songlin Hu |
| 2021 | An Analysis of Approval-Based Committee Rules for 2D-Euclidean Elections. Michal Tomasz Godziszewski, Pawel Batko, Piotr Skowron, Piotr Faliszewski |
| 2021 | An Attention Based Multi-view Model for Sarcasm Cause Detection (Student Abstract). Hejing Liu, Qiudan Li, Zaichuan Tang, Jie Bai |
| 2021 | An Automated Engineering Assistant: Learning Parsers for Technical Drawings. Dries Van Daele, Nicholas Decleyre, Herman Dubois, Wannes Meert |
| 2021 | An Efficient Algorithm for Deep Stochastic Contextual Bandits. Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi |
| 2021 | An Efficient Transformer Decoder with Compressed Sub-layers. Yanyang Li, Ye Lin, Tong Xiao, Jingbo Zhu |
| 2021 | An End-to-End Solution for Named Entity Recognition in eCommerce Search. Xiang Cheng, Mitchell Bowden, Bhushan Ramesh Bhange, Priyanka Goyal, Thomas Packer, Faizan Javed |
| 2021 | An Enhanced Advising Model in Teacher-Student Framework using State Categorization. Daksh Anand, Vaibhav Gupta, Praveen Paruchuri, Balaraman Ravindran |
| 2021 | An Entity-Aware Adversarial Domain Adaptation Network for Cross-Domain Named Entity Recognition (Student Abstract). Qi Peng, Changmeng Zheng, Yi Cai, Tao Wang, Haoran Xie, Qing Li |
| 2021 | An Improved Upper Bound for SAT. Huairui Chu, Mingyu Xiao, Zhe Zhang |
| 2021 | An Information-Theoretic Framework for Unifying Active Learning Problems. Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet |
| 2021 | An Intelligent Assistant for Problem Behavior Management. Penghe Chen, Yu Lu, Jiefei Liu, Qi Xu |
| 2021 | An LP-Based Approach for Goal Recognition as Planning. Luísa R. de A. Santos, Felipe Meneguzzi, Ramon Fraga Pereira, André Grahl Pereira |
| 2021 | An Unfair Affinity Toward Fairness: Characterizing 70 Years of Social Biases in BHollywood (Student Abstract). Kunal Khadilkar, Ashiqur R. KhudaBukhsh |
| 2021 | An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information. Zejun Li, Zhongyu Wei, Zhihao Fan, Haijun Shan, Xuanjing Huang |
| 2021 | Analogical Image Translation for Fog Generation. Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Danda Pani Paudel, Luc Van Gool |
| 2021 | Analogy Training Multilingual Encoders. Nicolas Garneau, Mareike Hartmann, Anders Sandholm, Sebastian Ruder, Ivan Vulic, Anders Søgaard |
| 2021 | Analysing the Noise Model Error for Realistic Noisy Label Data. Michael A. Hedderich, Dawei Zhu, Dietrich Klakow |
| 2021 | Analyzing Games with a Variable Number of Players. Madelyn Gatchel |
| 2021 | AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses. Zixuan Xu, Banghuai Li, Ye Yuan, Miao Geng |
| 2021 | Anomaly Attribution with Likelihood Compensation. Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe |
| 2021 | Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. Bhushan Kotnis, Carolin Lawrence, Mathias Niepert |
| 2021 | Answering Regular Path Queries Under Approximate Semantics in Lightweight Description Logics. Oliver Fernández Gil, Anni-Yasmin Turhan |
| 2021 | Anticipating Future Relations via Graph Growing for Action Prediction. Xinxiao Wu, Jianwei Zhao, Ruiqi Wang |
| 2021 | Any-Precision Deep Neural Networks. Haichao Yu, Haoxiang Li, Humphrey Shi, Thomas S. Huang, Gang Hua |
| 2021 | Anytime Heuristic and Monte Carlo Methods for Large-Scale Simultaneous Coalition Structure Generation and Assignment. Fredrik Präntare, Herman Appelgren, Fredrik Heintz |
| 2021 | Anytime Inference with Distilled Hierarchical Neural Ensembles. Adria Ruiz, Jakob Verbeek |
| 2021 | Apparently Irrational Choice as Optimal Sequential Decision Making. Haiyang Chen, Hyung Jin Chang, Andrew Howes |
| 2021 | Appearance-Motion Memory Consistency Network for Video Anomaly Detection. Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao |
| 2021 | Applied Machine Learning for Games: A Graduate School Course. Yilei Zeng, Aayush Shah, Jameson Thai, Michael Zyda |
| 2021 | Approximate Multiplication of Sparse Matrices with Limited Space. Yuanyu Wan, Lijun Zhang |
| 2021 | Arbitrary Video Style Transfer via Multi-Channel Correlation. Yingying Deng, Fan Tang, Weiming Dong, Haibin Huang, Chongyang Ma, Changsheng Xu |
| 2021 | Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks. Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang |
| 2021 | Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract). Rupak Sarkar, Ashiqur R. KhudaBukhsh |
| 2021 | Argument Mining Driven Analysis of Peer-Reviews. Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl |
| 2021 | Argumentation Frameworks with Strong and Weak Constraints: Semantics and Complexity. Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna |
| 2021 | Artificial Dummies for Urban Dataset Augmentation. Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic |
| 2021 | Artificial Intelligence and Machine Learning for Autonomous Agents that Learn to Plan and Operate in Unpredictable Dynamic Environments. Leonardo Lamanna |
| 2021 | Asking the Right Questions: Learning Interpretable Action Models Through Query Answering. Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava |
| 2021 | Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework. Huimin Chen, Yankai Lin, Fanchao Qi, Jinyi Hu, Peng Li, Jie Zhou, Maosong Sun |
| 2021 | Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees. Vyacheslav Kungurtsev, Malcolm Egan, Bapi Chatterjee, Dan Alistarh |
| 2021 | Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems. Lewis Liu, Kun Zhao |
| 2021 | Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing. Sheng Jin, Qin Zhou, Hongxun Yao, Yao Liu, Xian-Sheng Hua |
| 2021 | AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing. Qi Song, Kangfu Mei, Rui Huang |
| 2021 | Attention Beam: An Image Captioning Approach (Student Abstract). Anubhav Shrimal, Tanmoy Chakraborty |
| 2021 | Attention-based Multi-Level Fusion Network for Light Field Depth Estimation. Jiaxin Chen, Shuo Zhang, Youfang Lin |
| 2021 | Attentive Neural Point Processes for Event Forecasting. Yulong Gu |
| 2021 | AttnMove: History Enhanced Trajectory Recovery via Attentional Network. Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li |
| 2021 | Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes. Rajdeep H. Banerjee, Abhinav Ravi, Ujjal Kr Dutta |
| 2021 | Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang |
| 2021 | Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition. Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang |
| 2021 | Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention. Zhiqi Huang, Fenglin Liu, Xian Wu, Shen Ge, Helin Wang, Wei Fan, Yuexian Zou |
| 2021 | Audio-Visual Localization by Synthetic Acoustic Image Generation. Valentina Sanguineti, Pietro Morerio, Alessio Del Bue, Vittorio Murino |
| 2021 | AugSplicing: Synchronized Behavior Detection in Streaming Tensors. Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng |
| 2021 | Augmented Experiment in Material Engineering Using Machine Learning. Aomar Osmani, Massinissa Hamidi, Salah Bouhouche |
| 2021 | Augmented Partial Mutual Learning with Frame Masking for Video Captioning. Ke Lin, Zhuoxin Gan, Liwei Wang |
| 2021 | Augmenting Policy Learning with Routines Discovered from a Single Demonstration. Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum |
| 2021 | AuthNet: A Deep Learning Based Authentication Mechanism Using Temporal Facial Feature Movements (Student Abstract). Mohit Raghavendra, Pravan Omprakash, B. R. Mukesh |
| 2021 | Author Homepage Discovery in CiteSeerX. Krutarth Patel, Cornelia Caragea, Doina Caragea, C. Lee Giles |
| 2021 | Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning. Feng Lin, Haohang Xu, Houqiang Li, Hongkai Xiong, Guo-Jun Qi |
| 2021 | AutoDropout: Learning Dropout Patterns to Regularize Deep Networks. Hieu Pham, Quoc V. Le |
| 2021 | AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks. Youngmin Ro, Jin Young Choi |
| 2021 | AutoText: An End-to-End AutoAI Framework for Text. Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel N. Valente, Dakuo Wang, Alexandre V. Evfimievski, Sairam Gurajada, Ban Kawas, A. Cristiano I. Malossi, Lucian Popa, Tejaswini Pedapati, Horst Samulowitz, Martin Wistuba, Yunyao Li |
| 2021 | Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm. Saptarshi Chakraborty, Debolina Paul, Swagatam Das |
| 2021 | Automated Cross-prompt Scoring of Essay Traits. Robert Ridley, Liang He, Xin-Yu Dai, Shujian Huang, Jiajun Chen |
| 2021 | Automated Lay Language Summarization of Biomedical Scientific Reviews. Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen |
| 2021 | Automated Mechanism Design for Classification with Partial Verification. Hanrui Zhang, Yu Cheng, Vincent Conitzer |
| 2021 | Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans. Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding |
| 2021 | Automated Reasoning and Learning for Automated Payroll Management. Sebastijan Dumancic, Wannes Meert, Stijn Goethals, Tim Stuyckens, Jelle Huygen, Koen Denies |
| 2021 | Automated Storytelling via Causal, Commonsense Plot Ordering. Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl |
| 2021 | Automated Symbolic Law Discovery: A Computer Vision Approach. Hengrui Xing, Ansaf Salleb-Aouissi, Nakul Verma |
| 2021 | Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning. Yangyang Zhao, Zhenyu Wang, Zhenhua Huang |
| 2021 | Automatic Generation of Flexible Plans via Diverse Temporal Planning. Yotam Amitai, Ayal Taitler, Erez Karpas |
| 2021 | Automatic Optimal Multi-Agent Path Finding Algorithm Selector (Student Abstract). Jingyao Ren, Vikraman Sathiyanarayanan, Eric Ewing, Baskin Senbaslar, Nora Ayanian |
| 2021 | Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher |
| 2021 | BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search. Colin White, Willie Neiswanger, Yash Savani |
| 2021 | BERT & Family Eat Word Salad: Experiments with Text Understanding. Ashim Gupta, Giorgi Kvernadze, Vivek Srikumar |
| 2021 | BOSS: A Bi-directional Search Technique for Optimal Coalition Structure Generation with Minimal Overlapping (Student Abstract). Narayan Changder, Samir Aknine, Sarvapali D. Ramchurn, Animesh Dutta |
| 2021 | BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation. Haisheng Su, Weihao Gan, Wei Wu, Yu Qiao, Junjie Yan |
| 2021 | BT Expansion: a Sound and Complete Algorithm for Behavior Planning of Intelligent Robots with Behavior Trees. Zhongxuan Cai, Minglong Li, Wanrong Huang, Wenjing Yang |
| 2021 | Backdoor Decomposable Monotone Circuits and Propagation Complete Encodings. Petr Kucera, Petr Savický |
| 2021 | Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks. Yongshun Zhang, Xiu-Shen Wei, Boyan Zhou, Jianxin Wu |
| 2021 | Balanced Open Set Domain Adaptation via Centroid Alignment. Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang |
| 2021 | Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. Gabriele Farina, Robin Schmucker, Tuomas Sandholm |
| 2021 | Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions. Jake Tuero, Michael Buro |
| 2021 | Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example. Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah |
| 2021 | Bayesian Distributional Policy Gradients. Luchen Li, A. Aldo Faisal |
| 2021 | Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization. Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino |
| 2021 | Bayesian Optimized Monte Carlo Planning. John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer |
| 2021 | Bayesian Persuasion under Ex Ante and Ex Post Constraints. Yakov Babichenko, Inbal Talgam-Cohen, Konstantin Zabarnyi |
| 2021 | Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions. Yuhang Wu, Sunpreet S. Arora, Yanhong Wu, Hao Yang |
| 2021 | Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation. Ning Bian, Xianpei Han, Bo Chen, Le Sun |
| 2021 | Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback. Gianlorenzo D'Angelo, Debashmita Poddar, Cosimo Vinci |
| 2021 | Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng |
| 2021 | Beyond Low-frequency Information in Graph Convolutional Networks. Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen |
| 2021 | Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin |
| 2021 | Bias and Variance of Post-processing in Differential Privacy. Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto |
| 2021 | Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction. Shaowei Chen, Yu Wang, Jie Liu, Yuelin Wang |
| 2021 | Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park |
| 2021 | Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu |
| 2021 | Bike-Repositioning Using Volunteers: Crowd Sourcing with Choice Restriction. Jinjia Huang, Mabel C. Chou, Chung-Piaw Teo |
| 2021 | Binary Matrix Factorisation via Column Generation. Réka Á. Kovács, Oktay Günlük, Raphael A. Hauser |
| 2021 | Binaural Audio-Visual Localization. Xinyi Wu, Zhenyao Wu, Lili Ju, Song Wang |
| 2021 | Bison Hacks the Yard: Assisting Underrepresented Students Overcome Impostor Syndrome with Augmented Reality and Artificial Intelligence. Nicole Sullivan |
| 2021 | BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds. Xiang Zhang, Xiao Sun, Zhouhui Lian |
| 2021 | Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze. Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green |
| 2021 | Boosting Multi-task Learning Through Combination of Task Labels - with Applications in ECG Phenotyping. Ming-En Hsieh, Vincent Tseng |
| 2021 | Bootstrapping Dialog Models from Human to Human Conversation Logs. Pankaj Dhoolia, Vineet Kumar, Danish Contractor, Sachindra Joshi |
| 2021 | Boundary Proposal Network for Two-stage Natural Language Video Localization. Shaoning Xiao, Long Chen, Songyang Zhang, Wei Ji, Jian Shao, Lu Ye, Jun Xiao |
| 2021 | Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds. Jingyu Gong, Jiachen Xu, Xin Tan, Jie Zhou, Yanyun Qu, Yuan Xie, Lizhuang Ma |
| 2021 | Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory. Ran Tian, Liting Sun, Masayoshi Tomizuka |
| 2021 | Bounding Causal Effects on Continuous Outcome. Junzhe Zhang, Elias Bareinboim |
| 2021 | Brain Decoding Using fNIRS. Lu Cao, Dandan Huang, Yue Zhang, Xiaowei Jiang, Yanan Chen |
| 2021 | Branch and Price for Bus Driver Scheduling with Complex Break Constraints. Lucas Kletzander, Nysret Musliu, Pascal Van Hentenryck |
| 2021 | Bridging Towers of Multi-task Learning with a Gating Mechanism for Aspect-based Sentiment Analysis and Sequential Metaphor Identification. Rui Mao, Xiao Li |
| 2021 | Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation. Ke Wang, Guandan Chen, Zhongqiang Huang, Xiaojun Wan, Fei Huang |
| 2021 | Bringing UMAP Closer to the Speed of Light with GPU Acceleration. Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson |
| 2021 | Budget Feasible Mechanisms Over Graphs. Xiang Liu, Weiwei Wu, Minming Li, Wanyuan Wang |
| 2021 | Building Interpretable Interaction Trees for Deep NLP Models. Die Zhang, Hao Zhang, Huilin Zhou, Xiaoyi Bao, Da Huo, Ruizhao Chen, Xu Cheng, Mengyue Wu, Quanshi Zhang |
| 2021 | Business Entity Matching with Siamese Graph Convolutional Networks. Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Anton Zorin |
| 2021 | C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak. Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou |
| 2021 | C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling. Yutai Hou, Sanyuan Chen, Wanxiang Che, Cheng Chen, Ting Liu |
| 2021 | C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer. Dongxu Wei, Xiaowei Xu, Haibin Shen, Kejie Huang |
| 2021 | CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks. Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille |
| 2021 | CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts. Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao |
| 2021 | CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction. Matías Mendieta, Hamed Tabkhi |
| 2021 | CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. Hai Xuan Pham, Ricardo Guerrero, Vladimir Pavlovic, Jiatong Li |
| 2021 | CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud. Wu Zheng, Weiliang Tang, Sijin Chen, Li Jiang, Chi-Wing Fu |
| 2021 | CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models. Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev |
| 2021 | CNN Profiler on Polar Coordinate Images for Tropical Cyclone Structure Analysis. Boyo Chen, Buo-Fu Chen, Chun-Min Hsiao |
| 2021 | CPCGAN: A Controllable 3D Point Cloud Generative Adversarial Network with Semantic Label Generating. Ximing Yang, Yuan Wu, Kaiyi Zhang, Cheng Jin |
| 2021 | Camera-Aware Proxies for Unsupervised Person Re-Identification. Menglin Wang, Baisheng Lai, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua |
| 2021 | CamouFinder: Finding Camouflaged Instances in Images. Trung-Nghia Le, Vuong Nguyen, Cong Le, Tan-Cong Nguyen, Minh-Triet Tran, Tam V. Nguyen |
| 2021 | Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling. Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong |
| 2021 | Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning. Christos Markos, James J. Q. Yu, Richard Yi Da Xu |
| 2021 | Carbon to Diamond: An Incident Remediation Assistant System From Site Reliability Engineers' Conversations in Hybrid Cloud Operations. Suranjana Samanta, Ajay Gupta, Prateeti Mohapatra, Amar Prakash Azad |
| 2021 | CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG. Pritam Sarkar, Ali Etemad |
| 2021 | Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences. Zhi Chen, Fan Yang, Wenbing Tao |
| 2021 | Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently. Rebekka Burkholz, John Quackenbush |
| 2021 | Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment. Ivan Stelmakh, Nihar B. Shah, Aarti Singh |
| 2021 | Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection. Shuai Li, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang |
| 2021 | Certifying Parity Reasoning Efficiently Using Pseudo-Boolean Proofs. Stephan Gocht, Jakob Nordström |
| 2021 | Certifying Top-Down Decision-DNNF Compilers. Florent Capelli, Jean-Marie Lagniez, Pierre Marquis |
| 2021 | Change or Not: A Simple Approach for Plug and Play Language Models on Sentiment Control. Chen Xu, Jianyu Zhao, Rang Li, Changjian Hu, Chuangbai Xiao |
| 2021 | Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems. Anh Tong, Jaesik Choi |
| 2021 | Characterizing the Evasion Attackability of Multi-label Classifiers. Zhuo Yang, Yufei Han, Xiangliang Zhang |
| 2021 | Characterizing the Loss Landscape in Non-Negative Matrix Factorization. Johan Bjorck, Anmol Kabra, Kilian Q. Weinberger, Carla P. Gomes |
| 2021 | Chinese Character Image Clustering and Classification Based on Object Embedding Model (Student Abstract). Mengting Wang, Xun Liang, Yang Xue |
| 2021 | Choosing the Initial State for Online Replanning. Maximilian Fickert, Ivan Gavran, Ivan Fedotov, Jörg Hoffmann, Rupak Majumdar, Wheeler Ruml |
| 2021 | ChronoR: Rotation Based Temporal Knowledge Graph Embedding. Ali Sadeghian, Mohammadreza Armandpour, Anthony M. Colas, Daisy Zhe Wang |
| 2021 | Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Word Embeddings and the Implications to Representation Learning. Wei Zhang, Murray Campbell, Yang Yu, Sadhana Kumaravel |
| 2021 | Class-Attentive Diffusion Network for Semi-Supervised Classification. Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi |
| 2021 | Class-Incremental Instance Segmentation via Multi-Teacher Networks. Yanan Gu, Cheng Deng, Kun Wei |
| 2021 | Classification Under Human Assistance. Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez Rodriguez |
| 2021 | Classification by Attention: Scene Graph Classification with Prior Knowledge. Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp |
| 2021 | Classification with Few Tests through Self-Selection. Hanrui Zhang, Yu Cheng, Vincent Conitzer |
| 2021 | Classification with Strategically Withheld Data. Anilesh K. Krishnaswamy, Haoming Li, David Rein, Hanrui Zhang, Vincent Conitzer |
| 2021 | Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean |
| 2021 | Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang |
| 2021 | Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang |
| 2021 | Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness. Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe |
| 2021 | CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras |
| 2021 | Clustering Ensemble Meets Low-rank Tensor Approximation. Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang |
| 2021 | Clustering Partial Lexicographic Preference Trees (Student Abstract). Joseph Allen, Xudong Liu, Karthikeyan Umapathy, Sandeep Reddivari |
| 2021 | Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification. Libo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni, Ting Liu |
| 2021 | Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection. Tiancai Wang, Tong Yang, Jiale Cao, Xiangyu Zhang |
| 2021 | Coalition Formation in Multi-defender Security Games. Dolev Mutzari, Jiarui Gan, Sarit Kraus |
| 2021 | Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs. Yanlin Wang, Hui Li |
| 2021 | CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge. Chenhao Wang, Yubo Chen, Zhipeng Xue, Yang Zhou, Jun Zhao |
| 2021 | Cold-start Sequential Recommendation via Meta Learner. Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu |
| 2021 | Collaborative Group Learning. Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun |
| 2021 | Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback. Yihan Du, Yuko Kuroki, Wei Chen |
| 2021 | Combining Machine Learning & Reasoning for Biodiversity Data Intelligence. Atriya Sen, Beckett W. Sterner, Nico M. Franz, Caleb Powel, Nathan Upham |
| 2021 | Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model. Ryan Beal, Stuart E. Middleton, Timothy J. Norman, Sarvapali D. Ramchurn |
| 2021 | Combining Preference Elicitation with Local Search and Greedy Search for Matroid Optimization. Nawal Benabbou, Cassandre Leroy, Thibaut Lust, Patrice Perny |
| 2021 | Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization. Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, André A. Ciré |
| 2021 | Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem. Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li |
| 2021 | Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao |
| 2021 | Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning. Bosung Kim, Juae Kim, Youngjoong Ko, Jungyun Seo |
| 2021 | Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling. Hong Chen, Yifei Huang, Hiroya Takamura, Hideki Nakayama |
| 2021 | Communication-Aware Collaborative Learning. Avrim Blum, Shelby Heinecke, Lev Reyzin |
| 2021 | Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning. Wenhan Xian, Feihu Huang, Heng Huang |
| 2021 | Communicative Message Passing for Inductive Relation Reasoning. Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu |
| 2021 | Community-Aware Multi-Task Transportation Demand Prediction. Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong |
| 2021 | CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation. Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi |
| 2021 | Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract). Annika Heuser, Polina Tsvilodub |
| 2021 | Comparison Lift: Bandit-based Experimentation System for Online Advertising. Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan |
| 2021 | Competitive Analysis for Two-Level Ski-Rental Problem. Binghan Wu, Wei Bao, Dong Yuan |
| 2021 | Compilation Complexity of Multi-Winner Voting Rules (Student Abstract). Neel Karia, Jérôme Lang |
| 2021 | Complete Closed Time Intervals-Related Patterns Mining. Omer David Harel, Robert Moskovitch |
| 2021 | Complex Coordinate-Based Meta-Analysis with Probabilistic Programming. Valentin Iovene, Gaston E. Zanitti, Demian Wassermann |
| 2021 | Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games. David Milec, Jakub Cerný, Viliam Lisý, Bo An |
| 2021 | Composite Adversarial Attacks. Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue |
| 2021 | Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs. Wen-Yi Hsiao, Jen-Yu Liu, Yin-Cheng Yeh, Yi-Hsuan Yang |
| 2021 | Comprehension and Knowledge. Pavel Naumov, Kevin Ros |
| 2021 | Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters. Weichao Lan, Liang Lan |
| 2021 | Computational Analyses of the Electoral College: Campaigning Is Hard But Approximately Manageable. Sina Dehghani, Hamed Saleh, Saeed Seddighin, Shang-Hua Teng |
| 2021 | Computational Visual Ceramicology: Matching Image Outlines to Catalog Sketches. Barak Itkin, Lior Wolf, Nachum Dershowitz |
| 2021 | Computationally Tractable Riemannian Manifolds for Graph Embeddings. Calin Cruceru, Gary Bécigneul, Octavian-Eugen Ganea |
| 2021 | Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. Youzhi Zhang, Bo An, Jakub Cerný |
| 2021 | Computing Plan-Length Bounds Using Lengths of Longest Paths. Mohammad Abdulaziz, Dominik Berger |
| 2021 | Computing Quantal Stackelberg Equilibrium in Extensive-Form Games. Jakub Cerný, Viliam Lisý, Branislav Bosanský, Bo An |
| 2021 | Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features. Chaitanya Amballa, Manu K. Gupta, Sanjay P. Bhat |
| 2021 | Computing the Proportional Veto Core. Egor Ianovski, Aleksei Y. Kondratev |
| 2021 | Conceptualized and Contextualized Gaussian Embedding. Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua |
| 2021 | Conditional Inference under Disjunctive Rationality. Richard Booth, Ivan Varzinczak |
| 2021 | Condorcet Relaxation In Spatial Voting. Arnold Filtser, Omrit Filtser |
| 2021 | Confidence-aware Non-repetitive Multimodal Transformers for TextCaps. Zhaokai Wang, Renda Bao, Qi Wu, Si Liu |
| 2021 | Consecutive Decoding for Speech-to-text Translation. Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li |
| 2021 | Consensus Graph Representation Learning for Better Grounded Image Captioning. Wenqiao Zhang, Haochen Shi, Siliang Tang, Jun Xiao, Qiang Yu, Yueting Zhuang |
| 2021 | Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation. Kaihong Wang, Chenhongyi Yang, Margrit Betke |
| 2021 | Consistency and Finite Sample Behavior of Binary Class Probability Estimation. Alexander Mey, Marco Loog |
| 2021 | Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM. Jianzhu Huai, Yukai Lin, Yuan Zhuang, Min Shi |
| 2021 | Consistent-Separable Feature Representation for Semantic Segmentation. Xingjian He, Jing Liu, Jun Fu, Xinxin Zhu, Jinqiao Wang, Hanqing Lu |
| 2021 | Constrained Risk-Averse Markov Decision Processes. Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames |
| 2021 | Constraint Logic Programming for Real-World Test Laboratory Scheduling. Tobias Geibinger, Florian Mischek, Nysret Musliu |
| 2021 | Constraint-Driven Learning of Logic Programs. Rolf Morel |
| 2021 | Constructing a Fair Classifier with Generated Fair Data. Taeuk Jang, Feng Zheng, Xiaoqian Wang |
| 2021 | Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional Variational Autoencoder for Automatic Storytelling. Meng-Hsuan Yu, Juntao Li, Zhangming Chan, Rui Yan, Dongyan Zhao |
| 2021 | Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent. Peter Schaldenbrand, Jean Oh |
| 2021 | Context Matters: Graph-based Self-supervised Representation Learning for Medical Images. Li Sun, Ke Yu, Kayhan Batmanghelich |
| 2021 | Context-Aware Graph Convolution Network for Target Re-identification. Deyi Ji, Haoran Wang, Hanzhe Hu, Weihao Gan, Wei Wu, Junjie Yan |
| 2021 | Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract). Ziyue Qiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou |
| 2021 | Context-Guided Adaptive Network for Efficient Human Pose Estimation. Lei Zhao, Jun Wen, Pengfei Wang, Nenggan Zheng |
| 2021 | Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. Zhengxuan Wu, Desmond C. Ong |
| 2021 | Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification. Ardhendu Behera, Zachary Wharton, Pradeep R. P. G. Hewage, Asish Bera |
| 2021 | Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract). Luting Yang, Jianyi Yang, Shaolei Ren |
| 2021 | Contextual Conditional Reasoning. Giovanni Casini, Thomas Andreas Meyer, Ivan Varzinczak |
| 2021 | Contextualized Rewriting for Text Summarization. Guangsheng Bao, Yue Zhang |
| 2021 | Continual General Chunking Problem and SyncMap. Danilo Vasconcellos Vargas, Toshitake Asabuki |
| 2021 | Continual Learning by Using Information of Each Class Holistically. Wenpeng Hu, Qi Qin, Mengyu Wang, Jinwen Ma, Bing Liu |
| 2021 | Continual Learning for Named Entity Recognition. Natawut Monaikul, Giuseppe Castellucci, Simone Filice, Oleg Rokhlenko |
| 2021 | Continuous Self-Attention Models with Neural ODE Networks. Jing Zhang, Peng Zhang, Baiwen Kong, Junqiu Wei, Xin Jiang |
| 2021 | Continuous-Time Attention for Sequential Learning. Jen-Tzung Chien, Yi-Hsiang Chen |
| 2021 | Contract Scheduling With Predictions. Spyros Angelopoulos, Shahin Kamali |
| 2021 | Contract-based Inter-user Usage Coordination in Free-floating Car Sharing. Kentaro Takahira, Shigeo Matsubara |
| 2021 | Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition. Dae Ha Kim, Byung Cheol Song |
| 2021 | Contrastive Clustering. Yunfan Li, Peng Hu, Jerry Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng |
| 2021 | Contrastive Self-supervised Learning for Graph Classification. Jiaqi Zeng, Pengtao Xie |
| 2021 | Contrastive Transformation for Self-supervised Correspondence Learning. Ning Wang, Wengang Zhou, Houqiang Li |
| 2021 | Contrastive Triple Extraction with Generative Transformer. Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen |
| 2021 | Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning. Sheng Wan, Shirui Pan, Jian Yang, Chen Gong |
| 2021 | Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg |
| 2021 | Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions. Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi |
| 2021 | Conversational Neuro-Symbolic Commonsense Reasoning. Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell |
| 2021 | Converse, Focus and Guess - Towards Multi-Document Driven Dialogue. Han Liu, Caixia Yuan, Xiaojie Wang, Yushu Yang, Huixing Jiang, Zhongyuan Wang |
| 2021 | Coordination Between Individual Agents in Multi-Agent Reinforcement Learning. Yang Zhang, Qingyu Yang, Dou An, Chengwei Zhang |
| 2021 | Copy That! Editing Sequences by Copying Spans. Sheena Panthaplackel, Miltiadis Allamanis, Marc Brockschmidt |
| 2021 | Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems. Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin |
| 2021 | Correlative Channel-Aware Fusion for Multi-View Time Series Classification. Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu |
| 2021 | Cost-aware Graph Generation: A Deep Bayesian Optimization Approach. Jiaxu Cui, Bo Yang, Bingyi Sun, Jiming Liu |
| 2021 | Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms. Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada |
| 2021 | Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon |
| 2021 | Counting Maximal Satisfiable Subsets. Jaroslav Bendík, Kuldeep S. Meel |
| 2021 | Coupled Layer-wise Graph Convolution for Transportation Demand Prediction. Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong |
| 2021 | Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty. Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen |
| 2021 | Coupon Design in Advertising Systems. Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang |
| 2021 | Court Opinion Generation from Case Fact Description with Legal Basis. Quanzhi Li, Qiong Zhang |
| 2021 | Creating Interpretable Data-Driven Approaches for Remote Health Monitoring. Alireza Ghods |
| 2021 | Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation. Minsu Kim, Sunghun Joung, Seungryong Kim, Jungin Park, Ig-Jae Kim, Kwanghoon Sohn |
| 2021 | Cross-Layer Distillation with Semantic Calibration. Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen |
| 2021 | Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer. Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, Enhong Chen |
| 2021 | CrossNER: Evaluating Cross-Domain Named Entity Recognition. Zihan Liu, Yan Xu, Tiezheng Yu, Wenliang Dai, Ziwei Ji, Samuel Cahyawijaya, Andrea Madotto, Pascale Fung |
| 2021 | Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning. Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez |
| 2021 | Curriculum-Meta Learning for Order-Robust Continual Relation Extraction. Tongtong Wu, Xuekai Li, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu |
| 2021 | Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan |
| 2021 | Cutting to the Core of Pseudo-Boolean Optimization: Combining Core-Guided Search with Cutting Planes Reasoning. Jo Devriendt, Stephan Gocht, Emir Demirovic, Jakob Nordström, Peter J. Stuckey |
| 2021 | DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits. Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn |
| 2021 | DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training. Fei Yu, Mo Zhang, Hexin Dong, Sheng Hu, Bin Dong, Li Zhang |
| 2021 | DASZL: Dynamic Action Signatures for Zero-shot Learning. Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan L. Yuille, Gregory D. Hager |
| 2021 | DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues. Qi Jia, Hongru Huang, Kenny Q. Zhu |
| 2021 | DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems. Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu |
| 2021 | DIBS: Diversity Inducing Information Bottleneck in Model Ensembles. Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti |
| 2021 | DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection. Haoshu Fang, Yichen Xie, Dian Shao, Cewu Lu |
| 2021 | DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch. Xiaofeng Ruan, Yufan Liu, Bing Li, Chunfeng Yuan, Weiming Hu |
| 2021 | DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park |
| 2021 | Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao |
| 2021 | Data Augmentation for Graph Neural Networks. Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah |
| 2021 | Data Domain Change and Feature Selection to Predict Cardiac Pathology with a 2D Clinical Dataset and Convolutional Neural Networks (Student Abstract). Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, Inês Dutra |
| 2021 | Data-Driven Multimodal Patrol Planning for Anti-poaching. Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi, Fei Fang |
| 2021 | Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis. Zi Wang |
| 2021 | Data-driven Competitive Algorithms for Online Knapsack and Set Cover. Ali Zeynali, Bo Sun, Mohammad Hassan Hajiesmaili, Adam Wierman |
| 2021 | DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation. Zhicong Yan, Gaolei Li, Yuan Tian, Jun Wu, Shenghong Li, Mingzhe Chen, H. Vincent Poor |
| 2021 | Debiasing Evaluations That Are Biased by Evaluations. Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah |
| 2021 | Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination. Minglong Li, Zhongxuan Cai, Wenjing Yang, Lixia Wu, Yinghui Xu, Ji Wang |
| 2021 | DecAug: Augmenting HOI Detection via Decomposition. Haoshu Fang, Yichen Xie, Dian Shao, Yong-Lu Li, Cewu Lu |
| 2021 | DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li |
| 2021 | Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification. Guile Wu, Shaogang Gong |
| 2021 | Decentralized Multi-Agent Linear Bandits with Safety Constraints. Sanae Amani, Christos Thrampoulidis |
| 2021 | Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning. Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh |
| 2021 | Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks. Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun |
| 2021 | Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search. Chuchu Han, Zhedong Zheng, Changxin Gao, Nong Sang, Yi Yang |
| 2021 | Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras. Xipeng Chen, Pengxu Wei, Liang Lin |
| 2021 | Deep Bayesian Quadrature Policy Optimization. Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Animashree Anandkumar, Yisong Yue |
| 2021 | Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws. Kookjin Lee, Kevin T. Carlberg |
| 2021 | Deep Contextual Clinical Prediction with Reverse Distillation. Rohan S. Kodialam, Rebecca Boiarsky, Justin Lim, Aditya Sai, Neil Dixit, David A. Sontag |
| 2021 | Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems. Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban, François St-Hilaire, Jackie Chi Kit Cheung |
| 2021 | Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19. Dongdong Wang, Shunpu Zhang, Liqiang Wang |
| 2021 | Deep Event Stereo Leveraged by Event-to-Image Translation. Soikat Hasan Ahmed, Hae Woong Jang, S. M. Nadim Uddin, Yong Ju Jung |
| 2021 | Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification. Siyuan Cheng, Yingqi Liu, Shiqing Ma, Xiangyu Zhang |
| 2021 | Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster. Zhiqin John Xu, Hanxu Zhou |
| 2021 | Deep Fusion Clustering Network. Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng |
| 2021 | Deep Graph Spectral Evolution Networks for Graph Topological Evolution. Negar Etemadyrad, Qingzhe Li, Liang Zhao |
| 2021 | Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing. Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao |
| 2021 | Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures. Sebastian Risi, Kenneth O. Stanley |
| 2021 | Deep Just-In-Time Inconsistency Detection Between Comments and Source Code. Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney |
| 2021 | Deep Low-Contrast Image Enhancement using Structure Tensor Representation. Hyungjoo Jung, Hyunsung Jang, Namkoo Ha, Kwanghoon Sohn |
| 2021 | Deep Metric Learning with Graph Consistency. Binghui Chen, Pengyu Li, Zhaoyi Yan, Biao Wang, Lei Zhang |
| 2021 | Deep Metric Learning with Self-Supervised Ranking. Zheren Fu, Yan Li, Zhendong Mao, Quan Wang, Yongdong Zhang |
| 2021 | Deep Multi-Task Learning for Diabetic Retinopathy Grading in Fundus Images. Xiaofei Wang, Mai Xu, Jicong Zhang, Lai Jiang, Liu Li |
| 2021 | Deep Mutual Information Maximin for Cross-Modal Clustering. Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, Yangdong Ye |
| 2021 | Deep Open Intent Classification with Adaptive Decision Boundary. Hanlei Zhang, Hua Xu, Ting-En Lin |
| 2021 | Deep Partial Rank Aggregation for Personalized Attributes. Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang |
| 2021 | Deep Portfolio Optimization via Distributional Prediction of Residual Factors. Kentaro Imajo, Kentaro Minami, Katsuya Ito, Kei Nakagawa |
| 2021 | Deep Probabilistic Canonical Correlation Analysis. Mahdi Karami, Dale Schuurmans |
| 2021 | Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging. He Sun, Katherine L. Bouman |
| 2021 | Deep Radial-Basis Value Functions for Continuous Control. Kavosh Asadi, Neev Parikh, Ronald E. Parr, George Dimitri Konidaris, Michael L. Littman |
| 2021 | Deep Recurrent Belief Propagation Network for POMDPs. Yuhui Wang, Xiaoyang Tan |
| 2021 | Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract). Keren Nivasch, Dana Shapira, Amos Azaria |
| 2021 | Deep Semantic Dictionary Learning for Multi-label Image Classification. Fengtao Zhou, Sheng Huang, Yun Xing |
| 2021 | Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information. Yi Chen, Hong Qu, Malu Zhang, Yuchen Wang |
| 2021 | Deep Style Transfer for Line Drawings. Xueting Liu, Wenliang Wu, Huisi Wu, Zhenkun Wen |
| 2021 | Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting. Amirreza Farnoosh, Bahar Azari, Sarah Ostadabbas |
| 2021 | Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems. Zhengyu Chen, Ziqing Xu, Donglin Wang |
| 2021 | Deep Unsupervised Image Hashing by Maximizing Bit Entropy. Yunqiang Li, Jan van Gemert |
| 2021 | Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio |
| 2021 | Deep Wasserstein Graph Discriminant Learning for Graph Classification. Tong Zhang, Yun Wang, Zhen Cui, Chuanwei Zhou, Baoliang Cui, Haikuan Huang, Jian Yang |
| 2021 | DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash |
| 2021 | DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning. Bo Cui, Guyue Hu, Shan Yu |
| 2021 | DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction. Yiming Luo, Zhenxing Mi, Wenbing Tao |
| 2021 | DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis. Md. Mahmudur Rahman, Koji Matsuo, Shinya Matsuzaki, Sanjay Purushotham |
| 2021 | DeepRobust: a Platform for Adversarial Attacks and Defenses. Yaxin Li, Wei Jin, Han Xu, Jiliang Tang |
| 2021 | DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning. Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening |
| 2021 | DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding. Zhicheng Wang, Biwei Huang, Shikui Tu, Kun Zhang, Lei Xu |
| 2021 | DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations. Ruben Tolosana, Paula Delgado-Santos, Andrés Pérez-Uribe, Rubén Vera-Rodríguez, Julian Fiérrez, Aythami Morales |
| 2021 | Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning. Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel |
| 2021 | Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization. Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene |
| 2021 | Defending against Backdoors in Federated Learning with Robust Learning Rate. Mustafa Safa Özdayi, Murat Kantarcioglu, Yulia R. Gel |
| 2021 | Defending against Contagious Attacks on a Network with Resource Reallocation. Rufan Bai, Haoxing Lin, Xinyu Yang, Xiaowei Wu, Minming Li, Weijia Jia |
| 2021 | Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of Interest. Erzhuo Shao, Shiyuan Guo, Zachary A. Pardos |
| 2021 | Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse. Yuxiang Liu, Jidong Ge, Chuanyi Li, Jie Gui |
| 2021 | Democratizing Constraint Satisfaction Problems through Machine Learning. Mohit Kumar, Samuel Kolb, Clément Gautrais, Luc De Raedt |
| 2021 | Demodalizing Face Recognition with Synthetic Samples. Zhonghua Zhai, Pengju Yang, Xiaofeng Zhang, Maji Huang, Haijing Cheng, Xuejun Yan, Chunmao Wang, Shiliang Pu |
| 2021 | Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract). Maurizio Ferrari Dacrema |
| 2021 | Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback. Yuchen Cui, Qiping Zhang, Sahil Jain, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox |
| 2021 | Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model. Wenkai Zhang, Hongyu Lin, Xianpei Han, Le Sun, Huidan Liu, Zhicheng Wei, Nicholas Jing Yuan |
| 2021 | Dense Events Grounding in Video. Peijun Bao, Qian Zheng, Yadong Mu |
| 2021 | DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation. Dongfang Liu, Yiming Cui, Liqi Yan, Christos Mousas, Baijian Yang, Yingjie Victor Chen |
| 2021 | Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty. Nian-Ze Lee, Jie-Hong R. Jiang |
| 2021 | Depth Privileged Object Detection in Indoor Scenes via Deformation Hallucination. Zhijie Zhang, Yan Liu, Junjie Chen, Li Niu, Liqing Zhang |
| 2021 | Designing a Hybrid AI Residency. Felipe Leno da Silva, Silvio Stanzani, Jefferson Fialho, Jorge Mondadori, Muriel Mazzetto, Felipe Sanches Couto, Raphael Cóbe |
| 2021 | Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain. Jinyu Tian, Jiantao Zhou, Yuanman Li, Jia Duan |
| 2021 | Detecting Beneficial Feature Interactions for Recommender Systems. Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu |
| 2021 | Detecting Lexical Semantic Change across Corpora with Smooth Manifolds (Student Abstract). Anmol Goel, Ponnurangam Kumaraguru |
| 2021 | Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery. Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer A. Hobbs |
| 2021 | Detection of Digital Manipulation in Facial Images (Student Abstract). Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh |
| 2021 | Deterministic Mini-batch Sequencing for Training Deep Neural Networks. Subhankar Banerjee, Shayok Chakraborty |
| 2021 | Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract). Adarsh Jamadandi, Uma Mudenagudi |
| 2021 | Device Fabrication Knowledge Extraction from Materials Science Literature. Neelanshi Wadhwa, Sarath S, Sapan Shah, Sreedhar Reddy, Pritwish Mitra, Deepak Jain, Beena Rai |
| 2021 | Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring. Zhen Chen, Jun Zhang, Shuanlong Che, Junzhou Huang, Xiao Han, Yixuan Yuan |
| 2021 | Dialog Policy Learning for Joint Clarification and Active Learning Queries. Aishwarya Padmakumar, Raymond J. Mooney |
| 2021 | Dialog Router: Automated Dialog Transition via Multi-Task Learning. Ziming Huang, Zhuoxuan Jiang, Hao Chen, Xue Han, Yabin Dang |
| 2021 | DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha |
| 2021 | DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition. Weizhou Shen, Junqing Chen, Xiaojun Quan, Zhixian Xie |
| 2021 | Differentiable Fluids with Solid Coupling for Learning and Control. Tetsuya Takahashi, Junbang Liang, Yi-Ling Qiao, Ming C. Lin |
| 2021 | Differentiable Inductive Logic Programming for Structured Examples. Hikaru Shindo, Masaaki Nishino, Akihiro Yamamoto |
| 2021 | Differential Spectral Normalization (DSN) for PDE Discovery. Chi Chiu So, Tsz On Li, Chufang Wu, Siu Pang Yung |
| 2021 | Differentially Private Clustering via Maximum Coverage. Matthew Jones, Huy L. Nguyen, Thy Dinh Nguyen |
| 2021 | Differentially Private Decomposable Submodular Maximization. Anamay Chaturvedi, Huy Le Nguyen, Lydia Zakynthinou |
| 2021 | Differentially Private Link Prediction with Protected Connections. Abir De, Soumen Chakrabarti |
| 2021 | Differentially Private Stochastic Coordinate Descent. Georgios Damaskinos, Celestine Mendler-Dünner, Rachid Guerraoui, Nikolaos Papandreou, Thomas P. Parnell |
| 2021 | Differentially Private and Communication Efficient Collaborative Learning. Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan |
| 2021 | Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach. Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck |
| 2021 | Differentially Private k-Means via Exponential Mechanism and Max Cover. Huy L. Nguyen, Anamay Chaturvedi, Eric Z. Xu |
| 2021 | Diffusion Network Inference from Partial Observations. Ting Gan, Keqi Han, Hao Huang, Shi Ying, Yunjun Gao, Zongpeng Li |
| 2021 | DirectQE: Direct Pretraining for Machine Translation Quality Estimation. Qu Cui, Shujian Huang, Jiahuan Li, Xiang Geng, Zaixiang Zheng, Guoping Huang, Jiajun Chen |
| 2021 | Discovering Fully Oriented Causal Networks. Osman Mian, Alexander Marx, Jilles Vreeken |
| 2021 | Discovering New Intents with Deep Aligned Clustering. Hanlei Zhang, Hua Xu, Ting-En Lin, Rui Lyu |
| 2021 | Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. Beomyoung Kim, Sangeun Han, Junmo Kim |
| 2021 | Disentangled Information Bottleneck. Ziqi Pan, Li Niu, Jianfu Zhang, Liqing Zhang |
| 2021 | Disentangled Motif-aware Graph Learning for Phrase Grounding. Zongshen Mu, Siliang Tang, Jie Tan, Qiang Yu, Yueting Zhuang |
| 2021 | Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction. Inhwan Bae, Hae-Gon Jeon |
| 2021 | Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond. Shifu Hou, Yujie Fan, Mingxuan Ju, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong, Fudong Shao |
| 2021 | Disjunctive Temporal Problems under Structural Restrictions. Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov |
| 2021 | Disposable Linear Bandits for Online Recommendations. Melda Korkut, Andrew Li |
| 2021 | Distant Transfer Learning via Deep Random Walk. Qiao Xiao, Yu Zhang |
| 2021 | Distilling Localization for Self-Supervised Representation Learning. Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin |
| 2021 | Distributed Ranking with Communications: Approximation Analysis and Applications. Hong Chen, Yingjie Wang, Yulong Wang, Feng Zheng |
| 2021 | Distributed Situation Awareness for Multi-agent Mission in Dynamic Environments: A Case Study of Multi-UAVs Wildfires Searching. Sagir Muhammad Yusuf, Chris Baber |
| 2021 | Distribution Adaptive INT8 Quantization for Training CNNs. Kang Zhao, Sida Huang, Pan Pan, Yinghan Li, Yingya Zhang, Zhenyu Gu, Yinghui Xu |
| 2021 | Distribution Matching for Rationalization. Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang |
| 2021 | Distributional Reinforcement Learning via Moment Matching. Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh |
| 2021 | District-Fair Participatory Budgeting. D. Ellis Hershkowitz, Anson Kahng, Dominik Peters, Ariel D. Procaccia |
| 2021 | Diverse Knowledge Distillation for End-to-End Person Search. Xinyu Zhang, Xinlong Wang, Jia-Wang Bian, Chunhua Shen, Mingyu You |
| 2021 | Dividing a Graphical Cake. Xiaohui Bei, Warut Suksompong |
| 2021 | Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection. Taesun Whang, Dongyub Lee, Dongsuk Oh, Chanhee Lee, Kijong Han, Dong-Hun Lee, Saebyeok Lee |
| 2021 | Doc2Bot: Document grounded Bot Framework. Kshitij P. Fadnis, Pankaj Dhoolia, Li Zhu, Q. Vera Liao, Steven Ross, Nathaniel Mills, Sachindra Joshi, Luis A. Lastras |
| 2021 | DocParser: Hierarchical Document Structure Parsing from Renderings. Johannes Rausch, Octavio Martinez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel |
| 2021 | Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling. Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang |
| 2021 | Document-Level Relation Extraction with Reconstruction. Wang Xu, Kehai Chen, Tiejun Zhao |
| 2021 | Does Explainable Artificial Intelligence Improve Human Decision-Making? Yasmeen Alufaisan, Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu |
| 2021 | Does Head Label Help for Long-Tailed Multi-Label Text Classification. Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song |
| 2021 | Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar |
| 2021 | Domain General Face Forgery Detection by Learning to Weight. Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, Rongrong Ji |
| 2021 | Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract). Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro |
| 2021 | Double Oracle Algorithm for Computing Equilibria in Continuous Games. Lukás Adam, Rostislav Horcík, Tomás Kasl, Tomás Kroupa |
| 2021 | Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding. Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan |
| 2021 | DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. Seongho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Minsu Lee, Byoung-Tak Zhang |
| 2021 | DropLoss for Long-Tail Instance Segmentation. Ting-I Hsieh, Esther Robb, Hwann-Tzong Chen, Jia-Bin Huang |
| 2021 | Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval. Shengsheng Qian, Dizhan Xue, Huaiwen Zhang, Quan Fang, Changsheng Xu |
| 2021 | Dual Compositional Learning in Interactive Image Retrieval. Jongseok Kim, Youngjae Yu, Hoeseong Kim, Gunhee Kim |
| 2021 | Dual Distribution Alignment Network for Generalizable Person Re-Identification. Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Mingliang Xu, Qi Tian, Rongrong Ji |
| 2021 | Dual Quaternion Knowledge Graph Embeddings. Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang |
| 2021 | Dual Sparse Attention Network For Session-based Recommendation. Jiahao Yuan, Zihan Song, Mingyou Sun, Xiaoling Wang, Wayne Xin Zhao |
| 2021 | Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe |
| 2021 | Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao |
| 2021 | Dual-level Collaborative Transformer for Image Captioning. Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Chia-Wen Lin, Rongrong Ji |
| 2021 | Dynamic Anchor Learning for Arbitrary-Oriented Object Detection. Qi Ming, Zhiqiang Zhou, Lingjuan Miao, Hongwei Zhang, Linhao Li |
| 2021 | Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search. Alvaro Velasquez, Brett Bissey, Lior Barak, Andre Beckus, Ismail Alkhouri, Daniel Melcer, George K. Atia |
| 2021 | Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson |
| 2021 | Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers. Shijie Geng, Peng Gao, Moitreya Chatterjee, Chiori Hori, Jonathan Le Roux, Yongfeng Zhang, Hongsheng Li, Anoop Cherian |
| 2021 | Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing. Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu |
| 2021 | Dynamic Knowledge Graph Alignment. Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong |
| 2021 | Dynamic Memory based Attention Network for Sequential Recommendation. Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu |
| 2021 | Dynamic Modeling Cross- and Self-Lattice Attention Network for Chinese NER. Shan Zhao, Minghao Hu, Zhiping Cai, Haiwen Chen, Fang Liu |
| 2021 | Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu |
| 2021 | Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. Antoine Bosselut, Ronan Le Bras, Yejin Choi |
| 2021 | Dynamic Position-aware Network for Fine-grained Image Recognition. Shijie Wang, Haojie Li, Zhihui Wang, Wanli Ouyang |
| 2021 | Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder. Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah, Vineetha Kondameedi, Abhinav Jain, Akshaj Verma, Chiranjib Bhattacharyya, Vinay Vishwanath |
| 2021 | Dynamically Grown Generative Adversarial Networks. Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto |
| 2021 | EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (Student Abstract). Ayaan Haque |
| 2021 | ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning. Tomer Golany, Daniel Freedman, Kira Radinsky |
| 2021 | EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding. Jiaoyang Li, Wheeler Ruml, Sven Koenig |
| 2021 | EMLight: Lighting Estimation via Spherical Distribution Approximation. Fangneng Zhan, Changgong Zhang, Yingchen Yu, Yuan Chang, Shijian Lu, Feiying Ma, Xuansong Xie |
| 2021 | EQG-RACE: Examination-Type Question Generation. Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu |
| 2021 | ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs. Fei Yu, Jiji Tang, Weichong Yin, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang |
| 2021 | ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare. Ali Burak Ünal, Mete Akgün, Nico Pfeifer |
| 2021 | ESO-MAPF: Bridging Discrete Planning and Continuous Execution in Multi-Agent Pathfinding. Ján Chudý, Pavel Surynek |
| 2021 | Early Prediction of Children's Task Completion in a Tablet Tutor using Visual Features (Student Abstract). Bikram Boote, Mansi Agarwal, Jack Mostow |
| 2021 | Early Safety Warnings for Long-Distance Pipelines: A Distributed Optical Fiber Sensor Machine Learning Approach. Yiyuan Yang, Yi Li, Taojia Zhang, Yan Zhou, Haifeng Zhang |
| 2021 | EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition. Chengyu Wang, Mengli Cheng, Xu Hu, Jun Huang |
| 2021 | EasyRL: A Simple and Extensible Reinforcement Learning Framework. Neil Hulbert, Sam Spillers, Brandon Francis, James Haines-Temons, Ken Gil Romero, Benjamin De Jager, Sam Wong, Kevin Flora, Bowei Huang, Athirai A. Irissappane |
| 2021 | Edge-competing Pathological Liver Vessel Segmentation with Limited Labels. Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song |
| 2021 | Educational Question Mining At Scale: Prediction, Analysis and Personalization. Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, Richard G. Baraniuk, Cheng Zhang |
| 2021 | EeLISA: Combating Global Warming Through the Rapid Analysis of Eelgrass Wasting Disease. Brendan H. Rappazzo, Morgan E. Eisenlord, Olivia J. Graham, Lillian R. Aoki, Phoebe D. Dawkins, Drew Harvell, Carla P. Gomes |
| 2021 | Effective Clustering of scRNA-seq Data to Identify Biomarkers without User Input. Hussain A. Chowdhury |
| 2021 | Effective Slot Filling via Weakly-Supervised Dual-Model Learning. Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Gang Chen |
| 2021 | Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings. Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz |
| 2021 | Efficient Certification of Spatial Robustness. Anian Ruoss, Maximilian Baader, Mislav Balunovic, Martin T. Vechev |
| 2021 | Efficient Classification with Adaptive KNN. Puning Zhao, Lifeng Lai |
| 2021 | Efficient Deep Image Denoising via Class Specific Convolution. Lu Xu, Jiawei Zhang, Xuanye Cheng, Feng Zhang, Xing Wei, Jimmy S. J. Ren |
| 2021 | Efficient Folded Attention for Medical Image Reconstruction and Segmentation. Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang |
| 2021 | Efficient License Plate Recognition via Holistic Position Attention. Yesheng Zhang, Zilei Wang, Jiafan Zhuang |
| 2021 | Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding. Dexin Wang, Deyi Xiong |
| 2021 | Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization. Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan |
| 2021 | Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng |
| 2021 | Efficient Poverty Mapping from High Resolution Remote Sensing Images. Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon |
| 2021 | Efficient Querying for Cooperative Probabilistic Commitments. Qi Zhang, Edmund H. Durfee, Satinder Singh |
| 2021 | Efficient Robust Music Genre Classification with Depthwise Separable Convolutions and Source Separation. Gabriel Mersy |
| 2021 | Efficient Truthful Scheduling and Resource Allocation through Monitoring. Dimitris Fotakis, Piotr Krysta, Carmine Ventre |
| 2021 | EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining. Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, Jianjun Zhao |
| 2021 | Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent. Giorgi Nadiradze, Ilia Markov, Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh |
| 2021 | Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path. Lili Wang, Chongyang Gao, Chenghan Huang, Ruibo Liu, Weicheng Ma, Soroush Vosoughi |
| 2021 | Embodied Visual Active Learning for Semantic Segmentation. David Nilsson, Aleksis Pirinen, Erik Gärtner, Cristian Sminchisescu |
| 2021 | Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie |
| 2021 | Empirical Best Practices On Using Product-Specific Schema.org. Mayank Kejriwal, Ravi Kiran Selvam, Chien-Chun Ni, Nicolas Torzec |
| 2021 | Empirical Regularization for Synthetic Sentence Pairs in Unsupervised Neural Machine Translation. Xi Ai, Bin Fang |
| 2021 | Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training. Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao, Zhigang Chen, Yueting Zhuang |
| 2021 | Empowering Adaptive Early-Exit Inference with Latency Awareness. Xinrui Tan, Hongjia Li, Liming Wang, Xueqing Huang, Zhen Xu |
| 2021 | Empowering Conversational AI is a Trip to Mars: Progress and Future of Open Domain Human-Computer Dialogues. Rui Yan, Wei Wu |
| 2021 | Enabling Fast Instruction-Based Modification of Learned Robot Skills. Tyler M. Frasca, Bradley Oosterveld, Meia Chita-Tegmark, Matthias Scheutz |
| 2021 | Enabling Fast and Universal Audio Adversarial Attack Using Generative Model. Yi Xie, Zhuohang Li, Cong Shi, Jian Liu, Yingying Chen, Bo Yuan |
| 2021 | Encoder-Decoder Based Unified Semantic Role Labeling with Label-Aware Syntax. Hao Fei, Fei Li, Bobo Li, Donghong Ji |
| 2021 | Encoding Human Domain Knowledge to Warm Start Reinforcement Learning. Andrew Silva, Matthew C. Gombolay |
| 2021 | Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling. Jixuan Wang, Kai Wei, Martin Radfar, Weiwei Zhang, Clement Chung |
| 2021 | Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract). Pierre Bernabé, Helge Spieker, Bruno Legeard, Arnaud Gotlieb |
| 2021 | End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images. Jung Hee Kim, Siyeong Lee, Suk-Ju Kang |
| 2021 | End-to-end Semantic Role Labeling with Neural Transition-based Model. Hao Fei, Meishan Zhang, Bobo Li, Donghong Ji |
| 2021 | Endomorphisms of Classical Planning Tasks. Rostislav Horcík, Daniel Fiser |
| 2021 | Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning. Yifang Yin, Harsh Shrivastava, Ying Zhang, Zhenguang Liu, Rajiv Ratn Shah, Roger Zimmermann |
| 2021 | Enhanced Regularizers for Attributional Robustness. Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian |
| 2021 | Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning. Jingran Zhang, Xing Xu, Fumin Shen, Huimin Lu, Xin Liu, Heng Tao Shen |
| 2021 | Enhancing Balanced Graph Edge Partition with Effective Local Search. Zhenyu Guo, Mingyu Xiao, Yi Zhou, Dongxiang Zhang, Kian-Lee Tan |
| 2021 | Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract). Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu |
| 2021 | Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank. Anxiang Zeng, Han Yu, Hua-Lin He, Yabo Ni, Yongliang Li, Jingren Zhou, Chunyan Miao |
| 2021 | Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem. Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao |
| 2021 | Enhancing Scientific Papers Summarization with Citation Graph. Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2021 | Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion. Jinpeng Wang, Yuting Gao, Ke Li, Jianguo Hu, Xinyang Jiang, Xiaowei Guo, Rongrong Ji, Xing Sun |
| 2021 | Entity Guided Question Generation with Contextual Structure and Sequence Information Capturing. Qingbao Huang, Mingyi Fu, Linzhang Mo, Yi Cai, Jingyun Xu, Pijian Li, Qing Li, Ho-fung Leung |
| 2021 | Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao |
| 2021 | Epistemic Logic of Know-Who. Sophia Epstein, Pavel Naumov |
| 2021 | Equitable Scheduling on a Single Machine. Klaus Heeger, Danny Hermelin, George B. Mertzios, Hendrik Molter, Rolf Niedermeier, Dvir Shabtay |
| 2021 | Equivalent Causal Models. Sander Beckers |
| 2021 | Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting. Yuhang He, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Wei Ke, Yihong Gong |
| 2021 | Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks. Yang Song, Qiyu Kang, Wee Peng Tay |
| 2021 | Escaping Local Optima with Non-Elitist Evolutionary Algorithms. Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre |
| 2021 | Estimating Calibrated Individualized Survival Curves with Deep Learning. Fahad Kamran, Jenna Wiens |
| 2021 | Estimating Card Fitness for Discard in Gin Rummy. Jacob Gallucci, Richard Bowser, Sarah Kettell, Christian Overton |
| 2021 | Estimating Identifiable Causal Effects through Double Machine Learning. Yonghan Jung, Jin Tian, Elias Bareinboim |
| 2021 | Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries. Dimitris Fotakis, Thanasis Pittas, Stratis Skoulakis |
| 2021 | Estimating α-Rank by Maximizing Information Gain. Tabish Rashid, Cheng Zhang, Kamil Ciosek |
| 2021 | Estimation of Spectral Risk Measures. Ajay Kumar Pandey, Prashanth L. A., Sanjay P. Bhat |
| 2021 | Ethical Dilemmas in Strategic Games. Pavel Naumov, Rui-Jie Yew |
| 2021 | Ethically Compliant Sequential Decision Making. Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein |
| 2021 | EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation. Qi Zhou, Haipeng Chen, Yitao Zheng, Zhen Wang |
| 2021 | Evaluating Gin Rummy Hands Using Opponent Modeling and Myopic Meld Distance. Phoebe Goldman, Corey R. Knutson, Ryan Mahtab, Jack Maloney, Joseph B. Mueller, Richard G. Freedman |
| 2021 | Evaluating Meta-Reinforcement Learning through a HVAC Control Benchmark (Student Abstract). Yashvir S. Grewal, Frits de Nijs, Sarah Goodwin |
| 2021 | Evidence Aware Neural Pornographic Text Identification for Child Protection. Kaisong Song, Yangyang Kang, Wei Gao, Zhe Gao, Changlong Sun, Xiaozhong Liu |
| 2021 | Evidence Inference Networks for Interpretable Claim Verification. Lianwei Wu, Yuan Rao, Ling Sun, Wangbo He |
| 2021 | Evolution Strategies for Approximate Solution of Bayesian Games. Zun Li, Michael P. Wellman |
| 2021 | Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm. Akira Terauchi, Naoki Mori |
| 2021 | Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games. Stratis Skoulakis, Tanner Fiez, Ryann Sim, Georgios Piliouras, Lillian J. Ratliff |
| 2021 | Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks. Abrar Anwar |
| 2021 | ExGAN: Adversarial Generation of Extreme Samples. Siddharth Bhatia, Arjit Jain, Bryan Hooi |
| 2021 | Exacerbating Algorithmic Bias through Fairness Attacks. Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan |
| 2021 | Exact Reduction of Huge Action Spaces in General Reinforcement Learning. Sultan Javed Majeed, Marcus Hutter |
| 2021 | Expected Eligibility Traces. Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa |
| 2021 | Expected Value of Communication for Planning in Ad Hoc Teamwork. William Macke, Reuth Mirsky, Peter Stone |
| 2021 | Explainable Models with Consistent Interpretations. Vipin Pillai, Hamed Pirsiavash |
| 2021 | Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach. Seo-Jin Bang, Pengtao Xie, Heewook Lee, Wei Wu, Eric P. Xing |
| 2021 | Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation. Sam Sattarzadeh, Mahesh Sudhakar, Anthony Lem, Shervin Mehryar, Konstantinos N. Plataniotis, Jongseong Jang, Hyunwoo Kim, Yeonjeong Jeong, Sangmin Lee, Kyunghoon Bae |
| 2021 | Explaining Neural Matrix Factorization with Gradient Rollback. Carolin Lawrence, Timo Sztyler, Mathias Niepert |
| 2021 | Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability. Tao Han, Wei-Wei Tu, Yufeng Li |
| 2021 | Explicitly Modeled Attention Maps for Image Classification. Andong Tan, Duc Tam Nguyen, Maximilian Dax, Matthias Nießner, Thomas Brox |
| 2021 | Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation. Yan-Bo Lin, Yu-Chiang Frank Wang |
| 2021 | Exploiting Behavioral Consistence for Universal User Representation. Jie Gu, Feng Wang, Qinghui Sun, Zhiquan Ye, Xiaoxiao Xu, Jingmin Chen, Jun Zhang |
| 2021 | Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation. Bowen Cai, Huan Fu, Rongfei Jia, Binqiang Zhao, Hua Li, Yinghui Xu |
| 2021 | Exploiting Learnable Joint Groups for Hand Pose Estimation. Moran Li, Yuan Gao, Nong Sang |
| 2021 | Exploiting Relationship for Complex-scene Image Generation. Tianyu Hua, Hongdong Zheng, Yalong Bai, Wei Zhang, Xiao-Ping Zhang, Tao Mei |
| 2021 | Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification. Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang, Zheng-Jun Zha |
| 2021 | Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning. Zhen-Ru Zhang, Qian-Wen Zhang, Yunbo Cao, Min-Ling Zhang |
| 2021 | Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework. Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li |
| 2021 | Exploration of Unknown Environments Using Deep Reinforcement Learning. Joseph McCalmon |
| 2021 | Exploration via State influence Modeling. Yongxin Kang, Enmin Zhao, Kai Li, Junliang Xing |
| 2021 | Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory. Stefanos Leonardos, Georgios Piliouras |
| 2021 | Exploratory Machine Learning with Unknown Unknowns. Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou |
| 2021 | Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning. Bowen Qin, Min Yang, Lidong Bing, Qingshan Jiang, Chengming Li, Ruifeng Xu |
| 2021 | Exploring Explainable Selection to Control Abstractive Summarization. Haonan Wang, Yang Gao, Yu Bai, Mirella Lapata, Heyan Huang |
| 2021 | Exploring Transfer Learning For End-to-End Spoken Language Understanding. Subendhu Rongali, Beiye Liu, Liwei Cai, Konstantine Arkoudas, Chengwei Su, Wael Hamza |
| 2021 | Exploring the Efficacy of Generic Drugs in Treating Cancer. Ioana Baldini, Mariana Bernagozzi, Sulbha Aggarwal, Mihaela A. Bornea, Saksham Chawla, Joppe Geluykens, Dmitriy A. Katz-Rogozhnikov, Pratik Mukherjee, Smruthi Ramesh, Sara Rosenthal, Jagrati Sharma, Kush R. Varshney, Laura B. Kleiman, Pradeep Mangalath, Catherine Del Vecchio Fitz |
| 2021 | Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption. Xu Sun, Zhiyuan Zhang, Xuancheng Ren, Ruixuan Luo, Liangyou Li |
| 2021 | Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications. Haw-Shiuan Chang, Amol Agrawal, Andrew McCallum |
| 2021 | Extending Policy Shaping to Continuous State Spaces (Student Abstract). Thomas Benjamin Wei, Taylor A. Kessler Faulkner, Andrea Lockerd Thomaz |
| 2021 | Extracting Learned Discard and Knocking Strategies from a Gin Rummy Bot. Benjamin Goldstein, Jean-Pierre Astudillo Guerra, Emily Haigh, Bryan Cruz Ulloa, Jeremy Blum |
| 2021 | Extracting Zero-shot Structured Information from Form-like Documents: Pretraining with Keys and Triggers. Rongyu Cao, Ping Luo |
| 2021 | Extreme k-Center Clustering. MohammadHossein Bateni, Hossein Esfandiari, Manuela Fischer, Vahab S. Mirrokni |
| 2021 | F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation. Daizong Liu, Dongdong Yu, Changhu Wang, Pan Zhou |
| 2021 | FACS: Fast Code-based Algorithm for Coalition Structure Generation (Student Abstract). Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder |
| 2021 | FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates |
| 2021 | FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion. Lina Liu, Xibin Song, Xiaoyang Lyu, Junwei Diao, Mengmeng Wang, Yong Liu, Liangjun Zhang |
| 2021 | FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding. Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu |
| 2021 | FIMAP: Feature Importance by Minimal Adversarial Perturbation. Matt Chapman-Rounds, Umang Bhatt, Erik Pazos, Marc-Andre Schulz, Konstantinos Georgatzis |
| 2021 | FIXMYPOSE: Pose Correctional Captioning and Retrieval. Hyounghun Kim, Abhay Zala, Graham Burri, Mohit Bansal |
| 2021 | FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social Relation Extraction. Hai Wan, Manrong Zhang, Jianfeng Du, Ziling Huang, Yufei Yang, Jeff Z. Pan |
| 2021 | FLAME: Differentially Private Federated Learning in the Shuffle Model. Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa |
| 2021 | FaceController: Controllable Attribute Editing for Face in the Wild. Zhiliang Xu, Xiyu Yu, Zhibin Hong, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding, Xiang Bai |
| 2021 | Facility's Perspective to Fair Facility Location Problems. Chenhao Wang, Xiaoying Wu, Minming Li, Hau Chan |
| 2021 | Fact-Enhanced Synthetic News Generation. Kai Shu, Yichuan Li, Kaize Ding, Huan Liu |
| 2021 | Fair Influence Maximization: a Welfare Optimization Approach. Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe |
| 2021 | Fair Representations by Compression. Xavier Gitiaux, Huzefa Rangwala |
| 2021 | Fair Stable Matchings Under Correlated Preferences (Student Abstract). Angelina Brilliantova, Hadi Hosseini |
| 2021 | Fair and Efficient Allocations under Lexicographic Preferences. Hadi Hosseini, Sujoy Sikdar, Rohit Vaish, Lirong Xia |
| 2021 | Fair and Efficient Allocations under Subadditive Valuations. Bhaskar Ray Chaudhury, Jugal Garg, Ruta Mehta |
| 2021 | Fair and Efficient Allocations with Limited Demands. Sushirdeep Narayana, Ian A. Kash |
| 2021 | Fair and Efficient Online Allocations with Normalized Valuations. Vasilis Gkatzelis, Alexandros Psomas, Xizhi Tan |
| 2021 | Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization. Michael Geden, Joshua Andrews |
| 2021 | Fair and Truthful Mechanisms for Dichotomous Valuations. Moshe Babaioff, Tomer Ezra, Uriel Feige |
| 2021 | Fairness in Forecasting and Learning Linear Dynamical Systems. Quan Zhou, Jakub Marecek, Robert N. Shorten |
| 2021 | Fairness in Influence Maximization through Randomization. Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi, Hugo Gilbert |
| 2021 | Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints. Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Aravind Srinivasan, Leonidas Tsepenekas |
| 2021 | Fairness-aware News Recommendation with Decomposed Adversarial Learning. Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie |
| 2021 | Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks. Maurício Gruppi, Pin-Yu Chen, Sibel Adali |
| 2021 | Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce. Yanhao Zhang, Qiang Wang, Pan Pan, Yun Zheng, Cheng Da, Siyang Sun, Yinghui Xu |
| 2021 | Fast Multi-view Discrete Clustering with Anchor Graphs. Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie |
| 2021 | Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection. Matteo Pegoraro, Mario Beraha |
| 2021 | Fast Training of Provably Robust Neural Networks by SingleProp. Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel |
| 2021 | Fast and Compact Bilinear Pooling by Shifted Random Maclaurin. Tan Yu, Xiaoyun Li, Ping Li |
| 2021 | Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients. Huimin Wu, Zhengmian Hu, Bin Gu |
| 2021 | Faster Depth-Adaptive Transformers. Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu |
| 2021 | Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent. Gabriele Farina, Christian Kroer, Tuomas Sandholm |
| 2021 | Faster Stackelberg Planning via Symbolic Search and Information Sharing. Álvaro Torralba, Patrick Speicher, Robert Künnemann, Marcel Steinmetz, Jörg Hoffmann |
| 2021 | Faster and Better Simple Temporal Problems. Dario Ostuni, Alice Raffaele, Romeo Rizzi, Matteo Zavatteri |
| 2021 | FedRec++: Lossless Federated Recommendation with Explicit Feedback. Feng Liang, Weike Pan, Zhong Ming |
| 2021 | Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models. Ruiyuan Wu, Anna Scaglione, Hoi-To Wai, Nurullah Karakoç, Kari Hreinsson, Wing-Kin Ma |
| 2021 | Federated Multi-Armed Bandits. Chengshuai Shi, Cong Shen |
| 2021 | Few-Shot Class-Incremental Learning via Relation Knowledge Distillation. Songlin Dong, Xiaopeng Hong, Xiaoyu Tao, Xinyuan Chang, Xing Wei, Yihong Gong |
| 2021 | Few-Shot Lifelong Learning. Pratik Mazumder, Pravendra Singh, Piyush Rai |
| 2021 | Few-Shot One-Class Classification via Meta-Learning. Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp |
| 2021 | Few-shot Font Generation with Localized Style Representations and Factorization. Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim |
| 2021 | Few-shot Learning for Multi-label Intent Detection. Yutai Hou, Yongkui Lai, Yushan Wu, Wanxiang Che, Ting Liu |
| 2021 | Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue. Longxiang Liu, Zhuosheng Zhang, Hai Zhao, Xi Zhou, Xiang Zhou |
| 2021 | Finding Diverse Trees, Paths, and More. Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, Yota Otachi |
| 2021 | Finding Needles in Heterogeneous Haystacks. Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian |
| 2021 | Finding Sparse Structures for Domain Specific Neural Machine Translation. Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li |
| 2021 | Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games. Brian Hu Zhang, Tuomas Sandholm |
| 2021 | Fine-grained Generalization Analysis of Vector-Valued Learning. Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft |
| 2021 | Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks. Xin Chen, Lingxi Xie, Jun Wu, Longhui Wei, Yuhui Xu, Qi Tian |
| 2021 | Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences. Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Pengfei Yin, Shi Wang |
| 2021 | Flow-based Generative Models for Learning Manifold to Manifold Mappings. Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh |
| 2021 | Focused Inference and System P. Marco Wilhelm, Gabriele Kern-Isberner |
| 2021 | FontRL: Chinese Font Synthesis via Deep Reinforcement Learning. Yitian Liu, Zhouhui Lian |
| 2021 | Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs. Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu |
| 2021 | Forecasting Reservoir Inflow via Recurrent Neural ODEs. Fan Zhou, Liang Li |
| 2021 | Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao |
| 2021 | Forming Better Stable Solutions in Group Formation Games Inspired by Internet Exchange Points (IXPs). Elliot Anshelevich, Wennan Zhu |
| 2021 | FracBits: Mixed Precision Quantization via Fractional Bit-Widths. Linjie Yang, Qing Jin |
| 2021 | Fractal Autoencoders for Feature Selection. Xinxing Wu, Qiang Cheng |
| 2021 | Frequency Consistent Adaptation for Real World Super Resolution. Xiaozhong Ji, Guangpin Tao, Yun Cao, Ying Tai, Tong Lu, Chengjie Wang, Jilin Li, Feiyue Huang |
| 2021 | Frivolous Units: Wider Networks Are Not Really That Wide. Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman |
| 2021 | From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from Data on Repeated Interactions. Gali Noti |
| 2021 | From Label Smoothing to Label Relaxation. Julian Lienen, Eyke Hüllermeier |
| 2021 | Frugal Optimization for Cost-related Hyperparameters. Qingyun Wu, Chi Wang, Silu Huang |
| 2021 | Fully Exploiting Cascade Graphs for Real-time Forwarding Prediction. Xiangyun Tang, Dongliang Liao, Weijie Huang, Jin Xu, Liehuang Zhu, Meng Shen |
| 2021 | Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion. Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao, Tai-Xiang Jiang |
| 2021 | Future-Guided Incremental Transformer for Simultaneous Translation. Shaolei Zhang, Yang Feng, Liangyou Li |
| 2021 | GAN Ensemble for Anomaly Detection. Xu Han, Xiaohui Chen, Li-Ping Liu |
| 2021 | GANs Unplugged. Patrick Virtue |
| 2021 | GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction. Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang |
| 2021 | GDPNet: Refining Latent Multi-View Graph for Relation Extraction. Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng |
| 2021 | GENSYNTH: Synthesizing Datalog Programs without Language Bias. Jonathan Mendelson, Aaditya Naik, Mukund Raghothaman, Mayur Naik |
| 2021 | GIF Thumbnails: Attract More Clicks to Your Videos. Yi Xu, Fan Bai, Yingxuan Shi, Qiuyu Chen, Longwen Gao, Kai Tian, Shuigeng Zhou, Huyang Sun |
| 2021 | GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez |
| 2021 | GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer |
| 2021 | GO Hessian for Expectation-Based Objectives. Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin |
| 2021 | GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients. Chaohe Zhang, Xin Gao, Liantao Ma, Yasha Wang, Jiangtao Wang, Wen Tang |
| 2021 | GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting. Beibei Wang, Youfang Lin, Shengnan Guo, Huaiyu Wan |
| 2021 | GTA: Graph Truncated Attention for Retrosynthesis. Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang |
| 2021 | Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks. Arijit Sehanobish, Neal G. Ravindra, David van Dijk |
| 2021 | Game of Gradients: Mitigating Irrelevant Clients in Federated Learning. Lokesh Nagalapatti, Ramasuri Narayanam |
| 2021 | Gated Linear Networks. Joel Veness, Tor Lattimore, David Budden, Avishkar Bhoopchand, Christopher Mattern, Agnieszka Grabska-Barwinska, Eren Sezener, Jianan Wang, Peter Toth, Simon Schmitt, Marcus Hutter |
| 2021 | Gaussian Process Priors for View-Aware Inference. Yuxin Hou, Ari Heljakka, Arno Solin |
| 2021 | GaussianPath: A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning. Guojia Wan, Bo Du |
| 2021 | Gene Regulatory Network Inference as Relaxed Graph Matching. Deborah A. Weighill, Marouen Ben Guebila, Camila Miranda Lopes-Ramos, Kimberly Glass, John Quackenbush, John Platig, Rebekka Burkholz |
| 2021 | Gene Regulatory Network Inference using 3D Convolutional Neural Network. Yue Fan, Xiuli Ma |
| 2021 | General Policies, Representations, and Planning Width. Blai Bonet, Hector Geffner |
| 2021 | Generalising without Forgetting for Lifelong Person Re-Identification. Guile Wu, Shaogang Gong |
| 2021 | Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing. Zhihong Chen, Taiping Yao, Kekai Sheng, Shouhong Ding, Ying Tai, Jilin Li, Feiyue Huang, Xinyu Jin |
| 2021 | Generalization in Portfolio-Based Algorithm Selection. Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik |
| 2021 | Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances. Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha |
| 2021 | Generalized Adversarially Learned Inference. Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai |
| 2021 | Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction. Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Wenqiang Lei, Zhe Sun, Adam Jatowt, Zhenglu Yang |
| 2021 | Generalized Zero-Shot Learning via Disentangled Representation. Xiangyu Li, Zhe Xu, Kun Wei, Cheng Deng |
| 2021 | Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text. Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha |
| 2021 | Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract). Jinqi Luo, Tao Bai, Jun Zhao |
| 2021 | Generating CCG Categories. Yufang Liu, Tao Ji, Yuanbin Wu, Man Lan |
| 2021 | Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection. Wei Wang, Piji Li, Hai-Tao Zheng |
| 2021 | Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation. Yunpeng Ren, Ziao Wang, Yiyuan Wang, Xiaofeng Zhang |
| 2021 | Generating Natural Language Attacks in a Hard Label Black Box Setting. Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi |
| 2021 | Generative Partial Visual-Tactile Fused Object Clustering. Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding |
| 2021 | Generative Semi-supervised Learning for Multivariate Time Series Imputation. Xiaoye Miao, Yangyang Wu, Jun Wang, Yunjun Gao, Xudong Mao, Jianwei Yin |
| 2021 | Geodesic-HOF: 3D Reconstruction Without Cutting Corners. Ziyun Wang, Eric A. Mitchell, Volkan Isler, Daniel D. Lee |
| 2021 | Global Fusion Attention for Vision and Language Understanding (Student Abstract). Zixin Guo, Chen Liang, Ziyu Wan, Yang Bai |
| 2021 | GoT: a Growing Tree Model for Clustering Ensemble. Feijiang Li, Yuhua Qian, Jieting Wang |
| 2021 | Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle. Yu-Sian Jiang, Garrett Warnell, Peter Stone |
| 2021 | Going Deeper With Directly-Trained Larger Spiking Neural Networks. Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li |
| 2021 | Goten: GPU-Outsourcing Trusted Execution of Neural Network Training. Lucien K. L. Ng, Sherman S. M. Chow, Anna P. Y. Woo, Donald P. H. Wong, Yongjun Zhao |
| 2021 | Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization. Wei Tao, Wei Li, Zhisong Pan, Qing Tao |
| 2021 | Gradient Regularized Contrastive Learning for Continual Domain Adaptation. Shixiang Tang, Peng Su, Dapeng Chen, Wanli Ouyang |
| 2021 | Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks. Charles A. Kantor, Léonard Boussioux, Brice Rauby, Hugues Talbot |
| 2021 | GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates. Qifei Jia, Shikui Wei, Tao Ruan, Yufeng Zhao, Yao Zhao |
| 2021 | Graph Game Embedding. Xiaobin Hong, Tong Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang |
| 2021 | Graph Heterogeneous Multi-Relational Recommendation. Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma |
| 2021 | Graph Learning for Inverse Landscape Genetics. Prathamesh Dharangutte, Christopher Musco |
| 2021 | Graph Neural Network to Dilute Outliers for Refactoring Monolith Application. Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam |
| 2021 | Graph Neural Network-Based Anomaly Detection in Multivariate Time Series. Ailin Deng, Bryan Hooi |
| 2021 | Graph Neural Networks with Heterophily. Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra |
| 2021 | Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos. Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan |
| 2021 | Graph-Based Tri-Attention Network for Answer Ranking in CQA. Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang |
| 2021 | Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang |
| 2021 | Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin |
| 2021 | Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition. Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu |
| 2021 | GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks. Yi Li, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, Yiming Wang |
| 2021 | GraphMix: Improved Training of GNNs for Semi-Supervised Learning. Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang |
| 2021 | Group Fairness by Probabilistic Modeling with Latent Fair Decisions. YooJung Choi, Meihua Dang, Guy Van den Broeck |
| 2021 | Group Testing on a Network. Arlei Silva, Ambuj K. Singh |
| 2021 | Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation. Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang |
| 2021 | Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. Qiu Ran, Yankai Lin, Peng Li, Jie Zhou |
| 2021 | HARGAN: Heterogeneous Argument Attention Network for Persuasiveness Prediction. Kuo Yu Huang, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2021 | HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference. Jakob Kruse, Gianluca Detommaso, Ullrich Köthe, Robert Scheichl |
| 2021 | HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang |
| 2021 | HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P. Gomes |
| 2021 | HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation. Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan |
| 2021 | Hand-Model-Aware Sign Language Recognition. Hezhen Hu, Wengang Zhou, Houqiang Li |
| 2021 | Harmonized Dense Knowledge Distillation Training for Multi-Exit Architectures. Xinglu Wang, Yingming Li |
| 2021 | Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use. Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav |
| 2021 | HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection. Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee |
| 2021 | Have We Solved The Hard Problem? It's Not Easy! Contextual Lexical Contrast as a Means to Probe Neural Coherence. Wenqiang Lei, Yisong Miao, Runpeng Xie, Bonnie Webber, Meichun Liu, Tat-Seng Chua, Nancy F. Chen |
| 2021 | Heisenbot: A Rule-Based Game Agent for Gin Rummy. Matthew Eicholtz, Savanna Moss, Matthew Traino, Christian Roberson |
| 2021 | HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract). Vince Jankovics, Michaël Garcia Ortiz, Eduardo Alonso |
| 2021 | HetSeq: Distributed GPU Training on Heterogeneous Infrastructure. Yifan Ding, Nicholas Botzer, Tim Weninger |
| 2021 | Heterogeneous Graph Structure Learning for Graph Neural Networks. Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye |
| 2021 | HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning. Jiankai Sun, Rui Liu, Bolei Zhou |
| 2021 | HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles. Ji Gan, Weiqiang Wang |
| 2021 | Hierarchical Coherence Modeling for Document Quality Assessment. Dongliang Liao, Jin Xu, Gongfu Li, Yiru Wang |
| 2021 | Hierarchical Graph Capsule Network. Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang |
| 2021 | Hierarchical Graph Convolution Network for Traffic Forecasting. Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin |
| 2021 | Hierarchical Information Passing Based Noise-Tolerant Hybrid Learning for Semi-Supervised Human Parsing. Yunan Liu, Shanshan Zhang, Jian Yang, Pong Chi Yuen |
| 2021 | Hierarchical Macro Discourse Parsing Based on Topic Segmentation. Feng Jiang, Yaxin Fan, Xiaomin Chu, Peifeng Li, Qiaoming Zhu, Fang Kong |
| 2021 | Hierarchical Multiple Kernel Clustering. Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang |
| 2021 | Hierarchical Negative Binomial Factorization for Recommender Systems on Implicit Feedback. Li-Yen Kuo, Ming-Syan Chen |
| 2021 | Hierarchical Reinforcement Learning for Integrated Recommendation. Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin |
| 2021 | Hierarchical Relational Inference. Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber |
| 2021 | Hierarchically and Cooperatively Learning Traffic Signal Control. Bingyu Xu, Yaowei Wang, Zhaozhi Wang, Huizhu Jia, Zongqing Lu |
| 2021 | High Dimensional Level Set Estimation with Bayesian Neural Network. Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2021 | High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition. Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau-San Wong |
| 2021 | High-Confidence Off-Policy (or Counterfactual) Variance Estimation. Yash Chandak, Shiv Shankar, Philip S. Thomas |
| 2021 | High-Dimensional Bayesian Optimization via Tree-Structured Additive Models. Eric Han, Ishank Arora, Jonathan Scarlett |
| 2021 | High-Resolution Deep Image Matting. Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi |
| 2021 | Hindsight and Sequential Rationality of Correlated Play. Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy R. Greenwald, Michael Bowling |
| 2021 | Holistic Multi-View Building Analysis in the Wild with Projection Pooling. Zbigniew Wojna, Krzysztof Maziarz, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iasonas Kokkinos |
| 2021 | HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions. Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu |
| 2021 | How Do We Move: Modeling Human Movement with System Dynamics. Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li |
| 2021 | How Does Data Augmentation Affect Privacy in Machine Learning? Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu |
| 2021 | How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? Zhong Li, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang |
| 2021 | How Human Centered AI Will Contribute Towards Intelligent Gaming Systems. Yilei Zeng |
| 2021 | How Linguistically Fair Are Multilingual Pre-Trained Language Models? Monojit Choudhury, Amit Deshpande |
| 2021 | How RL Agents Behave When Their Actions Are Modified. Eric D. Langlois, Tom Everitt |
| 2021 | How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation. Swaroop Mishra, Anjana Arunkumar |
| 2021 | How to Save your Annotation Cost for Panoptic Segmentation? Xuefeng Du, Chenhan Jiang, Hang Xu, Gengwei Zhang, Zhenguo Li |
| 2021 | How to Train Your Agent to Read and Write. Li Liu, Mengge He, Guanghui Xu, Mingkui Tan, Qi Wu |
| 2021 | Human Uncertainty Inference via Deterministic Ensemble Neural Networks. Yujin Cha, Sang Wan Lee |
| 2021 | Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin |
| 2021 | Humor Knowledge Enriched Transformer for Understanding Multimodal Humor. Md. Kamrul Hasan, Sangwu Lee, Wasifur Rahman, Amir Zadeh, Rada Mihalcea, Louis-Philippe Morency, Ehsan Hoque |
| 2021 | HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao |
| 2021 | Hybrid-order Stochastic Block Model. Xunxun Wu, Chang-Dong Wang, Pengfei Jiao |
| 2021 | Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu |
| 2021 | Hypothesis Disparity Regularized Mutual Information Maximization. Qicheng Lao, Xiang Jiang, Mohammad Havaei |
| 2021 | I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting. Jiahua Dong, Yang Cong, Gan Sun, Bingtao Ma, Lichen Wang |
| 2021 | IA-GM: A Deep Bidirectional Learning Method for Graph Matching. Kaixuan Zhao, Shikui Tu, Lei Xu |
| 2021 | IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks. Insu Jeon, Wonkwang Lee, Myeongjang Pyeon, Gunhee Kim |
| 2021 | IBM Scenario Planning Advisor: A Neuro-Symbolic ERM Solution. Mark Feblowitz, Oktie Hassanzadeh, Michael Katz, Shirin Sohrabi, Kavitha Srinivas, Octavian Udrea |
| 2021 | IDOL: Inertial Deep Orientation-Estimation and Localization. Scott Sun, Dennis Melamed, Kris Kitani |
| 2021 | IFDDS: An Anti-fraud Outbound Robot. Zihao Wang, Minghui Yang, Chunxiang Jin, Jia Liu, Zujie Wen, Saishuai Liu, Zhe Zhang |
| 2021 | ITRIX - an AI Enabled Solution for Orchestration of Recovery Instructions. Wanita Sherchan, Garfield Vaughn, Shaila Pervin, Bryan Barone |
| 2021 | Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change. Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic |
| 2021 | Identity-aware Graph Neural Networks. Jiaxuan You, Jonathan Michael Gomes Selman, Rex Ying, Jure Leskovec |
| 2021 | Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification. Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou |
| 2021 | If You Like Shapley Then You'll Love the Core. Tom Yan, Ariel D. Procaccia |
| 2021 | Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network. Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, Jignesh Modi, Julian Togelius, Amy K. Hoover, Stefanos Nikolaidis |
| 2021 | Image Captioning with Context-Aware Auxiliary Guidance. Zeliang Song, Xiaofei Zhou, Zhendong Mao, Jianlong Tan |
| 2021 | Image-to-Image Retrieval by Learning Similarity between Scene Graphs. Sangwoong Yoon, Woo-Young Kang, Sungwook Jeon, SeongEun Lee, Changjin Han, Jonghun Park, Eun-Sol Kim |
| 2021 | Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. Chunpu Xu, Min Yang, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu |
| 2021 | Implicit Kernel Attention. Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon |
| 2021 | Improved Consistency Regularization for GANs. Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang |
| 2021 | Improved Knowledge Modeling and Its Use for Signaling in Multi-Agent Planning with Partial Observability. Shashank Shekhar, Ronen I. Brafman, Guy Shani |
| 2021 | Improved Mutual Information Estimation. Youssef Mroueh, Igor Melnyk, Pierre L. Dognin, Jarret Ross, Tom Sercu |
| 2021 | Improved POMDP Tree Search Planning with Prioritized Action Branching. John Mern, Anil Yildiz, Lawrence Bush, Tapan Mukerji, Mykel J. Kochenderfer |
| 2021 | Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization. Wanli Shi, Bin Gu |
| 2021 | Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration. Priyank Agrawal, Jinglin Chen, Nan Jiang |
| 2021 | Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu |
| 2021 | Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract). Prateek Garg, Murari Mandal, Pratik Narang |
| 2021 | Improving Causal Discovery By Optimal Bayesian Network Learning. Ni Y. Lu, Kun Zhang, Changhe Yuan |
| 2021 | Improving Causal Inference by Increasing Model Expressiveness. David D. Jensen |
| 2021 | Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation. Ieva Staliunaite, Philip John Gorinski, Ignacio Iacobacci |
| 2021 | Improving Continuous-time Conflict Based Search. Anton Andreychuk, Konstantin S. Yakovlev, Eli Boyarski, Roni Stern |
| 2021 | Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung |
| 2021 | Improving Fairness and Privacy in Selection Problems. Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi |
| 2021 | Improving Generative Moment Matching Networks with Distribution Partition. Yong Ren, Yucen Luo, Jun Zhu |
| 2021 | Improving Gradient Flow with Unrolled Highway Expectation Maximization. Chonghyuk Song, Eunseok Kim, Inwook Shim |
| 2021 | Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network. Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji |
| 2021 | Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract). Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer |
| 2021 | Improving Maximum k-plex Solver via Second-Order Reduction and Graph Color Bounding. Yi Zhou, Shan Hu, Mingyu Xiao, Zhang-Hua Fu |
| 2021 | Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang |
| 2021 | Improving Robustness to Model Inversion Attacks via Mutual Information Regularization. Tianhao Wang, Yuheng Zhang, Ruoxi Jia |
| 2021 | Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus |
| 2021 | Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning. Binbin Xie, Jinsong Su, Yubin Ge, Xiang Li, Jianwei Cui, Junfeng Yao, Bin Wang |
| 2021 | Improving the Efficiency and Effectiveness for BERT-based Entity Resolution. Bing Li, Yukai Miao, Yaoshu Wang, Yifang Sun, Wei Wang |
| 2021 | Improving the Morphology and Control Policy of Self-reconfiguring Modular Robots in Dynamic Environment (Student Abstract). Dong Xue, Qiang Lu, Jian Li |
| 2021 | Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions (Student Abstract). Jonathan Martinez |
| 2021 | Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions. Jonathan Martinez, Kobi Gal, Ece Kamar, Levi H. S. Lelis |
| 2021 | In-game Residential Home Planning via Visual Context-aware Global Relation Learning. Lijuan Liu, Yin Yang, Yi Yuan, Tianjia Shao, He Wang, Kun Zhou |
| 2021 | Incentive-Aware PAC Learning. Hanrui Zhang, Vincent Conitzer |
| 2021 | Incentivizing Truthfulness Through Audits in Strategic Classification. Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik |
| 2021 | Incorporating Bidirection-Interactive Information and Semantic Features for Relational Facts Extraction (Student Abstract). Yang Yu, Guohua Wang, Haopeng Ren, Yi Cai |
| 2021 | Incorporating Curiosity into Personalized Ranking for Collaborative Filtering (Student Abstract). Qiqi Ding, Yi Cai, Ke Xu, Huakui Zhang |
| 2021 | Increasing Iterate Averaging for Solving Saddle-Point Problems. Yuan Gao, Christian Kroer, Donald Goldfarb |
| 2021 | Incremental Embedding Learning via Zero-Shot Translation. Kun Wei, Cheng Deng, Xu Yang, Maosen Li |
| 2021 | Indecision Modeling. Duncan C. McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer, Jana Schaich Borg, John P. Dickerson |
| 2021 | Individual Fairness in Kidney Exchange Programs. Golnoosh Farnadi, William St-Arnaud, Behrouz Babaki, Margarida Carvalho |
| 2021 | Inductive Graph Neural Networks for Spatiotemporal Kriging. Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun |
| 2021 | Inference Fusion with Associative Semantics for Unseen Object Detection. Yanan Li, Pengyang Li, Han Cui, Donghui Wang |
| 2021 | Inference-Based Deterministic Messaging For Multi-Agent Communication. Varun Bhatt, Michael Buro |
| 2021 | Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network. Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang, Junnan Liu |
| 2021 | Inferring Emotion from Large-scale Internet Voice Data: A Semi-supervised Curriculum Augmentation based Deep Learning Approach. Suping Zhou, Jia Jia, Zhiyong Wu, Zhihan Yang, Yanfeng Wang, Wei Chen, Fanbo Meng, Shuo Huang, Jialie Shen, Xiaochuan Wang |
| 2021 | Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters. Avi Matza, Yuval Bistritz |
| 2021 | Infinite-Dimensional Fisher Markets: Equilibrium, Duality and Optimization. Yuan Gao, Christian Kroer |
| 2021 | Information Block Detection in Infographic Based on Spatial Proximity and Structural Similarity (Student Abstract). Jie Lin, Xin Wu, Jianwei Lu, Yi Cai |
| 2021 | Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang |
| 2021 | Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation. Yunlong Liang, Fandong Meng, Ying Zhang, Yufeng Chen, Jinan Xu, Jie Zhou |
| 2021 | Initiative Defense against Facial Manipulation. Qidong Huang, Jie Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu |
| 2021 | Instance Mining with Class Feature Banks for Weakly Supervised Object Detection. Yufei Yin, Jiajun Deng, Wengang Zhou, Houqiang Li |
| 2021 | Instrumental Variable-based Identification for Causal Effects using Covariate Information. Yuta Kawakami |
| 2021 | Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization. Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda |
| 2021 | Integrating Pre-trained Model into Rule-based Dialogue Management. Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang |
| 2021 | Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations. Hoon Seo, Lodewijk Brand, Hua Wang, Feiping Nie |
| 2021 | Intelligent Recommendations for Citizen Science. Daniel Ben Zaken, Kobi Gal, Guy Shani, Avi Segal, Darlene Cavalier |
| 2021 | Interactive Speech and Noise Modeling for Speech Enhancement. Chengyu Zheng, Xiulian Peng, Yuan Zhang, Sriram Srinivasan, Yan Lu |
| 2021 | Interactive Video Object Mask Annotation. Trung-Nghia Le, Tam V. Nguyen, Quoc-Cuong Tran, Lam Nguyen, Trung-Hieu Hoang, Minh-Quan Le, Minh-Triet Tran |
| 2021 | Interpretable Actions: Controlling Experts with Understandable Commands. Shumeet Baluja, David Marwood, Michele Covell |
| 2021 | Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks. Yuhang Yao, Carlee Joe-Wong |
| 2021 | Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network. Seunghyun Lee, Byung Cheol Song |
| 2021 | Interpretable Graph Capsule Networks for Object Recognition. Jindong Gu |
| 2021 | Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines. Yangming Li, Kaisheng Yao |
| 2021 | Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. Arun Das, Jeffrey Mock, Yufei Huang, Edward J. Golob, Peyman Najafirad |
| 2021 | Interpretable Sequence Classification via Discrete Optimization. Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith |
| 2021 | Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations. Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee |
| 2021 | Interpreting Multivariate Shapley Interactions in DNNs. Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, Quanshi Zhang |
| 2021 | Interpreting Neural Networks as Quantitative Argumentation Frameworks. Nico Potyka |
| 2021 | Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks. Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong |
| 2021 | Introduction to Machine Learning with Robots and Playful Learning. Viktoriya Olari, Kostadin Cvejoski, Øyvind Eide |
| 2021 | Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang |
| 2021 | Inverse Reinforcement Learning From Like-Minded Teachers. Ritesh Noothigattu, Tom Yan, Ariel D. Procaccia |
| 2021 | Inverse Reinforcement Learning with Explicit Policy Estimates. Navyata Sanghvi, Shinnosuke Usami, Mohit Sharma, Joachim Groeger, Kris Kitani |
| 2021 | Inverse Reinforcement Learning with Natural Language Goals. Li Zhou, Kevin Small |
| 2021 | Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors. Ruihan Zhang, Prashan Madumal, Tim Miller, Krista A. Ehinger, Benjamin I. P. Rubinstein |
| 2021 | Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud. Mingye Xu, Zhipeng Zhou, Junhao Zhang, Yu Qiao |
| 2021 | Investigating Methods of Balancing Inequality and Efficiency in Ride Pooling. Naveen Raman |
| 2021 | Is Active Learning Always Beneficial? (Student Abstract). Anna Kravchenko, Rhodri Cusack |
| 2021 | Is Each Layer Non-trivial in CNN? (Student Abstract). Wei Wang, Yanjie Zhu, Zhuoxu Cui, Dong Liang |
| 2021 | Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork. Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld |
| 2021 | IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren |
| 2021 | Isolation Graph Kernel. Bi-Cun Xu, Kai Ming Ting, Yuan Jiang |
| 2021 | It Takes Two to Empathize: One to Seek and One to Provide. Mahshid Hosseini, Cornelia Caragea |
| 2021 | Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso |
| 2021 | Iterative Utterance Segmentation for Neural Semantic Parsing. Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang |
| 2021 | JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase. Wanying Ding, Vinay K. Chaudhri, Naren Chittar, Krishna Konakanchi |
| 2021 | Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou |
| 2021 | Joint Color-irrelevant Consistency Learning and Identity-aware Modality Adaptation for Visible-infrared Cross Modality Person Re-identification. Zhiwei Zhao, Bin Liu, Qi Chu, Yan Lu, Nenghai Yu |
| 2021 | Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty. Jierun Chen, Song Wen, S.-H. Gary Chan |
| 2021 | Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing. Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu |
| 2021 | Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards. Rahul Aralikatte, Mostafa Abdou, Heather C. Lent, Daniel Hershcovich, Anders Søgaard |
| 2021 | Joint Semantic-geometric Learning for Polygonal Building Segmentation. Weijia Li, Wenqian Zhao, Huaping Zhong, Conghui He, Dahua Lin |
| 2021 | Joint-Label Learning by Dual Augmentation for Time Series Classification. Qianli Ma, Zhenjing Zheng, Jiawei Zheng, Sen Li, Wanqing Zhuang, Garrison W. Cottrell |
| 2021 | Judgment Prediction via Injecting Legal Knowledge into Neural Networks. Leilei Gan, Kun Kuang, Yi Yang, Fei Wu |
| 2021 | Juice: A Julia Package for Logic and Probabilistic Circuits. Meihua Dang, Pasha Khosravi, Yitao Liang, Antonio Vergari, Guy Van den Broeck |
| 2021 | Justicia: A Stochastic SAT Approach to Formally Verify Fairness. Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel |
| 2021 | K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management. Jonathan Ferrer-Mestres, Thomas G. Dietterich, Olivier Buffet, Iadine Chades |
| 2021 | KAAPA: Knowledge Aware Answers from PDF Analysis. Nicolas R. Fauceglia, Mustafa Canim, Alfio Gliozzo, Jennifer J. Liang, Nancy Xin Ru Wang, Douglas Burdick, Nandana Mihindukulasooriya, Vittorio Castelli, Guy Feigenblat, David Konopnicki, Yannis Katsis, Radu Florian, Yunyao Li, Salim Roukos, Avirup Sil |
| 2021 | KAN: Knowledge-aware Attention Network for Fake News Detection. Yaqian Dun, Kefei Tu, Chen Chen, Chunyan Hou, Xiaojie Yuan |
| 2021 | KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification. Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He |
| 2021 | KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu |
| 2021 | KGDet: Keypoint-Guided Fashion Detection. Shenhan Qian, Dongze Lian, Binqiang Zhao, Tong Liu, Bohui Zhu, Hai Li, Shenghua Gao |
| 2021 | Kernel-convoluted Deep Neural Networks with Data Augmentation. Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik |
| 2021 | Keyword-Guided Neural Conversational Model. Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao |
| 2021 | Knocking in the Game of Gin Rummy. Ryzeson C. Maravich, Taylor C. Neller, Todd W. Neller |
| 2021 | Knowledge Refactoring for Inductive Program Synthesis. Sebastijan Dumancic, Tias Guns, Andrew Cropper |
| 2021 | Knowledge Refinery: Learning from Decoupled Label. Qianggang Ding, Sifan Wu, Tao Dai, Hao Sun, Jiadong Guo, Zhang-Hua Fu, Shutao Xia |
| 2021 | Knowledge-Base Degrees of Inconsistency: Complexity and Counting. Johannes Klaus Fichte, Markus Hecher, Arne Meier |
| 2021 | Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions. Siyu Ren, Kenny Q. Zhu |
| 2021 | Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo |
| 2021 | Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates |
| 2021 | Knowledge-Guided Object Discovery with Acquired Deep Impressions. Jinyang Yuan, Bin Li, Xiangyang Xue |
| 2021 | Knowledge-aware Coupled Graph Neural Network for Social Recommendation. Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye |
| 2021 | Knowledge-aware Dialogue Generation with Hybrid Attention (Student Abstract). Yaru Zhao, Bo Cheng, Yingying Zhang |
| 2021 | Knowledge-aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification. Jinhua Du, Yan Huang, Karo Moilanen |
| 2021 | Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity. Binling Nie, Ruixue Ding, Pengjun Xie, Fei Huang, Chen Qian, Luo Si |
| 2021 | Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering. Kaixin Ma, Filip Ilievski, Jonathan Francis, Yonatan Bisk, Eric Nyberg, Alessandro Oltramari |
| 2021 | Knowledge-driven Natural Language Understanding of English Text and its Applications. Kinjal Basu, Sarat Chandra Varanasi, Farhad Shakerin, Joaquín Arias, Gopal Gupta |
| 2021 | LAMS: A Location-aware Approach for Multimodal Summarization (Student Abstract). Zhengkun Zhang, Jun Wang, Zhe Sun, Zhenglu Yang |
| 2021 | LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract). Chenyang Wu, Rui Kong, Guoyu Yang, Xianghan Kong, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu |
| 2021 | LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints. Qingyang Tan, Zherong Pan, Dinesh Manocha |
| 2021 | LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching. Boer Lyu, Lu Chen, Su Zhu, Kai Yu |
| 2021 | LIREx: Augmenting Language Inference with Relevant Explanations. Xinyan Zhao, V. G. Vinod Vydiswaran |
| 2021 | LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding. Hao Fu, Shaojun Zhou, Qihong Yang, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li |
| 2021 | LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection. Kai Jiang, Weiying Xie, Jie Lei, Tao Jiang, Yunsong Li |
| 2021 | LRSC: Learning Representations for Subspace Clustering. Changsheng Li, Chen Yang, Bo Liu, Ye Yuan, Guoren Wang |
| 2021 | Label Confusion Learning to Enhance Text Classification Models. Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu |
| 2021 | Land Deformation Prediction via Slope-Aware Graph Neural Networks. Fan Zhou, Rongfan Li, Goce Trajcevski, Kunpeng Zhang |
| 2021 | Landmark Generation in HTN Planning. Daniel Höller, Pascal Bercher |
| 2021 | Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling. Zhouyuan Huo, Bin Gu, Heng Huang |
| 2021 | Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu |
| 2021 | Large Norms of CNN Layers Do Not Hurt Adversarial Robustness. Youwei Liang, Dong Huang |
| 2021 | Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition. Hangwei Qian, Sinno Jialin Pan, Chunyan Miao |
| 2021 | Learnable Dynamic Temporal Pooling for Time Series Classification. Dongha Lee, Seonghyeon Lee, Hwanjo Yu |
| 2021 | Learned Bi-Resolution Image Coding using Generalized Octave Convolutions. Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu |
| 2021 | Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding. Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin |
| 2021 | Learning Accurate and Interpretable Decision Rule Sets from Neural Networks. Litao Qiao, Weijia Wang, Bill Lin |
| 2021 | Learning Adjustment Sets from Observational and Limited Experimental Data. Sofia Triantafillou, Gregory F. Cooper |
| 2021 | Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts. Eric Greenwald, Maxyn Leitner, Ning Wang |
| 2021 | Learning Augmented Methods for Matching: Improving Invasive Species Management and Urban Mobility. Johan Bjorck, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla P. Gomes |
| 2021 | Learning Branching Heuristics for Propositional Model Counting. Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris J. Maddison, Roger B. Grosse, Sanjit A. Seshia, Fahiem Bacchus |
| 2021 | Learning Complex 3D Human Self-Contact. Mihai Fieraru, Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Vlad Olaru, Cristian Sminchisescu |
| 2021 | Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior. Anh Tong, Toan M. Tran, Hung Bui, Jaesik Choi |
| 2021 | Learning Comprehensive Motion Representation for Action Recognition. Mingyu Wu, Boyuan Jiang, Donghao Luo, Junchi Yan, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xiaokang Yang |
| 2021 | Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training. Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cícero Nogueira dos Santos, Bing Xiang |
| 2021 | Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks. Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin |
| 2021 | Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation. Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu |
| 2021 | Learning Deep Generative Models for Queuing Systems. César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez |
| 2021 | Learning Disentangled Representation for Fair Facial Attribute Classification via Fairness-aware Information Alignment. Sungho Park, Sunhee Hwang, Dohyung Kim, Hyeran Byun |
| 2021 | Learning Dynamics Models with Stable Invariant Sets. Naoya Takeishi, Yoshinobu Kawahara |
| 2021 | Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. Jianwen Xie, Zilong Zheng, Ping Li |
| 2021 | Learning Flexibly Distributional Representation for Low-quality 3D Face Recognition. Zihui Zhang, Cuican Yu, Shuang Xu, Huibin Li |
| 2021 | Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers. Philipp Geiger, Christoph-Nikolas Straehle |
| 2021 | Learning General Planning Policies from Small Examples Without Supervision. Guillem Francès, Blai Bonet, Hector Geffner |
| 2021 | Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning. Rushang Karia, Siddharth Srivastava |
| 2021 | Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. Mutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, Yu Qiao |
| 2021 | Learning Graph Neural Networks with Approximate Gradient Descent. Qunwei Li, Shaofeng Zou, Wenliang Zhong |
| 2021 | Learning Graphons via Structured Gromov-Wasserstein Barycenters. Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha |
| 2021 | Learning Hybrid Relationships for Person Re-identification. Shuang Liu, Wenmin Huang, Zhong Zhang |
| 2021 | Learning Intact Features by Erasing-Inpainting for Few-shot Classification. Junjie Li, Zilei Wang, Xiaoming Hu |
| 2021 | Learning Interpretable Models for Coupled Networks Under Domain Constraints. Hongyuan You, Sikun Lin, Ambuj K. Singh |
| 2021 | Learning Intuitive Physics with Multimodal Generative Models. Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin, David Meger, Gregory Dudek |
| 2021 | Learning Invariant Representations using Inverse Contrastive Loss. Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh |
| 2021 | Learning Light-Weight Translation Models from Deep Transformer. Bei Li, Ziyang Wang, Hui Liu, Quan Du, Tong Xiao, Chunliang Zhang, Jingbo Zhu |
| 2021 | Learning Local Neighboring Structure for Robust 3D Shape Representation. Zhongpai Gao, Junchi Yan, Guangtao Zhai, Juyong Zhang, Yiyan Yang, Xiaokang Yang |
| 2021 | Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis. Wenmeng Yu, Hua Xu, Ziqi Yuan, Jiele Wu |
| 2021 | Learning Model-Based Privacy Protection under Budget Constraints. Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2021 | Learning Modulated Loss for Rotated Object Detection. Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Yue Guo |
| 2021 | Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon |
| 2021 | Learning Omni-Frequency Region-adaptive Representations for Real Image Super-Resolution. Xin Li, Xin Jin, Tao Yu, Simeng Sun, Yingxue Pang, Zhizheng Zhang, Zhibo Chen |
| 2021 | Learning Precise Temporal Point Event Detection with Misaligned Labels. Julien Schroeter, Kirill A. Sidorov, A. David Marshall |
| 2021 | Learning Prediction Intervals for Model Performance. Benjamin Elder, Matthew Arnold, Anupama Murthi, Jirí Navrátil |
| 2021 | Learning Representations for Incomplete Time Series Clustering. Qianli Ma, ChuXin Chen, Sen Li, Garrison W. Cottrell |
| 2021 | Learning Rewards From Linguistic Feedback. Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths |
| 2021 | Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection. Xudong Yan, Huaidong Zhang, Xuemiao Xu, Xiaowei Hu, Pheng-Ann Heng |
| 2021 | Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases. Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Püschel |
| 2021 | Learning Task-Distribution Reward Shaping with Meta-Learning. Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu |
| 2021 | Learning Term Embeddings for Lexical Taxonomies. Jingping Liu, Menghui Wang, Chao Wang, Jiaqing Liang, Lihan Chen, Haiyun Jiang, Yanghua Xiao, Yunwen Chen |
| 2021 | Learning To Scale Mixed-Integer Programs. Timo Berthold, Gregor Hendel |
| 2021 | Learning Visual Context for Group Activity Recognition. Hangjie Yuan, Dong Ni |
| 2021 | Learning a Few-shot Embedding Model with Contrastive Learning. Chen Liu, Yanwei Fu, Chengming Xu, Siqian Yang, Jilin Li, Chengjie Wang, Li Zhang |
| 2021 | Learning a Gradient-free Riemannian Optimizer on Tangent Spaces. Xiaomeng Fan, Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi |
| 2021 | Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues. Ruijian Xu, Chongyang Tao, Daxin Jiang, Xueliang Zhao, Dongyan Zhao, Rui Yan |
| 2021 | Learning by Fixing: Solving Math Word Problems with Weak Supervision. Yining Hong, Qing Li, Daniel Ciao, Siyuan Huang, Song-Chun Zhu |
| 2021 | Learning from Crowds by Modeling Common Confusions. Zhendong Chu, Jing Ma, Hongning Wang |
| 2021 | Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks. Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang |
| 2021 | Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks. Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L. Zhang |
| 2021 | Learning from Noisy Labels with Complementary Loss Functions. Deng-Bao Wang, Yong Wen, Lujia Pan, Min-Ling Zhang |
| 2021 | Learning from eXtreme Bandit Feedback. Romain Lopez, Inderjit S. Dhillon, Michael I. Jordan |
| 2021 | Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration. Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz |
| 2021 | Learning of Structurally Unambiguous Probabilistic Grammars. Dolav Nitay, Dana Fisman, Michal Ziv-Ukelson |
| 2021 | Learning the Parameters of Bayesian Networks from Uncertain Data. Segev Wasserkrug, Radu Marinescu, Sergey Zeltyn, Evgeny Shindin, Yishai A. Feldman |
| 2021 | Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning. Fengxiang Yang, Zhun Zhong, Hong Liu, Zheng Wang, Zhiming Luo, Shaozi Li, Nicu Sebe, Shin'ichi Satoh |
| 2021 | Learning to Augment for Data-scarce Domain BERT Knowledge Distillation. Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen |
| 2021 | Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems. Shohei Enomoto, Takeharu Eda |
| 2021 | Learning to Check Contract Inconsistencies. Shuo Zhang, Junzhou Zhao, Pinghui Wang, Nuo Xu, Yang Yang, Yiting Liu, Yi Huang, Junlan Feng |
| 2021 | Learning to Copy Coherent Knowledge for Response Generation. Jiaqi Bai, Ze Yang, Xinnian Liang, Wei Wang, Zhoujun Li |
| 2021 | Learning to Count via Unbalanced Optimal Transport. Zhiheng Ma, Xing Wei, Xiaopeng Hong, Hui Lin, Yunfeng Qiu, Yihong Gong |
| 2021 | Learning to Enhance Visual Quality via Hyperspectral Domain Mapping (Student Abstract). Harsh Sinha, Aditya Mehta, Murari Mandal, Pratik Narang |
| 2021 | Learning to Pre-train Graph Neural Networks. Yuanfu Lu, Xunqiang Jiang, Yuan Fang, Chuan Shi |
| 2021 | Learning to Purify Noisy Labels via Meta Soft Label Corrector. Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng |
| 2021 | Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi |
| 2021 | Learning to Recommend from Sparse Data via Generative User Feedback. Wenlin Wang |
| 2021 | Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search. Taoan Huang, Sven Koenig, Bistra Dilkina |
| 2021 | Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang |
| 2021 | Learning to Reweight with Deep Interactions. Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li |
| 2021 | Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control. Yu-Wei Chao, Jimei Yang, Weifeng Chen, Jia Deng |
| 2021 | Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search. Li-Cheng Lan, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh |
| 2021 | Learning to Truncate Ranked Lists for Information Retrieval. Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2021 | Learning with Group Noise. Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han |
| 2021 | Learning with Retrospection. Xiang Deng, Zhongfei Zhang |
| 2021 | Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs. Aria HasanzadeZonuzy, Archana Bura, Dileep M. Kalathil, Srinivas Shakkottai |
| 2021 | Lenient Regret for Multi-Armed Bandits. Nadav Merlis, Shie Mannor |
| 2021 | Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning. Yongrui Chen, Xinnan Guo, Chaojie Wang, Jian Qiu, Guilin Qi, Meng Wang, Huiying Li |
| 2021 | Leveraging on Deep Reinforcement Learning for Autonomous Safe Decision-Making in Highway On-ramp Merging (Student Abstract). Zine El Abidine Kherroubi, Samir Aknine, Rebiha Bacha |
| 2021 | Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance. Guanhua Chen, Yun Chen, Victor O. K. Li |
| 2021 | Lifelong Multi-Agent Path Finding in Large-Scale Warehouses. Jiaoyang Li, Andrew Tinka, Scott Kiesel, Joseph W. Durham, T. K. Satish Kumar, Sven Koenig |
| 2021 | Lifelong and Continual Learning Dialogue Systems: Learning during Conversation. Bing Liu, Sahisnu Mazumder |
| 2021 | LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification. Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang |
| 2021 | Linearly Replaceable Filters for Deep Network Channel Pruning. Donggyu Joo, Eojindl Yi, Sunghyun Baek, Junmo Kim |
| 2021 | Lipschitz Lifelong Reinforcement Learning. Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman |
| 2021 | Liquid Time-constant Networks. Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu |
| 2021 | Listen, Understand and Translate: Triple Supervision Decouples End-to-end Speech-to-text Translation. Qianqian Dong, Rong Ye, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li |
| 2021 | Living Without Beth and Craig: Definitions and Interpolants in Description Logics with Nominals and Role Inclusions. Alessandro Artale, Jean Christoph Jung, Andrea Mazzullo, Ana Ozaki, Frank Wolter |
| 2021 | Local Differential Privacy for Bayesian Optimization. Xingyu Zhou, Jian Tan |
| 2021 | Local Relation Learning for Face Forgery Detection. Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Jilin Li, Rongrong Ji |
| 2021 | Local Search for Diversified Top-k s-plex Search Problem (Student Abstract). Jun Wu, Minghao Yin |
| 2021 | Localization in the Crowd with Topological Constraints. Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen |
| 2021 | Locate Globally, Segment Locally: A Progressive Architecture With Knowledge Review Network for Salient Object Detection. Binwei Xu, Haoran Liang, Ronghua Liang, Peng Chen |
| 2021 | Logic Guided Genetic Algorithms (Student Abstract). Dhananjay Ashok, Joseph Scott, Sebastian Johann Wetzel, Maysum Panju, Vijay Ganesh |
| 2021 | Longitudinal Deep Kernel Gaussian Process Regression. Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G. Honavar |
| 2021 | Looking Wider for Better Adaptive Representation in Few-Shot Learning. Jiabao Zhao, Yifan Yang, Xin Lin, Jing Yang, Liang He |
| 2021 | Loop Estimator for Discounted Values in Markov Reward Processes. Falcon Z. Dai, Matthew R. Walter |
| 2021 | Low-Rank Registration Based Manifolds for Convection-Dominated PDEs. Rambod Mojgani, Maciej Balajewicz |
| 2021 | MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection. Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson |
| 2021 | MANGO: A Mask Attention Guided One-Stage Scene Text Spotter. Liang Qiao, Ying Chen, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu |
| 2021 | MARTA: Leveraging Human Rationales for Explainable Text Classification. Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, Philippe Cudré-Mauroux |
| 2021 | MASKER: Masked Keyword Regularization for Reliable Text Classification. Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin |
| 2021 | MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification. Te-Lin Wu, Shikhar Singh, Sayan Paul, Gully A. Burns, Nanyun Peng |
| 2021 | MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces. Linhai Zhang, Deyu Zhou, Yulan He, Zeng Yang |
| 2021 | MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui |
| 2021 | MIEHDR CNN: Main Image Enhancement based Ghost-Free High Dynamic Range Imaging using Dual-Lens Systems. Xuan Dong, Xiaoyan Hu, Weixin Li, Xiaojie Wang, Yunhong Wang |
| 2021 | MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun |
| 2021 | MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling. Sean Welleck, Kyunghyun Cho |
| 2021 | MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract). Nan Xie, Yuexian Hou |
| 2021 | MMKE: A Multi-Model Knowledge Extraction System from Unstructured Texts. Qian-Wen Zhang, Zhao Yan, Tianyang Zhao, Shi-Wei Zhang, Meng Yao, Meng-Liang Rao, Yunbo Cao |
| 2021 | MOTIF-Driven Contrastive Learning of Graph Representations. Arjun Subramonian |
| 2021 | MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization. Baohang Zhou, Xiangrui Cai, Ying Zhang, Wenya Guo, Xiaojie Yuan |
| 2021 | MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records. Zhen Xu, David R. So, Andrew M. Dai |
| 2021 | MVFNet: Multi-View Fusion Network for Efficient Video Recognition. Wenhao Wu, Dongliang He, Tianwei Lin, Fu Li, Chuang Gan, Errui Ding |
| 2021 | Maintenance of Social Commitments in Multiagent Systems. Pankaj R. Telang, Munindar P. Singh, Neil Yorke-Smith |
| 2021 | Majority Opinion Diffusion in Social Networks: An Adversarial Approach. Ahad N. Zehmakan |
| 2021 | Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan |
| 2021 | MangaGAN: Unpaired Photo-to-Manga Translation Based on The Methodology of Manga Drawing. Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Jiahe Cui, Ji Wan |
| 2021 | Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao |
| 2021 | Margin of Victory in Tournaments: Structural and Experimental Results. Markus Brill, Ulrike Schmidt-Kraepelin, Warut Suksompong |
| 2021 | Market-Based Explanations of Collective Decisions. Dominik Peters, Grzegorz Pierczynski, Nisarg Shah, Piotr Skowron |
| 2021 | Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances. Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake H. Lee, Lukas Mandrake |
| 2021 | Matching on Sets: Conquer Occluded Person Re-identification Without Alignment. Mengxi Jia, Xinhua Cheng, Yunpeng Zhai, Shijian Lu, Siwei Ma, Yonghong Tian, Jian Zhang |
| 2021 | Maximin Fairness with Mixed Divisible and Indivisible Goods. Xiaohui Bei, Shengxin Liu, Xinhang Lu, Hongao Wang |
| 2021 | Maximum Roaming Multi-Task Learning. Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga |
| 2021 | MeInGame: Create a Game Character Face from a Single Portrait. Jiangke Lin, Yi Yuan, Zhengxia Zou |
| 2021 | Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning. Shangtong Zhang, Bo Liu, Shimon Whiteson |
| 2021 | Measuring Dependence with Matrix-based Entropy Functional. Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe |
| 2021 | Measuring Vegetation Density in Marsh Grass Photographs Using Deep Neural Networks (Student Abstract). Lucas Welch, Xudong Liu |
| 2021 | Melodic Phrase Attention Network for Symbolic Data-based Music Genre Classification (Student Abstract). Li Li, Rui Zhang, Zhenyu Wang |
| 2021 | Membership Privacy for Machine Learning Models Through Knowledge Transfer. Virat Shejwalkar, Amir Houmansadr |
| 2021 | Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients. Zijian Lei, Liang Lan |
| 2021 | Memory-Augmented Image Captioning. Zhengcong Fei |
| 2021 | Memory-Gated Recurrent Networks. Yaquan Zhang, Qi Wu, Nanbo Peng, Min Dai, Jing Zhang, Hu Wang |
| 2021 | Mental Actions and Explainability in Kripkean Semantics: What Else do I Know? (Student Abstract). Shikha Singh, Deepak Khemani |
| 2021 | Mercer Features for Efficient Combinatorial Bayesian Optimization. Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa |
| 2021 | Merging Statistical Feature via Adaptive Gate for Improved Text Classification. Xianming Li, Zongxi Li, Haoran Xie, Qing Li |
| 2021 | Meta Label Correction for Noisy Label Learning. Guoqing Zheng, Ahmed Hassan Awadallah, Susan T. Dumais |
| 2021 | Meta Learning for Causal Direction. Jean-François Ton, Dino Sejdinovic, Kenji Fukumizu |
| 2021 | Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao |
| 2021 | Meta-Learning Effective Exploration Strategies for Contextual Bandits. Amr Sharaf, Hal Daumé III |
| 2021 | Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting. Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio |
| 2021 | Meta-Transfer Learning for Low-Resource Abstractive Summarization. Yi-Syuan Chen, Hong-Han Shuai |
| 2021 | MetaAugment: Sample-Aware Data Augmentation Policy Learning. Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li |
| 2021 | Metrics and Continuity in Reinforcement Learning. Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro |
| 2021 | Mind the Gap: Cake Cutting With Separation. Edith Elkind, Erel Segal-Halevi, Warut Suksompong |
| 2021 | Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval. Qingchao Chen, Yang Liu, Samuel Albanie |
| 2021 | MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation. Yu Qiu, Yun Liu, Shijie Li, Jing Xu |
| 2021 | Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. Marc Rigter, Bruno Lacerda, Nick Hawes |
| 2021 | Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service. Amutheezan Sivagnanam, Afiya Ayman, Michael Wilbur, Philip Pugliese, Abhishek Dubey, Aron Laszka |
| 2021 | Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels. Siqi Yang, Jun Zhang, Junzhou Huang, Brian C. Lovell, Xiao Han |
| 2021 | Minimum Robust Multi-Submodular Cover for Fairness. Lan N. Nguyen, My T. Thai |
| 2021 | Mining EL Bases with Adaptable Role Depth. Ricardo Guimarães, Ana Ozaki, Cosimo Persia, Baris Sertkaya |
| 2021 | Mining Intelligent Patterns using SVAC for Precision Agriculture and Optimizing Irrigation (Student Abstract). Vishal Vinod, Vipul Gaurav, Tushar Sharma, Savita Choudhary |
| 2021 | Mitigating Political Bias in Language Models through Reinforced Calibration. Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi |
| 2021 | Mobile-based Clock Drawing Test for Detecting Early Signs of Dementia. Hongchao Jiang, Yanci Zhang, Zhiwei Zeng, Jun Ji, Yu Wang, Ying Chi, Chunyan Miao |
| 2021 | Model AI Assignments 2021. Todd W. Neller, Nathan Sprague, John Maraist, Lisa Zhang, Pouria Fewzee, Duri Long, Jonathan Moon, Brian Magerko, Alex Leto, Toni Lefton, Tom Williams |
| 2021 | Model Uncertainty Guides Visual Object Tracking. Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft |
| 2021 | Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans. Soumya Chatterjee, Pradeep Shenoy |
| 2021 | Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games. Gabriele Farina, Tuomas Sandholm |
| 2021 | Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation. Kate Donahue, Jon M. Kleinberg |
| 2021 | Modeling Deep Learning Based Privacy Attacks on Physical Mail. Bingyao Huang, Ruyi Lian, Dimitris Samaras, Haibin Ling |
| 2021 | Modeling Expert Knowledge in a Heuristic-Based Gin Rummy Agent. Sarah Larkin, William Collicott, Jason Hiebel |
| 2021 | Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction. Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang |
| 2021 | Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract). Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu |
| 2021 | Modeling Voters in Multi-Winner Approval Voting. Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, K. Brent Venable |
| 2021 | Modeling the Compatibility of Stem Tracks to Generate Music Mashups. Jiawen Huang, Ju-Chiang Wang, Jordan B. L. Smith, Xuchen Song, Yuxuan Wang |
| 2021 | Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He |
| 2021 | Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks. Rui Cheng, Qing Li |
| 2021 | Modeling the Probabilistic Distribution of Unlabeled Data for One-shot Medical Image Segmentation. Yuhang Ding, Xin Yu, Yi Yang |
| 2021 | Modular Graph Transformer Networks for Multi-Label Image Classification. Hoang D. Nguyen, Xuan-Son Vu, Duc-Trong Le |
| 2021 | MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation. Maksim Kuznetsov, Daniil Polykovskiy |
| 2021 | More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation. Mauajama Firdaus, Hardik Chauhan, Asif Ekbal, Pushpak Bhattacharyya |
| 2021 | Motion-blurred Video Interpolation and Extrapolation. Dawit Mureja Argaw, Junsik Kim, François Rameau, In So Kweon |
| 2021 | Movie Summarization via Sparse Graph Construction. Pinelopi Papalampidi, Frank Keller, Mirella Lapata |
| 2021 | Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang |
| 2021 | Multi-Dimensional Explanation of Target Variables from Documents. Diego Antognini, Claudiu Musat, Boi Faltings |
| 2021 | Multi-Document Transformer for Personality Detection. Feifan Yang, Xiaojun Quan, Yunyi Yang, Jianxing Yu |
| 2021 | Multi-Domain Multi-Task Rehearsal for Lifelong Learning. Fan Lyu, Shuai Wang, Wei Feng, Zihan Ye, Fuyuan Hu, Song Wang |
| 2021 | Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering. Pavel Surynek |
| 2021 | Multi-Layer Networks for Ensemble Precipitation Forecasts Postprocessing. Fengyang Xu, Guanbin Li, Yunfei Du, Zhiguang Chen, Yutong Lu |
| 2021 | Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical Guarantee. Chao Feng, Chao Qian |
| 2021 | Multi-Party Campaigning. Martin Koutecký, Nimrod Talmon |
| 2021 | Multi-Proxy Wasserstein Classifier for Image Classification. Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh |
| 2021 | Multi-Scale Games: Representing and Solving Games on Networks with Group Structure. Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu |
| 2021 | Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition. Zhan Chen, Sicheng Li, Bing Yang, Qinghan Li, Hong Liu |
| 2021 | Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis. Sang-Hoon Lee, Hyun-Wook Yoon, Hyeong-Rae Noh, Ji-Hoon Kim, Seong-Whan Lee |
| 2021 | Multi-Task Recurrent Modular Networks. Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang |
| 2021 | Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation. Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun |
| 2021 | Multi-View Information-Bottleneck Representation Learning. Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu |
| 2021 | Multi-View Representation Learning with Manifold Smoothness. Shu Li, Wei Wang, Wen-Tao Li, Pan Chen |
| 2021 | Multi-agent Reinforcement Learning for Decentralized Coalition Formation Games. Kshitija Taywade |
| 2021 | Multi-label Few-shot Learning with Semantic Inference (Student Abstract). Zhen Wang, Yiqun Duan, Liu Liu, Dacheng Tao |
| 2021 | Multi-level Distance Regularization for Deep Metric Learning. Yonghyun Kim, Wonpyo Park |
| 2021 | Multi-modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance. Dong Zhang, Suzhong Wei, Shoushan Li, Hanqian Wu, Qiaoming Zhu, Guodong Zhou |
| 2021 | Multi-modal Multi-label Emotion Recognition with Heterogeneous Hierarchical Message Passing. Dong Zhang, Xincheng Ju, Wei Zhang, Junhui Li, Shoushan Li, Qiaoming Zhu, Guodong Zhou |
| 2021 | Multi-modal User Intent Classification Under the Scenario of Smart Factory (Student Abstract). Yu-Ching Chiu, Bo-Hao Chang, Tzu-yu Chen, Cheng-Fu Yang, Nanyi Bi, Richard Tzong-Han Tsai, Hung-yi Lee, Jane Yung-jen Hsu |
| 2021 | Multi-scale Graph Fusion for Co-saliency Detection. Rongyao Hu, Zhenyun Deng, Xiaofeng Zhu |
| 2021 | Multi-task Learning by Leveraging the Semantic Information. Fan Zhou, Brahim Chaib-draa, Boyu Wang |
| 2021 | Multi-type Disentanglement without Adversarial Training. Lei Sha, Thomas Lukasiewicz |
| 2021 | Multi-view Inference for Relation Extraction with Uncertain Knowledge. Bo Li, Wei Ye, Canming Huang, Shikun Zhang |
| 2021 | MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi |
| 2021 | Multidimensional Uncertainty-Aware Evidential Neural Networks. Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen |
| 2021 | Multilingual Transfer Learning for QA using Translation as Data Augmentation. Mihaela A. Bornea, Lin Pan, Sara Rosenthal, Radu Florian, Avirup Sil |
| 2021 | Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition. Bruce X. B. Yu, Yan Liu, Keith C. C. Chan |
| 2021 | Multinomial Logit Contextual Bandits: Provable Optimality and Practicality. Min-hwan Oh, Garud Iyengar |
| 2021 | Multiple Kernel Clustering with Kernel k-Means Coupled Graph Tensor Learning. Zhenwen Ren, Quansen Sun, Dong Wei |
| 2021 | NASGEM: Neural Architecture Search via Graph Embedding Method. Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen |
| 2021 | NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogério Feris, David S. Kung, Bishwaranjan Bhattacharjee |
| 2021 | NEAP-F: Network Epoch Accuracy Prediction Framework (Student Abstract). Arushi Chauhan, Mayank Vatsa, Richa Singh |
| 2021 | NEO: A System for Identifying New Emerging Occupation from Job Ads. Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso |
| 2021 | Narrative Plan Generation with Self-Supervised Learning. Mihai Polceanu, Julie Porteous, Alan Lindsay, Marc Cavazza |
| 2021 | Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts. Hanmeng Liu, Leyang Cui, Jian Liu, Yue Zhang |
| 2021 | NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation. Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu |
| 2021 | Near Lossless Transfer Learning for Spiking Neural Networks. Zhanglu Yan, Jun Zhou, Weng-Fai Wong |
| 2021 | Near-Optimal MNL Bandits Under Risk Criteria. Guangyu Xi, Chao Tao, Yuan Zhou |
| 2021 | Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions. Kei Takemura, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi |
| 2021 | Nearest Neighbor Classifier Embedded Network for Active Learning. Fang Wan, Tianning Yuan, Mengying Fu, Xiangyang Ji, Qingming Huang, Qixiang Ye |
| 2021 | Nearly Linear-Time, Parallelizable Algorithms for Non-Monotone Submodular Maximization. Alan Kuhnle |
| 2021 | Necessarily Optimal One-Sided Matchings. Hadi Hosseini, Vijay Menon, Nisarg Shah, Sujoy Sikdar |
| 2021 | Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search with General Bounding Functions. Jingwei Chen, Nathan R. Sturtevant |
| 2021 | Neighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection. Li Cheng, Yijie Wang, Xinwang Liu |
| 2021 | Nested Named Entity Recognition with Partially-Observed TreeCRFs. Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang |
| 2021 | Network Satisfaction for Symmetric Relation Algebras with a Flexible Atom. Manuel Bodirsky, Simon Knäuer |
| 2021 | Neural Analogical Matching. Maxwell Crouse, Constantine Nakos, Ibrahim Abdelaziz, Kenneth D. Forbus |
| 2021 | Neural Architecture Search as Sparse Supernet. Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool |
| 2021 | Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs. Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati |
| 2021 | Neural Relational Inference with Efficient Message Passing Mechanisms. Siyuan Chen, Jiahai Wang, Guoqing Li |
| 2021 | Neural Sentence Ordering Based on Constraint Graphs. Yutao Zhu, Kun Zhou, Jian-Yun Nie, Shengchao Liu, Zhicheng Dou |
| 2021 | Neural Sentence Simplification with Semantic Dependency Information. Zhe Lin, Xiaojun Wan |
| 2021 | Neural Sequence-to-grid Module for Learning Symbolic Rules. Segwang Kim, Hyoungwook Nam, Joonyoung Kim, Kyomin Jung |
| 2021 | Neural Utility Functions. Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li |
| 2021 | Neural-Symbolic Integration: A Compositional Perspective. Efthymia Tsamoura, Timothy M. Hospedales, Loizos Michael |
| 2021 | NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction. Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao |
| 2021 | Neuro-Symbolic Techniques for Description Logic Reasoning (Student Abstract). Gunjan Singh, Sutapa Mondal, Sumit Bhatia, Raghava Mutharaju |
| 2021 | New Length Dependent Algorithm for Maximum Satisfiability Problem. Vasily Alferov, Ivan Bliznets |
| 2021 | News Content Completion with Location-Aware Image Selection. Zhengkun Zhang, Jun Wang, Adam Jatowt, Zhe Sun, Shao-Ping Lu, Zhenglu Yang |
| 2021 | Newton Optimization on Helmholtz Decomposition for Continuous Games. Giorgia Ramponi, Marcello Restelli |
| 2021 | Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning. Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex M. Bronstein |
| 2021 | Non-Autoregressive Coarse-to-Fine Video Captioning. Bang Yang, Yuexian Zou, Fenglin Liu, Can Zhang |
| 2021 | Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling. Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei Zhang |
| 2021 | Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation. Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang |
| 2021 | Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks. Antoine Ledent, Waleed Mustafa, Yunwen Lei, Marius Kloft |
| 2021 | NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem. Jiejiang Chen, Shaowei Cai, Shiwei Pan, Yiyuan Wang, Qingwei Lin, Mengyu Zhao, Minghao Yin |
| 2021 | Nutri-bullets: Summarizing Health Studies by Composing Segments. Darsh J. Shah, Lili Yu, Tao Lei, Regina Barzilay |
| 2021 | Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention. Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh |
| 2021 | OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization. Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin |
| 2021 | OPRA: An Open-Source Online Preference Reporting and Aggregation System. Yiwei Chen, Jingwen Qian, Junming Wang, Lirong Xia, Gavriel Zahavi |
| 2021 | OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto |
| 2021 | Object Relation Attention for Image Paragraph Captioning. Li-Chuan Yang, Chih-Yuan Yang, Jane Yung-jen Hsu |
| 2021 | Object-Centric Image Generation from Layouts. Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R. Devon Hjelm, Shikhar Sharma |
| 2021 | Objective-Based Hierarchical Clustering of Deep Embedding Vectors. Stanislav Naumov, Grigory Yaroslavtsev, Dmitrii Avdiukhin |
| 2021 | On Continuous Local BDD-Based Search for Hybrid SAT Solving. Anastasios Kyrillidis, Moshe Y. Vardi, Zhiwei Zhang |
| 2021 | On Convergence of Gradient Expected Sarsa(λ). Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan |
| 2021 | On Estimating Recommendation Evaluation Metrics under Sampling. Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu |
| 2021 | On Exploiting Hitting Sets for Model Reconciliation. Stylianos Loukas Vasileiou, Alessandro Previti, William Yeoh |
| 2021 | On Fair Division under Heterogeneous Matroid Constraints. Amitay Dror, Michal Feldman, Erel Segal-Halevi |
| 2021 | On Fair and Efficient Allocations of Indivisible Goods. Aniket Murhekar, Jugal Garg |
| 2021 | On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. Eoin M. Kenny, Mark T. Keane |
| 2021 | On Learning Deep Models with Imbalanced Data Distribution. Puspita Majumdar, Richa Singh, Mayank Vatsa |
| 2021 | On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif |
| 2021 | On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems. Ting-Jui Chang, Shahin Shahrampour |
| 2021 | On Scalar Embedding of Relative Positions in Attention Models. Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen |
| 2021 | On the Adequacy of Untuned Warmup for Adaptive Optimization. Jerry Ma, Denis Yarats |
| 2021 | On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-player Games. Zhengyang Liu, Jiawei Li, Xiaotie Deng |
| 2021 | On the Complexity of Finding Justifications for Collective Decisions. Arthur Boixel, Ronald de Haan |
| 2021 | On the Complexity of Sum-of-Products Problems over Semirings. Thomas Eiter, Rafael Kiesel |
| 2021 | On the Convergence of Communication-Efficient Local SGD for Federated Learning. Hongchang Gao, An Xu, Heng Huang |
| 2021 | On the Importance of Word Order Information in Cross-lingual Sequence Labeling. Zihan Liu, Genta Indra Winata, Samuel Cahyawijaya, Andrea Madotto, Zhaojiang Lin, Pascale Fung |
| 2021 | On the Optimal Efficiency of A* with Dominance Pruning. Álvaro Torralba |
| 2021 | On the PTAS for Maximin Shares in an Indivisible Mixed Manna. Rucha Kulkarni, Ruta Mehta, Setareh Taki |
| 2021 | On the Softmax Bottleneck of Recurrent Language Models. Dwarak Govind Parthiban, Yongyi Mao, Diana Inkpen |
| 2021 | On the Tractability of SHAP Explanations. Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu |
| 2021 | On the Verification of Neural ODEs with Stochastic Guarantees. Sophie Gruenbacher, Ramin M. Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu |
| 2021 | On-line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State Spaces. Leonardo Lamanna, Alfonso Emilio Gerevini, Alessandro Saetti, Luciano Serafini, Paolo Traverso |
| 2021 | On-the-fly Synthesis for LTL over Finite Traces. Shengping Xiao, Jianwen Li, Shufang Zhu, Yingying Shi, Geguang Pu, Moshe Y. Vardi |
| 2021 | One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline. Michele Bevilacqua, Rexhina Blloshmi, Roberto Navigli |
| 2021 | One for More: Selecting Generalizable Samples for Generalizable ReID Model. Enwei Zhang, Xinyang Jiang, Hao Cheng, Ancong Wu, Fufu Yu, Ke Li, Xiaowei Guo, Feng Zheng, Wei-Shi Zheng, Xing Sun |
| 2021 | One-shot Face Reenactment Using Appearance Adaptive Normalization. Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou |
| 2021 | One-shot Graph Neural Architecture Search with Dynamic Search Space. Yanxi Li, Zean Wen, Yunhe Wang, Chang Xu |
| 2021 | Online 3D Bin Packing with Constrained Deep Reinforcement Learning. Hang Zhao, Qijin She, Chenyang Zhu, Yin Yang, Kai Xu |
| 2021 | Online Action Recognition. Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras, Guillem Alenyà |
| 2021 | Online Class-Incremental Continual Learning with Adversarial Shapley Value. Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang |
| 2021 | Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation. Prasanna Sanjay Raut, Omid Sadeghi, Maryam Fazel |
| 2021 | Online Learning in Variable Feature Spaces under Incomplete Supervision. Yi He, Xu Yuan, Sheng Chen, Xindong Wu |
| 2021 | Online Non-Monotone DR-Submodular Maximization. Kim Thang Nguyen, Abhinav Srivastav |
| 2021 | Online Optimal Control with Affine Constraints. Yingying Li, Subhro Das, Na Li |
| 2021 | Online Posted Pricing with Unknown Time-Discounted Valuations. Giulia Romano, Gianluca Tartaglia, Alberto Marchesi, Nicola Gatti |
| 2021 | Online Search with Maximum Clearance. Spyros Angelopoulos, Malachi Voss |
| 2021 | Ontology-Enriched Query Answering on Relational Databases. Shqiponja Ahmetaj, Vasilis Efthymiou, Ronald Fagin, Phokion G. Kolaitis, Chuan Lei, Fatma Özcan, Lucian Popa |
| 2021 | OpEvo: An Evolutionary Method for Tensor Operator Optimization. Xiaotian Gao, Wei Cui, Lintao Zhang, Mao Yang |
| 2021 | Open Domain Dialogue Generation with Latent Images. Ze Yang, Wei Wu, Huang Hu, Can Xu, Wei Wang, Zhoujun Li |
| 2021 | Open-Set Recognition with Gaussian Mixture Variational Autoencoders. Alexander Cao, Yuan Luo, Diego Klabjan |
| 2021 | Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies. Bhaskar Mishra, Ashish Aggarwal |
| 2021 | Opponent Hand Estimation in the Game of Gin Rummy. Peter E. Francis, Hoang A. Just, Todd W. Neller |
| 2021 | Optical Flow Estimation from a Single Motion-blurred Image. Dawit Mureja Argaw, Junsik Kim, François Rameau, Jae-Won Cho, In So Kweon |
| 2021 | Optimal Decision Trees for Nonlinear Metrics. Emir Demirovic, Peter J. Stuckey |
| 2021 | Optimal Kidney Exchange with Immunosuppressants. Haris Aziz, Ágnes Cseh, John P. Dickerson, Duncan C. McElfresh |
| 2021 | Optimising Automatic Calibration of Electric Muscle Stimulation. Graeme Gange, Jarrod Knibbe |
| 2021 | Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization. Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu |
| 2021 | Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray. Weinan Song, Yuan Liang, Jiawei Yang, Kun Wang, Lei He |
| 2021 | Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation. Tianchu Guo, Hui Zhang, ByungIn Yoo, Yongchao Liu, Youngjun Kwak, Jae-Joon Han |
| 2021 | Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization. Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura |
| 2021 | Ordinal Historical Dependence in Graphical Event Models with Tree Representations. Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian |
| 2021 | Out-of-Town Recommendation with Travel Intention Modeling. Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong |
| 2021 | Outlier Impact Characterization for Time Series Data. Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He |
| 2021 | Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction. Charles A. Kantor, Léonard Boussioux, Brice Rauby, Hugues Talbot |
| 2021 | Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay. Fan Zhou, Chengtai Cao |
| 2021 | Overcoming Catastrophic Forgetting in Graph Neural Networks. Huihui Liu, Yiding Yang, Xinchao Wang |
| 2021 | OzoMorph: Demonstrating Colored Multi-Agent Path Finding on Real Robots. Roman Barták, Jakub Mestek |
| 2021 | PAC Learning of Causal Trees with Latent Variables. Prasad Tadepalli, Stuart J. Russell |
| 2021 | PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning. Yuan Luo, Chengsheng Mao |
| 2021 | PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding. Zhu-Mu Chen, Mi-Yen Yeh, Tei-Wei Kuo |
| 2021 | PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos. Tianyu Luan, Yali Wang, Junhao Zhang, Zhe Wang, Zhipeng Zhou, Yu Qiao |
| 2021 | PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection. Yanan Zhang, Di Huang, Yunhong Wang |
| 2021 | PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs. Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma |
| 2021 | PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network. Pengfei Wang, Chengquan Zhang, Fei Qi, Shanshan Liu, Xiaoqiang Zhang, Pengyuan Lyu, Junyu Han, Jingtuo Liu, Errui Ding, Guangming Shi |
| 2021 | PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception. Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum |
| 2021 | PID-Based Approach to Adversarial Attacks. Chen Wan, Biaohua Ye, Fangjun Huang |
| 2021 | PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation. Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee |
| 2021 | PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning. Qin Wang, Boyuan Wang, Zhenlei Xu, Jiaxiang Wu, Peilin Zhao, Zhen Li, Sheng Wang, Junzhou Huang, Shuguang Cui |
| 2021 | PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning. Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu |
| 2021 | PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector. Chuan Luo, Pu Zhao, Chen Chen, Bo Qiao, Chao Du, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin |
| 2021 | Paragraph-level Commonsense Transformers with Recurrent Memory. Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi |
| 2021 | Parallel Constraint Acquisition. Nadjib Lazaar |
| 2021 | Parameterized Algorithms for MILPs with Small Treedepth. Cornelius Brand, Martin Koutecký, Sebastian Ordyniak |
| 2021 | Parameterized Complexity of Logic-Based Argumentation in Schaefer's Framework. Yasir Mahmood, Arne Meier, Johannes Schmidt |
| 2021 | Parameterized Complexity of Small Decision Tree Learning. Sebastian Ordyniak, Stefan Szeider |
| 2021 | Parameterized Logical Theories. Fangzhen Lin |
| 2021 | Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies. Giulia Zarpellon, Jason Jo, Andrea Lodi, Yoshua Bengio |
| 2021 | Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints. Anh Viet Do, Frank Neumann |
| 2021 | Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng |
| 2021 | Partial-Label and Structure-constrained Deep Coupled Factorization Network. Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang |
| 2021 | Partially Non-Autoregressive Image Captioning. Zhengcong Fei |
| 2021 | Passive learning of Timed Automata from logs (Student Abstract). Lénaïg Cornanguer |
| 2021 | Patch-Wise Attention Network for Monocular Depth Estimation. Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim |
| 2021 | Path to Automating Ocean Health Monitoring. Mak Ahmad, J. Scott Penberthy, Abigail Powell |
| 2021 | Pedestrian's Intention Recognition, Fusion of Handcrafted Features in a Deep Learning Approach. Omar Hamed, H. Joe Steinhauer |
| 2021 | Peer Collaborative Learning for Online Knowledge Distillation. Guile Wu, Shaogang Gong |
| 2021 | PenDer: Incorporating Shape Constraints via Penalized Derivatives. Akhil Gupta, Lavanya Marla, Ruoyu Sun, Naman Shukla, Arinbjörn Kolbeinsson |
| 2021 | Perception Beyond Sensors Under Uncertainty. Masha Itkina |
| 2021 | Perception Score: A Learned Metric for Open-ended Text Generation Evaluation. Jing Gu, Qingyang Wu, Zhou Yu |
| 2021 | Persistence of Anti-vaccine Sentiment in Social Networks Through Strategic Interactions. A. S. M. Ahsan-Ul-Haque, Mugdha Thakur, Matthew Bielskas, Achla Marathe, Anil Vullikanti |
| 2021 | Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. Runsheng Yu, Yu Gong, Xu He, Yu Zhu, Qingwen Liu, Wenwu Ou, Bo An |
| 2021 | Personalized Cross-Silo Federated Learning on Non-IID Data. Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang |
| 2021 | Personalizing Individual Comfort in the Group Setting. Emil Laftchiev, Diego Romeres, Daniel Nikovski |
| 2021 | Persuading Voters in District-based Elections. Matteo Castiglioni, Nicola Gatti |
| 2021 | Physarum Powered Differentiable Linear Programming Layers and Applications. Zihang Meng, Sathya N. Ravi, Vikas Singh |
| 2021 | Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models. Rongye Shi, Zhaobin Mo, Xuan Di |
| 2021 | Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science. Ziyu Xiang, Mingzhou Fan, Guillermo Vázquez Tovar, William Trehern, Byung-Jun Yoon, Xiaofeng Qian, Raymundo Arróyave, Xiaoning Qian |
| 2021 | Planning from Pixels in Atari with Learned Symbolic Representations. Andrea Dittadi, Frederik K. Drachmann, Thomas Bolander |
| 2021 | Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling |
| 2021 | Plug-and-Play Domain Adaptation for Cross-Subject EEG-based Emotion Recognition. Li-Ming Zhao, Xu Yan, Bao-Liang Lu |
| 2021 | PoA of Simple Auctions with Interdependent Values. Alon Eden, Michal Feldman, Inbal Talgam-Cohen, Ori Zviran |
| 2021 | Point Cloud Semantic Scene Completion from RGB-D Images. Shoulong Zhang, Shuai Li, Aimin Hao, Hong Qin |
| 2021 | PointINet: Point Cloud Frame Interpolation Network. Fan Lu, Guang Chen, Sanqing Qu, Zhijun Li, Yinlong Liu, Alois C. Knoll |
| 2021 | Policy Optimization as Online Learning with Mediator Feedback. Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli |
| 2021 | Policy-Guided Heuristic Search with Guarantees. Laurent Orseau, Levi H. S. Lelis |
| 2021 | Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs. Marcel Wienöbst, Max Bannach, Maciej Liskiewicz |
| 2021 | PoseBlocks: A Toolkit for Creating (and Dancing) with AI. Brian Jordan, Nisha Devasia, Jenna Hong, Randi Williams, Cynthia Breazeal |
| 2021 | Positions, Channels, and Layers: Fully Generalized Non-Local Network for Singer Identification. I-Yuan Kuo, Wen-Li Wei, Jen-Chun Lin |
| 2021 | Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision. Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu |
| 2021 | Power in Liquid Democracy. Yuzhe Zhang, Davide Grossi |
| 2021 | Power up! Robust Graph Convolutional Network via Graph Powering. Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi |
| 2021 | Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression. Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe |
| 2021 | Pragmatic Code Autocomplete. Gabriel Poesia, Noah D. Goodman |
| 2021 | Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction. Yan Lin, Huaiyu Wan, Shengnan Guo, Youfang Lin |
| 2021 | Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos. Huisi Wu, Jiafu Zhong, Wei Wang, Zhenkun Wen, Jing Qin |
| 2021 | Precision-based Boosting. Mohammad Hossein Nikravan, Marjan Movahedan, Sandra Zilles |
| 2021 | Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans. Fatih Altay, Guillermo Ramón Sánchez, Yanli James, Stephen V. Faraone, Senem Velipasalar, Asif Salekin |
| 2021 | Predicting Flashover Occurrence using Surrogate Temperature Data. Eugene Yujun Fu, Wai Cheong Tam, Jun Wang, Richard Peacock, Paul A. Reneke, Grace Ngai, Hong Va Leong, Thomas Cleary |
| 2021 | Predicting Forest Fire Using Remote Sensing Data And Machine Learning. Suwei Yang, Massimo Lupascu, Kuldeep S. Meel |
| 2021 | Predicting Livelihood Indicators from Community-Generated Street-Level Imagery. Jihyeon Janel Lee, Dylan Grosz, Burak Uzkent, Sicheng Zeng, Marshall Burke, David B. Lobell, Stefano Ermon |
| 2021 | Predicting Mining Industry Accidents with a Multitask Learning Approach. Rodolfo Palma, Luis Martí, Nayat Sánchez-Pi |
| 2021 | Predicting Parking Availability from Mobile Payment Transactions with Positive Unlabeled Learning. Jonas Sonntag, Michael Engel, Lars Schmidt-Thieme |
| 2021 | Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone. Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey |
| 2021 | Predictive Adversarial Learning from Positive and Unlabeled Data. Wenpeng Hu, Ran Le, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao, Rui Yan |
| 2021 | Predictive Agent-Based Modeling of Natural Disasters Using Machine Learning. Favour Nerrise |
| 2021 | Preference Elicitation as Average-Case Sorting. Dominik Peters, Ariel D. Procaccia |
| 2021 | Preferred Explanations for Ontology-Mediated Queries under Existential Rules. Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius |
| 2021 | Present-Biased Optimization. Fedor V. Fomin, Pierre Fraigniaud, Petr A. Golovach |
| 2021 | Preserving Condorcet Winners under Strategic Manipulation. Sirin Botan, Ulle Endriss |
| 2021 | Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract). Danni Peng, Xiaobo Hu, Anxiang Zeng, Jie Zhang |
| 2021 | Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. Sean McGregor |
| 2021 | Proactive Privacy-preserving Learning for Retrieval. Peng-Fei Zhang, Zi Huang, Xin-Shun Xu |
| 2021 | Probabilistic Dependency Graphs. Oliver Richardson, Joseph Y. Halpern |
| 2021 | Probabilistic Programming Bots in Intuitive Physics Game Play. Fahad Alhasoun, Sarah Alnegheimish |
| 2021 | Probabilistic Robustness Quantification of Neural Networks. Gopi Kishan |
| 2021 | Probing Product Description Generation via Posterior Distillation. Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan |
| 2021 | Programmatic Strategies for Real-Time Strategy Games. Julian R. H. Mariño, Rubens O. Moraes, Tassiana C. Oliveira, Cláudio Toledo, Levi H. S. Lelis |
| 2021 | Progression Heuristics for Planning with Probabilistic LTL Constraints. Ian Mallett, Sylvie Thiébaux, Felipe W. Trevizan |
| 2021 | Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction. Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu |
| 2021 | Progressive Network Grafting for Few-Shot Knowledge Distillation. Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song |
| 2021 | Progressive One-shot Human Parsing. Haoyu He, Jing Zhang, Bhavani Thuraisingham, Dacheng Tao |
| 2021 | Project RISE: Recognizing Industrial Smoke Emissions. Yen-Chia Hsu, Ting-Hao K. Huang, Ting-Yao Hu, Paul Dille, Sean Prendi, Ryan Hoffman, Anastasia Tsuhlares, Jessica Pachuta, Randy Sargent, Illah R. Nourbakhsh |
| 2021 | Projection-Free Bandit Optimization with Privacy Guarantees. Alina Ene, Huy L. Nguyen, Adrian Vladu |
| 2021 | Projection-free Online Learning in Dynamic Environments. Yuanyu Wan, Bo Xue, Lijun Zhang |
| 2021 | Projection-free Online Learning over Strongly Convex Sets. Yuanyu Wan, Lijun Zhang |
| 2021 | Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo). Yixiao Lan, Yuan Liu, Boyang Li, Chunyan Miao |
| 2021 | Proportional Representation under Single-Crossing Preferences Revisited. Andrei Costin Constantinescu, Edith Elkind |
| 2021 | Proportionally Representative Participatory Budgeting with Ordinal Preferences. Haris Aziz, Barton E. Lee |
| 2021 | Proposal-Free Video Grounding with Contextual Pyramid Network. Kun Li, Dan Guo, Meng Wang |
| 2021 | Protecting the Protected Group: Circumventing Harmful Fairness. Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz |
| 2021 | Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis |
| 2021 | Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size. Christoph Hertrich, Martin Skutella |
| 2021 | Provably Secure Federated Learning against Malicious Clients. Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong |
| 2021 | Proxy Graph Matching with Proximal Matching Networks. Haoru Tan, Chuang Wang, Sitong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng-Lin Liu |
| 2021 | Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning. Geonmo Gu, Byungsoo Ko, Han-Gyu Kim |
| 2021 | Pyramidal Feature Shrinking for Salient Object Detection. Mingcan Ma, Changqun Xia, Jia Li |
| 2021 | Quantification of Resource Production Incompleteness. Yakoub Salhi |
| 2021 | Quantum Binary Classification (Student Abstract). Carla Silva, Ana Aguiar, Inês Dutra |
| 2021 | Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis. Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti, Massimo Melucci, Yijun Yu, Dawei Song |
| 2021 | Quantum Exploration Algorithms for Multi-Armed Bandits. Daochen Wang, Xuchen You, Tongyang Li, Andrew M. Childs |
| 2021 | Quantum-inspired Neural Network for Conversational Emotion Recognition. Qiuchi Li, Dimitris Gkoumas, Alessandro Sordoni, Jian-Yun Nie, Massimo Melucci |
| 2021 | Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables. Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George |
| 2021 | Query-Memory Re-Aggregation for Weakly-supervised Video Object Segmentation. Fanchao Lin, Hongtao Xie, Yan Li, Yongdong Zhang |
| 2021 | Question-Driven Span Labeling Model for Aspect-Opinion Pair Extraction. Lei Gao, Yulong Wang, Tongcun Liu, Jingyu Wang, Lei Zhang, Jianxin Liao |
| 2021 | Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service. Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia |
| 2021 | R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. Xue Yang, Junchi Yan, Ziming Feng, Tao He |
| 2021 | RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati |
| 2021 | REFINE: Prediction Fusion Network for Panoptic Segmentation. Jiawei Ren, Cunjun Yu, Zhongang Cai, Mingyuan Zhang, Chongsong Chen, Haiyu Zhao, Shuai Yi, Hongsheng Li |
| 2021 | REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang |
| 2021 | RESA: Recurrent Feature-Shift Aggregator for Lane Detection. Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai |
| 2021 | RGB-D Salient Object Detection via 3D Convolutional Neural Networks. Qian Chen, Ze Liu, Yi Zhang, Keren Fu, Qijun Zhao, Hongwei Du |
| 2021 | RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract). Yuhui Guo, Xun Liang |
| 2021 | RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract). Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims |
| 2021 | RNA Secondary Structure Representation Network for RNA-proteins Binding Prediction. Ziyi Liu, Fulin Luo, Bo Du |
| 2021 | ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques. Yuanxin Liu, Zheng Lin, Fengcheng Yuan |
| 2021 | RSGNet: Relation based Skeleton Graph Network for Crowded Scenes Pose Estimation. Yan Dai, Xuanhan Wang, Lianli Gao, Jingkuan Song, Heng Tao Shen |
| 2021 | RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning. Peihao Chen, Deng Huang, Dongliang He, Xiang Long, Runhao Zeng, Shilei Wen, Mingkui Tan, Chuang Gan |
| 2021 | RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren |
| 2021 | RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving. Peixuan Li, Shun Su, Huaici Zhao |
| 2021 | RadarMath: An Intelligent Tutoring System for Math Education. Yu Lu, Yang Pian, Penghe Chen, Qinggang Meng, Yunbo Cao |
| 2021 | Rain Streak Removal via Dual Graph Convolutional Network. Xueyang Fu, Qi Qi, Zheng-Jun Zha, Yurui Zhu, Xinghao Ding |
| 2021 | RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery. Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski |
| 2021 | Random Forests for Opponent Hand Estimation in Gin Rummy. Anthony Hein, May Jiang, Vydhourie Thiyageswaran, Michael Guerzhoy |
| 2021 | Randomized Generation of Adversary-aware Fake Knowledge Graphs to Combat Intellectual Property Theft. Snow Kang, Cristian Molinaro, Andrea Pugliese, V. S. Subrahmanian |
| 2021 | Ranking Sets of Defeasible Elements in Preferential Approaches to Structured Argumentation: Postulates, Relations, and Characterizations. Jan Maly, Johannes P. Wallner |
| 2021 | RareBERT: Transformer Architecture for Rare Disease Patient Identification using Administrative Claims. P. K. S. Prakash, Srinivas Chilukuri, Nikhil Ranade, Shankar Viswanathan |
| 2021 | Raven's Progressive Matrices Completion with Latent Gaussian Process Priors. Fan Shi, Bin Li, Xiangyang Xue |
| 2021 | Re-TACRED: Addressing Shortcomings of the TACRED Dataset. George Stoica, Emmanouil Antonios Platanios, Barnabás Póczos |
| 2021 | Reaching Individually Stable Coalition Structures in Hedonic Games. Felix Brandt, Martin Bullinger, Anaëlle Wilczynski |
| 2021 | Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking. Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui |
| 2021 | Real-time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data. Boyo Chen, Buo-Fu Chen, Yun-Nung Chen |
| 2021 | Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension. Xiuying Chen, Zhi Cui, Jiayi Zhang, Chen Wei, Jianwei Cui, Bin Wang, Dongyan Zhao, Rui Yan |
| 2021 | Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. Ankur Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles |
| 2021 | Recursion in Abstract Argumentation is Hard - On the Complexity of Semantics Based on Weak Admissibility. Wolfgang Dvorák, Markus Ulbricht, Stefan Woltran |
| 2021 | Reducing Neural Network Parameter Initialization Into an SMT Problem (Student Abstract). Mohamad H. Danesh |
| 2021 | Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding. Long Chen, Wenbo Ma, Jun Xiao, Hanwang Zhang, Shih-Fu Chang |
| 2021 | Region-aware Global Context Modeling for Automatic Nerve Segmentation from Ultrasound Images. Huisi Wu, Jiasheng Liu, Wei Wang, Zhenkun Wen, Jing Qin |
| 2021 | Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition. Benjia Zhou, Yunan Li, Jun Wan |
| 2021 | Regret Bounds for Batched Bandits. Hossein Esfandiari, Amin Karbasi, Abbas Mehrabian, Vahab S. Mirrokni |
| 2021 | Regret Bounds for Online Kernel Selection in Continuous Kernel Space. Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen |
| 2021 | Regularizing Attention Networks for Anomaly Detection in Visual Question Answering. Doyup Lee, Yeongjae Cheon, Wook-Shin Han |
| 2021 | Reinforced History Backtracking for Conversational Question Answering. Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang |
| 2021 | Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu |
| 2021 | Reinforced Multi-Teacher Selection for Knowledge Distillation. Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang |
| 2021 | Reinforcement Based Learning on Classification Task Yields Better Generalization and Adversarial Accuracy (Student Abstract). Shashi Kant Gupta |
| 2021 | Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law. Jian Hou, Fangyuan Wang, Lili Wang, Zhiyong Chen |
| 2021 | Reinforcement Learning of Sequential Price Mechanisms. Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David C. Parkes, Duncan Rheingans-Yoo |
| 2021 | Reinforcement Learning with Trajectory Feedback. Yonathan Efroni, Nadav Merlis, Shie Mannor |
| 2021 | Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. Kai Wang, Zhene Zou, Qilin Deng, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui |
| 2021 | Reinforcement Learning-based Product Delivery Frequency Control. Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu, Feng Liang |
| 2021 | Rejection Sampling for Weighted Jaccard Similarity Revisited. Xiaoyun Li, Ping Li |
| 2021 | Relation-Aware Neighborhood Matching Model for Entity Alignment. Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du |
| 2021 | Relation-aware Graph Attention Model with Adaptive Self-adversarial Training. Xiao Qin, Nasrullah Sheikh, Berthold Reinwald, Lingfei Wu |
| 2021 | Relational Boosted Bandits. Ashutosh Kakadiya, Sriraam Natarajan, Balaraman Ravindran |
| 2021 | Relational Classification of Biological Cells in Microscopy Images. Ping Liu, Mustafa Bilgic |
| 2021 | Relational Learning to Capture the Dynamics and Sparsity of Knowledge Graphs. Mehrnoosh Mirtaheri |
| 2021 | Relative Variational Intrinsic Control. Kate Baumli, David Warde-Farley, Steven Hansen, Volodymyr Mnih |
| 2021 | Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph. Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi |
| 2021 | Relaxed Clustered Hawkes Process for Student Procrastination Modeling in MOOCs. Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh |
| 2021 | Remember More by Recalling Less: Investigating the Role of Batch Size in Continual Learning with Experience Replay (Student Abstract). Maciej Wolczyk, Andrii Krutsylo |
| 2021 | Representative Proxy Voting. Elliot Anshelevich, Zack Fitzsimmons, Rohit Vaish, Lirong Xia |
| 2021 | Representing the Unification of Text Featurization using a Context-Free Grammar. Doruk Kilitçioglu, Serdar Kadioglu |
| 2021 | Research Reproducibility as a Survival Analysis. Edward Raff |
| 2021 | Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences. Andis Draguns, Emils Ozolins, Agris Sostaks, Matiss Apinis, Karlis Freivalds |
| 2021 | Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition. Thomy Phan, Lenz Belzner, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Claudia Linnhoff-Popien |
| 2021 | Responsibility Attribution in Parameterized Markovian Models. Christel Baier, Florian Funke, Rupak Majumdar |
| 2021 | Responsible Prediction Making of COVID-19 Mortality (Student Abstract). Hubert Baniecki, Przemyslaw Biecek |
| 2021 | Restricted Domains of Dichotomous Preferences with Possibly Incomplete Information. Zoi Terzopoulou, Alexander Karpov, Svetlana Obraztsova |
| 2021 | Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective. Chao Xue, Xiaoxing Wang, Junchi Yan, Yonggang Hu, Xiaokang Yang, Kewei Sun |
| 2021 | Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer Networks. Hao Fei, Donghong Ji, Bobo Li, Yijiang Liu, Yafeng Ren, Fei Li |
| 2021 | Rethinking Graph Regularization for Graph Neural Networks. Han Yang, Kaili Ma, James Cheng |
| 2021 | Rethinking Object Detection in Retail Stores. Yuanqiang Cai, Longyin Wen, Libo Zhang, Dawei Du, Weiqiang Wang |
| 2021 | Retrieve and Revise: Improving Peptide Identification with Similar Mass Spectra. Zhengcong Fei |
| 2021 | Retrospective Reader for Machine Reading Comprehension. Zhuosheng Zhang, Junjie Yang, Hai Zhao |
| 2021 | RevMan: Revenue-aware Multi-task Online Insurance Recommendation. Yu Li, Yi Zhang, Lu Gan, Gengwei Hong, Zimu Zhou, Qiang Li |
| 2021 | Revealing Hidden Preconditions and Effects of Compound HTN Planning Tasks - A Complexity Analysis. Conny Olz, Susanne Biundo, Pascal Bercher |
| 2021 | Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices. Luo Luo, Cheng Chen, Guangzeng Xie, Haishan Ye |
| 2021 | Revisiting Consistent Hashing with Bounded Loads. John Chen, Benjamin Coleman, Anshumali Shrivastava |
| 2021 | Revisiting Dominance Pruning in Decoupled Search. Daniel Gnad |
| 2021 | Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization. Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang |
| 2021 | Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection. Alexander Podolskiy, Dmitry Lipin, Andrey Bout, Ekaterina Artemova, Irina Piontkovskaya |
| 2021 | Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract). Ashlesha Akella, Sai Kalyan Ranga Singanamalla, Chin-Teng Lin |
| 2021 | Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits. Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar |
| 2021 | Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks. Yoon-Je Suh, Byung Hyung Kim |
| 2021 | Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions. Xiaoting Shao, Arseny Skryagin, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting |
| 2021 | Robotic Manipulation with Reinforcement Learning, State Representation Learning, and Imitation Learning (Student Abstract). Hanxiao Chen |
| 2021 | Robots that Help Humans Build Better Mental Models of Robots. Preeti Ramaraj |
| 2021 | Robust Bandit Learning with Imperfect Context. Jianyi Yang, Shaolei Ren |
| 2021 | Robust Contextual Bandits via Bootstrapping. Qiao Tang, Hong Xie, Yunni Xia, Jia Lee, Qingsheng Zhu |
| 2021 | Robust Fairness Under Covariate Shift. Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian D. Ziebart |
| 2021 | Robust Finite-State Controllers for Uncertain POMDPs. Murat Cubuktepe, Nils Jansen, Sebastian Junges, Ahmadreza Marandi, Marnix Suilen, Ufuk Topcu |
| 2021 | Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model. Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan |
| 2021 | Robust Lightweight Facial Expression Recognition Network with Label Distribution Training. Zengqun Zhao, Qingshan Liu, Feng Zhou |
| 2021 | Robust Model Compression Using Deep Hypotheses. Omri Armstrong, Ran Gilad-Bachrach |
| 2021 | Robust Multi-Modality Person Re-identification. Aihua Zheng, Zi Wang, Zi-Han Chen, Chenglong Li, Jin Tang |
| 2021 | Robust PDF Document Conversion using Recurrent Neural Networks. Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed S. Nassar, André Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter W. J. Staar |
| 2021 | Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation. Bo Pang, Zhong-Ping Jiang |
| 2021 | Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning. Huiling Qin, Songyu Ke, Xiaodu Yang, Haoran Xu, Xianyuan Zhan, Yu Zheng |
| 2021 | Robustness Guarantees for Mode Estimation with an Application to Bandits. Aldo Pacchiano, Heinrich Jiang, Michael I. Jordan |
| 2021 | Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng |
| 2021 | Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks (Student Abstract). Rishab Khincha, Utkarsh Sarawgi, Wazeer Zulfikar, Pattie Maes |
| 2021 | Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals. Zhao Wang, Aron Culotta |
| 2021 | Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract). Akshay Agarwal, Mayank Vatsa, Richa Singh |
| 2021 | Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks (Student Abstract). Bowen Jing, Vinay Uday Prabhu, Angela Gu, John Whaley |
| 2021 | RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER. Lin Sun, Jiquan Wang, Kai Zhang, Yindu Su, Fangsheng Weng |
| 2021 | SA-BNN: State-Aware Binary Neural Network. Chunlei Liu, Peng Chen, Bohan Zhuang, Chunhua Shen, Baochang Zhang, Wenrui Ding |
| 2021 | SALNet: Semi-supervised Few-Shot Text Classification with Attention-based Lexicon Construction. Ju Hyoung Lee, Sang-Ki Ko, Yo-Sub Han |
| 2021 | SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration. Mengzuo Huang, Feng Li, Wuhe Zou, Weidong Zhang |
| 2021 | SAT-based Decision Tree Learning for Large Data Sets. André Schidler, Stefan Szeider |
| 2021 | SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction. Jasmine Sekhon, Cody H. Fleming |
| 2021 | SCNet: Training Inference Sample Consistency for Instance Segmentation. Thang Vu, Haeyong Kang, Chang D. Yoo |
| 2021 | SCRUPLES: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes. Nicholas Lourie, Ronan Le Bras, Yejin Choi |
| 2021 | SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation. Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji |
| 2021 | SDGNN: Learning Node Representation for Signed Directed Networks. Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng |
| 2021 | SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations. Haozhe Feng, Kezhi Kong, Minghao Chen, Tianye Zhang, Minfeng Zhu, Wei Chen |
| 2021 | SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation. Jiabin Zhang, Zheng Zhu, Jiwen Lu, Junjie Huang, Guan Huang, Jie Zhou |
| 2021 | SKATE: A Natural Language Interface for Encoding Structured Knowledge. Clifton James McFate, Aditya Kalyanpur, David A. Ferrucci, Andrea Bradshaw, Ariel Diertani, David Melville, Lori Moon |
| 2021 | SMART Frame Selection for Action Recognition. Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara |
| 2021 | SMART: A Situation Model for Algebra Story Problems via Attributed Grammar. Yining Hong, Qing Li, Ran Gong, Daniel Ciao, Siyuan Huang, Song-Chun Zhu |
| 2021 | SMIL: Multimodal Learning with Severely Missing Modality. Mengmeng Ma, Jian Ren, Long Zhao, Sergey Tulyakov, Cathy Wu, Xi Peng |
| 2021 | SMT-based Safety Checking of Parameterized Multi-Agent Systems. Paolo Felli, Alessandro Gianola, Marco Montali |
| 2021 | SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition. Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu, Futai Zou |
| 2021 | SSA2D: Single Shot Actor-Action Detection in Videos (Student Abstract). Aayush Jung Rana, Yogesh S. Rawat |
| 2021 | SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains. Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas H. Li |
| 2021 | SSN3D: Self-Separated Network to Align Parts for 3D Convolution in Video Person Re-Identification. Xiaoke Jiang, Yu Qiao, Junjie Yan, Qichen Li, Wanrong Zheng, Dapeng Chen |
| 2021 | SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network. Mingmei Cheng, Le Hui, Jin Xie, Jian Yang |
| 2021 | STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun |
| 2021 | STL-SGD: Speeding Up Local SGD with Stagewise Communication Period. Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu |
| 2021 | SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun |
| 2021 | Safe Search for Stackelberg Equilibria in Extensive-Form Games. Chun Kai Ling, Noam Brown |
| 2021 | Safety Assurance for Systems with Machine Learning Components. Chelsea Sidrane |
| 2021 | Sample Complexity of Policy Gradient Finding Second-Order Stationary Points. Long Yang, Qian Zheng, Gang Pan |
| 2021 | Sample Efficient Reinforcement Learning with REINFORCE. Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen P. Boyd |
| 2021 | Sample Selection for Universal Domain Adaptation. Omri Lifshitz, Lior Wolf |
| 2021 | Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models. Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George |
| 2021 | Sample-Specific Output Constraints for Neural Networks. Mathis Brosowsky, Florian Keck, Olaf Dünkel, Marius Zöllner |
| 2021 | Sampling Partial Acyclic Orientations in Chordal Graphs by the Lovasz Local Lemma (Student Abstract). Wenbo Sun, Ivona Bezáková |
| 2021 | Satisfiability and Algorithms for Non-uniform Random k-SAT. Oleksii Omelchenko, Andrei Bulatov |
| 2021 | Saturated Post-hoc Optimization for Classical Planning. Jendrik Seipp, Thomas Keller, Malte Helmert |
| 2021 | Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China. Tingting Dan, Yang Li, Ziwei Zhu, Xijie Chen, Wuxiu Quan, Yu Hu, Guihua Tao, Lei Zhu, Jijin Zhu, Hongmin Cai, Hanchun Wen |
| 2021 | Scalable Affinity Propagation for Massive Datasets. Hiroaki Shiokawa |
| 2021 | Scalable Equilibrium Computation in Multi-agent Influence Games on Networks. Fotini Christia, Michael J. Curry, Constantinos Daskalakis, Erik D. Demaine, John P. Dickerson, MohammadTaghi Hajiaghayi, Adam Hesterberg, Marina Knittel, Aidan Milliff |
| 2021 | Scalable First-Order Methods for Robust MDPs. Julien Grand-Clément, Christian Kroer |
| 2021 | Scalable Graph Networks for Particle Simulations. Karolis Martinkus, Aurélien Lucchi, Nathanaël Perraudin |
| 2021 | Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract). Schyler Chengyao Sun, Chen Li, Zhuangkun Wei, Antonios Tsourdos, Weisi Guo |
| 2021 | Scalable Verification of Quantized Neural Networks. Thomas A. Henzinger, Mathias Lechner, Dorde Zikelic |
| 2021 | Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning. Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang |
| 2021 | Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances. Jingkai Chen, Jiaoyang Li, Chuchu Fan, Brian C. Williams |
| 2021 | Scaling-Up Robust Gradient Descent Techniques. Matthew J. Holland |
| 2021 | Scarce Societal Resource Allocation and the Price of (Local) Justice. Quan Nguyen, Sanmay Das, Roman Garnett |
| 2021 | Scene Graph Embeddings Using Relative Similarity Supervision. Paridhi Maheshwari, Ritwick Chaudhry, Vishwa Vinay |
| 2021 | Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network. Yehao Li, Yingwei Pan, Ting Yao, Jingwen Chen, Tao Mei |
| 2021 | Scheduling of Time-Varying Workloads Using Reinforcement Learning. Shanka Subhra Mondal, Nikhil Sheoran, Subrata Mitra |
| 2021 | Screening for Depressed Individuals by Using Multimodal Social Media Data. Paulo Mann, Aline Paes, Elton H. Matsushima |
| 2021 | SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning. Ting Yao, Yiheng Zhang, Zhaofan Qiu, Yingwei Pan, Tao Mei |
| 2021 | Searching for Alignment in Face Recognition. Xiaqing Xu, Qiang Meng, Yunxiao Qin, Jianzhu Guo, Chenxu Zhao, Feng Zhou, Zhen Lei |
| 2021 | Searching for Machine Learning Pipelines Using a Context-Free Grammar. Radu Marinescu, Akihiro Kishimoto, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea |
| 2021 | SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract). Ilia Sucholutsky, Matthias Schonlau |
| 2021 | Second Order Techniques for Learning Time-series with Structural Breaks. Takayuki Osogami |
| 2021 | Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang |
| 2021 | Segatron: Segment-Aware Transformer for Language Modeling and Understanding. He Bai, Peng Shi, Jimmy Lin, Yuqing Xie, Luchen Tan, Kun Xiong, Wen Gao, Ming Li |
| 2021 | Segmentation of Tweets with URLs and its Applications to Sentiment Analysis. Abdullah Aljebreen, Weiyi Meng, Eduard C. Dragut |
| 2021 | Self-Attention Attribution: Interpreting Information Interactions Inside Transformer. Yaru Hao, Li Dong, Furu Wei, Ke Xu |
| 2021 | Self-Domain Adaptation for Face Anti-Spoofing. Jingjing Wang, Jingyi Zhang, Ying Bian, Youyi Cai, Chunmao Wang, Shiliang Pu |
| 2021 | Self-Paced Two-dimensional PCA. Jiangxin Li, Zhao Kang, Chong Peng, Wenyu Chen |
| 2021 | Self-Progressing Robust Training. Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das |
| 2021 | Self-Supervised Attention-Aware Reinforcement Learning. Haiping Wu, Khimya Khetarpal, Doina Precup |
| 2021 | Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang |
| 2021 | Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling. Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong |
| 2021 | Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic. Hunter Lang, Hoifung Poon |
| 2021 | Self-Supervised Sketch-to-Image Synthesis. Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal |
| 2021 | Self-correcting Q-learning. Rong Zhu, Mattia Rigotti |
| 2021 | Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation. Tianfu Zhang, Heyan Huang, Chong Feng, Longbing Cao |
| 2021 | Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation. Hongbin Xu, Zhipeng Zhou, Yu Qiao, Wenxiong Kang, Qiuxia Wu |
| 2021 | Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA. Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak |
| 2021 | Selfish Creation of Social Networks. Davide Bilò, Tobias Friedrich, Pascal Lenzner, Stefanie Lowski, Anna Melnichenko |
| 2021 | Semantic Consistency Networks for 3D Object Detection. Wenwen Wei, Ping Wei, Nanning Zheng |
| 2021 | Semantic Grouping Network for Video Captioning. Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo |
| 2021 | Semantic MapNet: Building Allocentric Semantic Maps and Representations from Egocentric Views. Vincent Cartillier, Zhile Ren, Neha Jain, Stefan Lee, Irfan Essa, Dhruv Batra |
| 2021 | Semantic-guided Reinforced Region Embedding for Generalized Zero-Shot Learning. Jiannan Ge, Hongtao Xie, Shaobo Min, Yongdong Zhang |
| 2021 | Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro |
| 2021 | Semantics-Aware Inferential Network for Natural Language Understanding. Shuailiang Zhang, Hai Zhao, Junru Zhou, Xi Zhou, Xiang Zhou |
| 2021 | Semi-Discrete Social Recommendation (Student Abstract). Fangyuan Luo, Jun Wu, Haishuai Wang |
| 2021 | Semi-Supervised Knowledge Amalgamation for Sequence Classification. Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner |
| 2021 | Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus. Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Elena Marcu, Emil Slusanschi, Rahul Sukthankar |
| 2021 | Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract). Divyanshu Sundriyal, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh |
| 2021 | Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. Kien Do, Truyen Tran, Svetha Venkatesh |
| 2021 | Semi-Supervised Metric Learning: A Deep Resurrection. Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar |
| 2021 | Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong |
| 2021 | Semi-supervised Medical Image Segmentation through Dual-task Consistency. Xiangde Luo, Jieneng Chen, Tao Song, Guotai Wang |
| 2021 | Semi-supervised Sequence Classification through Change Point Detection. Nauman Ahad, Mark A. Davenport |
| 2021 | Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems. Yuzhe Ma, Jon A. Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu |
| 2021 | Sequential End-to-end Network for Efficient Person Search. Zhengjia Li, Duoqian Miao |
| 2021 | Sequential Generative Exploration Model for Partially Observable Reinforcement Learning. Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek |
| 2021 | Shallow-UWnet: Compressed Model for Underwater Image Enhancement (Student Abstract). Ankita Naik, Apurva Swarnakar, Kartik Mittal |
| 2021 | Shape-Pose Ambiguity in Learning 3D Reconstruction from Images. Yunjie Wu, Zhengxing Sun, Youcheng Song, Yunhan Sun, Yijie Zhong, Jinlong Shi |
| 2021 | Shape-based Feature Engineering for Solar Flare Prediction. Varad Deshmukh, Thomas Berger, James D. Meiss, Elizabeth Bradley |
| 2021 | ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification. GuoZhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Kwok-Pan Chun, Grace Lai-Hung Wong |
| 2021 | Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet. Xingwei He, Victor O. K. Li |
| 2021 | Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. Mingi Ji, Byeongho Heo, Sungrae Park |
| 2021 | Shuffling Recurrent Neural Networks. Michael Rotman, Lior Wolf |
| 2021 | Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry. Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti |
| 2021 | Similarity Reasoning and Filtration for Image-Text Matching. Haiwen Diao, Ying Zhang, Lin Ma, Huchuan Lu |
| 2021 | Simple and Effective Stochastic Neural Networks. Tianyuan Yu, Yongxin Yang, Da Li, Timothy M. Hospedales, Tao Xiang |
| 2021 | Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps. Qi Zhu, Chenyu Gao, Peng Wang, Qi Wu |
| 2021 | Simple or Complex? Learning to Predict Readability of Bengali Texts. Susmoy Chakraborty, Mir Tafseer Nayeem, Wasi Uddin Ahmad |
| 2021 | Simpson's Bias in NLP Training. Fei Yuan, Longtu Zhang, Bojun Huang, Yaobo Liang |
| 2021 | Simultaneous 2nd Price Item Auctions with No-Underbidding. Michal Feldman, Galia Shabtai |
| 2021 | Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model. Felix Mohr, Viktor Bengs, Eyke Hüllermeier |
| 2021 | Single View Point Cloud Generation via Unified 3D Prototype. Yu Lin, Yigong Wang, Yi-Fan Li, Zhuoyi Wang, Yang Gao, Latifur Khan |
| 2021 | SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau |
| 2021 | Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale. Zhengyan Tong, Xuanhong Chen, Bingbing Ni, Xiaohang Wang |
| 2021 | Sketch and Customize: A Counterfactual Story Generator. Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng |
| 2021 | Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract). Andrea Seveso, Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica |
| 2021 | Slimmable Generative Adversarial Networks. Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang |
| 2021 | Smooth Convex Optimization Using Sub-Zeroth-Order Oracles. Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu |
| 2021 | SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data. Shaoli Huang, Xinchao Wang, Dacheng Tao |
| 2021 | Social-DPF: Socially Acceptable Distribution Prediction of Futures. Xiaodan Shi, Xiaowei Shao, Guangming Wu, Haoran Zhang, Zhiling Guo, Renhe Jiang, Ryosuke Shibasaki |
| 2021 | Software for Agent-based Network Simulation and Visualization. Patrick Shepherd, Isaac Batts, Judy Goldsmith, Emory Hufbauer, Mia Weaver, Angela Zhang |
| 2021 | Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous Driving. Atrisha Sarkar, Krzysztof Czarnecki |
| 2021 | Solving Common-Payoff Games with Approximate Policy Iteration. Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot |
| 2021 | Solving Infinite-Domain CSPs Using the Patchwork Property. Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov |
| 2021 | Solving JumpIN' Using Zero-Dependency Reinforcement Learning (Student Abstract). Rachel Ostic, Oliver Benning, Patrick Boily |
| 2021 | SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint. Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin |
| 2021 | Source Separation and Depthwise Separable Convolutions for Computer Audition (Student Abstract). Gabriel Mersy, Jin Hong Kuan |
| 2021 | Span-Based Event Coreference Resolution. Jing Lu, Vincent Ng |
| 2021 | Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion. Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui |
| 2021 | Sparsity Aware Normalization for GANs. Idan Kligvasser, Tomer Michaeli |
| 2021 | Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting. Mengzhang Li, Zhanxing Zhu |
| 2021 | Spatial-temporal Causal Inference for Partial Image-to-video Adaptation. Jin Chen, Xinxiao Wu, Yao Hu, Jiebo Luo |
| 2021 | Spatio-Temporal Difference Descriptor for Skeleton-Based Action Recognition. Chongyang Ding, Kai Liu, Jari Korhonen, Evgeny Belyaev |
| 2021 | Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation. Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou |
| 2021 | Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems. Ahmad Maroof Karimi, Yinghui Wu, Mehmet Koyutürk, Roger H. French |
| 2021 | Spectral Distribution Aware Image Generation. Steffen Jung, Margret Keuper |
| 2021 | Spherical Image Generation from a Single Image by Considering Scene Symmetry. Takayuki Hara, Yusuke Mukuta, Tatsuya Harada |
| 2021 | Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal. Xiaodong Cun, Chi-Man Pun |
| 2021 | Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network. Jong-Yeong Kim, Dong-Wan Choi |
| 2021 | Stability and Generalization of Decentralized Stochastic Gradient Descent. Tao Sun, Dongsheng Li, Bao Wang |
| 2021 | Stabilizing Q Learning Via Soft Mellowmax Operator. Yaozhong Gan, Zhe Zhang, Xiaoyang Tan |
| 2021 | Stable Adversarial Learning under Distributional Shifts. Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin |
| 2021 | StarNet: towards Weakly Supervised Few-Shot Object Detection. Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes |
| 2021 | StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling. Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson |
| 2021 | State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract). Milan Zinzuvadiya, Vahid Behzadan |
| 2021 | Static-Dynamic Interaction Networks for Offline Signature Verification. Huan Li, Ping Wei, Ping Hu |
| 2021 | Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash |
| 2021 | Step-Ahead Error Feedback for Distributed Training with Compressed Gradient. An Xu, Zhouyuan Huo, Heng Huang |
| 2021 | Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations. Alex Wong, Mukund Mundhra, Stefano Soatto |
| 2021 | Stochastic Bandits with Graph Feedback in Non-Stationary Environments. Shiyin Lu, Yao Hu, Lijun Zhang |
| 2021 | Stochastic Graphical Bandits with Adversarial Corruptions. Shiyin Lu, Guanghui Wang, Lijun Zhang |
| 2021 | Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks. Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung |
| 2021 | Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah |
| 2021 | Storage Fit Learning with Feature Evolvable Streams. Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou |
| 2021 | Story Ending Generation with Multi-Level Graph Convolutional Networks over Dependency Trees. Qingbao Huang, Linzhang Mo, Pijian Li, Yi Cai, Qingguang Liu, Jielong Wei, Qing Li, Ho-fung Leung |
| 2021 | Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. Weihao Tan, Devdhar Patel, Robert Kozma |
| 2021 | Stratified Negation in Datalog with Metric Temporal Operators. David J. Tena Cucala, Przemyslaw Andrzej Walega, Bernardo Cuenca Grau, Egor V. Kostylev |
| 2021 | Stratified Rule-Aware Network for Abstract Visual Reasoning. Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai |
| 2021 | StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding. Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao |
| 2021 | Strong Explanations in Abstract Argumentation. Markus Ulbricht, Johannes P. Wallner |
| 2021 | Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence. Siyue Yu, Bingfeng Zhang, Jimin Xiao, Eng Gee Lim |
| 2021 | Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation. Jilin Tang, Yi Yuan, Tianjia Shao, Yong Liu, Mengmeng Wang, Kun Zhou |
| 2021 | Structured Co-reference Graph Attention for Video-grounded Dialogue. Junyeong Kim, Sunjae Yoon, Dahyun Kim, Chang D. Yoo |
| 2021 | Student Knowledge Prediction for Teacher-Student Interaction. Seonghun Kim, Woojin Kim, Yeonju Jang, Seongyune Choi, HeeSeok Jung, Hyeoncheol Kim |
| 2021 | Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric. Ivan P. Yamshchikov, Viacheslav Shibaev, Nikolay Khlebnikov, Alexey Tikhonov |
| 2021 | Stylized Dialogue Response Generation Using Stylized Unpaired Texts. Yinhe Zheng, Zikai Chen, Rongsheng Zhang, Shilei Huang, Xiaoxi Mao, Minlie Huang |
| 2021 | Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances. Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee |
| 2021 | Sublinear Classical and Quantum Algorithms for General Matrix Games. Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu |
| 2021 | Submodel Decomposition Bounds for Influence Diagrams. Junkyu Lee, Radu Marinescu, Rina Dechter |
| 2021 | Submodular Span, with Applications to Conditional Data Summarization. Lilly Kumari, Jeff A. Bilmes |
| 2021 | Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis. Xiaofeng Liu, Xiongchang Liu, Bo Hu, Wenxuan Ji, Fangxu Xing, Jun Lu, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo |
| 2021 | Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images. Kang Liu, Benjamin Tan, Siddharth Garg |
| 2021 | Successive Halving Top-k Operator. Michal Pietruszka, Lukasz Borchmann, Filip Gralinski |
| 2021 | Successor Feature Sets: Generalizing Successor Representations Across Policies. Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon |
| 2021 | Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications. Andras Gabor Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek, Philipp Schillinger, Mathias Bürger |
| 2021 | Symbolic Music Generation with Transformer-GANs. Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alexander J. Smola |
| 2021 | Symbolic Search for Optimal Total-Order HTN Planning. Gregor Behnke, David Speck |
| 2021 | Symbolic Search for Oversubscription Planning. David Speck, Michael Katz |
| 2021 | Symmetric Component Caching for Model Counting on Combinatorial Instances. Timothy van Bremen, Vincent Derkinderen, Shubham Sharma, Subhajit Roy, Kuldeep S. Meel |
| 2021 | Symmetry Breaking for k-Robust Multi-Agent Path Finding. Zhe Chen, Daniel Damir Harabor, Jiaoyang Li, Peter J. Stuckey |
| 2021 | Synchronous Dynamical Systems on Directed Acyclic Graphs: Complexity and Algorithms. Daniel J. Rosenkrantz, Madhav V. Marathe, S. S. Ravi, Richard Edwin Stearns |
| 2021 | Synchronous Interactive Decoding for Multilingual Neural Machine Translation. Hao He, Qian Wang, Zhipeng Yu, Yang Zhao, Jiajun Zhang, Chengqing Zong |
| 2021 | Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian |
| 2021 | Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning. Andrea Micheli, Alessandro Valentini |
| 2021 | TAILOR: Teaching with Active and Incremental Learning for Object Registration. Qianli Xu, Nicolas Gauthier, Wenyu Liang, Fen Fang, Hui Li Tan, Ying Sun, Yan Wu, Liyuan Li, Joo-Hwee Lim |
| 2021 | TDAF: Top-Down Attention Framework for Vision Tasks. Bo Pang, Yizhuo Li, Jiefeng Li, Muchen Li, Hanwen Cao, Cewu Lu |
| 2021 | THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation. Mengyun Chen, Kai-Xin Gao, Xiaolei Liu, Zidong Wang, Ningxi Ni, Qian Zhang, Lei Chen, Chao Ding, Zheng-Hai Huang, Min Wang, Shuangling Wang, Fan Yu, Xinyuan Zhao, Dachuan Xu |
| 2021 | TIME: Text and Image Mutual-Translation Adversarial Networks. Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal |
| 2021 | TODS: An Automated Time Series Outlier Detection System. Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu |
| 2021 | TRQ: Ternary Neural Networks With Residual Quantization. Yue Li, Wenrui Ding, Chunlei Liu, Baochang Zhang, Guodong Guo |
| 2021 | TSQA: Tabular Scenario Based Question Answering. Xiao Li, Yawei Sun, Gong Cheng |
| 2021 | TaLNet: Voice Reconstruction from Tongue and Lip Articulation with Transfer Learning from Text-to-Speech Synthesis. Jing-Xuan Zhang, Korin Richmond, Zhen-Hua Ling, Lirong Dai |
| 2021 | TabNet: Attentive Interpretable Tabular Learning. Sercan Ö. Arik, Tomas Pfister |
| 2021 | Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model. Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong |
| 2021 | Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors. Su Lu, Han-Jia Ye, De-Chuan Zhan |
| 2021 | Targeted Negative Campaigning: Complexity and Approximations. Avishai Zagoury, Orgad Keller, Avinatan Hassidim, Noam Hazon |
| 2021 | Task Aligned Generative Meta-learning for Zero-shot Learning. Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long |
| 2021 | Task Cooperation for Semi-Supervised Few-Shot Learning. Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan |
| 2021 | Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract). Rafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan |
| 2021 | Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate. Mirco Mutti, Lorenzo Pratissoli, Marcello Restelli |
| 2021 | Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning. Chaoqun Wang, Xuejin Chen, Shaobo Min, Xiaoyan Sun, Houqiang Li |
| 2021 | Taxonomy Completion via Triplet Matching Network. Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li |
| 2021 | Teacher Guided Neural Architecture Search for Face Recognition. Xiaobo Wang |
| 2021 | Teacher Perspectives on How To Train Your Robot: A Middle School AI and Ethics Curriculum. Randi Williams, Stephen P. Kaputsos, Cynthia Breazeal |
| 2021 | Teaching Active Human Learners. Zizhe Wang, Hailong Sun |
| 2021 | Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development Tools. Jessica Van Brummelen, Tommy Heng, Viktoriya Tabunshchyk |
| 2021 | Teaching the Old Dog New Tricks: Supervised Learning with Constraints. Fabrizio Detassis, Michele Lombardi, Michela Milano |
| 2021 | TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL. Yanchao Sun, Xiangyu Yin, Furong Huang |
| 2021 | Tempered Sigmoid Activations for Deep Learning with Differential Privacy. Nicolas Papernot, Abhradeep Thakurta, Shuang Song, Steve Chien, Úlfar Erlingsson |
| 2021 | Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting. Nam Nguyen, Brian Quanz |
| 2021 | Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision. Rongqin Liang, Yuanman Li, Xia Li, Yi Tang, Jiantao Zhou, Wenbin Zou |
| 2021 | Temporal ROI Align for Video Object Recognition. Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng |
| 2021 | Temporal Relational Modeling with Self-Supervision for Action Segmentation. Dong Wang, Di Hu, Xingjian Li, Dejing Dou |
| 2021 | Temporal Segmentation of Fine-gained Semantic Action: A Motion-Centered Figure Skating Dataset. Shenglan Liu, Aibin Zhang, Yunheng Li, Jian Zhou, Li Xu, Zhuben Dong, Renhao Zhang |
| 2021 | Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance. Shibo Zhou, Xiaohua Li, Ying Chen, Sanjeev Tannirkulam Chandrasekaran, Arindam Sanyal |
| 2021 | Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks. Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone |
| 2021 | Terrace-based Food Counting and Segmentation. Huu-Thanh Nguyen, Chong-Wah Ngo |
| 2021 | Testing Independence Between Linear Combinations for Causal Discovery. Hao Zhang, Kun Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang |
| 2021 | Text Analysis for Understanding Symptoms of Social Anxiety in Student Veterans. Morgan Byers, Vangelis Metsis |
| 2021 | Text Embedding Bank for Detailed Image Paragraph Captioning. Arjun Gupta, Zengming Shen, Thomas S. Huang |
| 2021 | Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation. Pin-Hao Huang, Han-Hung Lee, Hwann-Tzong Chen, Tyng-Luh Liu |
| 2021 | Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell |
| 2021 | TextGAIL: Generative Adversarial Imitation Learning for Text Generation. Qingyang Wu, Lei Li, Zhou Yu |
| 2021 | The Active Sensing Testbed. Lee Stearns, Neil Fendley, Ashley J. Llorens |
| 2021 | The Adapter-Bot: All-In-One Controllable Conversational Model. Zhaojiang Lin, Andrea Madotto, Yejin Bang, Pascale Fung |
| 2021 | The Causal Learning of Retail Delinquency. Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang, Zhixiang Huang |
| 2021 | The Complexity Landscape of Claim-Augmented Argumentation Frameworks. Wolfgang Dvorák, Alexander Greßler, Anna Rapberger, Stefan Woltran |
| 2021 | The Complexity of Object Association in Multiple Object Tracking. Robert Ganian, Thekla Hamm, Sebastian Ordyniak |
| 2021 | The Contour to Classification Game. Irene Lee, Safinah Arshad Ali |
| 2021 | The Counterfactual NESS Definition of Causation. Sander Beckers |
| 2021 | The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets. Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz |
| 2021 | The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT. Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra |
| 2021 | The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma |
| 2021 | The Influence of Memory in Multi-Agent Consensus. David Kohan Marzagão, Luciana Basualdo Bonatto, Tiago Madeira, Marcelo Matheus Gauy, Peter McBurney |
| 2021 | The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network. Zijian Shi, Yu Chen, John Cartlidge |
| 2021 | The Maximin Support Method: An Extension of the D'Hondt Method to Approval-Based Multiwinner Elections. Luis Sánchez Fernández, Norberto Fernández García, Jesús A. Fisteus, Markus Brill |
| 2021 | The Parameterized Complexity of Clustering Incomplete Data. Eduard Eiben, Robert Ganian, Iyad Kanj, Sebastian Ordyniak, Stefan Szeider |
| 2021 | The Power of Literal Equivalence in Model Counting. Yong Lai, Kuldeep S. Meel, Roland H. C. Yap |
| 2021 | The Price of Anarchy in ROSCAS with Risk Averse Agents. Christian Ikeokwu |
| 2021 | The Price of Connectivity in Fair Division. Xiaohui Bei, Ayumi Igarashi, Xinhang Lu, Warut Suksompong |
| 2021 | The Sample Complexity of Teaching by Reinforcement on Q-Learning. Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu |
| 2021 | The Smoothed Complexity of Computing Kemeny and Slater Rankings. Lirong Xia, Weiqiang Zheng |
| 2021 | The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement. Mingzhe Li, Xiuying Chen, Min Yang, Shen Gao, Dongyan Zhao, Rui Yan |
| 2021 | The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits. Marcelo Arenas, Pablo Barceló, Leopoldo E. Bertossi, Mikaël Monet |
| 2021 | The Undergraduate Games Corpus: A Dataset for Machine Perception of Interactive Media. Barrett R. Anderson, Adam M. Smith |
| 2021 | The Value-Improvement Path: Towards Better Representations for Reinforcement Learning. Will Dabney, André Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David Silver |
| 2021 | Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives. Benjamin Doerr, Weijie Zheng |
| 2021 | Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation. Junhong Shen, Lin F. Yang |
| 2021 | Thinking Fast and Slow in AI. Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava |
| 2021 | Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021 |
| 2021 | Thou Shalt Love Thy Neighbor as Thyself When Thou Playest: Altruism in Game Theory. Jörg Rothe |
| 2021 | Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. Xudong Wang, Stella X. Yu |
| 2021 | Tightening Robustness Verification of Convolutional Neural Networks with Fine-Grained Linear Approximation. Yiting Wu, Min Zhang |
| 2021 | Time Series Anomaly Detection with Multiresolution Ensemble Decoding. Lifeng Shen, Zhongzhong Yu, Qianli Ma, James T. Kwok |
| 2021 | Time Series Domain Adaptation via Sparse Associative Structure Alignment. Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang |
| 2021 | Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff. Jiawei Liu, Zhe Gao, Yangyang Kang, Zhuoren Jiang, Guoxiu He, Changlong Sun, Xiaozhong Liu, Wei Lu |
| 2021 | Time-Independent Planning for Multiple Moving Agents. Keisuke Okumura, Yasumasa Tamura, Xavier Défago |
| 2021 | To Choose or to Fuse? Scale Selection for Crowd Counting. Qingyu Song, Changan Wang, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Jian Wu, Jiayi Ma |
| 2021 | Token-Aware Virtual Adversarial Training in Natural Language Understanding. Linyang Li, Xipeng Qiu |
| 2021 | Tool for Automated Tax Coding of Invoices. Tarun Tater, Sampath Dechu, Neelamadhav Gantayat, Meena Guptha, Sivakumar Narayanan |
| 2021 | Top-k Ranking Bayesian Optimization. Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet |
| 2021 | Topic-Aware Multi-turn Dialogue Modeling. Yi Xu, Hai Zhao, Zhuosheng Zhang |
| 2021 | Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling. Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu |
| 2021 | Topological Machine Learning Methods for Power System Responses to Contingencies. Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel |
| 2021 | Topology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks. Danijela Horak, Simiao Yu, Gholamreza Salimi Khorshidi |
| 2021 | Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs. Jiajun Chen, Huarui He, Feng Wu, Jie Wang |
| 2021 | Toward Determining NFA Equivalence via QBFs (Student Abstract). Hannah Miller, David E. Narváez |
| 2021 | Toward Realistic Virtual Try-on Through Landmark Guided Shape Matching. Guoqiang Liu, Dan Song, Ruofeng Tong, Min Tang |
| 2021 | Toward Robust Long Range Policy Transfer. Wei-Cheng Tseng, Jin-Siang Lin, Yao-Min Feng, Min Sun |
| 2021 | Toward Understanding the Influence of Individual Clients in Federated Learning. Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lyu, Fan Wu, Guihai Chen |
| 2021 | Towards Balanced Defect Prediction with Better Information Propagation. Xianda Zheng, Yuan-Fang Li, Huan Gao, Yuncheng Hua, Guilin Qi |
| 2021 | Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field. Bingbing Xu, Huawei Shen, Bing-Jie Sun, Rong An, Qi Cao, Xueqi Cheng |
| 2021 | Towards Domain Invariant Single Image Dehazing. Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim |
| 2021 | Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu |
| 2021 | Towards Efficient Selection of Activity Trajectories based on Diversity and Coverage. Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang |
| 2021 | Towards Enabling Learnware to Handle Unseen Jobs. Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou |
| 2021 | Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract). Bang Wu, Shirui Pan, Xingliang Yuan |
| 2021 | Towards Fair, Equitable, and Efficient Peer Review. Ivan Stelmakh |
| 2021 | Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui |
| 2021 | Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks. Yu Chen, Sinno Jialin Pan |
| 2021 | Towards Feature Space Adversarial Attack by Style Perturbation. Qiuling Xu, Guanhong Tao, Siyuan Cheng, Xiangyu Zhang |
| 2021 | Towards Fully Automated Manga Translation. Ryota Hinami, Shonosuke Ishiwatari, Kazuhiko Yasuda, Yusuke Matsui |
| 2021 | Towards Generalized Implementation of Wasserstein Distance in GANs. Minkai Xu |
| 2021 | Towards More Practical and Efficient Automatic Dominance Breaking. Jimmy H. M. Lee, Allen Z. Zhong |
| 2021 | Towards Reusable Network Components by Learning Compatible Representations. Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari |
| 2021 | Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution. Jiapeng Wang, Chongyu Liu, Lianwen Jin, Guozhi Tang, Jiaxin Zhang, Shuaitao Zhang, Qianying Wang, Yaqiang Wu, Mingxiang Cai |
| 2021 | Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract). Mingxuan Li, Michael L. Littman |
| 2021 | Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings? Xuancheng Ren, Xu Sun, Houfeng Wang, Qun Liu |
| 2021 | Towards Topic-Aware Slide Generation For Academic Papers With Unsupervised Mutual Learning. Da-Wei Li, Danqing Huang, Tingting Ma, Chin-Yew Lin |
| 2021 | Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration. Christian Tomani, Florian Buettner |
| 2021 | Towards Universal Physical Attacks on Single Object Tracking. Li Ding, Yongwei Wang, Kaiwen Yuan, Minyang Jiang, Ping Wang, Hua Huang, Z. Jane Wang |
| 2021 | Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents. Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro |
| 2021 | Towards a Unifying Framework for Formal Theories of Novelty. Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Lawrence Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer |
| 2021 | Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery. Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor, Sarath Chandar |
| 2021 | Tracking Disease Outbreaks from Sparse Data with Bayesian Inference. Bryan Wilder, Michael J. Mina, Milind Tambe |
| 2021 | Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing. Runze Wang, Zhen-Hua Ling, Jingbo Zhou, Yu Hu |
| 2021 | Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng |
| 2021 | Traffic Flow Prediction with Vehicle Trajectories. Mingqian Li, Panrong Tong, Mo Li, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua |
| 2021 | Traffic Shaping in E-Commercial Search Engine: Multi-Objective Online Welfare Maximization. Liucheng Sun, Chenwei Weng, Chengfu Huo, Weijun Ren, Guochuan Zhang, Xin Li |
| 2021 | Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning. Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin |
| 2021 | Training Binary Neural Network without Batch Normalization for Image Super-Resolution. Xinrui Jiang, Nannan Wang, Jingwei Xin, Keyu Li, Xi Yang, Xinbo Gao |
| 2021 | Training Spiking Neural Networks with Accumulated Spiking Flow. Hao Wu, Yueyi Zhang, Wenming Weng, Yongting Zhang, Zhiwei Xiong, Zheng-Jun Zha, Xiaoyan Sun, Feng Wu |
| 2021 | TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning. Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen |
| 2021 | Transfer Graph Neural Networks for Pandemic Forecasting. George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis |
| 2021 | Transfer Learning for Efficient Iterative Safety Validation. Anthony Corso, Mykel J. Kochenderfer |
| 2021 | Transfer Learning of Engagement Recognition within Robot-Assisted Therapy for Children with Autism. Nazerke Rakhymbayeva, Anara Sandygulova |
| 2021 | Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang |
| 2021 | Translate the Facial Regions You Like Using Self-Adaptive Region Translation. Wenshuang Liu, Wenting Chen, Zhanjia Yang, Linlin Shen |
| 2021 | Treatment Effect Estimation with Disentangled Latent Factors. Weijia Zhang, Lin Liu, Jiuyong Li |
| 2021 | TreeCaps: Tree-Based Capsule Networks for Source Code Processing. Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang |
| 2021 | Treewidth-Aware Complexity in ASP: Not all Positive Cycles are Equally Hard. Jorge Fandinno, Markus Hecher |
| 2021 | Trembling-Hand Perfection and Correlation in Sequential Games. Alberto Marchesi, Nicola Gatti |
| 2021 | Tri-level Robust Clustering Ensemble with Multiple Graph Learning. Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li |
| 2021 | Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data. Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu |
| 2021 | TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments. Tom Bewley, Jonathan Lawry |
| 2021 | Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect. Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu |
| 2021 | Turbocharging Treewidth-Bounded Bayesian Network Structure Learning. Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider |
| 2021 | Twitter Event Summarization by Exploiting Semantic Terms and Graph Network. Quanzhi Li, Qiong Zhang |
| 2021 | Two-Sided Fairness in Non-Personalised Recommendations (Student Abstract). Aadi Swadipto Mondal, Rakesh Bal, Sayan Sinha, Gourab K. Patro |
| 2021 | Two-Stream Convolution Augmented Transformer for Human Activity Recognition. Bing Li, Wei Cui, Wei Wang, Le Zhang, Zhenghua Chen, Min Wu |
| 2021 | Type-augmented Relation Prediction in Knowledge Graphs. Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji |
| 2021 | U-BERT: Pre-training User Representations for Improved Recommendation. Zhaopeng Qiu, Xian Wu, Jingyue Gao, Wei Fan |
| 2021 | UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. Boyuan Feng, Yuke Wang, Yufei Ding |
| 2021 | UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2. Yunyi Yang, Yunhao Li, Xiaojun Quan |
| 2021 | UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
| 2021 | UNIPoint: Universally Approximating Point Processes Intensities. Alexander Soen, Alexander Patrick Mathews, Daniel Grixti-Cheng, Lexing Xie |
| 2021 | UWSpeech: Speech to Speech Translation for Unwritten Languages. Chen Zhang, Xu Tan, Yi Ren, Tao Qin, Kejun Zhang, Tie-Yan Liu |
| 2021 | Unanswerable Question Correction in Question Answering over Personal Knowledge Base. An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2021 | Uncertain Graph Neural Networks for Facial Action Unit Detection. Tengfei Song, Lisha Chen, Wenming Zheng, Qiang Ji |
| 2021 | Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks. Hongfei Du, Emre Barut, Fang Jin |
| 2021 | Uncertainty-Aware Multi-View Representation Learning. Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu |
| 2021 | Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach. James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras |
| 2021 | Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks. Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias |
| 2021 | Unchain the Search Space with Hierarchical Differentiable Architecture Search. Guanting Liu, Yujie Zhong, Sheng Guo, Matthew R. Scott, Weilin Huang |
| 2021 | Uncovering Latent Biases in Text: Method and Application to Peer Review. Emaad A. Manzoor, Nihar B. Shah |
| 2021 | Understanding Catastrophic Overfitting in Single-step Adversarial Training. Hoki Kim, Woojin Lee, Jaewook Lee |
| 2021 | Understanding Decoupled and Early Weight Decay. Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes |
| 2021 | Understanding Deformable Alignment in Video Super-Resolution. Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy |
| 2021 | Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring. Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu |
| 2021 | Unifying Principles and Metrics for Safe and Assistive AI. Siddharth Srivastava |
| 2021 | United for Change: Deliberative Coalition Formation to Change the Status Quo. Edith Elkind, Davide Grossi, Ehud Shapiro, Nimrod Talmon |
| 2021 | Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective. Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon |
| 2021 | Universal Trading for Order Execution with Oracle Policy Distillation. Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu |
| 2021 | Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong |
| 2021 | Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed |
| 2021 | Unsupervised Active Learning via Subspace Learning. Changsheng Li, Kaihang Mao, Lingyan Liang, Dongchun Ren, Wei Zhang, Ye Yuan, Guoren Wang |
| 2021 | Unsupervised Causal Knowledge Extraction from Text using Natural Language Inference (Student Abstract). Manik Bhandari, Mark Feblowitz, Oktie Hassanzadeh, Kavitha Srinivas, Shirin Sohrabi |
| 2021 | Unsupervised Domain Adaptation for Person Re-identification via Heterogeneous Graph Alignment. Minying Zhang, Kai Liu, Yidong Li, Shihui Guo, Hongtao Duan, Yimin Long, Yi Jin |
| 2021 | Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer. Suhyeon Lee, Junhyuk Hyun, Hongje Seong, Euntai Kim |
| 2021 | Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph Auto-Encoder. Yajing Sun, Yong Shan, Chengguang Tang, Yue Hu, Yinpei Dai, Jing Yu, Jian Sun, Fei Huang, Luo Si |
| 2021 | Unsupervised Learning of Discourse Structures using a Tree Autoencoder. Patrick Huber, Giuseppe Carenini |
| 2021 | Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport. Tengfei Ma, Jie Chen |
| 2021 | Unsupervised Model Adaptation for Continual Semantic Segmentation. Serban Stan, Mohammad Rostami |
| 2021 | Unsupervised Opinion Summarization with Content Planning. Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata |
| 2021 | Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders. Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu |
| 2021 | Use of Computer Vision to Develop a Device to Assist Visually Impaired People with Social Distance. Lucas Nadolskis |
| 2021 | User Driven Model Adjustment via Boolean Rule Explanations. Elizabeth M. Daly, Massimiliano Mattetti, Öznur Alkan, Rahul Nair |
| 2021 | Using Hindsight to Anchor Past Knowledge in Continual Learning. Arslan Chaudhry, Albert Gordo, Puneet K. Dokania, Philip H. S. Torr, David Lopez-Paz |
| 2021 | Using Online Planning and Acting to Recover from Cyberattacks on Software-defined Networks. Sunandita Patra, Alexander Velazquez, Myong H. Kang, Dana S. Nau |
| 2021 | Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users. Moussa Doumbouya, Lisa Einstein, Chris Piech |
| 2021 | Using Remote Sensing Imagery and Machine Learning to Predict Poaching in Wildlife Conservation Parks. Rachel Guo |
| 2021 | Using Unsupervised Learning for Data-driven Procurement Demand Aggregation. Eran Shaham, Adam Westerski, Rajaraman Kanagasabai, Amudha Narayanan, Samuel Ong, Jiayu Wong, Manjeet Singh |
| 2021 | VEGA: a Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-offs in AI Translation Services. Mariana Bernagozzi, Biplav Srivastava, Francesca Rossi, Sheema Usmani |
| 2021 | VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning. Xiaowei Hu, Xi Yin, Kevin Lin, Lei Zhang, Jianfeng Gao, Lijuan Wang, Zicheng Liu |
| 2021 | VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization. Kaichen Zhou, Changhao Chen, Bing Wang, Muhamad Risqi Utama Saputra, Niki Trigoni, Andrew Markham |
| 2021 | VRU Pose-SSD: Multiperson Pose Estimation For Automated Driving. Chandan Kumar, Jayanth Ramesh, Bodhisattwa Chakraborty, Renjith Raman, Christoph Weinrich, Anurag Mundhada, Arjun Jain, Fabian B. Flohr |
| 2021 | VSQL: Variational Shadow Quantum Learning for Classification. Guangxi Li, Zhixin Song, Xin Wang |
| 2021 | Value-Decomposition Multi-Agent Actor-Critics. Jianyu Su, Stephen C. Adams, Peter A. Beling |
| 2021 | Variance Penalized On-Policy and Off-Policy Actor-Critic. Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup |
| 2021 | Variational Disentanglement for Rare Event Modeling. Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao |
| 2021 | Variational Fair Clustering. Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed |
| 2021 | Variational Inference for Learning Representations of Natural Language Edits. Edison Marrese-Taylor, Machel Reid, Yutaka Matsuo |
| 2021 | Vector Quantized Bayesian Neural Network Inference for Data Streams. Namuk Park, Taekyu Lee, Songkuk Kim |
| 2021 | Verifiable Machine Ethics in Changing Contexts. Louise A. Dennis, Martin Mose Bentzen, Felix Lindner, Michael Fisher |
| 2021 | Verification and Repair of Neural Networks. Dario Guidotti |
| 2021 | Very Important Person Localization in Unconstrained Conditions: A New Benchmark. Xiao Wang, Zheng Wang, Toshihiko Yamasaki, Wenjun Zeng |
| 2021 | Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi |
| 2021 | Visual Boundary Knowledge Translation for Foreground Segmentation. Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song |
| 2021 | Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images. Hak Gu Kim, Minho Park, Sangmin Lee, Seongyeop Kim, Yong Man Ro |
| 2021 | Visual Concept Reasoning Networks. Taesup Kim, Sungwoong Kim, Yoshua Bengio |
| 2021 | Visual Pivoting for (Unsupervised) Entity Alignment. Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier |
| 2021 | Visual Relation Detection using Hybrid Analogical Learning. Kezhen Chen, Kenneth D. Forbus |
| 2021 | Visual Tracking via Hierarchical Deep Reinforcement Learning. Dawei Zhang, Zhonglong Zheng, Riheng Jia, Minglu Li |
| 2021 | Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion. Josh Roy, George Dimitri Konidaris |
| 2021 | VisualMRC: Machine Reading Comprehension on Document Images. Ryota Tanaka, Kyosuke Nishida, Sen Yoshida |
| 2021 | Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization. Shir Gur, Ameen Ali, Lior Wolf |
| 2021 | Visualizing NLP in Undergraduate Students' Learning about Natural Language. Cecilia O. Alm, Alex Hedges |
| 2021 | Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection. Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, Houqiang Li |
| 2021 | WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning. Qisong Yang, Thiago D. Simão, Simon H. Tindemans, Matthijs T. J. Spaan |
| 2021 | Warm Starting CMA-ES for Hyperparameter Optimization. Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi |
| 2021 | Wasserstein Distributionally Robust Inverse Multiobjective Optimization. Chaosheng Dong, Bo Zeng |
| 2021 | We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale. Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova, Preslav Nakov, Marin Soljacic |
| 2021 | We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell |
| 2021 | Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia |
| 2021 | Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud. Yachao Zhang, Zhonghao Li, Yuan Xie, Yanyun Qu, Cuihua Li, Tao Mei |
| 2021 | Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context. Ziyi Liu, Le Wang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua |
| 2021 | Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests. Jiaao Chen, Diyi Yang |
| 2021 | Weakly-supervised Temporal Action Localization by Uncertainty Modeling. Pilhyeon Lee, Jinglu Wang, Yan Lu, Hyeran Byun |
| 2021 | Web-based Platform for K-12 AI Education in China. Chao Wu, Yan Li, Junxiang Li, Qiongdan Zhang, Fei Wu |
| 2021 | Weighting-based Variable Neighborhood Search for Optimal Camera Placement. Zhouxing Su, Qingyun Zhang, Zhipeng Lü, Chu-Min Li, Weibo Lin, Fuda Ma |
| 2021 | Welfare Guarantees in Schelling Segregation. Martin Bullinger, Warut Suksompong, Alexandros A. Voudouris |
| 2021 | What are GANs?: Introducing Generative Adversarial Networks to Middle School Students. Safinah Arshad Ali, Daniella DiPaola, Cynthia Breazeal |
| 2021 | What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering. Yang Zhou, Yubo Chen, Jun Zhao, Yin Wu, Jiexin Xu, Jinlong Li |
| 2021 | What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models. Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang |
| 2021 | What's the Best Place for an AI Conference, Vancouver or _______: Why Completing Comparative Questions is Difficult. Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen |
| 2021 | When Hashing Met Matching: Efficient Spatio-Temporal Search for Ridesharing. Chinmoy Dutta |
| 2021 | Where there's Smoke, there's Fire: Wildfire Risk Predictive Modeling via Historical Climate Data. Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres |
| 2021 | Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce. Houye Ji, Junxiong Zhu, Xiao Wang, Chuan Shi, Bai Wang, Xiaoye Tan, Yanghua Li, Shaojian He |
| 2021 | Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability. Litu Rout |
| 2021 | Why Do Attributes Propagate in Graph Convolutional Neural Networks? Liang Yang, Chuan Wang, Junhua Gu, Xiaochun Cao, Bingxin Niu |
| 2021 | Why and What to Teach: AI Curriculum for Elementary School. Seonghun Kim, Yeonju Jang, Woojin Kim, Seongyune Choi, HeeSeok Jung, Soo-Hwan Kim, Hyeoncheol Kim |
| 2021 | WildfireNet: Predicting Wildfire Profiles (Student Abstract). Samuel Sung, Yuping Li, Leonard Ortolano |
| 2021 | Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation. Xinyu Zhang, Yirui Wang, Chi-Tung Cheng, Le Lu, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao |
| 2021 | Winning Lottery Tickets in Deep Generative Models. Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi |
| 2021 | Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation. Lincheng Li, Suzhen Wang, Zhimeng Zhang, Yu Ding, Yixing Zheng, Xin Yu, Changjie Fan |
| 2021 | Writing Polishment with Simile: Task, Dataset and A Neural Approach. Jiayi Zhang, Zhi Cui, Xiaoqiang Xia, Yalong Guo, Yanran Li, Chen Wei, Jianwei Cui |
| 2021 | XL-WSD: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense Disambiguation. Tommaso Pasini, Alessandro Raganato, Roberto Navigli |
| 2021 | XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors. Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, S. Kevin Zhou, Rama Chellappa |
| 2021 | YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang |
| 2021 | Zera-Shot Sentiment Analysis for Code-Mixed Data. Siddharth Yadav, Tanmoy Chakraborty |
| 2021 | ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer |
| 2021 | eTREE: Learning Tree-structured Embeddings. Faisal M. Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos |
| 2021 | f-Aware Conflict Prioritization & Improved Heuristics For Conflict-Based Search. Eli Boyarski, Ariel Felner, Pierre Le Bodic, Daniel Damir Harabor, Peter J. Stuckey, Sven Koenig |
| 2021 | i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang |
| 2021 | i-Parser: Interactive Parser Development Kit for Natural Language Processing. Gaku Morio, Hiroaki Ozaki, Yuta Koreeda, Terufumi Morishita, Toshinori Miyoshi |