| 2021 | A Clustering-based framework for Classifying Data Streams. Xuyang Yan, Abdollah Homaifar, Mrinmoy Sarkar, Abenezer Girma, Edward W. Tunstel |
| 2021 | A Comparative Survey: Benchmarking for Pool-based Active Learning. Xueying Zhan, Huan Liu, Qing Li, Antoni B. Chan |
| 2021 | A Comprehensive Survey on Image Dehazing Based on Deep Learning. Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao |
| 2021 | A Compression-Compilation Framework for On-mobile Real-time BERT Applications. Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang |
| 2021 | A Description Logic for Analogical Reasoning. Steven Schockaert, Yazmín Ibáñez-García, Víctor Gutiérrez-Basulto |
| 2021 | A Game-Theoretic Account of Responsibility Allocation. Christel Baier, Florian Funke, Rupak Majumdar |
| 2021 | A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text. Andrea Seveso, Fabio Mercorio, Mario Mezzanzanica |
| 2021 | A Ladder of Causal Distances. Maxime Peyrard, Robert West |
| 2021 | A Multi-Constraint Similarity Learning with Adaptive Weighting for Visible-Thermal Person Re-Identification. Yongguo Ling, Zhiming Luo, Yaojin Lin, Shaozi Li |
| 2021 | A Neural Network Auction For Group Decision Making Over a Continuous Space. Yoram Bachrach, Ian Gemp, Marta Garnelo, János Kramár, Tom Eccles, Dan Rosenbaum, Thore Graepel |
| 2021 | A New Upper Bound Based on Vertex Partitioning for the Maximum K-plex Problem. Hua Jiang, Dongming Zhu, Zhichao Xie, Shaowen Yao, Zhang-Hua Fu |
| 2021 | A Novel Sequence-to-Subgraph Framework for Diagnosis Classification. Jun Chen, Quan Yuan, Chao Lu, Haifeng Huang |
| 2021 | A Polynomial-time, Truthful, Individually Rational and Budget Balanced Ridesharing Mechanism. Tatsuya Iwase, Sebastian Stein, Enrico H. Gerding |
| 2021 | A Rule Mining-based Advanced Persistent Threats Detection System. Sidahmed Benabderrahmane, Ghita Berrada, James Cheney, Petko Valtchev |
| 2021 | A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems. Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin |
| 2021 | A Sequence-to-Set Network for Nested Named Entity Recognition. Zeqi Tan, Yongliang Shen, Shuai Zhang, Weiming Lu, Yueting Zhuang |
| 2021 | A Sketch-Transformer Network for Face Photo-Sketch Synthesis. Mingrui Zhu, Changcheng Liang, Nannan Wang, Xiaoyu Wang, Zhifeng Li, Xinbo Gao |
| 2021 | A Streaming End-to-End Framework For Spoken Language Understanding. Nihal Potdar, Anderson Raymundo Avila, Chao Xing, Dong Wang, Yiran Cao, Xiao Chen |
| 2021 | A Structure Self-Aware Model for Discourse Parsing on Multi-Party Dialogues. Ante Wang, Linfeng Song, Hui Jiang, Shaopeng Lai, Junfeng Yao, Min Zhang, Jinsong Su |
| 2021 | A Survey of Machine Learning-Based Physics Event Generation. Yasir Alanazi, Nobuo Sato, Pawel Ambrozewicz, Astrid N. Hiller Blin, Wally Melnitchouk, Marco Battaglieri, Tianbo Liu, Yaohang Li |
| 2021 | A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen |
| 2021 | A Survey on Goal Recognition as Planning. Felipe Meneguzzi, Ramon Fraga Pereira |
| 2021 | A Survey on Low-Resource Neural Machine Translation. Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu |
| 2021 | A Survey on Response Selection for Retrieval-based Dialogues. Chongyang Tao, Jiazhan Feng, Rui Yan, Wei Wu, Daxin Jiang |
| 2021 | A Survey on Spoken Language Understanding: Recent Advances and New Frontiers. Libo Qin, Tianbao Xie, Wanxiang Che, Ting Liu |
| 2021 | A Survey on Universal Adversarial Attack. Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon |
| 2021 | A Uniform Abstraction Framework for Generalized Planning. Zhenhe Cui, Yongmei Liu, Kailun Luo |
| 2021 | A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction. Sarath Sreedharan, Anagha Kulkarni, David E. Smith, Subbarao Kambhampati |
| 2021 | AI for Planning Public Health Interventions. Aditya Mate |
| 2021 | ALaSca: an Automated approach for Large-Scale Lexical Substitution. Caterina Lacerra, Tommaso Pasini, Rocco Tripodi, Roberto Navigli |
| 2021 | AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He |
| 2021 | AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System. Pengyu Zhao, Kecheng Xiao, Yuanxing Zhang, Kaigui Bian, Wei Yan |
| 2021 | AVA: Adversarial Vignetting Attack against Visual Recognition. Binyu Tian, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Xiaohong Li, Yang Liu |
| 2021 | Abductive Knowledge Induction from Raw Data. Wang-Zhou Dai, Stephen H. Muggleton |
| 2021 | Abductive Learning with Ground Knowledge Base. Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yufeng Li, Stephen H. Muggleton, Yuan Jiang |
| 2021 | Abstract Argumentation Frameworks with Domain Assignments. Alexandros Vassiliades, Theodore Patkos, Giorgos Flouris, Antonis Bikakis, Nick Bassiliades, Dimitris Plexousakis |
| 2021 | Abstract Cores in Implicit Hitting Set MaxSat Solving (Extended Abstract). Jeremias Berg, Fahiem Bacchus, Alex Poole |
| 2021 | Accelerating Neural Architecture Search via Proxy Data. Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon |
| 2021 | Accomplice Manipulation of the Deferred Acceptance Algorithm. Hadi Hosseini, Fatima Umar, Rohit Vaish |
| 2021 | Accounting for Confirmation Bias in Crowdsourced Label Aggregation. Meric Altug Gemalmaz, Ming Yin |
| 2021 | Active Goal Recognition Design. Kevin C. Gall, Wheeler Ruml, Sarah Keren |
| 2021 | Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies. Maurice Funk, Jean Christoph Jung, Carsten Lutz |
| 2021 | AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss. Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo |
| 2021 | Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection. Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang |
| 2021 | Adaptive Edge Attention for Graph Matching with Outliers. Jingwei Qu, Haibin Ling, Chenrui Zhang, Xiaoqing Lyu, Zhi Tang |
| 2021 | Adaptive Experimental Design for Optimizing Combinatorial Structures. Janardhan Rao Doppa |
| 2021 | Adaptive Residue-wise Profile Fusion for Low Homologous Protein Secondary Structure Prediction Using External Knowledge. Qin Wang, Jun Wei, Boyuan Wang, Zhen Li, Sheng Wang, Shuguang Cui |
| 2021 | Addressing the Long-term Impact of ML Decisions via Policy Regret. David Lindner, Hoda Heidari, Andreas Krause |
| 2021 | Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition. Bangjie Yin, Wenxuan Wang, Taiping Yao, Junfeng Guo, Zelun Kong, Shouhong Ding, Jilin Li, Cong Liu |
| 2021 | Adversarial Examples in Physical World. Jiakai Wang |
| 2021 | Adversarial Feature Disentanglement for Long-Term Person Re-identification. Wanlu Xu, Hong Liu, Wei Shi, Ziling Miao, Zhisheng Lu, Feihu Chen |
| 2021 | Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation. Qiao Liu, Hui Xue |
| 2021 | Against Membership Inference Attack: Pruning is All You Need. Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran |
| 2021 | AgeFlow: Conditional Age Progression and Regression with Normalizing Flows. Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan |
| 2021 | Alleviating Road Traffic Congestion with Artificial Intelligence. Guni Sharon |
| 2021 | Almost Envy-Freeness for Groups: Improved Bounds via Discrepancy Theory. Pasin Manurangsi, Warut Suksompong |
| 2021 | Altruism Design in Networked Public Goods Games. Sixie Yu, David Kempe, Yevgeniy Vorobeychik |
| 2021 | An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets. Qianqiao Liang, Mengying Zhu, Xiaolin Zheng, Yan Wang |
| 2021 | An Automated Framework for Supporting Data-Governance Rule Compliance in Decentralized MIMO Contexts. Rui Zhao |
| 2021 | An Axiom System for Feedback Centralities. Tomasz Was, Oskar Skibski |
| 2021 | An Entanglement-driven Fusion Neural Network for Video Sentiment Analysis. Dimitris Gkoumas, Qiuchi Li, Yijun Yu, Dawei Song |
| 2021 | An Examination of Fairness of AI Models for Deepfake Detection. Loc Trinh, Yan Liu |
| 2021 | An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios. Johannes Huegle |
| 2021 | Analogical Proportions: Why They Are Useful in AI. Henri Prade, Gilles Richard |
| 2021 | Anomaly Mining - Past, Present and Future. Leman Akoglu |
| 2021 | Anytime Multi-Agent Path Finding via Large Neighborhood Search. Jiaoyang Li, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Sven Koenig |
| 2021 | Approximating the Shapley Value Using Stratified Empirical Bernstein Sampling. Mark Alexander Burgess, Archie C. Chapman |
| 2021 | Argumentative XAI: A Survey. Kristijonas Cyras, Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni |
| 2021 | Asynchronous Active Learning with Distributed Label Querying. Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, Haibo Ye |
| 2021 | Asynchronous Multi-grained Graph Network For Interpretable Multi-hop Reading Comprehension. Ronghan Li, Lifang Wang, Shengli Wang, Zejun Jiang |
| 2021 | Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising. Mohammad Nikzad, Yongsheng Gao, Jun Zhou |
| 2021 | Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion. Suzhen Wang, Lincheng Li, Yu Ding, Changjie Fan, Xin Yu |
| 2021 | AutoBandit: A Meta Bandit Online Learning System. Miao Xie, Wotao Yin, Huan Xu |
| 2021 | AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression. Baozhou Zhu, H. Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Al-Ars |
| 2021 | Automated Facilitation Support in Online Forum. Wen Gu |
| 2021 | Automated Fact-Checking for Assisting Human Fact-Checkers. Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino |
| 2021 | Automated Machine Learning on Graphs: A Survey. Ziwei Zhang, Xin Wang, Wenwu Zhu |
| 2021 | Automatic Design of Heuristic Algorithms for Binary Optimization Problems. Marcelo de Souza |
| 2021 | Automatic Mixed-Precision Quantization Search of BERT. Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin |
| 2021 | Automatic Translation of Music-to-Dance for In-Game Characters. Yinglin Duan, Tianyang Shi, Zhipeng Hu, Zhengxia Zou, Changjie Fan, Yi Yuan, Xi Li |
| 2021 | Automatically Paraphrasing via Sentence Reconstruction and Round-trip Translation. Zilu Guo, Zhongqiang Huang, Kenny Q. Zhu, Guandan Chen, Kaibo Zhang, Boxing Chen, Fei Huang |
| 2021 | Average-Reward Reinforcement Learning with Trust Region Methods. Xiaoteng Ma, Xiaohang Tang, Li Xia, Jun Yang, Qianchuan Zhao |
| 2021 | BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song |
| 2021 | BAMBOO: A Multi-instance Multi-label Approach Towards VDI User Logon Behavior Modeling. Wen-Ping Fan, Yao Zhang, Qichen Hao, Xinya Wu, Min-Ling Zhang |
| 2021 | BESA: BERT-based Simulated Annealing for Adversarial Text Attacks. Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu |
| 2021 | BKT-POMDP: Fast Action Selection for User Skill Modelling over Tasks with Multiple Skills. Nicole Salomons, Emir Akdere, Brian Scassellati |
| 2021 | BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing. Aritra Ghosh, Andrew S. Lan |
| 2021 | Backdoor DNFs. Sebastian Ordyniak, André Schidler, Stefan Szeider |
| 2021 | Bayesian Experience Reuse for Learning from Multiple Demonstrators. Mike Gimelfarb, Scott Sanner, Chi-Guhn Lee |
| 2021 | Bayesian Nonparametric Space Partitions: A Survey. Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson |
| 2021 | Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning. Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu |
| 2021 | Best-Effort Synthesis: Doing Your Best Is Not Harder Than Giving Up. Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin |
| 2021 | Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract). Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh |
| 2021 | Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. Yang He, Ning Yu, Margret Keuper, Mario Fritz |
| 2021 | Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. Maximilian Spliethöver, Henning Wachsmuth |
| 2021 | Bipartite Matching for Crowd Counting with Point Supervision. Hao Liu, Qiang Zhao, Yike Ma, Feng Dai |
| 2021 | Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks. Kai-Lang Yao, Wu-Jun Li |
| 2021 | Boosting Offline Reinforcement Learning with Residual Generative Modeling. Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li |
| 2021 | Boosting Variational Inference With Locally Adaptive Step-Sizes. Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, Gunnar Rätsch |
| 2021 | Bottleneck Identification to Semantic Segmentation of Industrial 3D Point Cloud Scene via Deep Learning. Romain Cazorla, Line Poinel, Panagiotis Papadakis, Cédric Buche |
| 2021 | Boundary Knowledge Translation based Reference Semantic Segmentation. Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song |
| 2021 | Bounded Predicates in Description Logics with Counting. Sanja Lukumbuzya, Mantas Simkus |
| 2021 | Bounded-cost Search Using Estimates of Uncertainty. Maximilian Fickert, Tianyi Gu, Wheeler Ruml |
| 2021 | Budget-Constrained Coalition Strategies with Discounting. Lia Bozzone, Pavel Naumov |
| 2021 | Budget-feasible Maximum Nash Social Welfare is Almost Envy-free. Xiaowei Wu, Bo Li, Jiarui Gan |
| 2021 | Budget-feasible Mechanisms for Representing Groups of Agents Proportionally. Xiang Liu, Hau Chan, Minming Li, Weiwei Wu |
| 2021 | Building Affordance Relations for Robotic Agents - A Review. Paola Ardón, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, Ron P. A. Petrick |
| 2021 | CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An |
| 2021 | CIMON: Towards High-quality Hash Codes. Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua |
| 2021 | CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction. Chengshuai Zhao, Shuai Liu, Feng Huang, Shichao Liu, Wen Zhang |
| 2021 | Cardinality Queries over DL-Lite Ontologies. Meghyn Bienvenu, Quentin Manière, Michaël Thomazo |
| 2021 | Causal Discovery with Multi-Domain LiNGAM for Latent Factors. Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao |
| 2021 | Causal Learning for Socially Responsible AI. Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu |
| 2021 | Challenges and Opportunities of Building Fast GBDT Systems. Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui |
| 2021 | Change Matters: Medication Change Prediction with Recurrent Residual Networks. Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun |
| 2021 | Change the World - How Hard Can that Be? On the Computational Complexity of Fixing Planning Models. Songtuan Lin, Pascal Bercher |
| 2021 | Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks. Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin |
| 2021 | Choice Logics and Their Computational Properties. Michael Bernreiter, Jan Maly, Stefan Woltran |
| 2021 | Choosing the Right Algorithm With Hints From Complexity Theory. Shouda Wang, Weijie Zheng, Benjamin Doerr |
| 2021 | Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads. Chenyu Gao, Qi Zhu, Peng Wang, Qi Wu |
| 2021 | Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning. Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein |
| 2021 | Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data. Zhe Xue, Junping Du, Changwei Zheng, Jie Song, Wenqi Ren, MeiYu Liang |
| 2021 | CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation. Jing Yu, Yuan Chai, Yujing Wang, Yue Hu, Qi Wu |
| 2021 | Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning |
| 2021 | Combinatorial Optimization and Reasoning with Graph Neural Networks. Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic |
| 2021 | Combining Fairness and Optimality when Selecting and Allocating Projects. Khaled Belahcène, Vincent Mousseau, Anaëlle Wilczynski |
| 2021 | Combining Reinforcement Learning and Causal Models for Robotics Applications. Arquímides Méndez-Molina |
| 2021 | Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu. Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen |
| 2021 | Communication-efficient and Scalable Decentralized Federated Edge Learning. Austine Zong Han Yapp, Hong Soo Nicholas Koh, Yan Ting Lai, Jiawen Kang, Xuandi Li, Jer Shyuan Ng, Hongchao Jiang, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato |
| 2021 | Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun |
| 2021 | Comparing Weak Admissibility Semantics to their Dung-style Counterparts (Extended Abstract). Ringo Baumann, Gerhard Brewka, Markus Ulbricht |
| 2021 | Compositional Neural Logic Programming. Son N. Tran |
| 2021 | Compressing Exact Cover Problems with Zero-suppressed Binary Decision Diagrams. Masaaki Nishino, Norihito Yasuda, Kengo Nakamura |
| 2021 | Computing Optimal Hypertree Decompositions with SAT. André Schidler, Stefan Szeider |
| 2021 | Conditional Self-Supervised Learning for Few-Shot Classification. Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang |
| 2021 | Connect Multi-Agent Path Finding: Generation and Visualization. Arthur Queffelec, Ocan Sankur, François Schwarzentruber |
| 2021 | Consistent Inference for Dialogue Relation Extraction. Xinwei Long, Shuzi Niu, Yucheng Li |
| 2021 | Context-Aware Image Inpainting with Learned Semantic Priors. Wendong Zhang, Junwei Zhu, Ying Tai, Yunbo Wang, Wenqing Chu, Bingbing Ni, Chengjie Wang, Xiaokang Yang |
| 2021 | Context-aware Cross-level Fusion Network for Camouflaged Object Detection. Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu |
| 2021 | Continual Lifelong Learning for Intelligent Agents. Ghada Sokar |
| 2021 | Contrastive Losses and Solution Caching for Predict-and-Optimize. Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns |
| 2021 | Contrastive Model Invertion for Data-Free Knolwedge Distillation. Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song |
| 2021 | Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract). Marco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims |
| 2021 | ConvLogMiner: A Real-Time Conversational Lifelog Miner. Pei-Wei Kao, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2021 | Convexified Graph Neural Networks for Distributed Control in Robotic Swarms. Saar Cohen, Noa Agmon |
| 2021 | Cooperation in Threshold Public Projects with Binary Actions. Yiling Chen, Biaoshuai Tao, Fang-Yi Yu |
| 2021 | Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data. Qingxiong Tan, Mang Ye, Grace Lai-Hung Wong, Pong Chi Yuen |
| 2021 | Correlation-Guided Representation for Multi-Label Text Classification. Qian-Wen Zhang, Ximing Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao, Min-Ling Zhang |
| 2021 | Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR. Anton Korikov, Alexander Shleyfman, J. Christopher Beck |
| 2021 | Coupling Intent and Action for Pedestrian Crossing Behavior Prediction. Yu Yao, Ella M. Atkins, Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du |
| 2021 | Cross-Domain Few-Shot Classification via Adversarial Task Augmentation. Haoqing Wang, Zhi-Hong Deng |
| 2021 | Cross-Domain Recommendation: Challenges, Progress, and Prospects. Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu |
| 2021 | Cross-Domain Slot Filling as Machine Reading Comprehension. Mengshi Yu, Jian Liu, Yufeng Chen, Jinan Xu, Yujie Zhang |
| 2021 | CuCo: Graph Representation with Curriculum Contrastive Learning. Guanyi Chu, Xiao Wang, Chuan Shi, Xunqiang Jiang |
| 2021 | Custom-Design of FDR Encodings: The Case of Red-Black Planning. Daniel Fiser, Daniel Gnad, Michael Katz, Jörg Hoffmann |
| 2021 | DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation. Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2021 | DACBench: A Benchmark Library for Dynamic Algorithm Configuration. Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer |
| 2021 | DEEPSPLIT: An Efficient Splitting Method for Neural Network Verification via Indirect Effect Analysis. Patrick Henriksen, Alessio Lomuscio |
| 2021 | DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization. Noor H. Awad, Neeratyoy Mallik, Frank Hutter |
| 2021 | Data Efficient Algorithms and Interpretability Requirements for Personalized Assessment of Taskable AI Systems. Pulkit Verma |
| 2021 | Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling. Naveen Raman, Sanket Shah, John P. Dickerson |
| 2021 | Data-Efficient Reinforcement Learning for Malaria Control. Lixin Zou |
| 2021 | Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract). Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti |
| 2021 | Decision Making with Differential Privacy under a Fairness Lens. Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck, Zhiyan Yao |
| 2021 | Decomposable-Net: Scalable Low-Rank Compression for Neural Networks. Atsushi Yaguchi, Taiji Suzuki, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa |
| 2021 | Decomposition Strategies to Count Integer Solutions over Linear Constraints. Cunjing Ge, Armin Biere |
| 2021 | Decomposition-Guided Reductions for Argumentation and Treewidth. Johannes Klaus Fichte, Markus Hecher, Yasir Mahmood, Arne Meier |
| 2021 | Deep Automatic Natural Image Matting. Jizhizi Li, Jing Zhang, Dacheng Tao |
| 2021 | Deep Bucket Elimination. Yasaman Razeghi, Kalev Kask, Yadong Lu, Pierre Baldi, Sakshi Agarwal, Rina Dechter |
| 2021 | Deep Descriptive Clustering. Hongjing Zhang, Ian Davidson |
| 2021 | Deep Drone Acrobatics (Extended Abstract). Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza |
| 2021 | Deep Learning for Click-Through Rate Estimation. Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He |
| 2021 | Deep Reinforcement Learning Boosted Partial Domain Adaptation. Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li |
| 2021 | Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots. Huiqiao Fu, Kaiqiang Tang, Peng Li, Wenqi Zhang, Xinpeng Wang, Guizhou Deng, Tao Wang, Chunlin Chen |
| 2021 | Deep Reinforcement Learning for Navigation in AAA Video Games. Eloi Alonso, Maxim Peter, David Goumard, Joshua Romoff |
| 2021 | Deep Reinforcement Learning with Hierarchical Structures. Siyuan Li |
| 2021 | Deep Residual Reinforcement Learning (Extended Abstract). Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson |
| 2021 | Deep Unified Cross-Modality Hashing by Pairwise Data Alignment. Yimu Wang, Bo Xue, Quan Cheng, Yuhui Chen, Lijun Zhang |
| 2021 | DeepME: Deep Mixture Experts for Large-scale Image Classification. Ming He, Guangyi Lv, Weidong He, Jianping Fan, Guihua Zeng |
| 2021 | Defining the Semantics of Abstract Argumentation Frameworks through Logic Programs and Partial Stable Models (Extended Abstract). Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna |
| 2021 | Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity. Yajie Wang, Shangbo Wu, Wenyi Jiang, Shengang Hao, Yu-an Tan, Quanxin Zhang |
| 2021 | Dependent Multi-Task Learning with Causal Intervention for Image Captioning. Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin |
| 2021 | Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces. Lukas Miklautz, Lena G. M. Bauer, Dominik Mautz, Sebastian Tschiatschek, Christian Böhm, Claudia Plant |
| 2021 | Detecting Deepfake Videos with Temporal Dropout 3DCNN. Daichi Zhang, Chenyu Li, Fanzhao Lin, Dan Zeng, Shiming Ge |
| 2021 | Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization. Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng |
| 2021 | Dialogue Disentanglement in Software Engineering: How Far are We? Ziyou Jiang, Lin Shi, Celia Chen, Jun Hu, Qing Wang |
| 2021 | Differentially Private Correlation Alignment for Domain Adaptation. Kaizhong Jin, Xiang Cheng, Jiaxi Yang, Kaiyuan Shen |
| 2021 | Differentially Private Pairwise Learning Revisited. Zhiyu Xue, Shaoyang Yang, Mengdi Huai, Di Wang |
| 2021 | Dig into Multi-modal Cues for Video Retrieval with Hierarchical Alignment. Wenzhe Wang, Mengdan Zhang, Runnan Chen, Guanyu Cai, Penghao Zhou, Pai Peng, Xiaowei Guo, Jian Wu, Xing Sun |
| 2021 | Direct Measure Matching for Crowd Counting. Hui Lin, Xiaopeng Hong, Zhiheng Ma, Xing Wei, Yunfeng Qiu, Yaowei Wang, Yihong Gong |
| 2021 | Direction-aware Feature-level Frequency Decomposition for Single Image Deraining. Sen Deng, Yidan Feng, Mingqiang Wei, Haoran Xie, Yiping Chen, Jonathan Li, Xiao-Ping Zhang, Jing Qin |
| 2021 | Discourse-Level Event Temporal Ordering with Uncertainty-Guided Graph Completion. Jian Liu, Jinan Xu, Yufeng Chen, Yujie Zhang |
| 2021 | Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang |
| 2021 | Discrete Multiple Kernel k-means. Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li |
| 2021 | Disentangled Face Attribute Editing via Instance-Aware Latent Space Search. Yuxuan Han, Jiaolong Yang, Ying Fu |
| 2021 | Distance Polymatrix Coordination Games. Alessandro Aloisio, Michele Flammini, Bojana Kodric, Cosimo Vinci |
| 2021 | Distortion in Social Choice Problems: The First 15 Years and Beyond. Elliot Anshelevich, Aris Filos-Ratsikas, Nisarg Shah, Alexandros A. Voudouris |
| 2021 | Distributional Metareasoning for Heuristic Search. Tianyi Gu |
| 2021 | Diversity in Kemeny Rank Aggregation: A Parameterized Approach. Emmanuel Arrighi, Henning Fernau, Daniel Lokshtanov, Mateus de Oliveira Oliveira, Petra Wolf |
| 2021 | Document-level Relation Extraction as Semantic Segmentation. Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen |
| 2021 | Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data. Yatong Sun, Bin Wang, Zhu Sun, Xiaochun Yang |
| 2021 | Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference. Xiaofeng Liu, Bo Hu, Linghao Jin, Xu Han, Fangxu Xing, Jinsong Ouyang, Jun Lu, Georges El Fakhri, Jonghye Woo |
| 2021 | Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval. Zhipeng Wang, Hao Wang, Jiexi Yan, Aming Wu, Cheng Deng |
| 2021 | Dominant Resource Fairness with Meta-Types. Steven Yin, Shatian Wang, Lingyi Zhang, Christian Kroer |
| 2021 | Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin |
| 2021 | Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining. Ningyu Zhang, Shumin Deng, Xu Cheng, Xi Chen, Yichi Zhang, Wei Zhang, Huajun Chen |
| 2021 | Dual Active Learning for Both Model and Data Selection. Ying-Peng Tang, Sheng-Jun Huang |
| 2021 | Dual Reweighting Domain Generalization for Face Presentation Attack Detection. Shubao Liu, Ke-Yue Zhang, Taiping Yao, Kekai Sheng, Shouhong Ding, Ying Tai, Jilin Li, Yuan Xie, Lizhuang Ma |
| 2021 | Dual-Cross Central Difference Network for Face Anti-Spoofing. Zitong Yu, Yunxiao Qin, Hengshuang Zhao, Xiaobai Li, Guoying Zhao |
| 2021 | Dynamic Inconsistency-aware DeepFake Video Detection. Ziheng Hu, Hongtao Xie, Yuxin Wang, Jiahong Li, Zhongyuan Wang, Yongdong Zhang |
| 2021 | Dynamic Lane Traffic Signal Control with Group Attention and Multi-Timescale Reinforcement Learning. Qize Jiang, Jingze Li, Weiwei Sun, Baihua Zheng |
| 2021 | Dynamic Proportional Rankings. Jonas Israel, Markus Brill |
| 2021 | Dynamic Rebalancing Dockless Bike-Sharing System based on Station Community Discovery. Jingjing Li, Qiang Wang, Wenqi Zhang, Donghai Shi, Zhiwei Qin |
| 2021 | Efficient Black-Box Planning Using Macro-Actions with Focused Effects. Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro |
| 2021 | Efficient Neural Network Verification via Layer-based Semidefinite Relaxations and Linear Cuts. Ben Batten, Panagiotis Kouvaros, Alessio Lomuscio, Yang Zheng |
| 2021 | Efficient PAC Reinforcement Learning in Regular Decision Processes. Alessandro Ronca, Giuseppe De Giacomo |
| 2021 | Efficiently Explaining CSPs with Unsatisfiable Subset Optimization. Emilio Gamba, Bart Bogaerts, Tias Guns |
| 2021 | Electrocardio Panorama: Synthesizing New ECG views with Self-supervision. Jintai Chen, Xiangshang Zheng, Hongyun Yu, Danny Z. Chen, Jian Wu |
| 2021 | EmbedMask: Embedding Coupling for Instance Segmentation. Hui Ying, Zhaojin Huang, Shu Liu, Tianjia Shao, Kun Zhou |
| 2021 | Emergent Prosociality in Multi-Agent Games Through Gifting. Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh |
| 2021 | Emerging Methods of Auction Design in Social Networks. Yuhang Guo, Dong Hao |
| 2021 | Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation. Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao |
| 2021 | End-to-End Constrained Optimization Learning: A Survey. James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder |
| 2021 | Enhance Image as You Like with Unpaired Learning. Xiaopeng Sun, Muxingzi Li, Tianyu He, Lubin Fan |
| 2021 | Enhancing Label Representations with Relational Inductive Bias Constraint for Fine-Grained Entity Typing. Jinqing Li, Xiaojun Chen, Dakui Wang, Yuwei Li |
| 2021 | Epsilon Best Arm Identification in Spectral Bandits. Tomás Kocák, Aurélien Garivier |
| 2021 | Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study. Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar |
| 2021 | Even More Effort Towards Improved Bounds and Fixed-Parameter Tractability for Multiwinner Rules. Sushmita Gupta, Pallavi Jain, Saket Saurabh, Nimrod Talmon |
| 2021 | Event-based Action Recognition Using Motion Information and Spiking Neural Networks. Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan |
| 2021 | EventDrop: Data Augmentation for Event-based Learning. Fuqiang Gu, Weicong Sng, Xuke Hu, Fangwen Yu |
| 2021 | Evolutionary Gradient Descent for Non-convex Optimization. Ke Xue, Chao Qian, Ling Xu, Xudong Fei |
| 2021 | Exact Acceleration of K-Means++ and K-Means||. Edward Raff |
| 2021 | Exemplification Modeling: Can You Give Me an Example, Please? Edoardo Barba, Luigi Procopio, Caterina Lacerra, Tommaso Pasini, Roberto Navigli |
| 2021 | Explaining Deep Neural Network Models with Adversarial Gradient Integration. Deng Pan, Xin Li, Dongxiao Zhu |
| 2021 | Explaining Self-Supervised Image Representations with Visual Probing. Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zielinski |
| 2021 | Explanation in Constraint Satisfaction: A Survey. Sharmi Dev Gupta, Begum Genc, Barry O'Sullivan |
| 2021 | Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei |
| 2021 | Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation. Gaode Chen, Xinghua Zhang, Yanyan Zhao, Cong Xue, Ji Xiang |
| 2021 | Exploring the Effects of Goal Setting When Training for Complex Crowdsourcing Tasks (Extended Abstract). Amy Rechkemmer, Ming Yin |
| 2021 | Fair Pairwise Exchange among Groups. Zhaohong Sun, Taiki Todo, Toby Walsh |
| 2021 | Fair and Efficient Resource Allocation with Partial Information. Daniel Halpern, Nisarg Shah |
| 2021 | Fairness in Long-Term Participatory Budgeting. Martin Lackner, Jan Maly, Simon Rey |
| 2021 | Fast Algorithms for Relational Marginal Polytopes. Yuanhong Wang, Timothy van Bremen, Juhua Pu, Yuyi Wang, Ondrej Kuzelka |
| 2021 | Fast Multi-label Learning. Xiuwen Gong, Dong Yuan, Wei Bao |
| 2021 | Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints. Chao Bian, Chao Qian, Frank Neumann, Yang Yu |
| 2021 | Faster Guarantees of Evolutionary Algorithms for Maximization of Monotone Submodular Functions. Victoria G. Crawford |
| 2021 | Faster Smarter Proof by Induction in Isabelle/HOL. Yutaka Nagashima |
| 2021 | Feature Space Targeted Attacks by Statistic Alignment. Lianli Gao, Yaya Cheng, Qilong Zhang, Xing Xu, Jingkuan Song |
| 2021 | FedSpeech: Federated Text-to-Speech with Continual Learning. Ziyue Jiang, Yi Ren, Ming Lei, Zhou Zhao |
| 2021 | Federated Learning with Fair Averaging. Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Chenglu Wen, Cheng Wang, Rongshan Yu |
| 2021 | Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization. Rui Hu, Yanmin Gong, Yuanxiong Guo |
| 2021 | Federated Model Distillation with Noise-Free Differential Privacy. Lichao Sun, Lingjuan Lyu |
| 2021 | Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images. Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan |
| 2021 | Few-Shot Partial-Label Learning. Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi |
| 2021 | Few-shot Neural Human Performance Rendering from Sparse RGBD Videos. Anqi Pang, Xin Chen, Haimin Luo, Minye Wu, Jingyi Yu, Lan Xu |
| 2021 | Finding the Hardest Formulas for Resolution (Extended Abstract). Tomás Peitl, Stefan Szeider |
| 2021 | Fine-Grained Air Quality Inference via Multi-Channel Attention Model. Qilong Han, Dan Lu, Rui Chen |
| 2021 | Fine-grained Generalization Analysis of Structured Output Prediction. Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft |
| 2021 | Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models. Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu |
| 2021 | Finite-Trace and Generalized-Reactivity Specifications in Temporal Synthesis. Giuseppe De Giacomo, Antonio Di Stasio, Lucas M. Tabajara, Moshe Y. Vardi, Shufang Zhu |
| 2021 | Focus on Interaction: A Novel Dynamic Graph Model for Joint Multiple Intent Detection and Slot Filling. Zeyuan Ding, Zhihao Yang, Hongfei Lin, Jian Wang |
| 2021 | Fractional Matchings under Preferences: Stability and Optimality. Jiehua Chen, Sanjukta Roy, Manuel Sorge |
| 2021 | From Computational Social Choice to Digital Democracy. Markus Brill |
| 2021 | GAEN: Graph Attention Evolving Networks. Min Shi, Yu Huang, Xingquan Zhu, Yufei Tang, Yuan Zhuang, Jianxun Liu |
| 2021 | GASP: Gated Attention for Saliency Prediction. Fares Abawi, Tom Weber, Stefan Wermter |
| 2021 | GM-MLIC: Graph Matching based Multi-Label Image Classification. Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu |
| 2021 | GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data. Danyang Wu, Jin Xu, Xia Dong, Meng Liao, Rong Wang, Feiping Nie, Xuelong Li |
| 2021 | Game-theoretic Analysis of Effort Allocation of Contributors to Public Projects. Jared Soundy, Chenhao Wang, Clay Stevens, Hau Chan |
| 2021 | Generalized Kings and Single-Elimination Winners in Random Tournaments. Pasin Manurangsi, Warut Suksompong |
| 2021 | Generalizing to Unseen Domains: A Survey on Domain Generalization. Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin |
| 2021 | Generating Senses and RoLes: An End-to-End Model for Dependency- and Span-based Semantic Role Labeling. Rexhina Blloshmi, Simone Conia, Rocco Tripodi, Roberto Navigli |
| 2021 | Generative Adversarial Neural Architecture Search. Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui |
| 2021 | Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification. Xiaobin Liu, Shiliang Zhang |
| 2021 | Graph Debiased Contrastive Learning with Joint Representation Clustering. Han Zhao, Xu Yang, Zhenru Wang, Erkun Yang, Cheng Deng |
| 2021 | Graph Deformer Network. Wenting Zhao, Yuan Fang, Zhen Cui, Tong Zhang, Jian Yang |
| 2021 | Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints. Yun Peng, Byron Choi, Jianliang Xu |
| 2021 | Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He |
| 2021 | Graph Filter-based Multi-view Attributed Graph Clustering. Zhiping Lin, Zhao Kang |
| 2021 | Graph Learning based Recommender Systems: A Review. Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu |
| 2021 | Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models. Xiao Zang, Yi Xie, Jie Chen, Bo Yuan |
| 2021 | Graph-Augmented Code Summarization in Computational Notebooks. April Yi Wang, Dakuo Wang, Xuye Liu, Lingfei Wu |
| 2021 | Graph-Free Knowledge Distillation for Graph Neural Networks. Xiang Deng, Zhongfei Zhang |
| 2021 | GraphMI: Extracting Private Graph Data from Graph Neural Networks. Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen |
| 2021 | GraphReach: Position-Aware Graph Neural Network using Reachability Estimations. Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu |
| 2021 | Graphical Cake Cutting via Maximin Share. Edith Elkind, Erel Segal-Halevi, Warut Suksompong |
| 2021 | Greybox Algorithm Configuration. Marie Anastacio |
| 2021 | Guaranteeing Maximin Shares: Some Agents Left Behind. Hadi Hosseini, Andrew Searns |
| 2021 | Guided Attention Network for Concept Extraction. Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu |
| 2021 | H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning. He Yang |
| 2021 | HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang |
| 2021 | HIVE: Hierarchical Information Visualization for Explainability. Yi-Ning Juan, Yi-Shyuan Chiang, Shang-Chuan Liu, Ming-Feng Tsai, Chuan-Ju Wang |
| 2021 | Handling Overlaps When Lifting Gaussian Bayesian Networks. Mattis Hartwig, Tanya Braun, Ralf Möller |
| 2021 | Hardware-Aware Neural Architecture Search: Survey and Taxonomy. Hadjer Benmeziane, Kaoutar El Maghraoui, Hamza Ouarnoughi, Smaïl Niar, Martin Wistuba, Naigang Wang |
| 2021 | Hardware-friendly Deep Learning by Network Quantization and Binarization. Haotong Qin |
| 2021 | Heterogeneous Graph Information Bottleneck. Liang Yang, Fan Wu, Zichen Zheng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo |
| 2021 | Heuristic Search for Approximating One Matrix in Terms of Another Matrix. Guihong Wan, Haim Schweitzer |
| 2021 | Hiding Numerical Vectors in Local Private and Shuffled Messages. Shaowei Wang, Jin Li, Yuqiu Qian, Jiachun Du, Wenqing Lin, Wei Yang |
| 2021 | Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction. Heyuan Wang, Shun Li, Tengjiao Wang, Jiayi Zheng |
| 2021 | Hierarchical Class-Based Curriculum Loss. Palash Goyal, Divya Choudhary, Shalini Ghosh |
| 2021 | Hierarchical Graph Traversal for Aggregate k Nearest Neighbors Search in Road Networks (Extended Abstract). Tenindra Abeywickrama, Muhammad Aamir Cheema, Sabine Storandt |
| 2021 | Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing. Junshuang Wu, Richong Zhang, Yongyi Mao, Masoumeh Soflaei Shahrbabak, Jinpeng Huai |
| 2021 | Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering. Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran |
| 2021 | Hierarchical Self-supervised Augmented Knowledge Distillation. Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu |
| 2021 | Hierarchical Temporal Multi-Instance Learning for Video-based Student Learning Engagement Assessment. Jiayao Ma, Xinbo Jiang, Songhua Xu, Xueying Qin |
| 2021 | HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping. Yuhan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji |
| 2021 | Hindsight Trust Region Policy Optimization. Hanbo Zhang, Site Bai, Xuguang Lan, David Hsu, Nanning Zheng |
| 2021 | Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen |
| 2021 | How Hard to Tell? Complexity of Belief Manipulation Through Propositional Announcements. Thomas Eiter, Aaron Hunter, François Schwarzentruber |
| 2021 | Human-AI Collaboration with Bandit Feedback. Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease |
| 2021 | Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey. Paolo Morettin, Pedro Zuidberg Dos Martires, Samuel Kolb, Andrea Passerini |
| 2021 | HyperLDLf: a Logic for Checking Properties of Finite Traces Process Logs. Giuseppe De Giacomo, Paolo Felli, Marco Montali, Giuseppe Perelli |
| 2021 | Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering. Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang, Albert Y. Zomaya |
| 2021 | IIAS: An Intelligent Insurance Assessment System through Online Real-time Conversation Analysis. Mengdi Zhou, Shuang Peng, Minghui Yang, Nan Li, Hongbin Wang, Li Qiao, Haitao Mi, Zujie Wen, Teng Xu, Lei Liu |
| 2021 | IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement. Jie Li, Laiyan Ding, Rui Huang |
| 2021 | Identifying Norms from Observation Using MCMC Sampling. Stephen Cranefield, Ashish Dhiman |
| 2021 | If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth |
| 2021 | Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract). Anjali Sifar, Nisheeth Srivastava |
| 2021 | Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming. Fulya Trösser, Simon de Givry, George Katsirelos |
| 2021 | Improved Algorithms for Allen's Interval Algebra: a Dynamic Programming Approach. Leif Eriksson, Victor Lagerkvist |
| 2021 | Improved CP-Based Lagrangian Relaxation Approach with an Application to the TSP. Raphaël Boudreault, Claude-Guy Quimper |
| 2021 | Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract). Michal Derezinski, Rajiv Khanna, Michael W. Mahoney |
| 2021 | Improving Context-Aware Neural Machine Translation with Source-side Monolingual Documents. Linqing Chen, Junhui Li, Zhengxian Gong, Xiangyu Duan, Boxing Chen, Weihua Luo, Min Zhang, Guodong Zhou |
| 2021 | Improving Multi-agent Coordination by Learning to Estimate Contention. Panayiotis Danassis, Florian Wiedemair, Boi Faltings |
| 2021 | Improving Sequential Recommendation Consistency with Self-Supervised Imitation. Xu Yuan, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Zhuoye Ding |
| 2021 | Improving Stylized Neural Machine Translation with Iterative Dual Knowledge Transfer. Xuanxuan Wu, Jian Liu, Xinjie Li, Jinan Xu, Yufeng Chen, Yujie Zhang, Hui Huang |
| 2021 | Improving Text Generation with Dynamic Masking and Recovering. Zhidong Liu, Junhui Li, Muhua Zhu |
| 2021 | Improving Welfare in One-Sided Matchings using Simple Threshold Queries. Thomas Ma, Vijay Menon, Kate Larson |
| 2021 | Inconsistency Measurement for Paraconsistent Inference. Yakoub Salhi |
| 2021 | Incorporating Queueing Dynamics into Schedule-Driven Traffic Control. Hsu-Chieh Hu, Allen M. Hawkes, Stephen F. Smith |
| 2021 | Independence-aware Advantage Estimation. Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu |
| 2021 | InfOCF-Web: An Online Tool for Nonmonotonic Reasoning with Conditionals and Ranking Functions. Steven Kutsch, Christoph Beierle |
| 2021 | Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism. Junchi Liang, Abdeslam Boularias |
| 2021 | Information Bottleneck Approach to Spatial Attention Learning. Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu |
| 2021 | Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities. Shujian Yu, Luis G. Sánchez Giraldo, José C. Príncipe |
| 2021 | Instance-Aware Coherent Video Style Transfer for Chinese Ink Wash Painting. Hao Liang, Shuai Yang, Wenjing Wang, Jiaying Liu |
| 2021 | Intelligent and Learning Agents: Four Investigations. Shivaram Kalyanakrishnan |
| 2021 | Intensional and Extensional Views in DL-Lite Ontologies. Marco Console, Giuseppe De Giacomo, Maurizio Lenzerini, Manuel Namici |
| 2021 | Inter-Task Similarity for Lifelong Reinforcement Learning in Heterogeneous Tasks. Sergio A. Serrano |
| 2021 | Interacting with Explanations through Critiquing. Diego Antognini, Claudiu Musat, Boi Faltings |
| 2021 | Interaction Considerations in Learning from Humans. Pallavi Koppol, Henny Admoni, Reid G. Simmons |
| 2021 | Interactive Video Acquisition and Learning System for Motor Assessment of Parkinson's Disease. Yunyue Wei, Bingquan Zhu, Chen Hou, Chen Zhang, Yanan Sui |
| 2021 | Interference-free Walks in Time: Temporally Disjoint Paths. Nina Klobas, George B. Mertzios, Hendrik Molter, Rolf Niedermeier, Philipp Zschoche |
| 2021 | Interpretable Compositional Convolutional Neural Networks. Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Jiaqi Fan, Ping Zhao, Quanshi Zhang |
| 2021 | Interpretable Minority Synthesis for Imbalanced Classification. Yi He, Fudong Lin, Xu Yuan, Nian-Feng Tzeng |
| 2021 | InverseNet: Augmenting Model Extraction Attacks with Training Data Inversion. Xueluan Gong, Yanjiao Chen, Wenbin Yang, Guanghao Mei, Qian Wang |
| 2021 | Isotonic Data Augmentation for Knowledge Distillation. Wanyun Cui, Sen Yan |
| 2021 | Item Response Ranking for Cognitive Diagnosis. Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang |
| 2021 | Jointly Learning Prices and Product Features. Ehsan Emamjomeh-Zadeh, Renato Paes Leme, Jon Schneider, Balasubramanian Sivan |
| 2021 | KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song |
| 2021 | Keep Your Distance: Land Division With Separation. Edith Elkind, Erel Segal-Halevi, Warut Suksompong |
| 2021 | Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing. Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang |
| 2021 | Kemeny Consensus Complexity. Zack Fitzsimmons, Edith Hemaspaandra |
| 2021 | Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees. Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov |
| 2021 | Knowledge Consolidation based Class Incremental Online Learning with Limited Data. Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai |
| 2021 | Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network. Sixing Wu, Minghui Wang, Dawei Zhang, Yang Zhou, Ying Li, Zhonghai Wu |
| 2021 | Knowledge-aware Zero-Shot Learning: Survey and Perspective. Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan, Huajun Chen |
| 2021 | Knowledge-based Residual Learning. Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li |
| 2021 | LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy. Lichao Sun, Jianwei Qian, Xun Chen |
| 2021 | LTL-Constrained Steady-State Policy Synthesis. Jan Kretínský |
| 2021 | Laughing Heads: Can Transformers Detect What Makes a Sentence Funny? Maxime Peyrard, Beatriz Borges, Kristina Gligoric, Robert West |
| 2021 | Layer-Assisted Neural Topic Modeling over Document Networks. Yiming Wang, Ximing Li, Jihong Ouyang |
| 2021 | Learn from Concepts: Towards the Purified Memory for Few-shot Learning. Xuncheng Liu, Xudong Tian, Shaohui Lin, Yanyun Qu, Lizhuang Ma, Wang Yuan, Zhizhong Zhang, Yuan Xie |
| 2021 | Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge. Shengqiong Wu, Hao Fei, Yafeng Ren, Donghong Ji, Jingye Li |
| 2021 | Learn the Highest Label and Rest Label Description Degrees. Jing Wang, Xin Geng |
| 2021 | Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare. Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe |
| 2021 | Learning 3-D Human Pose Estimation from Catadioptric Videos. Chenchen Liu, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao, Yadong Mu |
| 2021 | Learning Aggregation Functions. Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger |
| 2021 | Learning Attributed Graph Representation with Communicative Message Passing Transformer. Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang |
| 2021 | Learning CNF Theories Using MDL and Predicate Invention. Arcchit Jain, Clément Gautrais, Angelika Kimmig, Luc De Raedt |
| 2021 | Learning Class-Transductive Intent Representations for Zero-shot Intent Detection. Qingyi Si, Yuanxin Liu, Peng Fu, Zheng Lin, Jiangnan Li, Weiping Wang |
| 2021 | Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space. Zheng-Fan Wu, Hui Xue, Weimin Bai |
| 2021 | Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes. Sumit Pai, Luca Costabello |
| 2021 | Learning Generalized Unsolvability Heuristics for Classical Planning. Simon Ståhlberg, Guillem Francès, Jendrik Seipp |
| 2021 | Learning Groupwise Explanations for Black-Box Models. Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie |
| 2021 | Learning Implicit Temporal Alignment for Few-shot Video Classification. Songyang Zhang, Jiale Zhou, Xuming He |
| 2021 | Learning Implicitly with Noisy Data in Linear Arithmetic. Alexander Philipp Rader, Ionela G. Mocanu, Vaishak Belle, Brendan Juba |
| 2021 | Learning Interpretable Concept Groups in CNNs. Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft |
| 2021 | Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation. Yue Guan, Qifan Zhang, Panagiotis Tsiotras |
| 2021 | Learning Spectral Dictionary for Local Representation of Mesh. Zhongpai Gao, Junchi Yan, Guangtao Zhai, Xiaokang Yang |
| 2021 | Learning Stochastic Equivalence based on Discrete Ricci Curvature. Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao |
| 2021 | Learning Temporal Plan Preferences from Examples: An Empirical Study. Valentin Seimetz, Rebecca Eifler, Jörg Hoffmann |
| 2021 | Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction. Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang |
| 2021 | Learning Visual Words for Weakly-Supervised Semantic Segmentation. Lixiang Ru, Bo Du, Chen Wu |
| 2021 | Learning Within an Instance for Designing High-Revenue Combinatorial Auctions. Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm |
| 2021 | Learning and Planning Under Uncertainty for Green Security. Lily Xu |
| 2021 | Learning from Complementary Labels via Partial-Output Consistency Regularization. Deng-Bao Wang, Lei Feng, Min-Ling Zhang |
| 2021 | Learning from Multimedia Data with Incomplete Information. Renshuai Tao |
| 2021 | Learning in Markets: Greed Leads to Chaos but Following the Price is Right. Yun Kuen Cheung, Stefanos Leonardos, Georgios Piliouras |
| 2021 | Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs. Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu |
| 2021 | Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork. Dong Xing, Qianhui Liu, Qian Zheng, Gang Pan |
| 2021 | Learning with Selective Forgetting. Takashi Shibata, Go Irie, Daiki Ikami, Yu Mitsuzumi |
| 2021 | Leveraging Human Attention in Novel Object Captioning. Xianyu Chen, Ming Jiang, Qi Zhao |
| 2021 | Lifting Symmetry Breaking Constraints with Inductive Logic Programming. Alice Tarzariol, Martin Gebser, Konstantin Schekotihin |
| 2021 | Likelihood-free Out-of-Distribution Detection with Invertible Generative Models. Amirhossein Ahmadian, Fredrik Lindsten |
| 2021 | Local Representation is Not Enough: Soft Point-Wise Transformer for Descriptor and Detector of Local Features. Zihao Wang, Xueyi Li, Zhen Li |
| 2021 | Location Predicts You: Location Prediction via Bi-direction Speculation and Dual-level Association. Xixi Li, Ruimin Hu, Zheng Wang, Toshihiko Yamasaki |
| 2021 | Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling. Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun |
| 2021 | Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks. Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani |
| 2021 | Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification. Guoqing Zhang, Yuhao Chen, Weisi Lin, Arun Kumar Chandran, Xuan Jing |
| 2021 | Loyalty in Cardinal Hedonic Games. Martin Bullinger, Stefan Kober |
| 2021 | MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events. Tengfei Lyu, Jianliang Gao, Ling Tian, Zhao Li, Peng Zhang, Ji Zhang |
| 2021 | ME-MCTS: Online Generalization by Combining Multiple Value Estimators. Hendrik Baier, Michael Kaisers |
| 2021 | MEDA: Meta-Learning with Data Augmentation for Few-Shot Text Classification. Pengfei Sun, Yawen Ouyang, Wenming Zhang, Xinyu Dai |
| 2021 | MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation. Huimin Sun, Jiajie Xu, Kai Zheng, Pengpeng Zhao, Pingfu Chao, Xiaofang Zhou |
| 2021 | MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks. Tianhao Zhang, Qiwei Ye, Jiang Bian, Guangming Xie, Tie-Yan Liu |
| 2021 | MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning. Chen Liu, Bo Li, Jun Zhao, Ming Su, Xudong Liu |
| 2021 | MRD-Net: Multi-Modal Residual Knowledge Distillation for Spoken Question Answering. Chenyu You, Nuo Chen, Yuexian Zou |
| 2021 | Majority Vote in Social Networks: Make Random Friends or Be Stubborn to Overpower Elites. Charlotte Out, Ahad N. Zehmakan |
| 2021 | Manipulation of k-Coalitional Games on Social Networks. Naftali Waxman, Sarit Kraus, Noam Hazon |
| 2021 | MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang |
| 2021 | Masked Contrastive Learning for Anomaly Detection. Hyunsoo Cho, Jinseok Seol, Sang-goo Lee |
| 2021 | Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification. Yunsheng Shi, Zhengjie Huang, Shikun Feng, Hui Zhong, Wenjing Wang, Yu Sun |
| 2021 | MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction. Guozhi Tang, Lele Xie, Lianwen Jin, Jiapeng Wang, Jingdong Chen, Zhen Xu, Qianying Wang, Yaqiang Wu, Hui Li |
| 2021 | Matchings with Group Fairness Constraints: Online and Offline Algorithms. Govind S. Sankar, Anand Louis, Meghana Nasre, Prajakta Nimbhorkar |
| 2021 | Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward. Xiong Wang, Riheng Jia |
| 2021 | Mean Field Games Flock! The Reinforcement Learning Way. Sarah Perrin, Mathieu Laurière, Julien Pérolat, Matthieu Geist, Romuald Élie, Olivier Pietquin |
| 2021 | Mechanism Design for Facility Location Problems: A Survey. Hau Chan, Aris Filos-Ratsikas, Bo Li, Minming Li, Chenhao Wang |
| 2021 | Medical Image Segmentation using Squeeze-and-Expansion Transformers. Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh |
| 2021 | Mental Models of AI Agents in a Cooperative Game Setting (Extended Abstract). Katy Ilonka Gero, Zahra Ashktorab, Casey Dugan, Qian Pan, James Johnson, Werner Geyer, Maria Ruiz, Sarah Miller, David R. Millen, Murray Campbell, Sadhana Kumaravel, Wei Zhang |
| 2021 | Meta-Reinforcement Learning by Tracking Task Non-stationarity. Riccardo Poiani, Andrea Tirinzoni, Marcello Restelli |
| 2021 | Method of Moments for Topic Models with Mixed Discrete and Continuous Features. Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum, Christoph Staudt, Sina Zarrieß |
| 2021 | Micro-Expression Recognition Enhanced by Macro-Expression from Spatial-Temporal Domain. Bin Xia, Shangfei Wang |
| 2021 | Minimization of Limit-Average Automata. Jakub Michaliszyn, Jan Otop |
| 2021 | Modality-aware Style Adaptation for RGB-Infrared Person Re-Identification. Ziling Miao, Hong Liu, Wei Shi, Wanlu Xu, Hanrong Ye |
| 2021 | Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes. Aria HasanzadeZonuzy, Dileep M. Kalathil, Srinivas Shakkottai |
| 2021 | Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou |
| 2021 | Modeling Institutions in Socio-Ecosystems. Sitraka Oliva Raharivelo, Jean-Pierre Müller |
| 2021 | Modeling Precomputation In Games Played Under Computational Constraints. Thomas Orton |
| 2021 | Modeling Trajectories with Neural Ordinary Differential Equations. Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann |
| 2021 | Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings. Na Li, Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Qing Gu, Steven Schockaert |
| 2021 | Monte Carlo Filtering Objectives. Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman |
| 2021 | Multi-Agent Abstract Argumentation Frameworks With Incomplete Knowledge of Attacks. Andreas Herzig, Antonio Yuste-Ginel |
| 2021 | Multi-Agent Belief Base Revision. Emiliano Lorini, François Schwarzentruber |
| 2021 | Multi-Agent Intention Progression with Black-Box Agents. Michael Dann, Yuan Yao, Brian Logan, John Thangarajah |
| 2021 | Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market. Dawei Qiu, Jianhong Wang, Junkai Wang, Goran Strbac |
| 2021 | Multi-Cause Effect Estimation with Disentangled Confounder Representation. Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li |
| 2021 | Multi-Channel Pooling Graph Neural Networks. Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang |
| 2021 | Multi-Hop Fact Checking of Political Claims. Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein |
| 2021 | Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification. Haocong Rao, Shihao Xu, Xiping Hu, Jun Cheng, Bin Hu |
| 2021 | Multi-Objective Reinforcement Learning for Designing Ethical Environments. Manel Rodriguez-Soto, Maite López-Sánchez, Juan A. Rodríguez-Aguilar |
| 2021 | Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan |
| 2021 | Multi-Scale Selective Feedback Network with Dual Loss for Real Image Denoising. Xiaowan Hu, Yuanhao Cai, Zhihong Liu, Haoqian Wang, Yulun Zhang |
| 2021 | Multi-Target Invisibly Trojaned Networks for Visual Recognition and Detection. Xinzhe Zhou, Wenhao Jiang, Sheng Qi, Yadong Mu |
| 2021 | Multi-agent Approach to Resource Allocation in Autonomous Vehicle Fleets. Alaa Daoud |
| 2021 | Multi-hop Attention Graph Neural Networks. Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec |
| 2021 | Multi-level Generative Models for Partial Label Learning with Non-random Label Noise. Yan Yan, Yuhong Guo |
| 2021 | Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling. Xi Yang, Yuan Zhang, Min Chi |
| 2021 | Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun |
| 2021 | Multi-view Feature Augmentation with Adaptive Class Activation Mapping. Xiang Gao, Yingjie Tian, Zhiquan Qi |
| 2021 | MultiMirror: Neural Cross-lingual Word Alignment for Multilingual Word Sense Disambiguation. Luigi Procopio, Edoardo Barba, Federico Martelli, Roberto Navigli |
| 2021 | Multimodal Transformer Networks for Pedestrian Trajectory Prediction. Ziyi Yin, Ruijin Liu, Zhiliang Xiong, Zejian Yuan |
| 2021 | Nash Welfare in the Facility Location Problem. Alexander Lam |
| 2021 | Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction. Kai Wang, Yu Liu, Quan Z. Sheng |
| 2021 | Neural Architecture Search of SPD Manifold Networks. Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool |
| 2021 | Neural Regret-Matching for Distributed Constraint Optimization Problems. Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An |
| 2021 | Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph. Yunhao Zhang, Junchi Yan |
| 2021 | Neural Temporal Point Processes: A Review. Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann |
| 2021 | New Algorithms for Japanese Residency Matching. Zhaohong Sun, Taiki Todo, Makoto Yokoo |
| 2021 | Node-wise Localization of Graph Neural Networks. Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi |
| 2021 | Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang |
| 2021 | Noise2Grad: Extract Image Noise to Denoise. Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu |
| 2021 | Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder. Weijia Zhang |
| 2021 | Non-Parametric Stochastic Sequential Assignment With Random Arrival Times. Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy |
| 2021 | Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction. Ruijing Yang, Ziyu Guan, Zitong Yu, Xiaoyi Feng, Jinye Peng, Guoying Zhao |
| 2021 | Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning. Fan Zhou, Zhoufan Zhu, Qi Kuang, Liwen Zhang |
| 2021 | Norm-guided Adaptive Visual Embedding for Zero-Shot Sketch-Based Image Retrieval. Wenjie Wang, Yufeng Shi, Shiming Chen, Qinmu Peng, Feng Zheng, Xinge You |
| 2021 | Novelty Detection via Contrastive Learning with Negative Data Augmentation. Chengwei Chen, Yuan Xie, Shaohui Lin, Ruizhi Qiao, Jian Zhou, Xin Tan, Yi Zhang, Lizhuang Ma |
| 2021 | Object Detection in Densely Packed Scenes via Semi-Supervised Learning with Dual Consistency. Chao Ye, Huaidong Zhang, Xuemiao Xu, Weiwei Cai, Jing Qin, Kup-Sze Choi |
| 2021 | Objective-aware Traffic Simulation via Inverse Reinforcement Learning. Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li |
| 2021 | On Belief Change for Multi-Label Classifier Encodings. Sylvie Coste-Marquis, Pierre Marquis |
| 2021 | On Cycles, Attackers and Supporters - A Contribution to The Investigation of Dynamics in Abstract Argumentation. Ringo Baumann, Markus Ulbricht |
| 2021 | On Explaining Random Forests with SAT. Yacine Izza, João Marques-Silva |
| 2021 | On Guaranteed Optimal Robust Explanations for NLP Models. Emanuele La Malfa, Rhiannon Michelmore, Agnieszka M. Zbrzezny, Nicola Paoletti, Marta Kwiatkowska |
| 2021 | On Learning Sets of Symmetric Elements (Extended Abstract). Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya |
| 2021 | On Sampled Metrics for Item Recommendation (Extended Abstract). Walid Krichene, Steffen Rendle |
| 2021 | On Self-Distilling Graph Neural Network. Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang |
| 2021 | On Smoother Attributions using Neural Stochastic Differential Equations. Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Susmit Jha |
| 2021 | On Weak Stubborn Sets in Classical Planning. Silvan Sievers, Martin Wehrle |
| 2021 | On a Competitive Secretary Problem with Deferred Selections. Tomer Ezra, Michal Feldman, Ron Kupfer |
| 2021 | On the Convergence of Stochastic Compositional Gradient Descent Ascent Method. Hongchang Gao, Xiaoqian Wang, Lei Luo, Xinghua Shi |
| 2021 | On the Intrinsic Differential Privacy of Bagging. Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong |
| 2021 | On the Learnability of Knowledge in Multi-Agent Logics. Ionela G. Mocanu |
| 2021 | On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization. Wei Huang, Weitao Du, Richard Yi Da Xu |
| 2021 | On the Parameterized Complexity of Polytree Learning. Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz |
| 2021 | On the Relation Between Approximation Fixpoint Theory and Justification Theory. Simon Marynissen, Bart Bogaerts, Marc Denecker |
| 2021 | One-Shot Affordance Detection. Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao |
| 2021 | Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network. Wangli Lin, Li Sun, Qiwei Zhong, Can Liu, Jinghua Feng, Xiang Ao, Hao Yang |
| 2021 | Online Learning of Action Models for PDDL Planning. Leonardo Lamanna, Alessandro Saetti, Luciano Serafini, Alfonso Gerevini, Paolo Traverso |
| 2021 | Online Risk-Averse Submodular Maximization. Tasuku Soma, Yuichi Yoshida |
| 2021 | Online Selection of Diverse Committees. Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier |
| 2021 | Open Intent Extraction from Natural Language Interactions (Extended Abstract). Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy |
| 2021 | Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang |
| 2021 | Optimal Algorithms for Range Searching over Multi-Armed Bandits. Siddharth Barman, Ramakrishnan Krishnamurthy, Saladi Rahul |
| 2021 | Optimal Transport for Deep Generative Models: State of the Art and Research Challenges. Viet Huynh, Dinh Q. Phung, He Zhao |
| 2021 | Ordering-Based Causal Discovery with Reinforcement Learning. Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang |
| 2021 | PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging. Yuwei Li, Minye Wu, Yuyao Zhang, Lan Xu, Jingyi Yu |
| 2021 | PROPm Allocations of Indivisible Goods to Multiple Agents. Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin |
| 2021 | Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie |
| 2021 | Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data. Lisi Chen, Shuo Shang, Shanshan Feng, Panos Kalnis |
| 2021 | Partial Multi-Label Optimal Margin Distribution Machine. Nan Cao, Teng Zhang, Hai Jin |
| 2021 | Participatory Budgeting with Project Groups. Pallavi Jain, Krzysztof Sornat, Nimrod Talmon, Meirav Zehavi |
| 2021 | Partition Function Estimation: A Quantitative Study. Durgesh Agrawal, Yash Pote, Kuldeep S. Meel |
| 2021 | Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu |
| 2021 | Person Search Challenges and Solutions: A Survey. Xiangtan Lin, Pengzhen Ren, Yun Xiao, Xiaojun Chang, Alex Hauptmann |
| 2021 | Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning. Arjit Jain, Pranay Reddy Samala, Preethi Jyothi, Deepak Mittal, Maneesh Kumar Singh |
| 2021 | Phonovisual Biases in Language: is the Lexicon Tied to the Visual World? Andrea Gregor de Varda, Carlo Strapparava |
| 2021 | Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu |
| 2021 | Physics-informed Spline Learning for Nonlinear Dynamics Discovery. Fangzheng Sun, Yang Liu, Hao Sun |
| 2021 | Picking Sequences and Monotonicity in Weighted Fair Division. Mithun Chakraborty, Ulrike Schmidt-Kraepelin, Warut Suksompong |
| 2021 | Planning and Reinforcement Learning for General-Purpose Service Robots. Yuqian Jiang |
| 2021 | Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration. Haobo Jiang, Jianjun Qian, Jin Xie, Jian Yang |
| 2021 | Point-based Acoustic Scattering for Interactive Sound Propagation via Surface Encoding. Hsien-Yu Meng, Zhenyu Tang, Dinesh Manocha |
| 2021 | PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery. Weibing Zhao, Xu Yan, Jiantao Gao, Ruimao Zhang, Jiayan Zhang, Zhen Li, Song Wu, Shuguang Cui |
| 2021 | Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey. Yongshuai Liu, Avishai Halev, Xin Liu |
| 2021 | Politeness for the Theory of Algebraic Datatypes (Extended Abstract). Ying Sheng, Yoni Zohar, Christophe Ringeissen, Jane Lange, Pascal Fontaine, Clark W. Barrett |
| 2021 | Polynomial-Time in PDDL Input Size: Making the Delete Relaxation Feasible for Lifted Planning. Pascal Lauer, Álvaro Torralba, Daniel Fiser, Daniel Höller, Julia Wichlacz, Jörg Hoffmann |
| 2021 | PoseGTAC: Graph Transformer Encoder-Decoder with Atrous Convolution for 3D Human Pose Estimation. Yiran Zhu, Xing Xu, Fumin Shen, Yanli Ji, Lianli Gao, Heng Tao Shen |
| 2021 | Positive-Unlabeled Learning from Imbalanced Data. Guangxin Su, Weitong Chen, Miao Xu |
| 2021 | Practical One-Shot Federated Learning for Cross-Silo Setting. Qinbin Li, Bingsheng He, Dawn Song |
| 2021 | Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach. Yidan Sun, Guiyuan Jiang, Siew Kei Lam, Peilan He |
| 2021 | Predictive Analytics for COVID-19 Social Distancing. Harold Ze Chie Teng, Hongchao Jiang, Xuan Rong Zane Ho, Wei Yang Bryan Lim, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao |
| 2021 | Predictive Job Scheduling under Uncertain Constraints in Cloud Computing. Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda |
| 2021 | Preference-Adaptive Meta-Learning for Cold-Start Recommendation. Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen |
| 2021 | Pretrained Language Model for Text Generation: A Survey. Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen |
| 2021 | Private Stochastic Non-convex Optimization with Improved Utility Rates. Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong |
| 2021 | Probabilistic Sufficient Explanations. Eric Wang, Pasha Khosravi, Guy Van den Broeck |
| 2021 | Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021. Zhi-Hua Zhou |
| 2021 | Program Synthesis as Dependency Quantified Formula Modulo Theory. Priyanka Golia, Subhajit Roy, Kuldeep S. Meel |
| 2021 | Progressive Open-Domain Response Generation with Multiple Controllable Attributes. Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang |
| 2021 | Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention. Wei Suo, Mengyang Sun, Peng Wang, Qi Wu |
| 2021 | Provable Guarantees on the Robustness of Decision Rules to Causal Interventions. Benjie Wang, Clare Lyle, Marta Kwiatkowska |
| 2021 | Pruning of Deep Spiking Neural Networks through Gradient Rewiring. Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian |
| 2021 | Putting a Compass on the Map of Elections. Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Stanislaw Szufa |
| 2021 | Qualitative Spatial and Temporal Reasoning: Current Status and Future Challenges. Michael Sioutis, Diedrich Wolter |
| 2021 | RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (Extended Abstract). Zachary Teed, Jia Deng |
| 2021 | RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection. Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou |
| 2021 | RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection. Dongming Yang, Yuexian Zou, Can Zhang, Meng Cao, Jie Chen |
| 2021 | Ranking Extensions in Abstract Argumentation. Kenneth Skiba, Tjitze Rienstra, Matthias Thimm, Jesse Heyninck, Gabriele Kern-Isberner |
| 2021 | Real-Time Pricing Optimization for Ride-Hailing Quality of Service. Enpeng Yuan, Pascal Van Hentenryck |
| 2021 | Reasoning About Agents That May Know Other Agents' Strategies. Francesco Belardinelli, Sophia Knight, Alessio Lomuscio, Bastien Maubert, Aniello Murano, Sasha Rubin |
| 2021 | Reasoning about Beliefs and Meta-Beliefs by Regression in an Expressive Probabilistic Action Logic. Daxin Liu, Gerhard Lakemeyer |
| 2021 | Reasoning over Argument-Incomplete AAFs in the Presence of Correlations. Bettina Fazzinga, Sergio Flesca, Filippo Furfaro |
| 2021 | Reasoning-Based Learning of Interpretable ML Models. Alexey Ignatiev, João Marques-Silva, Nina Narodytska, Peter J. Stuckey |
| 2021 | Recent Advances in Adversarial Training for Adversarial Robustness. Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, Qian Wang |
| 2021 | Recent Advances in Heterogeneous Relation Learning for Recommendation. Chao Huang |
| 2021 | Recent Trends in Word Sense Disambiguation: A Survey. Michele Bevilacqua, Tommaso Pasini, Alessandro Raganato, Roberto Navigli |
| 2021 | Reconciling Rewards with Predictive State Representations. Andrea Baisero, Christopher Amato |
| 2021 | Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning. Jiawei Wang, Lijun Sun |
| 2021 | Reducing SAT to Max2SAT. Carlos Ansótegui, Jordi Levy |
| 2021 | Regularising Knowledge Transfer by Meta Functional Learning. Pan Li, Yanwei Fu, Shaogang Gong |
| 2021 | Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong |
| 2021 | Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models. Zeyuan Wang, Chaofeng Sha, Su Yang |
| 2021 | Reinforcement Learning for Route Optimization with Robustness Guarantees. Tobias Jacobs, Francesco Alesiani, Gülcin Ermis |
| 2021 | Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment. Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh |
| 2021 | Relational Gating for "What If" Reasoning. Chen Zheng, Parisa Kordjamshidi |
| 2021 | Relaxed Core Stability in Fractional Hedonic Games. Angelo Fanelli, Gianpiero Monaco, Luca Moscardelli |
| 2021 | Removing Foreground Occlusions in Light Field using Micro-lens Dynamic Filter. Shuo Zhang, Zeqi Shen, Youfang Lin |
| 2021 | Rescuing Deep Hashing from Dead Bits Problem. Shu Zhao, Dayan Wu, Yucan Zhou, Bo Li, Weiping Wang |
| 2021 | Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks. Weixuan Lin, Di Wu |
| 2021 | RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin |
| 2021 | Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs. Xiao Zhang, Haoyi Xiong, Dongrui Wu |
| 2021 | Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective. Yang Yang, Chubing Zhang, Yi-Chu Xu, Dianhai Yu, De-Chuan Zhan, Jian Yang |
| 2021 | Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search (Extended Abstract). Stephan Sloth Lorenzen, Ninh Pham |
| 2021 | Reward-Constrained Behavior Cloning. Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang |
| 2021 | Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization. Andi Han, Junbin Gao |
| 2021 | Robot Manipulation Learning Using Generative Adversarial Imitation Learning. Mohamed Khalil Jabri |
| 2021 | Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations. Yunke Wang, Chang Xu, Bo Du |
| 2021 | Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract). Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot |
| 2021 | Robust Regularization with Adversarial Labelling of Perturbed Samples. Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao |
| 2021 | Robustly Learning Composable Options in Deep Reinforcement Learning. Akhil Bagaria, Jason K. Senthil, Matthew Slivinski, George Konidaris |
| 2021 | SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method. Zhijian Li, Chao Zhang, Hui Qian, Xin Du, Lingwei Peng |
| 2021 | SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables. Minh Pham, Craig A. Knoblock, Muhao Chen, Binh Vu, Jay Pujara |
| 2021 | SURPRISE! and When to Schedule It. Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck |
| 2021 | Safe Weakly Supervised Learning. Yufeng Li |
| 2021 | SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun |
| 2021 | Safety Analysis of Deep Neural Networks. Dario Guidotti |
| 2021 | SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging. Ziyu Jia, Youfang Lin, Jing Wang, Xuehui Wang, Peiyi Xie, Yingbin Zhang |
| 2021 | Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization. Hongchang Gao, Hanzi Xu, Slobodan Vucetic |
| 2021 | Scalable Non-observational Predicate Learning in ASP. Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino |
| 2021 | School Choice with Flexible Diversity Goals and Specialized Seats. Haris Aziz, Zhaohong Sun |
| 2021 | Secure Deep Graph Generation with Link Differential Privacy. Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun |
| 2021 | Segmenting Transparent Objects in the Wild with Transformer. Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo |
| 2021 | Self-Guided Community Detection on Networks with Missing Edges. Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang |
| 2021 | Self-Supervised Adversarial Distribution Regularization for Medication Recommendation. Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Sen Wang, Miao Xu |
| 2021 | Self-Supervised Video Action Localization with Adversarial Temporal Transforms. Guoqiang Gong, Liangfeng Zheng, Wenhao Jiang, Yadong Mu |
| 2021 | Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw. Yuqi Huo, Mingyu Ding, Haoyu Lu, Ziyuan Huang, Mingqian Tang, Zhiwu Lu, Tao Xiang |
| 2021 | Self-boosting for Feature Distillation. Yulong Pei, Yanyun Qu, Junping Zhang |
| 2021 | Self-supervised Network Evolution for Few-shot Classification. Xuwen Tang, Zhu Teng, Baopeng Zhang, Jianping Fan |
| 2021 | Semantic Linking Maps for Active Visual Object Search (Extended Abstract). Zhen Zeng, Adrian Röfer, Odest Chadwicke Jenkins |
| 2021 | Sensitivity Direction Learning with Neural Networks Using Domain Knowledge as Soft Shape Constraints. Kazuyuki Wakasugi |
| 2021 | Sequential 3D Human Pose Estimation Using Adaptive Point Cloud Sampling Strategy. Zihao Zhang, Lei Hu, Xiaoming Deng, Shihong Xia |
| 2021 | Shortlisting Rules and Incentives in an End-to-End Model for Participatory Budgeting. Simon Rey, Ulle Endriss, Ronald de Haan |
| 2021 | SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking. Jinlong Peng, Zhengkai Jiang, Yueyang Gu, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Weiyao Lin |
| 2021 | Signature-Based Abduction with Fresh Individuals and Complex Concepts for Description Logics. Patrick Koopmann |
| 2021 | Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). Yasir Alanazi, Nobuo Sato, Tianbo Liu, Wally Melnitchouk, Pawel Ambrozewicz, Florian Hauenstein, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan R. Strauss, Luisa Velasco, Yaohang Li |
| 2021 | Skeptical Reasoning with Preferred Semantics in Abstract Argumentation without Computing Preferred Extensions. Matthias Thimm, Federico Cerutti, Mauro Vallati |
| 2021 | Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem. Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso |
| 2021 | Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion. Zhenguang Liu, Peng Qian, Xiang Wang, Lei Zhu, Qinming He, Shouling Ji |
| 2021 | Solving Continuous Control with Episodic Memory. Igor Kuznetsov, Andrey Filchenkov |
| 2021 | Solving Graph Homomorphism and Subgraph Isomorphism Problems Faster Through Clique Neighbourhood Constraints. Sonja Kraiczy, Ciaran McCreesh |
| 2021 | Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play. Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo |
| 2021 | Solving Math Word Problems with Teacher Supervision. Zhenwen Liang, Xiangliang Zhang |
| 2021 | Solving Partially Observable Stochastic Shortest-Path Games. Petr Tomásek, Karel Horák, Aditya Aradhye, Branislav Bosanský, Krishnendu Chatterjee |
| 2021 | Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation. Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan |
| 2021 | Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen |
| 2021 | Speech Recognition Using RFID Tattoos (Extended Abstract). Jingxian Wang, Chengfeng Pan, Haojian Jin, Vaibhav Singh, Yash Jain, Jason I. Hong, Carmel Majidi, Swarun Kumar |
| 2021 | Speech2Talking-Face: Inferring and Driving a Face with Synchronized Audio-Visual Representation. Yasheng Sun, Hang Zhou, Ziwei Liu, Hideki Koike |
| 2021 | Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields. Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, Xin Tong |
| 2021 | Stability and Generalization for Randomized Coordinate Descent. Puyu Wang, Liang Wu, Yunwen Lei |
| 2021 | State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits. Shuang Wu, Jingyu Zhao, Guangjian Tian, Jun Wang |
| 2021 | State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability. Layton Hayes, Prashant Doshi, Swaraj Pawar, Hari Teja Tatavarti |
| 2021 | Step-Wise Hierarchical Alignment Network for Image-Text Matching. Zhong Ji, Kexin Chen, Haoran Wang |
| 2021 | Stochastic Actor-Executor-Critic for Image-to-Image Translation. Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu |
| 2021 | Stochastic Market Games. Kyrill Schmid, Lenz Belzner, Robert Müller, Johannes Tochtermann, Claudia Linnhoff-Popien |
| 2021 | Stochastic Probing with Increasing Precision. Martin Hoefer, Kevin Schewior, Daniel Schmand |
| 2021 | Stochastic Shortest Path with Adversarially Changing Costs. Aviv Rosenberg, Yishay Mansour |
| 2021 | Strategyproof Randomized Social Choice for Restricted Sets of Utility Functions. Patrick Lederer |
| 2021 | Structure Guided Lane Detection. Jinming Su, Chao Chen, Ke Zhang, Junfeng Luo, Xiaoming Wei, Xiaolin Wei |
| 2021 | Successor-Invariant First-Order Logic on Classes of Bounded Degree (Extended Abstract). Julien Grange |
| 2021 | Surprisingly Popular Voting Recovers Rankings, Surprisingly! Hadi Hosseini, Debmalya Mandal, Nisarg Shah, Kevin Shi |
| 2021 | Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions. Jihwan Jeong, Parth Jaggi, Scott Sanner |
| 2021 | Synthesizing Good-Enough Strategies for LTLf Specifications. Yong Li, Andrea Turrini, Moshe Y. Vardi, Lijun Zhang |
| 2021 | TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators. Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam |
| 2021 | TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). Carl Yang, Jieyu Zhang, Jiawei Han |
| 2021 | TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning. Zhihao Fan, Zhongyu Wei, Siyuan Wang, Ruize Wang, Zejun Li, Haijun Shan, Xuanjing Huang |
| 2021 | TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. Chenxi Sun, Shenda Hong, Moxian Song, Yen-hsiu Chou, Yongyue Sun, Derun Cai, Hongyan Li |
| 2021 | TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates. Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah |
| 2021 | TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport. Tuan Nguyen, Trung Le, Nhan Dam, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung |
| 2021 | Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences. Jiapeng Wang, Tianwei Wang, Guozhi Tang, Lianwen Jin, Weihong Ma, Kai Ding, Yichao Huang |
| 2021 | Tango: Declarative Semantics for Multiagent Communication Protocols. Munindar P. Singh, Samuel H. Christie V. |
| 2021 | Temporal Heterogeneous Information Network Embedding. Hong Huang, Ruize Shi, Wei Zhou, Xiao Wang, Hai Jin, Xiaoming Fu |
| 2021 | Temporal Induced Self-Play for Stochastic Bayesian Games. Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang |
| 2021 | Temporal and Object Quantification Networks. Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman |
| 2021 | Ten Years of BabelNet: A Survey. Roberto Navigli, Michele Bevilacqua, Simone Conia, Dario Montagnini, Francesco Cecconi |
| 2021 | Text-based Person Search via Multi-Granularity Embedding Learning. Chengji Wang, Zhiming Luo, Yaojin Lin, Shaozi Li |
| 2021 | TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation. Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang |
| 2021 | The Fewer the Merrier: Pruning Preferred Operators with Novelty. Alexander Tuisov, Michael Katz |
| 2021 | The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces (Extended Abstract). Roberto Martínez Maldonado, Vanessa Echeverría, Katerina Mangaroska, Antonette Shibani, Gloria Fernández-Nieto, Jurgen Schulte, Simon Buckingham Shum |
| 2021 | The Parameterized Complexity of Connected Fair Division. Argyrios Deligkas, Eduard Eiben, Robert Ganian, Thekla Hamm, Sebastian Ordyniak |
| 2021 | The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs. Christopher Morris, Matthias Fey, Nils M. Kriege |
| 2021 | The Successful Ingredients of Policy Gradient Algorithms. Sven Gronauer, Martin Gottwald, Klaus Diepold |
| 2021 | The Surprising Power of Graph Neural Networks with Random Node Initialization. Ralph Abboud, Ismail Ilkan Ceylan, Martin Grohe, Thomas Lukasiewicz |
| 2021 | The Traveling Tournament Problem with Maximum Tour Length Two: A Practical Algorithm with An Improved Approximation Bound. Jingyang Zhao, Mingyu Xiao |
| 2021 | Themis: A Fair Evaluation Platform for Computer Vision Competitions. Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, Haibing Guan |
| 2021 | Thompson Sampling for Bandits with Clustered Arms. Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson |
| 2021 | Time Series Data Augmentation for Deep Learning: A Survey. Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu |
| 2021 | Time-Aware Multi-Scale RNNs for Time Series Modeling. Zipeng Chen, Qianli Ma, Zhenxi Lin |
| 2021 | Time-Series Representation Learning via Temporal and Contextual Contrasting. Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan |
| 2021 | Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics. Hiromu Yakura, Yuki Koyama, Masataka Goto |
| 2021 | Topic Modelling Meets Deep Neural Networks: A Survey. He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine |
| 2021 | Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs. Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda |
| 2021 | Tournaments in Computational Social Choice: Recent Developments. Warut Suksompong |
| 2021 | Toward Optimal Solution for the Context-Attentive Bandit Problem. Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni |
| 2021 | Towards Compact Single Image Super-Resolution via Contrastive Self-distillation. Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao |
| 2021 | Towards Cross-View Consistency in Semantic Segmentation While Varying View Direction. Xin Tong, Xianghua Ying, Yongjie Shi, He Zhao, Ruibin Wang |
| 2021 | Towards Fair and Transparent Algorithmic Systems. Yair Zick |
| 2021 | Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices. Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang |
| 2021 | Towards Generating Summaries for Lexically Confusing Code through Code Erosion. Fan Yan, Ming Li |
| 2021 | Towards Reducing Biases in Combining Multiple Experts Online. Yi Sun, Iván Ramírez Díaz, Alfredo Cuesta-Infante, Kalyan Veeramachaneni |
| 2021 | Towards Robust Dynamic Network Embedding. Chengbin Hou, Ke Tang |
| 2021 | Towards Robust Model Reuse in the Presence of Latent Domains. Jie-Jing Shao, Zhanzhan Cheng, Yufeng Li, Shiliang Pu |
| 2021 | Towards Scalable Complete Verification of Relu Neural Networks via Dependency-based Branching. Panagiotis Kouvaros, Alessio Lomuscio |
| 2021 | Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion. Xian-Jin Gui, Wei Wang, Zhang-Hao Tian |
| 2021 | Towards Understanding the Spectral Bias of Deep Learning. Yuan Cao, Zhiying Fang, Yue Wu, Ding-Xuan Zhou, Quanquan Gu |
| 2021 | Towards Unsupervised Deformable-Instances Image-to-Image Translation. Sitong Su, Jingkuan Song, Lianli Gao, Junchen Zhu |
| 2021 | Towards a New Generation of Cognitive Diagnosis. Qi Liu |
| 2021 | Towards an Explainer-agnostic Conversational XAI. Navid Nobani, Fabio Mercorio, Mario Mezzanzanica |
| 2021 | Tracklet Proposal Network for Multi-Object Tracking on Point Clouds. Hai Wu, Qing Li, Chenglu Wen, Xin Li, Xiaoliang Fan, Cheng Wang |
| 2021 | Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams. Ke Li, Lisi Chen, Shuo Shang, Panos Kalnis, Bin Yao |
| 2021 | TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning. Xu Chen, Junshan Wang, Kunqing Xie |
| 2021 | Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification. Ziyu Liu, Wei Shao, Jie Zhang, Min Zhang, Kun Huang |
| 2021 | Transforming Robotic Plans with Timed Automata to Solve Temporal Platform Constraints. Tarik Viehmann, Till Hofmann, Gerhard Lakemeyer |
| 2021 | Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting. Qingyi Pan, Wenbo Hu, Ning Chen |
| 2021 | Two Forms of Responsibility in Strategic Games. Pavel Naumov, Jia Tao |
| 2021 | Two Influence Maximization Games on Graphs Made Temporal. Niclas Boehmer, Vincent Froese, Julia Henkel, Yvonne Lasars, Rolf Niedermeier, Malte Renken |
| 2021 | Two-Sided Matching Meets Fair Division. Rupert Freeman, Evi Micha, Nisarg Shah |
| 2021 | Two-Sided Wasserstein Procrustes Analysis. Kun Jin, Chaoyue Liu, Cathy Xia |
| 2021 | Two-Stage Facility Location Games with Strategic Clients and Facilities. Simon Krogmann, Pascal Lenzner, Louise Molitor, Alexander Skopalik |
| 2021 | Two-stage Training for Learning from Label Proportions. Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian |
| 2021 | Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard. Sahng-Min Yoo, Ue-Hwan Kim, Yewon Hwang, Jong-Hwan Kim |
| 2021 | Type-WA*: Using Exploration in Bounded Suboptimal Planning. Eldan Cohen, Richard Anthony Valenzano, Sheila A. McIlraith |
| 2021 | UIBert: Learning Generic Multimodal Representations for UI Understanding. Chongyang Bai, Xiaoxue Zang, Ying Xu, Srinivas Sunkara, Abhinav Rastogi, Jindong Chen, Blaise Agüera y Arcas |
| 2021 | UNBERT: User-News Matching BERT for News Recommendation. Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He |
| 2021 | Uncertain Time Series Classification. Michael Franklin Mbouopda |
| 2021 | Uncertainty-Aware Few-Shot Image Classification. Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Shih-Fu Chang |
| 2021 | Uncertainty-aware Binary Neural Networks. Junhe Zhao, Linlin Yang, Baochang Zhang, Guodong Guo, David S. Doermann |
| 2021 | Understanding Structural Vulnerability in Graph Convolutional Networks. Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang |
| 2021 | Understanding the Effect of Bias in Deep Anomaly Detection. Ziyu Ye, Yuxin Chen, Haitao Zheng |
| 2021 | Understanding the Relationship between Interactions and Outcomes in Human-in-the-Loop Machine Learning. Yuchen Cui, Pallavi Koppol, Henny Admoni, Scott Niekum, Reid G. Simmons, Aaron Steinfeld, Tesca Fitzgerald |
| 2021 | UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks. Jing Huang, Jie Yang |
| 2021 | UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems. Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau |
| 2021 | Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions (Extended Abstract). Harrie Oosterhuis, Maarten de Rijke |
| 2021 | Unsupervised Hashing with Contrastive Information Bottleneck. Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen |
| 2021 | Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding. Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng |
| 2021 | Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract). Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi |
| 2021 | Unsupervised Path Representation Learning with Curriculum Negative Sampling. Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang |
| 2021 | Unsupervised Progressive Learning and the STAM Architecture. James Seale Smith, Cameron E. Taylor, Seth Baer, Constantine Dovrolis |
| 2021 | Updating the Belief Promotion Operator. Daniel A. Grimaldi, Maria Vanina Martinez, Ricardo Oscar Rodríguez |
| 2021 | User Retention: A Causal Approach with Triple Task Modeling. Yang Zhang, Dong Wang, Qiang Li, Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu, Derek F. Wong |
| 2021 | User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie |
| 2021 | Using Platform Models for a Guided Explanatory Diagnosis Generation for Mobile Robots. Daniel Habering, Till Hofmann, Gerhard Lakemeyer |
| 2021 | Variational Model-based Policy Optimization. Yinlam Chow, Brandon Cui, Moonkyung Ryu, Mohammad Ghavamzadeh |
| 2021 | Verifying Reinforcement Learning up to Infinity. Edoardo Bacci, Mirco Giacobbe, David Parker |
| 2021 | Video Summarization via Label Distributions Dual-Reward. Yongbiao Gao, Ning Xu, Xin Geng |
| 2021 | VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance. Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas |
| 2021 | Vitality Indices are Equivalent to Induced Game-Theoretic Centralities. Oskar Skibski |
| 2021 | Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching. Bofeng Wu, Guocheng Niu, Jun Yu, Xinyan Xiao, Jian Zhang, Hua Wu |
| 2021 | Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video. Jie Wu, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, Liang Lin |
| 2021 | Weaving a Semantic Web of Credibility Reviews for Explainable Misinformation Detection (Extended Abstract). Ronald Denaux, Martino Mensio, José Manuél Gómez-Pérez, Harith Alani |
| 2021 | Web Interoperability for Ontology Development and Support with crowd 2.0. Germán Alejandro Braun, Giuliano Marinelli, Emiliano Rios Gavagnin, Laura Andrea Cecchi, Pablo R. Fillottrani |
| 2021 | What Changed? Interpretable Model Comparison. Rahul Nair, Massimiliano Mattetti, Elizabeth Daly, Dennis Wei, Oznur Alkan, Yunfeng Zhang |
| 2021 | What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation. Tianyu Zhang, Weiqing Min, Jiahao Yang, Tao Liu, Shuqiang Jiang, Yong Rui |
| 2021 | What's the Context? Implicit and Explicit Assumptions in Model-Based Goal Recognition. Peta Masters, Mor Vered |
| 2021 | When Computational Representation Meets Neuroscience: A Survey on Brain Encoding and Decoding. Lu Cao, Dandan Huang, Yue Zhang |
| 2021 | Where Is Your Place, Visual Place Recognition? Sourav Garg, Tobias Fischer, Michael Milford |
| 2021 | Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning. Nir Lipovetzky |
| 2021 | Winner Determination and Strategic Control in Conditional Approval Voting. Evangelos Markakis, Georgios Papasotiropoulos |
| 2021 | Winner Robustness via Swap- and Shift-Bribery: Parameterized Counting Complexity and Experiments. Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier |
| 2021 | Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-name Manipulation. Yotam Gafni, Ron Lavi, Moshe Tennenholtz |
| 2021 | You Get What You Sow: High Fidelity Image Synthesis with a Single Pretrained Network. Kefeng Zhu, Peilin Tong, Hongwei Kan, Rengang Li |
| 2021 | Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition. Jingye Chen, Bin Li, Xiangyang Xue |
| 2021 | k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks. Yiming Xu, Diego Klabjan |