Table of Contents

• An Algorithm for Multi-Attribute Diverse MatchingSaba Ahmadi, Faez Ahmed, John P. Dickerson, Mark Fuge, Samir Khuller. 3-9 [doi]
• Intention Progression under UncertaintyYuan Yao 0007, Natasha Alechina, Brian Logan, John Thangarajah. 10-16 [doi]
• Social Ranking Manipulability for the CP-Majority, Banzhaf and Lexicographic Excellence SolutionsTahar Allouche, Bruno Escoffier, Stefano Moretti, Meltem Öztürk. 17-23 [doi]
• Maximum Nash Welfare and Other Stories About EFXGeorgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Hollender, Alexandros A. Voudouris. 24-30 [doi]
• Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local UtilitiesYanchen Deng, Bo An. 31-38 [doi]
• Almost Group Envy-free Allocation of Indivisible Goods and ChoresHaris Aziz 0001, Simon Rey. 39-45 [doi]
• Uniform Welfare Guarantees Under Identical Subadditive ValuationsSiddharth Barman, Ranjani G. Sundaram. 46-52 [doi]
• Biased Opinion Dynamics: When the Devil is in the DetailsAris Anagnostopoulos, Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo. 53-59 [doi]
• Formalizing Group and Propagated Trust in Multi-Agent SystemsNagat Drawel, Jamal Bentahar, Amine Laarej, Gaith Rjoub. 60-66 [doi]
• Fine-Grained View on Bribery for Group IdentificationNiclas Boehmer, Robert Bredereck, Dusan Knop, Junjie Luo. 67-73 [doi]
• Evaluating Approval-Based Multiwinner Voting in Terms of Robustness to NoiseIoannis Caragiannis, Christos Kaklamanis, Nikos Karanikolas, George A. Krimpas. 74-80 [doi]
• Decentralized MCTS via Learned Teammate ModelsAleksander Czechowski, Frans A. Oliehoek. 81-88 [doi]
• On the Complexity of Winner Verification and Candidate Winner for Multiwinner Voting RulesChinmay Sonar, Palash Dey, Neeldhara Misra. 89-95 [doi]
• Stable Roommate Problem with Diversity PreferencesNiclas Boehmer, Edith Elkind. 96-102 [doi]
• Strategic Campaign Management in Apportionment ElectionsRobert Bredereck, Piotr Faliszewski, Michal Furdyna, Andrzej Kaczmarczyk 0001, Martin Lackner. 103-109 [doi]
• Concentration of Distortion: The Value of Extra Voters in Randomized Social ChoiceBrandon Fain, William Fan, Kamesh Munagala. 110-116 [doi]
• Assume-Guarantee Synthesis for Prompt Linear Temporal LogicNathanaël Fijalkow, Bastien Maubert, Aniello Murano, Moshe Y. Vardi. 117-123 [doi]
• Peer-Prediction in the Presence of Outcome Dependent Lying IncentivesNaman Goel, Aris Filos-Ratsikas, Boi Faltings. 124-131 [doi]
• Proportionality in Approval-Based Elections With a Variable Number of WinnersRupert Freeman, Anson Kahng, David M. Pennock. 132-138 [doi]
• Flow-Based Network Creation GamesHagen Echzell, Tobias Friedrich 0001, Pascal Lenzner, Anna Melnichenko. 139-145 [doi]
• Stable Matchings with Diversity Constraints: Affirmative Action is beyond NPJiehua Chen, Robert Ganian, Thekla Hamm. 146-152 [doi]
• Mechanism Design for School Choice with Soft Diversity ConstraintsHaris Aziz 0001, Serge Gaspers, Zhaohong Sun 0001. 153-159 [doi]
• Maximizing Welfare with Incentive-Aware Evaluation MechanismsNika Haghtalab, Nicole Immorlica, Brendan Lucier, Jack Z. Wang. 160-166 [doi]
• Ethics, Prosperity, and Society: Moral Evaluation Using Virtue Ethics and UtilitarianismAditya Hegde, Vibhav Agarwal, Shrisha Rao. 167-174 [doi]
• Prophet Inequalities for Bayesian PersuasionNiklas Hahn, Martin Hoefer, Rann Smorodinsky. 175-181 [doi]
• Fair Division of Time: Multi-layered Cake CuttingHadi Hosseini, Ayumi Igarashi, Andrew Searns. 182-188 [doi]
• Well-Structured CommitteesSushmita Gupta, Pallavi Jain 0001, Saket Saurabh 0001. 189-195 [doi]
• Evaluating Committees for Representative Democracies: the Distortion and BeyondMichal Jaworski, Piotr Skowron. 196-202 [doi]
• The Complexity of Election Problems with Group-Separable PreferencesPiotr Faliszewski, Alexander Karpov, Svetlana Obraztsova. 203-209 [doi]
• Logics of Allies and Enemies: A Formal Approach to the Dynamics of Social Balance TheoryWiebe van der Hoek, Louwe B. Kuijer, Yì N. Wáng. 210-216 [doi]
• Synthesis of Deceptive Strategies in Reachability Games with Action MisperceptionAbhishek Ninad Kulkarni, Jie Fu. 217-223 [doi]
• Selecting Voting Locations for Fun and ProfitZack Fitzsimmons, Omer Lev. 224-230 [doi]
• Incentive-Compatible Diffusion AuctionsBin Li, Dong Hao, Dengji Zhao. 231-237 [doi]
• Strategyproof Mechanism for Two Heterogeneous Facilities with Constant Approximation RatioMinming Li, Pinyan Lu, Yuhao Yao, Jialin Zhang. 238-245 [doi]
• Dinkelbach-Type Algorithm for Computing Quantal Stackelberg EquilibriumJakub Cerný, Viliam Lisý, Branislav Bosanský, Bo An 0001. 246-253 [doi]
• A Penny for Your Thoughts: The Value of Communication in Ad Hoc TeamworkReuth Mirsky, William Macke, Andy Wang, Harel Yedidsion, Peter Stone. 254-260 [doi]
• Convexity of b-matching GamesSoh Kumabe, Takanori Maehara. 261-267 [doi]
• Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPsSaaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings. 268-275 [doi]
• Tight Approximation for Proportional Approval VotingSzymon Dudycz, Pasin Manurangsi, Jan Marcinkowski, Krzysztof Sornat. 276-282 [doi]
• Partial Adversarial Behavior Deception in Security GamesThanh Hong Nguyen, Arunesh Sinha, He He. 283-289 [doi]
• Approximate Pareto Set for Fair and Efficient Allocation: Few Agent Types or Few Resource TypesTrung Thanh Nguyen 0004, Jörg Rothe. 290-296 [doi]
• A Deep Reinforcement Learning Approach to Concurrent Bilateral NegotiationPallavi Bagga, Nicola Paoletti, Bedour Alrayes, Kostas Stathis. 297-303 [doi]
• Computational Aspects of Conditional Minisum Approval Voting in Elections with Interdependent IssuesEvangelos Markakis, Georgios Papasotiropoulos. 304-310 [doi]
• Combining Direct Trust and Indirect Trust in Multi-Agent SystemsElham Parhizkar, Mohammad Hossein Nikravan, Robert C. Holte, Sandra Zilles. 311-317 [doi]
• Keeping Your Friends Close: Land Allocation with FriendsEdith Elkind, Neel Patel, Alan Tsang, Yair Zick. 318-324 [doi]
• Verifying Fault-Tolerance in Probabilistic Swarm SystemsAlessio Lomuscio, Edoardo Pirovano. 325-331 [doi]
• Efficient Algorithms for Learning Revenue-Maximizing Two-Part TariffsMaria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm. 332-338 [doi]
• Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning ApproachYujian Ye, Dawei Qiu, Jonathan Ward, Marcin Abram. 339-346 [doi]
• Altruism in Coalition Formation GamesAnna Maria Kerkmann, Jörg Rothe. 347-353 [doi]
• A Multi-Objective Approach to Mitigate Negative Side EffectsSandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein. 354-361 [doi]
• The Competitive Effects of Variance-based PricingLudwig Dierks, Sven Seuken. 362-370 [doi]
• When to Follow the Tip: Security Games with Strategic InformantsWeiran Shen, Weizhe Chen 0004, Taoan Huang, Rohit Singh, Fei Fang. 371-377 [doi]
• Competition Among Contests: a Safety Level AnalysisRon Lavi, Omer Shiran-Shvarzbard. 378-385 [doi]
• Participatory Budgeting with Project InteractionsPallavi Jain 0001, Krzysztof Sornat, Nimrod Talmon. 386-392 [doi]
• PeerNomination: Relaxing Exactness for Increased Accuracy in Peer SelectionNicholas Mattei, Paolo Turrini, Stanislav Zhydkov. 393-399 [doi]
• Budgeted Facility Location Games with Strategic FacilitiesMinming Li, Chenhao Wang 0001, Mengqi Zhang. 400-406 [doi]
• Monte-Carlo Tree Search for Scalable Coalition FormationFeng Wu 0001, Sarvapali D. Ramchurn. 407-413 [doi]
• Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive ReasoningYing Wen, Yaodong Yang, Jun Wang. 414-421 [doi]
• Sybil-proof Answer Querying MechanismYao Zhang, Xiuzhen Zhang, Dengji Zhao. 422-428 [doi]
• WEFE: The Word Embeddings Fairness Evaluation FrameworkPablo Badilla, Felipe Bravo-Marquez, Jorge Pérez. 430-436 [doi]
• Individual Fairness Revisited: Transferring Techniques from Adversarial RobustnessSamuel Yeom, Matt Fredrikson. 437-443 [doi]
• Achieving Outcome Fairness in Machine Learning Models for Social Decision ProblemsBoli Fang, Miao Jiang, Pei-Yi Cheng, Jerry Shen, Yi Fang. 444-450 [doi]
• Relation-Based Counterfactual Explanations for Bayesian Network ClassifiersEmanuele Albini, Antonio Rago, Pietro Baroni, Francesca Toni. 451-457 [doi]
• Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP ModelsPingchuan Ma 0004, Shuai Wang, Jin Liu. 458-465 [doi]
• Channel-Level Variable Quantization Network for Deep Image CompressionZhisheng Zhong, Hiroaki Akutsu, Kiyoharu Aizawa. 467-473 [doi]
• Disentangled Feature Learning Network for Vehicle Re-IdentificationYan Bai, Yihang Lou, Yongxing Dai, Jun Liu 0036, Ziqian Chen, Ling-Yu Duan. 474-480 [doi]
• EViLBERT: Learning Task-Agnostic Multimodal Sense EmbeddingsAgostina Calabrese, Michele Bevilacqua, Roberto Navigli. 481-487 [doi]
• Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular VideosHaimei Zhao, Wei Bian, Bo Yuan, Dacheng Tao. 488-494 [doi]
• A 3D Convolutional Approach to Spectral Object Segmentation in Space and TimeElena Burceanu, Marius Leordeanu. 495-501 [doi]
• Reference Guided Face Component EditingQiyao Deng, Jie Cao 0002, Yunfan Liu, Zhenhua Chai, Qi Li 0005, Zhenan Sun. 502-508 [doi]
• When Pedestrian Detection Meets Nighttime Surveillance: A New BenchmarkXiao Wang, Jun Chen, Zheng Wang 0007, Wu Liu, Shin'ichi Satoh, Chao Liang, Chia-Wen Lin. 509-515 [doi]
• TextFuseNet: Scene Text Detection with Richer Fused FeaturesJian Ye, Zhe Chen 0013, Juhua Liu, Bo Du 0001. 516-522 [doi]
• SelectScale: Mining More Patterns from Images via Selective and Soft DropoutZhengsu Chen, Jianwei Niu, Xuefeng Liu, ShaoJie Tang. 523-529 [doi]
• GSM: Graph Similarity Model for Multi-Object TrackingQiankun Liu, Qi Chu, Bin Liu 0016, Nenghai Yu. 530-536 [doi]
• Deep Interleaved Network for Single Image Super-Resolution with Asymmetric Co-AttentionFeng Li, Runming Cong, Huihui Bai, Yifan He. 537-543 [doi]
• Meta Segmentation Network for Ultra-Resolution Medical ImagesTong Wu, Bicheng Dai, Shuxin Chen, Yanyun Qu, Yuan Xie 0006. 544-550 [doi]
• Lifelong Zero-Shot LearningKun Wei, Cheng Deng, Xu Yang 0019. 551-557 [doi]
• Large Scale Audiovisual Learning of Sounds with Weakly Labeled DataHaytham M. Fayek, Anurag Kumar. 558-565 [doi]
• JPEG Artifacts Removal via Compression Quality Ranker-Guided NetworksMenglu Wang, Xueyang Fu, Zepei Sun, Zheng-Jun Zha. 566-572 [doi]
• SimPropNet: Improved Similarity Propagation for Few-shot Image SegmentationSiddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy. 573-579 [doi]
• Multi-graph Fusion for Functional Neuroimaging Biomarker DetectionJiangzhang Gan, Xiaofeng Zhu 0001, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-wen Peng, Guorong Wu 0001. 580-586 [doi]
• Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph GenerationTao He, Lianli Gao, Jingkuan Song, Jianfei Cai 0001, Yuan-Fang Li. 587-593 [doi]
• Bottom-up and Top-down: Bidirectional Additive Net for Edge DetectionLianli Gao, Zhilong Zhou, Heng Tao Shen, Jingkuan Song. 594-600 [doi]
• SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene DescriptorJiachen Xu, Jingyu Gong, Jie Zhou, Xin Tan, Yuan Xie, Lizhuang Ma. 601-607 [doi]
• Characterizing Similarity of Visual Stimulus from Associated Neuronal ResponseVikram Ravindra, Ananth Grama. 608-614 [doi]
• Spatiotemporal Super-Resolution with Cross-Task Consistency and Its Semi-supervised ExtensionHan-Yi Lin, Pi-Cheng Hsiu, Tei-Wei Kuo, Yen-Yu Lin. 615-622 [doi]
• Generating Person Images with Appearance-aware Pose StylizerSiyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou. 623-629 [doi]
• SBAT: Video Captioning with Sparse Boundary-Aware TransformerTao Jin, Siyu Huang, Ming Chen, Yingming Li, Zhongfei Zhang. 630-636 [doi]
• Multichannel Color Image Denoising via Weighted Schatten p-norm MinimizationXinjian Huang, Bo Du 0001, Weiwei Liu 0003. 637-644 [doi]
• Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial NetworksYawen Huang, Feng Zheng, Danyang Wang, Junyu Jiang, Xiaoqian Wang, Ling Shao 0001. 645-651 [doi]
• Real-World Automatic Makeup via Identity Preservation Makeup NetZhikun Huang, Zhedong Zheng, Chenggang Yan, Hongtao Xie, Yaoqi Sun, Jianzhong Wang, Jiyong Zhang. 652-658 [doi]
• Human Consensus-Oriented Image CaptioningZiwei Wang, Zi Huang, Yadan Luo. 659-665 [doi]
• Biased Feature Learning for Occlusion Invariant Face RecognitionChangbin Shao, Jing Huo, Lei Qi, Zhen-Hua Feng, Wenbin Li, Chuanqi Dong, Yang Gao. 666-672 [doi]
• Channel Pruning via Automatic Structure SearchMingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian 0001. 673-679 [doi]
• GestureDet: Real-time Student Gesture Analysis with Multi-dimensional Attention-based DetectorRui Zheng, Fei Jiang, Ruimin Shen. 680-686 [doi]
• DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual DialogueXiaoze Jiang, Jing Yu, Yajing Sun, Zengchang Qin, Zihao Zhu, Yue Hu 0002, Qi Wu. 687-693 [doi]
• Pay Attention to Devils: A Photometric Stereo Network for Better DetailsYakun Ju, Kin-Man Lam, Yang Chen, Lin Qi, Junyu Dong. 694-700 [doi]
• E3SN: Efficient End-to-End Siamese Network for Video Object SegmentationMeng Lan, Yipeng Zhang, Qinning Xu, Lefei Zhang. 701-707 [doi]
• TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual TrackingSiyuan Li, Zhi Zhang, Ziyu Liu, Anna Wang, Linglong Qiu, Feng Du. 708-715 [doi]
• Learning Task-aware Local Representations for Few-shot LearningChuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao. 716-722 [doi]
• Bi-level Probabilistic Feature Learning for Deformable Image RegistrationRisheng Liu, Zi Li, Yuxi Zhang, Xin Fan, Zhongxuan Luo. 723-730 [doi]
• G2RL: Geometry-Guided Representation Learning for Facial Action Unit Intensity EstimationYingruo Fan, Zhaojiang Lin. 731-737 [doi]
• Visual Encoding and Decoding of the Human Brain Based on Shared FeaturesChao Li, Baolin Liu, Jianguo Wei. 738-744 [doi]
• Learning to Discretely Compose Reasoning Module Networks for Video CaptioningGanchao Tan, Daqing Liu, Meng Wang, Zheng-Jun Zha. 745-752 [doi]
• Multi-Scale Spatial-Temporal Integration Convolutional Tube for Human Action RecognitionHaoze Wu 0003, Jiawei Liu, Xierong Zhu, Meng Wang, Zheng-Jun Zha. 753-759 [doi]
• Latent Regularized Generative Dual Adversarial Network For Abnormal DetectionChengwei Chen, Jing Liu, Yuan Xie, Yin Xiao Ban, Chunyun Wu, Yiqing Tao, Haichuan Song. 760-766 [doi]
• Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent LearningLongteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, Hanqing Lu. 767-773 [doi]
• k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point ProcessesJiping Zheng, Ganfeng Lu. 774-781 [doi]
• Semi-Dynamic Hypergraph Neural Network for 3D Pose EstimationShengyuan Liu, Pei Lv, Yuzhen Zhang, Jie Fu, Junjin Cheng, Wanqing Li, Bing Zhou, Mingliang Xu. 782-788 [doi]
• AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic SegmentationGege Zhang, Qinghua Ma, Licheng Jiao, Fang Liu, Qigong Sun. 789-796 [doi]
• Position-Aware Recalibration Module: Learning From Feature Semantics and Feature PositionXu Ma, Song Fu. 797-803 [doi]
• Transductive Relation-Propagation Network for Few-shot LearningYuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu. 804-810 [doi]
• Few-shot Visual Learning with Contextual Memory and Fine-grained CalibrationYuqing Ma, Wei Liu, Shihao Bai, Qingyu Zhang, Aishan Liu, Weimin Chen 0002, Xianglong Liu. 811-817 [doi]
• Dynamic Language Binding in Relational Visual ReasoningThao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran 0001. 818-824 [doi]
• Deep Polarized Network for Supervised Learning of Accurate Binary Hashing CodesLixin Fan, KamWoh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan. 825-831 [doi]
• BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument SegmentationZhen-Liang Ni, Gui-bin Bian, Guan'an Wang, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Zhen Li, Yu-Han Wang. 832-838 [doi]
• Hierarchical Instance Feature Alignment for 2D Image-Based 3D Shape RetrievalHeyu Zhou, Weizhi Nie, Wenhui Li, Dan Song, An-An Liu. 839-845 [doi]
• Few-shot Human Motion Prediction via Learning Novel Motion DynamicsChuanqi Zang, Mingtao Pei, Yu Kong. 846-852 [doi]
• Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal HashingWeiwei Wang, Yuming Shen, Haofeng Zhang, Yazhou Yao, Li Liu 0004. 853-859 [doi]
• Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic EmbeddingsMennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand. 860-867 [doi]
• Overflow Aware Quantization: Accelerating Neural Network Inference by Low-bit Multiply-Accumulate OperationsHongwei Xie, Yafei Song, Ling Cai, Mingyang Li. 868-875 [doi]
• Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction ErrorCelia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, Edward McFowland. 876-882 [doi]
• Consistent Domain Structure Learning and Domain Alignment for 2D Image-Based 3D Objects RetrievalYuting Su, Yuqian Li, Dan Song, Weizhi Nie, Wenhui Li, An-An Liu. 883-889 [doi]
• Diagnosing the Environment Bias in Vision-and-Language NavigationYubo Zhang, Hao Tan, Mohit Bansal. 890-897 [doi]
• Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-IdentificationHaocong Rao, Siqi Wang, Xiping Hu 0001, Mingkui Tan, Huang Da, Jun Cheng 0002, Bin Hu 0001. 898-905 [doi]
• Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual SpaceLicheng Zhang, Xianzhi Wang 0001, Lina Yao, Lin Wu, Feng Zheng. 906-912 [doi]
• Unsupervised Vehicle Re-identification with Progressive AdaptationJinjia Peng, Yang Wang, Huibing Wang, Zhao Zhang, XianPing Fu, Meng Wang. 913-919 [doi]
• Recurrent Relational Memory Network for Unsupervised Image CaptioningDan Guo, Yang Wang, Peipei Song, Meng Wang. 920-926 [doi]
• Temporal Adaptive Alignment Network for Deep Video InpaintingRuixin Liu, Zhenyu Weng, Yuesheng Zhu, Bairong Li. 927-933 [doi]
• Bidirectional Adversarial Training for Semi-Supervised Domain AdaptationPin Jiang, Aming Wu, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li. 934-940 [doi]
• Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video DescriptionKai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao 0001, Yueting Zhuang. 941-947 [doi]
• Polar Relative Positional Encoding for Video-Language SegmentationKe Ning, Lingxi Xie, Fei Wu, Qi Tian 0001. 948-954 [doi]
• Label-Attended Hashing for Multi-Label Image RetrievalYanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, Ke Zhou 0001. 955-962 [doi]
• Self-supervised Monocular Depth and Visual Odometry Learning with Scale-consistent Geometric ConstraintsMingkang Xiong, Zhenghong Zhang, Weilin Zhong, Jinsheng Ji, Jiyuan Liu, Huilin Xiong. 963-969 [doi]
• DIDFuse: Deep Image Decomposition for Infrared and Visible Image FusionZixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, Pengfei Li. 970-976 [doi]
• TRP: Trained Rank Pruning for Efficient Deep Neural NetworksYuhui Xu, Yuxi Li, Shuai Zhang 0009, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong. 977-983 [doi]
• Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image RetrievalXinxun Xu, Muli Yang, Yanhua Yang, Hao Wang 0062. 984-990 [doi]
• HAF-SVG: Hierarchical Stochastic Video Generation with Aligned FeaturesZhihui Lin, Chun Yuan, Maomao Li. 991-997 [doi]
• Feature Augmented Memory with Global Attention Network for VideoQAJiayin Cai, Chun Yuan, Cheng Shi, Lei Li, Yangyang Cheng, Ying Shan. 998-1004 [doi]
• Exploiting Visual Semantic Reasoning for Video-Text RetrievalZerun Feng, Zhimin Zeng, Caili Guo, Zheng Li 0014. 1005-1011 [doi]
• Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in VideosJiawei Liu, Zheng-Jun Zha, Xierong Zhu, Na Jiang. 1012-1018 [doi]
• Self-Supervised Tuning for Few-Shot SegmentationKai Zhu, Wei Zhai, Yang Cao 0010. 1019-1025 [doi]
• A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identificationMengxi Jia, Yunpeng Zhai, Shijian Lu, Siwei Ma, Jian Zhang. 1026-1032 [doi]
• CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNsLi'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen 0001, Yanjun Zhu, David S. Doermann. 1033-1039 [doi]
• Weakly Supervised Local-Global Relation Network for Facial Expression RecognitionHaifeng Zhang, Wen Su, Jun Yu 0001, Zengfu Wang. 1040-1046 [doi]
• Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain ShiftQinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng. 1047-1053 [doi]
• Dress like an Internet Celebrity: Fashion Retrieval in VideosHongrui Zhao, Jin Yu, Yanan Li, Donghui Wang, Jie Liu, Hongxia Yang, Fei Wu. 1054-1060 [doi]
• Video Question Answering on Screencast TutorialsWentian Zhao, Seokhwan Kim, Ning Xu, Hailin Jin. 1061-1068 [doi]
• Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video GroundingZhu Zhang, Zhou Zhao, Zhijie Lin, Baoxing Huai, Jing Yuan. 1069-1075 [doi]
• Unsupervised Scene Adaptation with Memory Regularization in vivoZhedong Zheng, Yi Yang. 1076-1082 [doi]
• Overcoming Language Priors with Self-supervised Learning for Visual Question AnsweringXi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang. 1083-1089 [doi]
• Multi-attention Meta Learning for Few-shot Fine-grained Image RecognitionYaohui Zhu, Chenlong Liu, Shuqiang Jiang. 1090-1096 [doi]
• Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question AnsweringZihao Zhu, Jing Yu, Yujing Wang, Yajing Sun, Yue Hu 0002, Qi Wu. 1097-1103 [doi]
• Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction DetectionXue Lin, Qi Zou, Xixia Xu. 1104-1110 [doi]
• A Graph-based Interactive Reasoning for Human-Object Interaction DetectionDongming Yang, Yuexian Zou. 1111-1117 [doi]
• Diversity of Solutions: An Exploration Through the Lens of Fixed-Parameter Tractability TheoryJulien Baste, Michael R. Fellows, Lars Jaffke, Tomás Masarík, Mateus de Oliveira Oliveira, Geevarghese Philip, Frances A. Rosamond. 1119-1125 [doi]
• Early and Efficient Identification of Useless Constraint Propagation for Alldifferent ConstraintsXizhe Zhang, Jian Gao, Yizhi Lv, Weixiong Zhang. 1126-1133 [doi]
• Subgraph Isomorphism Meets Cutting Planes: Solving With Certified SolutionsStephan Gocht, Ciaran McCreesh, Jakob Nordström. 1134-1140 [doi]
• Extended Conjunctive Normal Form and An Efficient Algorithm for Cardinality ConstraintsZhendong Lei, Shaowei Cai, Chuan Luo. 1141-1147 [doi]
• On Irrelevant Literals in Pseudo-Boolean Constraint LearningDaniel Le Berre, Pierre Marquis, Stefan Mengel, Romain Wallon. 1148-1154 [doi]
• Fast and Parallel Decomposition of Constraint Satisfaction ProblemsGeorg Gottlob, Cem Okulmus, Reinhard Pichler. 1155-1162 [doi]
• Learning Sensitivity of RCPSP by Analyzing the Search ProcessMarc-André Ménard, Claude-Guy Quimper, Jonathan Gaudreault. 1163-1169 [doi]
• Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoostHao Hu, Mohamed Siala 0002, Emmanuel Hebrard, Marie-José Huguet. 1170-1176 [doi]
• NLocalSAT: Boosting Local Search with Solution PredictionWenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang. 1177-1183 [doi]
• Bipartite Encoding: A New Binary Encoding for Solving Non-Binary CSPsRuiwei Wang, Roland H. C. Yap. 1184-1191 [doi]
• Automatic Dominance Breaking for a Class of Constraint Optimization ProblemsJimmy Ho-Man Lee, Allen Z. Zhong. 1192-1200 [doi]
• Cause-Effect Association between Event Pairs in Event DatasetsDebarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian. 1202-1208 [doi]
• Inductive Link Prediction for Nodes Having Only Attribute InformationYu Hao, Xin Cao 0001, Yixiang Fang, Xike Xie, Sibo Wang 0001. 1209-1215 [doi]
• Optimal Region Search with Submodular MaximizationXueFeng Chen, Xin Cao 0001, Yifeng Zeng, Yixiang Fang, Bin Yao. 1216-1222 [doi]
• Discrete Embedding for Latent NetworksHong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou 0001, Peng Zhang. 1223-1229 [doi]
• GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine ComprehensionYu Chen 0022, Lingfei Wu, Mohammed J. Zaki. 1230-1236 [doi]
• Motif-Preserving Temporal Network EmbeddingHong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin 0001. 1237-1243 [doi]
• Robustness of Autoencoders for Anomaly Detection Under Adversarial ImpactAdam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng. 1244-1250 [doi]
• Opinion Maximization in Social Trust NetworksPinghua Xu, Wenbin Hu, Jia Wu 0001, Weiwei Liu 0003. 1251-1257 [doi]
• MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor ProductZhichao Huang, Xutao Li, Yunming Ye, Michael K. Ng. 1258-1264 [doi]
• On the Enumeration of Association Rules: A Decomposition-based ApproachYacine Izza, Saïd Jabbour, Badran Raddaoui, Abdelhamid Boudane. 1265-1271 [doi]
• Speeding up Very Fast Decision Tree with Low Computational CostJian Sun, Hongyu Jia, Bo Hu, Xiao Huang, Hao Zhang, Hai Wan, Xibin Zhao. 1272-1278 [doi]
• Simultaneous Arrival Matching for New Spatial Crowdsourcing PlatformsBoyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen. 1279-1287 [doi]
• Inductive Anomaly Detection on Attributed NetworksKaize Ding, Jundong Li, Nitin Agarwal, Huan Liu. 1288-1294 [doi]
• Enhancing Urban Flow Maps via Neural ODEsFan Zhou 0002, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang. 1295-1302 [doi]
• When Do GNNs Work: Understanding and Improving Neighborhood AggregationYiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han 0001. 1303-1309 [doi]
• A Spatial Missing Value Imputation Method for Multi-view Urban Statistical DataYongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong. 1310-1316 [doi]
• GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity InteractionsHanchen Wang, Defu Lian, Ying Zhang 0001, Lu Qin, Xuemin Lin 0001. 1317-1323 [doi]
• GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage ClassificationZiyu Jia, Youfang Lin, Jing Wang 0060, Ronghao Zhou, Xiaojun Ning, Yuanlai He, Yaoshuai Zhao. 1324-1330 [doi]
• A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation ModellingJie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li 0008. 1331-1337 [doi]
• Rebalancing Expanding EV Sharing Systems with Deep Reinforcement LearningMan Luo, Wenzhe Zhang, Tianyou Song, Kun Li, Hongming Zhu, Bowen Du, Hongkai Wen 0001. 1338-1344 [doi]
• Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block ModelAvirup Saha, Shreyas Sheshadri, Samik Datta, Niloy Ganguly, Disha Makhija, Priyank Patel. 1345-1351 [doi]
• Multi-Channel Graph Neural NetworksKaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu. 1352-1358 [doi]
• Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth RegressionPeiyan Li, Honglian Wang, Christian Böhm, Junming Shao. 1359-1365 [doi]
• Network Schema Preserving Heterogeneous Information Network EmbeddingJianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye. 1366-1372 [doi]
• Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label LearningXiMing Li, Yang Wang. 1373-1380 [doi]
• JANE: Jointly Adversarial Network EmbeddingLiang Yang 0002, Yuexue Wang, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo. 1381-1387 [doi]
• Evidence-Aware Hierarchical Interactive Attention Networks for Explainable Claim VerificationLianwei Wu, Yuan Rao, Xiong Yang, Wanzhen Wang, Ambreen Nazir. 1388-1394 [doi]
• Improving Attention Mechanism in Graph Neural Networks via Cardinality PreservationShuo Zhang, Lei Xie. 1395-1402 [doi]
• Graph Neural Architecture SearchYang Gao, Hong Yang, Peng Zhang 0001, Chuan Zhou 0001, Yue Hu 0002. 1403-1409 [doi]
• Domain Adaptive Classification on Heterogeneous Information NetworksShuwen Yang, Guojie Song, Yilun Jin, Lun Du. 1410-1416 [doi]
• Rumor Detection on Social Media with Graph Structured Adversarial LearningXiaoyu Yang, Yuefei Lyu, Tian Tian, YiFei Liu, Yudong Liu, Xi Zhang. 1417-1423 [doi]
• Joint Representation Learning of Legislator and Legislation for Roll Call PredictionYuqiao Yang, Xiaoqiang Lin, Geng Lin, Zengfeng Huang, Changjian Jiang, Zhongyu Wei. 1424-1430 [doi]
• Entity Synonym Discovery via Multipiece Bilateral Context MatchingChenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu. 1431-1437 [doi]
• BANANA: when Behavior ANAlysis meets social Network AlignmentFuxin Ren, Zhongbao Zhang, Jiawei Zhang, Sen Su, Li Sun, Guozhen Zhu, Congying Guo. 1438-1444 [doi]
• Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex OptimizationYi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh. 1445-1451 [doi]
• Bilinear Graph Neural Network with Neighbor InteractionsHongmin Zhu, Fuli Feng, Xiangnan He 0001, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang. 1452-1458 [doi]
• Unsatisfiability Proofs for Weight 16 Codewords in Lam's ProblemCurtis Bright, Kevin K. H. Cheung, Brett Stevens, Ilias S. Kotsireas, Vijay Ganesh. 1460-1466 [doi]
• Two-goal Local Search and Inference Rules for Minimum Dominating SetShaowei Cai, Wenying Hou, Yiyuan Wang, Chuan Luo, Qingwei Lin. 1467-1473 [doi]
• Self-Guided Evolution Strategies with Historical Estimated GradientsFei-Yu Liu, Zi-Niu Li, Chao Qian. 1474-1480 [doi]
• Vertex Weighting-Based Tabu Search for p-Center ProblemQingyun Zhang, Zhipeng Lü, Zhouxing Su, Chumin Li, Yuan Fang, Fuda Ma. 1481-1487 [doi]
• Exploration Based Language Learning for Text-Based GamesAndrea Madotto, Mahdi Namazifar, Joost Huizinga, Piero Molino, Adrien Ecoffet, Huaixiu Zheng, Alexandros Papangelis, Dian Yu, Chandra Khatri, Gökhan Tür. 1488-1494 [doi]
• Intelligent Virtual Machine Provisioning in Cloud ComputingChuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang 0002, Wei Wu, Andrew Zhou, Qingwei Lin. 1495-1502 [doi]
• NuCDS: An Efficient Local Search Algorithm for Minimum Connected Dominating SetBohan Li, Xindi Zhang, Shaowei Cai, Jinkun Lin, Yiyuan Wang, Christian Blum. 1503-1510 [doi]
• Structured Probabilistic End-to-End Learning from CrowdsZhijun Chen, Huimin Wang, Hailong Sun 0001, Pengpeng Chen, Tao Han 0003, Xudong Liu, Jie Yang. 1512-1518 [doi]
• LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object RecognitionXiang Cheng, Yunzhe Hao, Jiaming Xu, Bo Xu 0002. 1519-1525 [doi]
• Learning to Complement HumansBryan Wilder, Eric Horvitz, Ece Kamar. 1526-1533 [doi]
• Performance as a Constraint: An Improved Wisdom of Crowds Using Performance RegularizationJiyi Li, Yasushi Kawase, Yukino Baba, Hisashi Kashima. 1534-1541 [doi]
• Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware AutoencoderLi'ang Yin, Yunfei Liu, Weinan Zhang 0001, Yong Yu 0001. 1542-1548 [doi]
• Incorporating Failure Events in Agents' Decision Making to Improve User SatisfactionDavid Sarne, Chen Rozenshtein. 1549-1555 [doi]
• Incorporating Failure Events in Agents' Decision Making to Improve User SatisfactionDavid Sarne, Chen Rozenshtein. 1556-1562 [doi]
• Optimal Complex Task Assignment in Service CrowdsourcingFeilong Tang. 1563-1569 [doi]
• Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG DataZhijie Fang, Weiqun Wang, Shixin Ren, Jiaxing Wang, Weiguo Shi, Xu Liang, Chen-Chen Fan, Zeng-Guang Hou. 1570-1576 [doi]
• Improving Knowledge Tracing via Pre-training Question EmbeddingsYunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu. 1577-1583 [doi]
• Boolean Games: Inferring Agents' Goals Using Taxation QueriesAbhijin Adiga, Sarit Kraus, Oleg Maksimov, S. S. Ravi. 1585-1591 [doi]
• Pitfalls of Learning a Reward Function OnlineStuart Armstrong, Jan Leike, Laurent Orseau, Shane Legg. 1592-1600 [doi]
• A Dataset Complexity Measure for Analogical TransferFadi Badra. 1601-1607 [doi]
• Answering Counting Queries over DL-Lite OntologiesMeghyn Bienvenu, Quentin Manière, Michaël Thomazo. 1608-1614 [doi]
• Implementing Theory of Mind on a Robot Using Dynamic Epistemic LogicLasse Dissing, Thomas Bolander. 1615-1621 [doi]
• Maximizing the Spread of an Opinion in Few Steps: Opinion Diffusion in Non-Binary NetworksRobert Bredereck, Lilian Jacobs, Leon Kellerhals. 1622-1628 [doi]
• Diagnosing Software Faults Using Multiverse AnalysisPrantik Chatterjee, Abhijit Chatterjee, José Campos, Rui Abreu, Subhajit Roy. 1629-1635 [doi]
• Deductive Module Extraction for Expressive Description LogicsPatrick Koopmann, Jieying Chen. 1636-1643 [doi]
• Neural Entity Summarization with Joint Encoding and Weak SupervisionJunyou Li, Gong Cheng 0001, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen. 1644-1650 [doi]
• Switch-List Representations in a Knowledge Compilation MapOndrej Cepek, Milos Chromý. 1651-1657 [doi]
• Counting Query Answers over a DL-Lite Knowledge BaseDiego Calvanese, Julien Corman, Davide Lanti, Simon Razniewski. 1658-1666 [doi]
• Deep Learning for Abstract Argumentation SemanticsDennis Craandijk, Floris Bex. 1667-1673 [doi]
• Synthesizing strategies under expected and exceptional environment behaviorsBenjamin Aminof, Giuseppe De Giacomo, Alessio Lomuscio, Aniello Murano, Sasha Rubin. 1674-1680 [doi]
• A Framework for Reasoning about Dynamic Axioms in Description LogicsBartosz Bednarczyk, Stéphane Demri, Alessio Mansutti. 1681-1687 [doi]
• Overcoming the Grounding Bottleneck Due to Constraints in ASP Solving: Constraints Become PropagatorsBernardo Cuteri, Carmine Dodaro, Francesco Ricca, Peter Schüller. 1688-1694 [doi]
• A Logic of DirectionsHeshan Du, Natasha Alechina, Anthony G. Cohn. 1695-1702 [doi]
• Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT SolversKaisheng Wu, Liangda Fang, Liping Xiong, Zhao-Rong Lai, Yong Qiao, Kaidong Chen, Fei Rong. 1703-1711 [doi]
• Revisiting the Notion of Extension over Incomplete Abstract Argumentation FrameworksBettina Fazzinga, Sergio Flesca, Filippo Furfaro. 1712-1718 [doi]
• All-Instances Oblivious Chase Termination is Undecidable for Single-Head Binary TGDsBartosz Bednarczyk, Robert Ferens, Piotr Ostropolski-Nalewaja. 1719-1725 [doi]
• Semantic Width and the Fixed-Parameter Tractability of Constraint Satisfaction ProblemsHubie Chen, Georg Gottlob, Matthias Lanzinger, Reinhard Pichler. 1726-1733 [doi]
• Smart VotingRachael Colley, Umberto Grandi, Arianna Novaro. 1734-1740 [doi]
• The Complexity Landscape of Resource-Constrained SchedulingRobert Ganian, Thekla Hamm, Guillaume Mescoff. 1741-1747 [doi]
• Enriching Documents with Compact, Representative, Relevant Knowledge GraphsShuxin Li, Zixian Huang, Gong Cheng 0001, Evgeny Kharlamov, Kalpa Gunaratna. 1748-1754 [doi]
• NeurASP: Embracing Neural Networks into Answer Set ProgrammingZhun Yang, Adam Ishay, Joohyung Lee. 1755-1762 [doi]
• Belief Merging Operators as Maximum Likelihood EstimatorsPatricia Everaere, Sébastien Konieczny, Pierre Marquis. 1763-1769 [doi]
• On Computational Aspects of Iterated Belief ChangeNicolas Schwind, Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis. 1770-1776 [doi]
• Rewriting the Description Logic ALCHIQ to Disjunctive Existential RulesDavid Carral, Markus Krötzsch. 1777-1783 [doi]
• Lower Bounds and Faster Algorithms for Equality ConstraintsPeter Jonsson, Victor Lagerkvist. 1784-1790 [doi]
• Controlled Query Evaluation in Description Logics Through Instance IndistinguishabilityGianluca Cima, Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo. 1791-1797 [doi]
• On the Decidability of Intuitionistic Tense Logic without DisjunctionFei Liang, Zhe Lin. 1798-1804 [doi]
• A Modal Logic for Joint Abilities under Strategy CommitmentsZhaoshuai Liu, Liping Xiong, Yongmei Liu 0001, Yves Lespérance, Ronghai Xu, Hongyi Shi. 1805-1812 [doi]
• On Robustness in Qualitative Constraint NetworksMichael Sioutis, Zhiguo Long, Tomi Janhunen. 1813-1819 [doi]
• Cone Semantics for Logics with NegationÖzgür Lütfü Özçep, Mena Leemhuis, Diedrich Wolter. 1820-1826 [doi]
• A Journey into Ontology Approximation: From Non-Horn to HornAnneke Haga, Carsten Lutz, Johannes Marti, Frank Wolter. 1827-1833 [doi]
• Lower Bounds for Approximate Knowledge CompilationAlexis de Colnet, Stefan Mengel. 1834-1840 [doi]
• A Fully Rational Account of Structured Argumentation Under Resource BoundsMarcello D'Agostino, Sanjay Modgil. 1841-1847 [doi]
• Solving Analogies on Words based on Minimal Complexity TransformationPierre-Alexandre Murena, Marie Al-Ghossein, Jean-Louis Dessalles, Antoine Cornuéjols. 1848-1854 [doi]
• Controllability of Control Argumentation FrameworksAndreas Niskanen, Daniel Neugebauer, Matti Järvisalo. 1855-1861 [doi]
• Provenance for the Description Logic ELHrCamille Bourgaux, Ana Ozaki, Rafael Peñaloza, Livia Predoiu. 1862-1869 [doi]
• On the Learnability of Possibilistic TheoriesCosimo Persia, Ana Ozaki. 1870-1876 [doi]
• Concurrent Games in Dynamic Epistemic LogicBastien Maubert, Sophie Pinchinat, François Schwarzentruber, Silvia Stranieri. 1877-1883 [doi]
• Model-Based Synthesis of Incremental and Correct Estimators for Discrete Event SystemsStéphanie Roussel 0001, Xavier Pucel, Valentin Bouziat, Louise Travé-Massuyès. 1884-1890 [doi]
• Inconsistency Measurement for Improving Logical Formula ClusteringYakoub Salhi. 1891-1897 [doi]
• Threshold Treewidth and Hypertree WidthRobert Ganian, André Schidler, Manuel Sorge, Stefan Szeider. 1898-1904 [doi]
• Adversarial Oracular Seq2seq Learning for Sequential RecommendationPengyu Zhao, Tianxiao Shui, Yuanxing Zhang, Kecheng Xiao, Kaigui Bian. 1905-1911 [doi]
• Ranking Semantics for Argumentation Systems With NecessitiesDragan Doder, Srdjan Vesic, Madalina Croitoru. 1912-1918 [doi]
• Tractable Fragments of Datalog with Metric Temporal OperatorsPrzemyslaw Andrzej Walega, Bernardo Cuenca Grau, Mark Kaminski, Egor V. Kostylev. 1919-1925 [doi]
• Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph ReasoningGuojia Wan, Shirui Pan, Chen Gong 0002, Chuan Zhou 0001, Gholamreza Haffari. 1926-1932 [doi]
• Query Answering for Existential Rules via Efficient Datalog RewritingZhe Wang, Peng Xiao, Kewen Wang, Zhiqiang Zhuang, Hai Wan. 1933-1939 [doi]
• Model-theoretic Characterizations of Existential Rule LanguagesHeng Zhang 0006, Yan Zhang, Guifei Jiang. 1940-1946 [doi]
• Learning and Solving Regular Decision ProcessesEden Abadi, Ronen I. Brafman. 1948-1954 [doi]
• Stabilizing Adversarial Invariance Induction from Divergence Minimization PerspectiveYusuke Iwasawa, Kei Akuzawa, Yutaka Matsuo. 1955-1962 [doi]
• Learning With Subquadratic Regularization : A Primal-Dual ApproachRaman Sankaran, Francis Bach, Chiranjib Bhattacharyya. 1963-1969 [doi]
• Learning Interpretable Representations with Informative EntanglementsEge Beyazit, Doruk Tuncel, Xu Yuan, Nian-Feng Tzeng, Xindong Wu 0001. 1970-1976 [doi]
• Order-Dependent Event Models for Agent InteractionsDebarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian. 1977-1983 [doi]
• Neural Representation and Learning of Hierarchical 2-additive Choquet IntegralsRoman Bresson, Johanne Cohen, Eyke Hüllermeier, Christophe Labreuche, Michèle Sebag. 1984-1991 [doi]
• Reinforcement Learning with Dynamic Boltzmann Softmax UpdatesLing Pan, Qingpeng Cai, Qi Meng, Wei Chen 0034, Longbo Huang. 1992-1998 [doi]
• A New Attention Mechanism to Classify Multivariate Time SeriesYifan Hao, Huiping Cao. 1999-2005 [doi]
• Explainable Inference on Sequential Data via Memory-TrackingBiagio La Rosa, Roberto Capobianco, Daniele Nardi. 2006-2013 [doi]
• Positive Unlabeled Learning with Class-prior ApproximationShizhen Chang, Bo Du 0001, Liangpei Zhang. 2014-2021 [doi]
• IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RLNirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam. 2022-2028 [doi]
• Switching Poisson Gamma Dynamical SystemsWenchao Chen, Bo Chen 0001, Yicheng Liu, Qianru Zhao, Mingyuan Zhou. 2029-2036 [doi]
• Variational Learning of Bayesian Neural Networks via Bayesian Dark KnowledgeGehui Shen, Xi Chen, Zhi-Hong Deng. 2037-2043 [doi]
• Bayesian Decision Process for Budget-efficient Crowdsourced ClusteringXiaozhou Wang, Xi Chen, Qihang Lin, Weidong Liu. 2044-2050 [doi]
• An Online Learning Framework for Energy-Efficient Navigation of Electric VehiclesNiklas Åkerblom, Yuxin Chen 0001, Morteza Haghir Chehreghani. 2051-2057 [doi]
• Compressed Self-Attention for Deep Metric Learning with Low-Rank ApproximationZiye Chen, Mingming Gong, Lingjuan Ge, Bo Du. 2058-2064 [doi]
• Flow-based Intrinsic Curiosity ModuleHsuan-Kung Yang, Po-Han Chiang, Min-Fong Hong, Chun-Yi Lee. 2065-2072 [doi]
• Learning Large Logic Programs By Going Beyond EntailmentAndrew Cropper, Sebastijan Dumancic. 2073-2079 [doi]
• Fully Nested Neural Network for Adaptive Compression and QuantizationYufei Cui, Ziquan Liu, Wuguannan Yao, Qiao Li 0001, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue. 2080-2087 [doi]
• SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture SearchYaoming Wang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong. 2088-2095 [doi]
• Potential Driven Reinforcement Learning for Hard Exploration TasksEnmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing. 2096-2102 [doi]
• The Sparse MinMax k-Means Algorithm for High-Dimensional ClusteringSayak Dey, Swagatam Das, Rammohan Mallipeddi. 2103-2110 [doi]
• Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural NetworksTuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung. 2111-2118 [doi]
• Marthe: Scheduling the Learning Rate Via Online HypergradientsMichele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi. 2119-2125 [doi]
• Coloring Graph Neural Networks for Node DisambiguationGeorge Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux. 2126-2132 [doi]
• Self-paced Consensus Clustering with Bipartite GraphPeng Zhou 0006, Liang Du, Xuejun Li. 2133-2139 [doi]
• Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural NetworksMaxime Wabartha, Audrey Durand, Vincent François-Lavet, Joelle Pineau. 2140-2147 [doi]
• Non-monotone DR-submodular Maximization over General Convex SetsChristoph Dürr, Nguyen Kim Thang, Abhinav Srivastav, Léo Tible. 2148-2154 [doi]
• Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced DataRémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban. 2155-2161 [doi]
• Metric Learning in Optimal Transport for Domain AdaptationTanguy Kerdoncuff, Rémi Emonet, Marc Sebban. 2162-2168 [doi]
• Memory Augmented Neural Model for Incremental Session-based RecommendationFei Mi, Boi Faltings. 2169-2176 [doi]
• Decorrelated Clustering with Data Selection BiasXiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang. 2177-2183 [doi]
• Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States!Dingqi Yang, Benjamin Fankhauser, Paolo Rosso, Philippe Cudré-Mauroux. 2184-2190 [doi]
• Knowledge Hypergraphs: Prediction Beyond Binary RelationsBahare Fatemi, Perouz Taslakian, David Vázquez, David Poole 0001. 2191-2197 [doi]
• Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement LearningDieqiao Feng, Carla P. Gomes, Bart Selman. 2198-2205 [doi]
• Can Cross Entropy Loss Be Robust to Label Noise?Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li 0006, Bo An 0001. 2206-2212 [doi]
• Learning Interpretable Models in the Property Specification LanguageRajarshi Roy 0002, Dana Fisman, Daniel Neider. 2213-2219 [doi]
• Best Arm Identification in Spectral BanditsTomás Kocák, Aurélien Garivier. 2220-2226 [doi]
• Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question AnsweringTao Shen, Xiubo Geng, Guodong Long, Jing Jiang 0002, Chengqi Zhang, Daxin Jiang. 2227-2233 [doi]
• Human-Driven FOL Explanations of Deep LearningGabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci. 2234-2240 [doi]
• Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory ModelsFrank Nussbaum, Joachim Giesen. 2241-2247 [doi]
• Online Positive and Unlabeled LearningChuang Zhang, Chen Gong 0002, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang 0003. 2248-2254 [doi]
• Batch Decorrelation for Active Metric LearningPriyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri. 2255-2261 [doi]
• Fairness-Aware Neural Rényi Minimization for Continuous FeaturesVincent Grari, Sylvain Lamprier, Marcin Detyniecki. 2262-2268 [doi]
• Towards Accurate and Robust Domain Adaptation under Noisy EnvironmentsZhongyi Han, Xian-Jin Gui, Chaoran Cui, Yilong Yin. 2269-2276 [doi]
• FNNC: Achieving Fairness through Neural NetworksPadala Manisha, Sujit Gujar. 2277-2283 [doi]
• Randomised Gaussian Process Upper Confidence Bound for Bayesian OptimisationJulian Berk, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. 2284-2290 [doi]
• KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal KnowledgePeng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng. 2291-2297 [doi]
• Soft Threshold Ternary NetworksWeixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng 0001. 2298-2304 [doi]
• DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionAlexander Schulz 0001, Fabian Hinder, Barbara Hammer. 2305-2311 [doi]
• Complete Bottom-Up Predicate Invention in Meta-Interpretive LearningCéline Hocquette, Stephen H. Muggleton. 2312-2318 [doi]
• Interpretable Models for Understanding Immersive SimulationsNicholas Hoernle, Kobi Gal, Barbara J. Grosz, Leilah Lyons, Ada Ren, Andee Rubin. 2319-2325 [doi]
• DropNAS: Grouped Operation Dropout for Differentiable Architecture SearchWeijun Hong, Guilin Li, Weinan Zhang 0001, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu 0001. 2326-2332 [doi]
• Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket PlanningShoujin Wang, Liang Hu 0004, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao. 2333-2339 [doi]
• Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label RegularizerQian Li 0024, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma, Jian Zhang. 2340-2346 [doi]
• Unsupervised Monocular Visual-inertial Odometry NetworkPeng Wei, Guoliang Hua, Weibo Huang, Fanyang Meng, Hong Liu. 2347-2354 [doi]
• LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional NetworksRongzhou Huang, Chuyin Huang, Yubao Liu, Genan Dai, Weiyang Kong. 2355-2361 [doi]
• Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence LearningHao Zhu, Huaibo Huang, Yi Li, Aihua Zheng, Ran He. 2362-2368 [doi]
• Tensor-based multi-view label enhancement for multi-label learningFangwen Zhang, Xiuyi Jia, Weiwei Li. 2369-2375 [doi]
• Privileged label enhancement with multi-label learningWenfang Zhu, Xiuyi Jia, Weiwei Li. 2376-2382 [doi]
• Optimal Margin Distribution Machine for Multi-Instance LearningTeng Zhang, Hai Jin 0001. 2383-2389 [doi]
• Knowledge-Based Regularization in Generative ModelingNaoya Takeishi, Yoshinobu Kawahara. 2390-2396 [doi]
• Generalized Mean Estimation in Monte-Carlo Tree SearchTuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters 0001, Joni Pajarinen. 2397-2404 [doi]
• Logic Constrained Pointer Networks for Interpretable Textual SimilaritySubhadeep Maji, Rohan Kumar, Manish Bansal, Kalyani Roy, Pawan Goyal. 2405-2411 [doi]
• Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition DataMasahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda. 2412-2419 [doi]
• Towards a Hierarchical Bayesian Model of Multi-View Anomaly DetectionZhen Wang, Chao Lan. 2420-2426 [doi]
• Synthesizing Aspect-Driven Recommendation Explanations from ReviewsTrung Hoang Le, Hady W. Lauw. 2427-2434 [doi]
• Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image DetectionSehun Yu, Dongha Lee, Hwanjo Yu. 2435-2441 [doi]
• Embodied Multimodal Multitask LearningDevendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra. 2442-2448 [doi]
• Neural Tensor Model for Learning Multi-Aspect Factors in Recommender SystemsHuiyuan Chen, Jing Li 0002. 2449-2455 [doi]
• Scalable Gaussian Process Regression NetworksShibo Li, Wei Xing, Robert M. Kirby, Shandian Zhe. 2456-2462 [doi]
• AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture SearchDaoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou. 2463-2469 [doi]
• Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data ModellingYaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson. 2470-2476 [doi]
• Collaboration Based Multi-Label Propagation for Fraud DetectionHaobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu 0003, Tianlei Hu, Gang Chen. 2477-2483 [doi]
• Contextualized Point-of-Interest RecommendationPeng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang. 2484-2490 [doi]
• MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action RectificationZhengxu Yu, Shuxian Liang, Long Wei, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He 0001, Xian-Sheng Hua 0001. 2491-2497 [doi]
• Hypothesis Sketching for Online Kernel Selection in Continuous Kernel SpaceXiao Zhang, Shizhong Liao. 2498-2504 [doi]
• Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement LearningIshan Durugkar, Elad Liebman, Peter Stone. 2505-2511 [doi]
• Multi-label Feature Selection via Global Relevance and Redundancy OptimizationJia Zhang, Yidong Lin, Min Jiang 0005, Shaozi Li, Yong Tang, Kay Chen Tan. 2512-2518 [doi]
• Deep Feedback Network for RecommendationRuobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin. 2519-2525 [doi]
• Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain AdaptationYiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang 0001, Jie Lu 0001. 2526-2532 [doi]
• Argot: Generating Adversarial Readable Chinese TextsZihan Zhang, Mingxuan Liu, Chao Zhang, Yiming Zhang, Zhou Li 0001, Qi Li, Haixin Duan, Donghong Sun. 2533-2539 [doi]
• Joint Partial Optimal Transport for Open Set Domain AdaptationRenjun Xu, Pelen Liu, Yin Zhang, Fang Cai, Jindong Wang 0001, Shuoying Liang, Heting Ying, Jianwei Yin. 2540-2546 [doi]
• Multivariate Probability Calibration with Isotonic Bernstein PolynomialsYongqiao Wang, Xudong Liu. 2547-2553 [doi]
• Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness ConstraintsHuanle Xu, Yang Liu, Wing Cheong Lau, Rui Li. 2554-2560 [doi]
• Learning Personalized Itemset Mapping for Cross-Domain RecommendationYinan Zhang, Yong Liu, Peng Han, Chunyan Miao, LiZhen Cui, Baoli Li, Haihong Tang. 2561-2567 [doi]
• Label Distribution for Learning with Noisy LabelsYun-peng Liu, Ning Xu 0009, Yu Zhang, Xin Geng. 2568-2574 [doi]
• Intent Preference Decoupling for User Representation on Online Recommender SystemZhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen. 2575-2582 [doi]
• Beyond Network Pruning: a Joint Search-and-Training ApproachXiaotong Lu, Han Huang, Weisheng Dong, Xin Li, Guangming Shi. 2583-2590 [doi]
• Collaborative Self-Attention Network for Session-based RecommendationAnjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng. 2591-2597 [doi]
• Sinkhorn RegressionLei Luo, Jian Pei, Heng Huang. 2598-2604 [doi]
• A Bi-level Formulation for Label Noise Learning with Spectral Cluster DiscoveryYijing Luo, Bo Han, Chen Gong. 2605-2611 [doi]
• Partial Multi-Label Learning via Multi-Subspace RepresentationZiwei Li, Gengyu Lyu, Songhe Feng. 2612-2618 [doi]
• Feature Statistics Guided Efficient Filter PruningHang Li, Chen Ma, Wei Xu, Xue Liu. 2619-2625 [doi]
• On Deep Unsupervised Active LearningChangsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiao-Yu Zhang, Guoren Wang. 2626-2632 [doi]
• Mixed-Variable Bayesian OptimizationErik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause 0001. 2633-2639 [doi]
• The Importance of the Test Set Size in Quantification AssessmentAndré Gustavo Maletzke, Waqar Hassan, Denis Moreira dos Reis, Gustavo E. A. P. A. Batista. 2640-2646 [doi]
• Understanding the Power and Limitations of Teaching with Imperfect KnowledgeRati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen 0001, Adish Singla. 2647-2654 [doi]
• Self-Attentional Credit Assignment for Transfer in Reinforcement LearningJohan Ferret, Raphaël Marinier, Matthieu Geist, Olivier Pietquin. 2655-2661 [doi]
• Textual Membership QueriesJonathan Zarecki, Shaul Markovitch. 2662-2668 [doi]
• I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive RepresentationsXufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang. 2669-2675 [doi]
• Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)Masataro Asai, Christian Muise. 2676-2682 [doi]
• Optimality, Accuracy, and Efficiency of an Exact Functional TestHien H. Nguyen, Hua Zhong, Mingzhou Song 0001. 2683-2689 [doi]
• Explainable Recommendation via Interpretable Feature Mapping and Evaluation of ExplainabilityDeng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu. 2690-2696 [doi]
• SVRG for Policy Evaluation with Fewer Gradient EvaluationsZilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup. 2697-2703 [doi]
• Diffusion Variational AutoencodersLuis A. Pérez Rey, Vlado Menkovski, Jim Portegies. 2704-2710 [doi]
• Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RLYannis Flet-Berliac, Philippe Preux. 2711-2717 [doi]
• Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledgePinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao. 2718-2724 [doi]
• Accelerating Stratified Sampling SGD by Reconstructing StrataWeijie Liu, Hui Qian, Chao Zhang 0029, Zebang Shen, Jiahao Xie, Nenggan Zheng. 2725-2731 [doi]
• Internal and Contextual Attention Network for Cold-start Multi-channel Matching in RecommendationRuobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin. 2732-2738 [doi]
• KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction PredictionXuan Lin, Zhe Quan, Zhi-jie Wang, Tengfei Ma, Xiangxiang Zeng. 2739-2745 [doi]
• Toward a neuro-inspired creative decoderPayel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn, Dhruv Shah. 2746-2753 [doi]
• Inference-Masked Loss for Deep Structured Output LearningQuan Guo, Hossein Rajaby Faghihi, Yue Zhang, Andrzej Uszok, Parisa KordJamshidi. 2754-2761 [doi]
• Deep Latent Low-Rank Fusion Network for Progressive Subspace DiscoveryZhao Zhang, Jiahuan Ren, Zheng Zhang, Guangcan Liu. 2762-2768 [doi]
• General Purpose MRF Learning with Neural Network PotentialsHao Xiong, Nicholas Ruozzi. 2769-2776 [doi]
• Measuring the Discrepancy between Conditional Distributions: Methods, Properties and ApplicationsShujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe. 2777-2784 [doi]
• Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure EvolutionSankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren. 2785-2791 [doi]
• Is the Skip Connection Provable to Reform the Neural Network Loss Landscape?Lifu Wang, Bo Shen, Ning Zhao, Zhiyuan Zhang. 2792-2798 [doi]
• Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural NetworkHaowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu. 2799-2806 [doi]
• Mutual Information Estimation using LSH SamplingRyan Spring, Anshumali Shrivastava. 2807-2815 [doi]
• Reward Prediction Error as an Exploration Objective in Deep RLRiley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee. 2816-2823 [doi]
• BRPO: Batch Residual Policy OptimizationSungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed Chi, Craig Boutilier. 2824-2830 [doi]
• Communicative Representation Learning on Attributed Molecular GraphsYing Song, Shuangjia Zheng, Zhangming Niu, Zhang-Hua Fu, Yutong Lu, Yuedong Yang. 2831-2838 [doi]
• Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization ErrorTaiji Suzuki, Hiroshi Abe, Tomoya Murata, Shingo Horiuchi, Kotaro Ito, Tokuma Wachi, So Hirai, Masatoshi Yukishima, Tomoaki Nishimura. 2839-2846 [doi]
• Reinforcement Learning Framework for Deep Brain Stimulation StudyDmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov. 2847-2854 [doi]
• DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear OptimizationKentaro Kanamori, Takuya Takagi, Ken Kobayashi, Hiroki Arimura. 2855-2862 [doi]
• Constrained Policy Improvement for Efficient Reinforcement LearningElad Sarafian, Aviv Tamar, Sarit Kraus. 2863-2871 [doi]
• Adaptively Multi-Objective Adversarial Training for Dialogue GenerationXuemiao Zhang, Zhouxing Tan, Xiaoning Zhang, Yang Cao, Rui Yan. 2872-2878 [doi]
• Multi-Class Imbalanced Graph Convolutional Network LearningMin Shi, Yufei Tang, Xingquan Zhu, David Wilson, Jianxun Liu. 2879-2885 [doi]
• Learning in the Wild with Incremental Skeptical Gaussian ProcessesAndrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini. 2886-2892 [doi]
• Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence ModellingDaniel Stoller, Mi Tian 0001, Sebastian Ewert, Simon Dixon. 2893-2900 [doi]
• Independent Skill Transfer for Deep Reinforcement LearningQiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang. 2901-2907 [doi]
• Crowdsourcing with Multiple-Source Knowledge TransferGuangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi. 2908-2914 [doi]
• Class Prior Estimation in Active Positive and Unlabeled LearningLorenzo Perini, Vincent Vercruyssen, Jesse Davis. 2915-2921 [doi]
• Reducing Underflow in Mixed Precision Training by Gradient ScalingRuizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk. 2922-2928 [doi]
• Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial NetsCong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu. 2929-2935 [doi]
• Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed PayoffsBo Xue, Guanghui Wang, Yimu Wang, Lijun Zhang. 2936-2942 [doi]
• Learning From Multi-Dimensional Partial LabelsHaobo Wang, Weiwei Liu 0003, Yang Zhao, Tianlei Hu, Ke Chen 0005, Gang Chen 0001. 2943-2949 [doi]
• Unsupervised Representation Learning by Predicting Random DistancesHu Wang, Guansong Pang, Chunhua Shen, Congbo Ma. 2950-2956 [doi]
• Asymmetric Distribution Measure for Few-shot LearningWenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo. 2957-2963 [doi]
• Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive VariablesJiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, Beilun Wang. 2964-2972 [doi]
• Multi-View Attribute Graph Convolution Networks for ClusteringJiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao. 2973-2979 [doi]
• Classification with Rejection: Scaling Generative Classifiers with Supervised Deep InfomaxXin Wang, Siu-Ming Yiu. 2980-2986 [doi]
• TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical StructureFuxiang Zhang, Xin Wang, Zhao Li, Jianxin Li. 2987-2993 [doi]
• Towards Explainable Conversational RecommendationZhongxia Chen, Xiting Wang, Xing Xie 0001, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen. 2994-3000 [doi]
• A Graphical and Attentional Framework for Dual-Target Cross-Domain RecommendationFeng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng. 3001-3008 [doi]
• Discriminative Feature Selection via A Structured Sparse Subspace Learning ModuleZheng Wang 0037, Feiping Nie 0001, Lai Tian, Rong Wang, Xuelong Li. 3009-3015 [doi]
• Evaluating and Aggregating Feature-based Model ExplanationsUmang Bhatt, Adrian Weller, José M. F. Moura. 3016-3022 [doi]
• User Modeling with Click Preference and Reading Satisfaction for News RecommendationChuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang. 3023-3029 [doi]
• RDF-to-Text Generation with Graph-augmented Structural Neural EncodersHanning Gao, Lingfei Wu, Po Hu, Fangli Xu. 3030-3036 [doi]
• Hybrid Learning for Multi-agent Cooperation with Sub-optimal DemonstrationsPeixi Peng, Junliang Xing, Lili Cao. 3037-3043 [doi]
• Bayesian Optimization using Pseudo-PointsChao Qian 0001, Hang Xiong, Ke Xue. 3044-3050 [doi]
• Analysis of Q-learning with Adaptation and Momentum Restart for Gradient DescentBowen Weng, Huaqing Xiong, Yingbin Liang, Wei Zhang. 3051-3057 [doi]
• Discovering Latent Class Labels for Multi-Label LearningJun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi. 3058-3064 [doi]
• MergeNAS: Merge Operations into One for Differentiable Architecture SearchXiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun. 3065-3072 [doi]
• BaKer-Nets: Bayesian Random Kernel Mapping NetworksHui Xue, Zheng-Fan Wu. 3073-3079 [doi]
• On Metric DBSCAN with Low Doubling DimensionHu Ding, Fan Yang, Mingyue Wang. 3080-3086 [doi]
• Multi-Feedback Bandit Learning with Probabilistic ContextsLuting Yang, Jianyi Yang, Shaolei Ren. 3087-3093 [doi]
• Efficient Deep Reinforcement Learning via Adaptive Policy TransferTianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng. 3094-3100 [doi]
• Greedy Convex EnsembleThanh Tan Nguyen, Nan Ye, Peter L. Bartlett. 3101-3107 [doi]
• MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental DynamicsMohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya. 3108-3116 [doi]
• Gradient Perturbation is Underrated for Differentially Private Convex OptimizationDa Yu, Huishuai Zhang, Wei Chen 0034, Jian Yin 0001, Tie-Yan Liu. 3117-3123 [doi]
• Weakly-Supervised Multi-view Multi-instance Multi-label LearningYuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang 0001. 3124-3130 [doi]
• I²HRL: Interactive Influence-based Hierarchical Reinforcement LearningRundong Wang, Runsheng Yu, Bo An 0001, Zinovi Rabinovich. 3131-3138 [doi]
• A Dual Input-aware Factorization Machine for CTR PredictionWantong Lu, Yantao Yu, Yongzhe Chang, Zhen Wang, Chenhui Li, Bo Yuan. 3139-3145 [doi]
• Dual Policy DistillationKwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu. 3146-3152 [doi]
• Exploring Parameter Space with Structured Noise for Meta-Reinforcement LearningHui Xu, Chong Zhang, Jiaxing Wang, Deqiang Ouyang, Yu Zheng, Jie Shao. 3153-3159 [doi]
• Semi-supervised Clustering via Pairwise Constrained Optimal GraphFeiping Nie 0001, Han Zhang 0012, Rong Wang, Xuelong Li. 3160-3166 [doi]
• Generating Robust Audio Adversarial Examples with Temporal DependencyHongting Zhang, Pan Zhou, Qiben Yan, Xiao-Yang Liu. 3167-3173 [doi]
• BERT-INT: A BERT-based Interaction Model For Knowledge Graph AlignmentXiaobin Tang, Jing Zhang 0001, Bo Chen, Yang Yang 0009, Hong Chen 0001, Cuiping Li. 3174-3180 [doi]
• Self-adaptive Re-weighted Adversarial Domain AdaptationShanshan Wang, Lei Zhang. 3181-3187 [doi]
• One-Shot Neural Architecture Search via Novelty Driven SamplingMiao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven W. Su. 3188-3194 [doi]
• Split to Be Slim: An Overlooked Redundancy in Vanilla ConvolutionQiulin Zhang, Zhuqing Jiang, Qishuo Lu, Jia'nan Han, Zhengxin Zeng, Shang-hua Gao, Aidong Men. 3195-3201 [doi]
• Joint Multi-view 2D Convolutional Neural Networks for 3D Object ClassificationJinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han. 3202-3208 [doi]
• Trajectory Similarity Learning with Auxiliary Supervision and Optimal MatchingHanyuan Zhang, Xinyu Zhang, Qize Jiang, Baihua Zheng, Zhenbang Sun, Weiwei Sun, Changhu Wang. 3209-3215 [doi]
• Discovering Subsequence Patterns for Next POI RecommendationKangzhi Zhao, Yong Zhang 0002, Hongzhi Yin, Jin Wang 0007, Kai Zheng, Xiaofang Zhou 0001, Chunxiao Xing. 3216-3222 [doi]
• Label Enhancement for Label Distribution Learning via Prior KnowledgeYongbiao Gao, Yu Zhang, Xin Geng. 3223-3229 [doi]
• CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering NetworkJie Wen, Zheng Zhang, Yong Xu 0001, Bob Zhang, Lunke Fei, Guo-Sen Xie. 3230-3236 [doi]
• P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty DetectionZhiwei Zhang, Shifeng Chen, Lei Sun. 3237-3243 [doi]
• EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering ServicesJiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy 0001. 3244-3250 [doi]
• Multi-Scale Group Transformer for Long Sequence Modeling in Speech SeparationYucheng Zhao, Chong Luo, Zheng-Jun Zha, Wenjun Zeng. 3251-3257 [doi]
• pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex OptimizationBeitong Zhou, Jun Liu 0015, Weigao Sun, Ruijuan Chen, Claire Tomlin, Ye Yuan 0002. 3258-3266 [doi]
• Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural NetworksJinghui Chen, Dongruo Zhou, Yiqi Tang, Ziyan Yang, Yuan Cao, Quanquan Gu. 3267-3275 [doi]
• Tight Convergence Rate of Gradient Descent for Eigenvalue ComputationQinghua Ding, Kaiwen Zhou, James Cheng. 3276-3282 [doi]
• Smart Contract Vulnerability Detection using Graph Neural NetworkYuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He. 3283-3290 [doi]
• Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image SegmentationDanbing Zou, Qikui Zhu, Pingkun Yan. 3291-3298 [doi]
• Neighbor Combinatorial Attention for Critical Structure MiningTanli Zuo, Yukun Qiu, Weishi Zheng. 3299-3305 [doi]
• Inferring Degrees from Incomplete Networks and Nonlinear DynamicsChunheng Jiang, Jianxi Gao, Malik Magdon-Ismail. 3307-3313 [doi]
• DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow SchedulingPenghao Sun, Zehua Guo 0001, Junchao Wang, Junfei Li, Julong Lan, Yuxiang Hu. 3314-3320 [doi]
• Adversarial Mutual Information Learning for Network EmbeddingDongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang 0002, Yuxiao Huang, Philip S. Yu. 3321-3327 [doi]
• Binary Classification from Positive Data with Skewed ConfidenceKazuhiko Shinoda, Hirotaka Kaji, Masashi Sugiyama. 3328-3334 [doi]
• A Label Attention Model for ICD Coding from Clinical TextThanh Vu, Dat Quoc Nguyen, Anthony Nguyen. 3335-3341 [doi]
• Predicting Landslides Using Locally Aligned Convolutional Neural NetworksAinaz Hajimoradlou, Gioachino Roberti, David Poole 0001. 3342-3348 [doi]
• Semi-Markov Reinforcement Learning for Stochastic Resource CollectionSebastian Schmoll, Matthias Schubert. 3349-3355 [doi]
• Inverse Reinforcement Learning for Team Sports: Valuing Actions and PlayersYudong Luo, Oliver Schulte, Pascal Poupart. 3356-3363 [doi]
• C3MM: Clique-Closure based Hyperlink PredictionGovind Sharma 0001, Prasanna Patil, M. Narasimha Murty. 3364-3370 [doi]
• Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement LearningRuimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu. 3371-3377 [doi]
• CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep LearningYuanrui Dong, Peng Zhao 0001, Hanqiao Yu, Cong Zhao, Shusen Yang. 3378-3384 [doi]
• HID: Hierarchical Multiscale Representation Learning for Information DiffusionHonglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia. 3385-3391 [doi]
• The Graph-based Mutual Attentive Network for Automatic DiagnosisQuan Yuan, Jun Chen, Chao Lu, Haifeng Huang. 3393-3399 [doi]
• Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale TripsKe Li, Lisi Chen, Shuo Shang. 3400-3406 [doi]
• Automatic Emergency Diagnosis with Knowledge-Based Tree DecodingKe Wang, Xuyan Chen, Ning Chen 0002, Ting Chen. 3407-3414 [doi]
• Exploiting Mutual Information for Substructure-aware Graph Representation LearningPengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua. 3415-3421 [doi]
• Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded SystemsSeyed-Iman Mirzadeh, Hassan Ghasemzadeh. 3422-3429 [doi]
• A Two-Stage Matheuristic Algorithm for Classical Inventory Routing ProblemZhouxing Su, Shihao Huang, ChunGen Li, Zhipeng Lü. 3430-3436 [doi]
• Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online AdvertisingXiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai. 3437-3443 [doi]
• FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake FacesRun Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang, Yang Liu. 3444-3451 [doi]
• Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor NetworkHuiyuan Chen, Jing Li. 3452-3458 [doi]
• Why We Go Where We Go: Profiling User Decisions on Choosing POIsRenjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma 0001, Hui Xiong 0001. 3459-3465 [doi]
• MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure ReconstructingRong-Cheng Tu, Xianling Mao, Wei Wei 0002. 3466-3472 [doi]
• A Game Theoretic Approach For Core ResilienceSourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh. 3473-3479 [doi]
• Differential Privacy for Stackelberg GamesFerdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck. 3480-3486 [doi]
• HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural NetworkRui Liu, Huilin Peng, Yong Chen, Dell Zhang. 3487-3493 [doi]
• Modeling Perception Errors towards Robust Decision Making in Autonomous VehiclesAndrea Piazzoni, Jim Cherian, Martin Slavík, Justin Dauwels. 3494-3500 [doi]
• BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case RetrievalYunqiu Shao, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Ken Satoh, Min Zhang, Shaoping Ma. 3501-3507 [doi]
• Auxiliary Template-Enhanced Generative Compatibility ModelingJinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma 0001. 3508-3514 [doi]
• Community-Centric Graph Convolutional Network for Unsupervised Community DetectionDongxiao He, Yue Song, Di Jin, Zhiyong Feng 0002, Binbin Zhang, Zhizhi Yu, Weixiong Zhang. 3515-3521 [doi]
• An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click CalibrationYumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He, Weipeng Yan. 3522-3528 [doi]
• Learning Model with Error - Exposing the Hidden Model of BAYHENNHarry W. H. Wong, Jack P. K. Ma, Donald P. H. Wong, Lucien K. L. Ng, Sherman S. M. Chow. 3529-3535 [doi]
• Learning the Compositional Visual Coherence for Complementary RecommendationsZhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei. 3536-3543 [doi]
• Efficient Community Search over Large Directed Graph: An Augmented Index-based ApproachYankai Chen, Jie Zhang, Yixiang Fang, Xin Cao 0001, Irwin King. 3544-3550 [doi]
• An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-insLu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner. 3551-3557 [doi]
• Pivot-based Maximal Biclique EnumerationAman Abidi, Rui Zhou, Lu Chen, Chengfei Liu. 3558-3564 [doi]
• CooBa: Cross-project Bug Localization via Adversarial Transfer LearningZiye Zhu, Yun Li 0009, Hanghang Tong, Yu Wang 0072. 3565-3571 [doi]
• Hierarchical Linear Disentanglement of Data-Driven Conceptual SpacesRana Alshaikh, Zied Bouraoui, Steven Schockaert. 3573-3579 [doi]
• How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in ContextQian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang. 3580-3586 [doi]
• Lexical-Constraint-Aware Neural Machine Translation via Data AugmentationGuanhua Chen, Yun Chen 0007, Yong Wang, Victor O. K. Li. 3587-3593 [doi]
• Attention-based Multi-level Feature Fusion for Named Entity RecognitionZhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang. 3594-3600 [doi]
• Exemplar Guided Neural Dialogue GenerationHengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin. 3601-3607 [doi]
• Knowledge Enhanced Event Causality Identification with Mention Masking GeneralizationsJian Liu, Yubo Chen 0001, Jun Zhao 0001. 3608-3614 [doi]
• Two-Phase Hypergraph Based Reasoning with Dynamic Relations for Multi-Hop KBQAJiale Han, Bo Cheng, Xu Wang. 3615-3621 [doi]
• LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical ReasoningJian Liu, Leyang Cui, Hanmeng Liu, Dandan Huang, Yile Wang, Yue Zhang. 3622-3628 [doi]
• Guided Generation of Cause and EffectZhongyang Li, Xiao Ding, Ting Liu 0001, J. Edward Hu, Benjamin Van Durme. 3629-3636 [doi]
• EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction AwarenessShifeng Li, Shi Feng, Daling Wang, Kaisong Song, Yifei Zhang 0003, Weichao Wang. 3637-3643 [doi]
• RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL TaskYu Zeng, Yan Gao 0002, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang. 3644-3650 [doi]
• Learning Latent Forests for Medical Relation ExtractionZhijiang Guo, Guoshun Nan, Wei Lu 0011, Shay B. Cohen. 3651-3657 [doi]
• Global Structure and Local Semantics-Preserved Embeddings for Entity AlignmentHao Nie, Xianpei Han, Le Sun, Chi-Man Wong, Qiang Chen, Suhui Wu, Wei Zhang. 3658-3664 [doi]
• Hierarchical Matching Network for Heterogeneous Entity ResolutionCheng Fu, Xianpei Han, Jiaming He, Le Sun. 3665-3671 [doi]
• Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language ModelJuntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan 0001. 3672-3678 [doi]
• Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learningYuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Wei Wu. 3679-3686 [doi]
• Generating Reasonable Legal Text through the Combination of Language Modeling and Question AnsweringWeijing Huang, Xianfeng Liao, Zhiqiang Xie, Jiang Qian, BoJin Zhuang, Shaojun Wang, Jing Xiao. 3687-3693 [doi]
• Modeling Voting for System Combination in Machine TranslationXuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu. 3694-3701 [doi]
• Unsupervised Multilingual Alignment using Wasserstein BarycenterXin-lian, Kshitij Jain, Jakub Truszkowski, Pascal Poupart, Yaoliang Yu. 3702-3708 [doi]
• A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech RecognitionConghui Tan, Di Jiang, Jinhua Peng, Xueyang Wu 0001, Qian Xu, Qiang Yang. 3709-3715 [doi]
• Neural Abstractive Summarization with Structural AttentionTanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty 0002. 3716-3722 [doi]
• Domain Adaptation for Semantic ParsingZechang Li, Yuxuan Lai, Yansong Feng, Dongyan Zhao 0001. 3723-3729 [doi]
• Evaluating Natural Language Generation via Unbalanced Optimal TransportYimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng. 3730-3736 [doi]
• Modeling Topical Relevance for Multi-Turn Dialogue GenerationHainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin. 3737-3743 [doi]
• Robust Front-End for Multi-Channel ASR using Flow-Based Density EstimationHyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Hyung Yong Kim, Nam Soo Kim. 3744-3750 [doi]
• Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge BaseYongrui Chen, Huiying Li, Yuncheng Hua, Guilin Qi. 3751-3758 [doi]
• Towards Fully 8-bit Integer Inference for the Transformer ModelYe-Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu. 3759-3765 [doi]
• TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic FactSixing Wu, Ying Li 0015, Dawei Zhang, Yang Zhou, Zhonghai Wu. 3766-3772 [doi]
• Infobox-to-text Generation with Tree-like Planning based Attention NetworkYang Bai, Ziran Li, Ning Ding, Ying Shen, Hai-Tao Zheng. 3773-3779 [doi]
• Triple-to-Text Generation with an Anchor-to-Prototype FrameworkZiran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng, Ying Shen. 3780-3786 [doi]
• Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation ExtractionJie Liu, Shaowei Chen, Bingquan Wang, Jiaxin Zhang, Na Li, Tong Xu. 3787-3793 [doi]
• An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading ComprehensionXin Liu, Kai Liu 0023, Xiang Li, Jinsong Su, Yubin Ge, Bin Wang, Jiebo Luo. 3794-3800 [doi]
• Text Style Transfer via Learning Style Instance Supported Latent SpaceXiaoyuan Yi, Zhenghao Liu, Wenhao Li, Maosong Sun. 3801-3807 [doi]
• Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic RelabelingHaoyu Zhang, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Fei Huang, Ji Wang. 3808-3815 [doi]
• Joint Time-Frequency and Time Domain Learning for Speech EnhancementChuanxin Tang, Chong Luo, Zhiyuan Zhao, Wenxuan Xie, Wenjun Zeng. 3816-3822 [doi]
• Answer Generation through Unified Memories over Multiple PassagesMakoto Nakatsuji, Sohei Okui. 3823-3829 [doi]
• On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation ClassificationXin Liu 0039, Jiefu Ou, Yangqiu Song, Xin Jiang. 3830-3836 [doi]
• MuLaN: Multilingual Label propagatioN for Word Sense DisambiguationEdoardo Barba, Luigi Procopio, Niccolò Campolungo, Tommaso Pasini, Roberto Navigli. 3837-3844 [doi]
• Dialogue State Induction Using Neural Latent Variable ModelsQingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, Yue Zhang 0004. 3845-3852 [doi]
• CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLPLibo Qin, Minheng Ni, Yue Zhang 0004, Wanxiang Che. 3853-3860 [doi]
• Task-Level Curriculum Learning for Non-Autoregressive Neural Machine TranslationJinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu. 3861-3867 [doi]
• End-to-End Transition-Based Online Dialogue DisentanglementHui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu. 3868-3874 [doi]
• Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student EssaysWei Song, Ziyao Song, Lizhen Liu, Ruiji Fu. 3875-3881 [doi]
• Transformers as Soft Reasoners over LanguagePeter Clark, Oyvind Tafjord, Kyle Richardson. 3882-3890 [doi]
• Neural Machine Translation with Error CorrectionKaitao Song, Xu Tan, Jianfeng Lu 0003. 3891-3897 [doi]
• Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial TrainingHaochen Shi, Siliang Tang, Xiaotao Gu, Bo Chen, Zhigang Chen, Jian Shao, Xiang Ren. 3898-3904 [doi]
• Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional NetworkZeyun Tang, Yongliang Shen, Xinyin Ma, Wei Xu, Jiale Yu, Weiming Lu. 3905-3911 [doi]
• Gaussian Embedding of Linked Documents from a Pretrained Semantic SpaceAntoine Gourru, Julien Velcin, Julien Jacques. 3912-3918 [doi]
• Better AMR-To-Text Generation with Graph Structure ReconstructionTianming Wang, Xiaojun Wan 0001, Shaowei Yao. 3919-3925 [doi]
• UniTrans : Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled DataQianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jianguang Lou. 3926-3932 [doi]
• Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware GatingHongfei Xu, Deyi Xiong, Josef van Genabith, Qiuhui Liu. 3933-3940 [doi]
• Enhancing Dialog Coherence with Event Graph Grounded Content PlanningJun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu 0003, Wanxiang Che. 3941-3947 [doi]
• Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation ExtractionTianyang Zhao, Zhao Yan, Yunbo Cao, Zhoujun Li. 3948-3954 [doi]
• Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase GenerationMingtong Liu, Erguang Yang, Deyi Xiong, Yujie Zhang, Chen Sheng, Changjian Hu, Jinan Xu, Yufeng Chen. 3955-3961 [doi]
• A Structured Latent Variable Recurrent Network With Stochastic Attention For Generating Weibo CommentsShijie Yang, Liang Li 0003, Shuhui Wang, Weigang Zhang, Qingming Huang, Qi Tian 0001. 3962-3968 [doi]
• Dataless Short Text Classification Based on Biterm Topic Model and Word EmbeddingsYi Yang, Hongan Wang, Jiaqi Zhu, Yunkun Wu, Kailong Jiang, Wenli Guo, Wandong Shi. 3969-3975 [doi]
• Leveraging Document-Level Label Consistency for Named Entity RecognitionTao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang. 3976-3982 [doi]
• Towards Making the Most of Context in Neural Machine TranslationZaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch. 3983-3989 [doi]
• Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic EmbeddingChengkun Zhang, Junbin Gao. 3990-3996 [doi]
• ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language GenerationDongling Xiao, Han Zhang, Yu-Kun Li, Yu Sun, Hao Tian, Hua Wu 0003, Haifeng Wang. 3997-4003 [doi]
• TransOMCS: From Linguistic Graphs to Commonsense Knowledge