Table of Contents

• Balancing Spreads of Influence in a Social NetworkRuben Becker, Federico Corò, Gianlorenzo D'Angelo, Hugo Gilbert. 3-10 [doi]
• MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive SummarizationYue Cao, Xiaojun Wan 0001, Jinge Yao, Dian Yu. 11-18 [doi]
• Efficient Heterogeneous Collaborative Filtering without Negative Sampling for RecommendationChong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma. 19-26 [doi]
• Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network ApproachLei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang. 27-34 [doi]
• Question-Driven Purchasing Propensity Analysis for RecommendationLong Chen 0007, Ziyu Guan, Qibin Xu, Qiong Zhang, Huan Sun, Guangyue Lu, Deng Cai. 35-42 [doi]
• Gradient Method for Continuous Influence Maximization with Budget-Saving ConsiderationsWei Chen, Weizhong Zhang, Haoyu Zhao. 43-50 [doi]
• Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product SearchXinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jiu Liu, James Cheng. 51-58 [doi]
• Modeling Fluency and Faithfulness for Diverse Neural Machine TranslationYang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang 0009, Zhengxin Yang, Dong Yu 0003. 59-66 [doi]
• Leveraging Title-Abstract Attentive Semantics for Paper RecommendationGuibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He. 67-74 [doi]
• Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled DataJun Guo, Heng Chang, Wenwu Zhu 0001. 75-82 [doi]
• An Attentional Recurrent Neural Network for Personalized Next Location RecommendationQing Guo, Zhu Sun, Jie Zhang, Yin Leng Theng. 83-90 [doi]
• Re-Attention for Visual Question AnsweringWenya Guo, Ying Zhang, Xiaoping Wu, Jufeng Yang, Xiangrui Cai, Xiaojie Yuan. 91-98 [doi]
• Semi-Supervised Multi-Modal Learning with Balanced Spectral DecompositionPeng Hu, Hongyuan Zhu, Xi Peng 0001, Jie Lin. 99-106 [doi]
• MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community DetectionLing Huang, Hong-Yang Chao, Guangqiang Xie. 107-114 [doi]
• Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural Machine TranslationBaijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, Weihua Luo. 115-122 [doi]
• Functionality Discovery and Prediction of Physical ObjectsLei Ji, Botian Shi, Xianglin Guo, Xilin Chen. 123-130 [doi]
• True Nonlinear Dynamics from Incomplete NetworksChunheng Jiang, Jianxi Gao, Malik Magdon-Ismail. 131-138 [doi]
• Understanding and Improving Proximity Graph Based Maximum Inner Product SearchJie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang. 139-146 [doi]
• Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention NetworkXiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan, Yanbing Liu. 147-155 [doi]
• Deep Match to Rank Model for Personalized Click-Through Rate PredictionZequn Lyu, Yu Dong, Chengfu Huo, Weijun Ren. 156-163 [doi]
• Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal FusionSijie Mai, Haifeng Hu 0001, Songlong Xing. 164-172 [doi]
• A Variational Point Process Model for Social Event SequencesZhen Pan, Zhenya Huang, Defu Lian, Enhong Chen. 173-180 [doi]
• Fair Updates in Two-Sided Market Platforms: On Incrementally Updating RecommendationsGourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi. 181-188 [doi]
• Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network DataDilruk Perera, Roger Zimmermann. 189-197 [doi]
• Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine TranslationChenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou. 198-205 [doi]
• PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media PlatformsTiancheng Shen, Jia Jia 0001, Yan Li, Yihui Ma, Yaohua Bu, Hanjie Wang, Bo Chen, Tat-Seng Chua, Wendy Hall. 206-213 [doi]
• Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest RecommendationKe Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin. 214-221 [doi]
• Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood AggregationZequn Sun, Chengming Wang, Wei Hu 0007, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu. 222-229 [doi]
• Learning with Unsure ResponsesKunihiro Takeoka, Yuyang Dong, Masafumi Oyamada. 230-237 [doi]
• Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation LearningHaiwen Wang, Ruijie Wang, Chuan Wen, Shuhao Li, Yuting Jia, Weinan Zhang 0001, Xinbing Wang. 238-245 [doi]
• Social Influence Does Matter: User Action Prediction for In-Feed AdvertisingHongyang Wang, Qingfei Meng, Ju Fan, Yuchen Li, Laizhong Cui, Xiaoman Zhao, Chong Peng, Gong Chen, Xiaoyong Du 0001. 246-253 [doi]
• Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal InteractionHaozhe Wu, Zhiyuan Hu, Jia Jia 0001, Yaohua Bu, Xiangnan He 0001, Tat-Seng Chua. 254-261 [doi]
• Who Likes What? - SplitLBI in Exploring Preferential Diversity of RatingsQianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao 0011. 262-269 [doi]
• Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start RecommendationYang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Jiande Sun. 270-278 [doi]
• Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event LocalizationHanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan. 279-286 [doi]
• Learning to Match on Graph for Fashion Compatibility ModelingXun Yang, Xiaoyu Du, Meng Wang. 287-294 [doi]
• D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social NetworksHeng Zhang, Xiaofei Wang, Jiawen Chen, Chenyang Wang, Jianxin Li. 295-302 [doi]
• An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated VideosSicheng Zhao, Yunsheng Ma, Yang Gu, Jufeng Yang, Tengfei Xing, Pengfei Xu 0013, Runbo Hu, Hua Chai, Kurt Keutzer. 303-311 [doi]
• Multi-Channel Reverse Dictionary ModelLei Zheng, Fanchao Qi, Zhiyuan Liu 0001, Yasheng Wang, Qun Liu, Maosong Sun. 312-319 [doi]
• Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional DataMengyu Zhou, Wang Tao, Pengxin Ji, Han Shi, Dongmei Zhang. 320-328 [doi]
• A Recurrent Model for Collective Entity Linking with Adaptive FeaturesXiaoling Zhou, Yukai Miao, Wei Wang, Jianbin Qin. 329-336 [doi]
• FairyTED: A Fair Rating Predictor for TED Talk DataRupam Acharyya, Shouman Das, Ankani Chattoraj, Md. Iftekhar Tanveer. 338-345 [doi]
• Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and AssessmentMansi Agarwal, Maitree Leekha, Ramit Sawhney, Rajiv Ratn Shah. 346-353 [doi]
• Unsupervised Detection of Sub-Events in Large Scale DisastersChidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes. 354-361 [doi]
• Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud DetectionDawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang 0001. 362-369 [doi]
• Tracking Disaster Footprints with Social Streaming DataLu Cheng, Jundong Li, K. Selçuk Candan, Huan Liu. 370-377 [doi]
• Detecting and Tracking Communal Bird Roosts in Weather Radar DataZezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler. 378-385 [doi]
• Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical PerspectivesShivang Chopra, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah. 386-393 [doi]
• Inferring Nighttime Satellite Imagery from Human MobilityBrian Dickinson, Gourab Ghoshal, Xerxes Dotiwalla, Adam Sadilek, Henry A. Kautz. 394-402 [doi]
• A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early WarningKevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, Véronique Masson, Manish Parashar, Ivan Rodero, Alexandre Termier. 403-411 [doi]
• Faking Fairness via Stealthily Biased SamplingKazuto Fukuchi, Satoshi Hara 0001, Takanori Maehara. 412-419 [doi]
• Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral SignalsMononito Goswami, Lujie Chen, Artur Dubrawski. 420-427 [doi]
• Lightweight and Robust Representation of Economic Scales from Satellite ImagerySungwon Han, DongHyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha. 428-436 [doi]
• The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer ResearchJohn Kalantari, Heidi Nelson, Nicholas Chia. 437-445 [doi]
• Linguistic Fingerprints of Internet Censorship: The Case of Sina WeiboKei Yin Ng, Anna Feldman, Jing Peng. 446-453 [doi]
• Voice for the Voiceless: Active Sampling to Detect Comments Supporting the RohingyasShriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell. 454-462 [doi]
• Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with AutismPrashant Pandey, Prathosh AP, Manu Kohli, Josh Pritchard. 463-470 [doi]
• The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual ResponseChris Piech, Ali Malik, Laura M. Scott, Robert T. Chang, Charles Lin. 471-479 [doi]
• Automatically Neutralizing Subjective Bias in TextReid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang. 480-489 [doi]
• Capturing the Style of Fake NewsPiotr Przybyla. 490-497 [doi]
• On Identifying Hashtags in Disaster Twitter DataJishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea. 498-506 [doi]
• Neural Approximate Dynamic Programming for On-Demand Ride-PoolingSanket Shah, Meghna Lowalekar, Pradeep Varakantham. 507-515 [doi]
• Weak Supervision for Fake News Detection via Reinforcement LearningYaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao. 516-523 [doi]
• Protecting Geolocation Privacy of Photo CollectionsJinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik. 524-531 [doi]
• Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster ManagementWenlin Yao, Cheng Zhang, Shiva Saravanan, Ruihong Huang, Ali Mostafavi. 532-539 [doi]
• Interactive Learning with Proactive Cognition Enhancement for Crowd WorkersJing Zhang 0015, Huihui Wang, Shunmei Meng, Victor S. Sheng. 540-547 [doi]
• Rumor Detection on Social Media with Bi-Directional Graph Convolutional NetworksTian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, JunZhou Huang. 549-556 [doi]
• Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial RecruitmentSiddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun. 557-564 [doi]
• TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational ResourcesSahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor. 565-573 [doi]
• Real-Time Route Search by LocationsLisi Chen, Shuo Shang, Tao Guo. 574-581 [doi]
• Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road NetworksLisi Chen, Shuo Shang, Bin Yao 0002, Jing Li. 582-589 [doi]
• Adaptive Greedy versus Non-Adaptive Greedy for Influence MaximizationWei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao. 590-597 [doi]
• DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical LiteratureChaoran Cheng, Fei Tan, Zhi Wei. 598-605 [doi]
• Learning the Graphical Structure of Electronic Health Records with Graph Convolutional TransformerEdward Choi, Zhen Xu, Yujia Li, Michael Dusenberry, Gerardo Flores, Emily Xue, Andrew M. Dai. 606-613 [doi]
• CONAN: Complementary Pattern Augmentation for Rare Disease DetectionLimeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao. 614-621 [doi]
• Differentially Private and Fair Classification via Calibrated Functional MechanismJiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan. 622-629 [doi]
• Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual MethodsFerdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck. 630-637 [doi]
• CORE: Automatic Molecule Optimization Using Copy & Refine StrategyTianfan Fu, Cao Xiao, Jimeng Sun. 638-645 [doi]
• GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke RenderingYiming Gao 0006, Jiangqin Wu. 646-653 [doi]
• Predictive Student Modeling in Educational Games with Multi-Task LearningMichael Geden, Andrew Emerson, Jonathan P. Rowe, Roger Azevedo, James C. Lester. 654-661 [doi]
• Enhancing Personalized Trip Recommendation with Attractive RoutesJiqing Gu, Chao Song, Wenjun Jiang, Xiaomin Wang, Ming Liu. 662-669 [doi]
• Graduate Employment Prediction with BiasTeng Guo, Feng Xia 0001, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang. 670-677 [doi]
• Multi-Scale Anomaly Detection on Attributed NetworksLeonardo Gutiérrez-Gómez, Alexandre Bovet, Jean-Charles Delvenne. 678-685 [doi]
• Accurate Structured-Text Spotting for Arithmetical Exercise CorrectionYiqing Hu, Yan Zheng, Hao Liu, Deqiang Jiang, Yinsong Liu, Bo Ren. 686-693 [doi]
• Pairwise Learning with Differential Privacy GuaranteesMengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu 0001, Aidong Zhang. 694-701 [doi]
• CASTER: Predicting Drug Interactions with Chemical Substructure RepresentationKexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun. 702-709 [doi]
• RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement LearningNan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang. 710-718 [doi]
• A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies ReconstructionZiqi Ke, Haris Vikalo. 719-726 [doi]
• Generating Realistic Stock Market Order StreamsJunyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman. 727-734 [doi]
• SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World VerificationSongxuan Lai, Lianwen Jin, Luojun Lin, Yecheng Zhu, Huiyun Mao. 735-742 [doi]
• DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital WardsDingwen Li, Patrick G. Lyons, Chenyang Lu 0001, Marin Kollef. 743-750 [doi]
• Region Focus Network for Joint Optic Disc and Cup SegmentationGe Li, Changsheng Li, Chan Zeng, Peng Gao, Guotong Xie. 751-758 [doi]
• Pose-Assisted Multi-Camera Collaboration for Active Object TrackingJing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang 0001. 759-766 [doi]
• Robust Low-Rank Discovery of Data-Driven Partial Differential EquationsJun Li, Gan Sun, Guoshuai Zhao, Li-Wei H. Lehman. 767-774 [doi]
• Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge DistillationKang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng. 775-783 [doi]
• Privacy-Preserving Gradient Boosting Decision TreesQinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He. 784-791 [doi]
• MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement LearningWentian Li, Xidong Feng, Haotian An, Xiang Yao Ng, Yu-Jin Zhang. 792-799 [doi]
• PSENet: Psoriasis Severity Evaluation NetworkYi Li, Zhe Wu, Shuang Zhao, Xian Wu, Yehong Kuang, Yangtian Yan, Shen Ge, Kai Wang, Wei Fan, Xiang Chen, Yong Wang. 800-807 [doi]
• Learning Geo-Contextual Embeddings for Commuting Flow PredictionZhicheng Liu, Fabio Miranda 0001, Weiting Xiong, Junyan Yang, Qiao Wang, Cláudio T. Silva. 808-816 [doi]
• Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal EnrichmentsLyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang 0007. 817-824 [doi]
• AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and RecalibrationLiantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma. 825-832 [doi]
• ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare ContextLiantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao. 833-840 [doi]
• Bursting the Filter Bubble: Fairness-Aware Network Link PredictionFarzan Masrour, Tyler Wilson, Heng Yan, Pang-Ning Tan, Abdol-Hossein Esfahanian. 841-848 [doi]
• Gait Recognition for Co-Existing Multiple People Using Millimeter Wave SensingZhen Meng, Song Fu, Jie Yan, Hongyuan Liang, Anfu Zhou, Shilin Zhu, Huadong Ma, Jianhua Liu, Ning Yang. 849-856 [doi]
• Generalizable Resource Allocation in Stream Processing via Deep Reinforcement LearningXiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu. 857-864 [doi]
• ActiveThief: Model Extraction Using Active Learning and Unannotated Public DataSoham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy. 865-872 [doi]
• Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like MoleculesYashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U. Deva Priyakumar. 873-880 [doi]
• FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American EnglishAnthony Rios. 881-889 [doi]
• Learning to Generate Maps from TrajectoriesSijie Ruan, Cheng Long, Jie Bao 0003, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng 0004. 890-897 [doi]
• Spatial Classification with Limited Observations Based on Physics-Aware Structural ConstraintArpan Man Sainju, Wenchong He, Zhe Jiang 0001, Da Yan 0001. 898-905 [doi]
• Effective Decoding in Graph Auto-Encoder Using Triadic ClosureHan Shi, Haozheng Fan, James T. Kwok. 906-913 [doi]
• Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data ForecastingChao Song, Youfang Lin, Shengnan Guo, Huaiyu Wan. 914-921 [doi]
• Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy ManagementJianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu. 922-929 [doi]
• DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time SeriesQingxiong Tan, Mang Ye, Baoyao Yang, Siqi Liu, Andy Jinhua Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, PongChi Yuen. 930-937 [doi]
• Finding Minimum-Weight Link-Disjoint Paths with a Few Common NodesBinglin Tao, Mingyu Xiao, Jingyang Zhao. 938-945 [doi]
• Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement LearningLiang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik. 946-953 [doi]
• Robust Adversarial Objects against Deep Learning ModelsTzungyu Tsai, Kaichen Yang, Tsung-Yi Ho, Yier Jin. 954-962 [doi]
• OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory ForecastingDing Wang, Boyang Liu, Pang-Ning Tan, Lifeng Luo. 963-970 [doi]
• Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning FrameworkHeyuan Wang, Tengjiao Wang, Yi Li. 971-978 [doi]
• Graph-Driven Generative Models for Heterogeneous Multi-Task LearningWenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang 0002, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin. 979-988 [doi]
• Topic Enhanced Sentiment Spreading Model in Social Networks Considering User InterestXiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang. 989-996 [doi]
• HDK: Toward High-Performance Deep-Learning-Based Kirchhoff AnalysisXinying Wang, Olamide Timothy Tawose, Feng Yan 0001, Dongfang Zhao 0001. 997-1004 [doi]
• Actor Critic Deep Reinforcement Learning for Neural Malware ControlYu Wang, Jack W. Stokes, Mady Marinescu. 1005-1012 [doi]
• Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood EmbeddingZhecheng Wang, Haoyuan Li, Ram Rajagopal. 1013-1020 [doi]
• Hiding in Multilayer NetworksMarcin Waniek, Tomasz P. Michalak, Talal Rahwan. 1021-1028 [doi]
• A Deep Neural Network Model of Particle Thermal Radiation in Packed BedHao Wu, Shuang Hao. 1029-1036 [doi]
• DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction Using Aerial Images and TrajectoriesHao Wu 0011, Hanyuan Zhang, Xinyu Zhang, Weiwei Sun, Baihua Zheng, Yuning Jiang. 1037-1045 [doi]
• Accelerating and Improving AlphaZero Using Population Based TrainingTi-Rong Wu, Ting-Han Wei, I-Chen Wu. 1046-1053 [doi]
• Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer DetectionYongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen. 1054-1061 [doi]
• Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic DiagnosisYuan Xia, Jingbo Zhou, Zhenhui Shi, Chao Lu, Haifeng Huang. 1062-1069 [doi]
• Generate (Non-Software) Bugs to Fool ClassifiersHiromu Yakura, Youhei Akimoto, Jun Sakuma. 1070-1078 [doi]
• Fairness-Aware Demand Prediction for New Mobilityan Yan, Bill Howe. 1079-1087 [doi]
• Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical WorldKaichen Yang, Tzungyu Tsai, Honggang Yu, Tsung-Yi Ho, Yier Jin. 1088-1095 [doi]
• Scalable and Generalizable Social Bot Detection through Data SelectionKai-Cheng Yang, Onur Varol, Pik-Mai Hui, Filippo Menczer. 1096-1103 [doi]
• Instance-Wise Dynamic Sensor Selection for Human Activity RecognitionXiaodong Yang 0005, Yiqiang Chen, Hanchao Yu, Yingwei Zhang, Wang Lu, Ruizhe Sun. 1104-1111 [doi]
• Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction StatesYunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li. 1112-1119 [doi]
• Attention Based Data Hiding with Generative Adversarial NetworksChong Yu. 1120-1128 [doi]
• AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder NetworksHaomin Yu, Qingyong Li, Yangli-ao Geng, Yingjun Zhang, Zhi Wei. 1129-1136 [doi]
• Towards Hands-Free Visual Dialog Interactive RecommendationTong Yu 0001, Yilin Shen, Hongxia Jin. 1137-1144 [doi]
• Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity DetectionZeping Yu, Rui Cao, Qiyi Tang 0003, Sen Nie, JunZhou Huang, Shi Wu. 1145-1152 [doi]
• MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal ControlXinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, Zhenhui Li. 1153-1160 [doi]
• Geometry-Constrained Car Recognition Using a 3D Perspective NetworkRui Zeng, ZongYuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes. 1161-1168 [doi]
• Generating Adversarial Examples for Holding Robustness of Source Code Processing ModelsHuangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin. 1169-1176 [doi]
• Spatio-Temporal Graph Structure Learning for Traffic ForecastingQi Zhang, Jianlong Chang, Gaofeng Meng, Shiming Xiang, Chunhong Pan. 1177-1185 [doi]
• Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability PredictionWeijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong. 1186-1193 [doi]
• Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading PlatformsXitong Zhang, He Zhu, Jiayu Zhou. 1194-1201 [doi]
• A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous DrivingYifan Zhang, Jinghuai Zhang, Jindi Zhang, Jianping Wang 0001, Kejie Lu, Jeff Hong. 1202-1209 [doi]
• Dynamic Malware Analysis with Feature Engineering and Feature LearningZhaoqi Zhang, Panpan Qi, Wei Wang. 1210-1217 [doi]
• OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion EstimationChengqian Zhao, Cheng Feng, Dengwang Li, Shuo Li 0001. 1218-1225 [doi]
• MaskGEC: Improving Neural Grammatical Error Correction via Dynamic MaskingZewei Zhao, Houfeng Wang. 1226-1233 [doi]
• GMAN: A Graph Multi-Attention Network for Traffic PredictionChuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi 0001. 1234-1241 [doi]
• Index Tracking with Cardinality Constraints: A Stochastic Neural Networks ApproachYu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang. 1242-1249 [doi]
• Iteratively Questioning and Answering for Interpretable Legal Judgment PredictionHaoxi Zhong, Yuzhong Wang, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu 0001, Maosong Sun. 1250-1257 [doi]
• RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting FrameworkZhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu. 1258-1265 [doi]
• Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol DetectionZhou Zhou, Lingjia Liu 0001, Vikram Chandrasekhar, Jianzhong Zhang, Yang Yi 0002. 1266-1273 [doi]
• MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed GraphsMengxiao Zhu, Haogang Zhu. 1274-1281 [doi]
• Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure LearningMark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song Chun Zhu. 1283-1291 [doi]
• Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum SharingKian Hamedani, Lingjia Liu 0001, Shiya Liu, Haibo He, Yang Yi 0002. 1292-1299 [doi]
• People Do Not Just Plan, They Plan to PlanMark K. Ho, David Abel, Jonathan D. Cohen, Michael L. Littman, Thomas L. Griffiths. 1300-1307 [doi]
• Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural NetworksQianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan 0001. 1308-1315 [doi]
• Biologically Plausible Sequence Learning with Spiking Neural NetworksZuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin. 1316-1323 [doi]
• Transfer Reinforcement Learning Using Output-Gated Working MemoryArthur Williams, Joshua Phillips. 1324-1331 [doi]
• Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational ReasoningWenhe Zhang, Chi Zhang, Yixin Zhu, Song Chun Zhu. 1332-1340 [doi]
• STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from GaitsUttaran Bhattacharya, Trisha Mittal, Rohan Chandra, Tanmay Randhavane, Aniket Bera, Dinesh Manocha. 1342-1350 [doi]
• Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional NetworksEsma Mansouri-Benssassi, Juan Ye. 1351-1358 [doi]
• M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech CuesTrisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha. 1359-1367 [doi]
• To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and SustainabilityElizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe. 1369-1377 [doi]
• End-to-End Game-Focused Learning of Adversary Behavior in Security GamesAndrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe. 1378-1386 [doi]
• Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip ConnectionSagar Verma, Nicolas Henwood, Marc Castella, François Malrait, Jean-Christophe Pesquet. 1387-1394 [doi]
• Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time SeriesDongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang 0001. 1395-1402 [doi]
• Deep Unsupervised Binary Coding Networks for Multivariate Time Series RetrievalDixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen. 1403-1411 [doi]
• Improved Filtering for the Euclidean Traveling Salesperson Problem in CLP(FD)Alessandro Bertagnon, Marco Gavanelli. 1412-1419 [doi]
• Chain Length and CSPs Learnable with Few QueriesChristian Bessiere, Clément Carbonnel, George Katsirelos. 1420-1427 [doi]
• Guiding CDCL SAT Search via Random Exploration amid Conflict DepressionMd Solimul Chowdhury, Martin Müller, Jia You. 1428-1435 [doi]
• Representative Solutions for Bi-Objective OptimisationEmir Demirovic, Nicolas Schwind. 1436-1443 [doi]
• Dynamic Programming for Predict+OptimiseEmir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey 0001, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan. 1444-1451 [doi]
• Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution PredictionJian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song. 1452-1459 [doi]
• Optimization of Chance-Constrained Submodular FunctionsBenjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann 0001, Andrew M. Sutton. 1460-1467 [doi]
• ADDMC: Weighted Model Counting with Algebraic Decision DiagramsJeffrey M. Dudek, Vu Phan, Moshe Y. Vardi. 1468-1476 [doi]
• Modelling and Solving Online Optimisation ProblemsAlexander Ek, Maria Garcia de la Banda, Andreas Schutt, Peter J. Stuckey, Guido Tack. 1477-1485 [doi]
• Justifying All Differences Using Pseudo-Boolean ReasoningJan Elffers, Stephan Gocht, Ciaran McCreesh, Jakob Nordström. 1486-1494 [doi]
• A Cardinal Improvement to Pseudo-Boolean SolvingJan Elffers, Jakob Nordström. 1495-1503 [doi]
• MIPaaL: Mixed Integer Program as a LayerAaron Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe. 1504-1511 [doi]
• Using Approximation within Constraint Programming to Solve the Parallel Machine Scheduling Problem with Additional Unit ResourcesArthur Godet, Xavier Lorca, Emmanuel Hebrard, Gilles Simonin. 1512-1519 [doi]
• SPAN: A Stochastic Projected Approximate Newton MethodXunpeng Huang, Xianfeng Liang, Zhengyang Liu, Lei Li, Yue Yu, Yitan Li. 1520-1527 [doi]
• Modelling Diversity of SolutionsLinnea Ingmar, Maria Garcia de la Banda, Peter J. Stuckey, Guido Tack. 1528-1535 [doi]
• Incremental Symmetry Breaking Constraints for Graph Search ProblemsAvraham Itzhakov, Michael Codish. 1536-1543 [doi]
• Finding Most Compatible Phylogenetic Trees over Multi-State CharactersTuukka Korhonen, Matti Järvisalo. 1544-1551 [doi]
• FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean ConstraintsAnastasios Kyrillidis, Anshumali Shrivastava, Moshe Y. Vardi, Zhiwei Zhang. 1552-1560 [doi]
• Augmenting the Power of (Partial) MaxSat Resolution with ExtensionJavier Larrosa, Emma Rollon. 1561-1568 [doi]
• Solving Set Cover and Dominating Set via Maximum SatisfiabilityZhendong Lei, Shaowei Cai. 1569-1576 [doi]
• Finding Good Subtrees for Constraint Optimization Problems Using Frequent Pattern MiningHongbo Li, Jimmy Lee, He Mi, Minghao Yin. 1577-1584 [doi]
• An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse LearningGuannan Liang, Qianqian Tong, Chun Jiang Zhu, Jinbo Bi. 1585-1592 [doi]
• Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity ResolutionVishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh 0001, Julian Yarkony. 1593-1602 [doi]
• Smart Predict-and-Optimize for Hard Combinatorial Optimization ProblemsJayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns. 1603-1610 [doi]
• Grammar Filtering for Syntax-Guided SynthesisKairo Morton, William T. Hallahan, Elven Shum, Ruzica Piskac, Mark Santolucito. 1611-1618 [doi]
• D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex ProblemsTaoxing Pan, Jun Liu, Jie Wang. 1619-1626 [doi]
• Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing PlatformsTuhin Sahai, Anurag Mishra, Jose Miguel Pasini, Susmit Jha. 1627-1635 [doi]
• Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for ExplainabilityPrathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren. 1636-1643 [doi]
• Probabilistic Inference for Predicate Constraint SatisfactionYuki Satake, Hiroshi Unno 0001, Hinata Yanagi. 1644-1651 [doi]
• Hard Examples for Common Variable Decision HeuristicsMarc Vinyals. 1652-1659 [doi]
• Multiple Graph Matching and Clustering via Decayed Pairwise Matching CompositionTianzhe Wang, Zetian Jiang, Junchi Yan. 1660-1667 [doi]
• Constructing Minimal Perfect Hash Functions Using SAT TechnologySean A. Weaver, Marijn Heule. 1668-1675 [doi]
• Explaining Propagators for String Edit Distance ConstraintsFelix Winter, Nysret Musliu, Peter J. Stuckey. 1676-1683 [doi]
• Deep Neural Network Approximated Dynamic Programming for Combinatorial OptimizationShenghe Xu, Shivendra S. Panwar, Murali S. Kodialam, T. V. Lakshman. 1684-1691 [doi]
• Generating Interactive Worlds with TextAngela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston. 1693-1700 [doi]
• Deep Reinforcement Learning for General Game PlayingAdrian Goldwaser, Michael Thielscher. 1701-1708 [doi]
• Narrative Planning Model Acquisition from Text Summaries and DescriptionsThomas Hayton, Julie Porteous, João Fernando Ferreira, Alan Lindsay. 1709-1716 [doi]
• FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance NormalizationWei Li, Yongxing He, Yanwei Qi, Zejian Li, Yongchuan Tang. 1717-1724 [doi]
• A Character-Centric Neural Model for Automated Story GenerationDanyang Liu, Juntao Li, Meng-Hsuan Yu, Ziming Huang, Gongshen Liu, Dongyan Zhao 0001, Rui Yan 0001. 1725-1732 [doi]
• Fast and Robust Face-to-Parameter Translation for Game Character Auto-CreationTianyang Shi, Zhengxia Zou, Yi Yuan, Changjie Fan. 1733-1740 [doi]
• Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational AutoencoderMeng-Hsuan Yu, Juntao Li, Danyang Liu, Bo Tang, Haisong Zhang, Dongyan Zhao 0001, Rui Yan 0001. 1741-1748 [doi]
• Distance-Based Equilibria in Normal-Form GamesErman Acar, Reshef Meir. 1750-1757 [doi]
• Swap Stability in Schelling Games on GraphsAishwarya Agarwal, Edith Elkind, Jiarui Gan, Alexandros A. Voudouris. 1758-1765 [doi]
• The Impact of Selfishness in Hypergraph Hedonic GamesAlessandro Aloisio, Michele Flammini, Cosimo Vinci. 1766-1773 [doi]
• Multiagent Evaluation MechanismsTal Alon, Magdalen Dobson, Ariel D. Procaccia, Inbal Talgam-Cohen, Jamie Tucker-Foltz. 1774-1781 [doi]
• Peeking Behind the Ordinal Curtain: Improving Distortion via Cardinal QueriesGeorgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris. 1782-1789 [doi]
• Multiple Birds with One Stone: Beating 1/2 for EFX and GMMS via Envy Cycle EliminationGeorgios Amanatidis, Evangelos Markakis, Apostolos Ntokos. 1790-1797 [doi]
• All-Pay Bidding Games on GraphsGuy Avni, Rasmus Ibsen-Jensen, Josef Tkadlec. 1798-1805 [doi]
• Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design PerspectivesHaris Aziz 0001, Hau Chan, Barton Lee, Bo Li 0037, Toby Walsh. 1806-1813 [doi]
• Fair Division of Mixed Divisible and Indivisible GoodsXiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu, Xinhang Lu. 1814-1821 [doi]
• Individual-Based Stability in Hedonic Diversity GamesNiclas Boehmer, Edith Elkind. 1822-1829 [doi]
• Adapting Stable Matchings to Evolving PreferencesRobert Bredereck, Jiehua Chen, Dusan Knop, Junjie Luo, Rolf Niedermeier. 1830-1837 [doi]
• Parameterized Algorithms for Finding a Collective Set of ItemsRobert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk 0001, Dusan Knop, Rolf Niedermeier. 1838-1845 [doi]
• Electing Successive Committees: Complexity and AlgorithmsRobert Bredereck, Andrzej Kaczmarczyk 0001, Rolf Niedermeier. 1846-1853 [doi]
• Approval-Based ApportionmentMarkus Brill, Paul Gölz, Dominik Peters, Ulrike Schmidt-Kraepelin, Kai Wilker. 1854-1861 [doi]
• Refining Tournament Solutions via Margin of VictoryMarkus Brill, Ulrike Schmidt-Kraepelin, Warut Suksompong. 1862-1869 [doi]
• Persuading Voters: It's Easy to Whisper, It's Hard to Speak LoudMatteo Castiglioni, Andrea Celli, Nicola Gatti 0001. 1870-1877 [doi]
• Election Control in Social Networks via Edge Addition or RemovalMatteo Castiglioni, Diodato Ferraioli, Nicola Gatti 0001. 1878-1885 [doi]
• Private Bayesian Persuasion with Sequential GamesAndrea Celli, Stefano Coniglio, Nicola Gatti 0001. 1886-1893 [doi]
• Favorite-Candidate Voting for Eliminating the Least Popular Candidate in a Metric SpaceXujin Chen, Minming Li, Chenhao Wang 0001. 1894-1901 [doi]
• Manipulating Districts to Win Elections: Fine-Grained ComplexityEduard Eiben, Fedor V. Fomin, Fahad Panolan, Kirill Simonov. 1902-1909 [doi]
• On Swap Convexity of Voting RulesSvetlana Obraztsova, Edith Elkind, Piotr Faliszewski. 1910-1917 [doi]
• Analysis of One-to-One Matching Mechanisms via SAT Solving: Impossibilities for Universal AxiomsUlle Endriss. 1918-1925 [doi]
• Iterative Delegations in Liquid Democracy with Restricted PreferencesBruno Escoffier, Hugo Gilbert, Adèle Pass-Lanneau. 1926-1933 [doi]
• Coarse Correlation in Extensive-Form GamesGabriele Farina, Tommaso Bianchi, Tuomas Sandholm. 1934-1941 [doi]
• Designing Committees for Mitigating BiasesMichal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, Moshe Tennenholtz. 1942-1949 [doi]
• Strategyproof Mechanisms for Friends and Enemies GamesMichele Flammini, Bojana Kodric, Giovanna Varricchio. 1950-1957 [doi]
• Preventing Arbitrage from Collusion When Eliciting ProbabilitiesRupert Freeman, David M. Pennock, Dominik Peters, Bo Waggoner. 1958-1965 [doi]
• VCG under Sybil (False-Name) Attacks - A Bayesian AnalysisYotam Gafni, Ron Lavi, Moshe Tennenholtz. 1966-1973 [doi]
• Bidding in Smart Grid PDAs: Theory, Analysis and StrategySusobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat. 1974-1981 [doi]
• Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation ProblemHugo Gilbert, Tom Portoleau, Olivier Spanjaard. 1982-1989 [doi]
• Contiguous Cake Cutting: Hardness Results and Approximation AlgorithmsPaul W. Goldberg, Alexandros Hollender, Warut Suksompong. 1990-1997 [doi]
• Strongly Budget Balanced Auctions for Multi-Sided MarketsRica Gonen, Erel Segal-haLevi. 1998-2005 [doi]
• The Complexity of Computing Maximin Share Allocations on GraphsGianluigi Greco, Francesco Scarcello. 2006-2013 [doi]
• Fair Division Through Information WithholdingHadi Hosseini, Sujoy Sikdar, Rohit Vaish, Hejun Wang, Lirong Xia. 2014-2021 [doi]
• Model and Reinforcement Learning for Markov Games with Risk PreferencesWenjie Huang, Pham Viet Hai, William Benjamin Haskell. 2022-2029 [doi]
• A Simple, Fast, and Safe Mediator for Congestion ManagementKei Ikegami, Kyohei Okumura, Takumi Yoshikawa. 2030-2037 [doi]
• Repeated Multimarket Contact with Private Monitoring: A Belief-Free ApproachAtsushi Iwasaki, Tadashi Sekiguchi, Shun Yamamoto, Makoto Yokoo. 2038-2045 [doi]
• A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart GridsJain Shweta, Gujar Sujit. 2046-2053 [doi]
• Double-Oracle Sampling Method for Stackelberg Equilibrium Approximation in General-Sum Extensive-Form GamesJan Karwowski, Jecek Mandziuk. 2054-2061 [doi]
• Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social NetworkTakehiro Kawasaki, Nathanaël Barrot, Seiji Takanashi, Taiki Todo, Makoto Yokoo. 2062-2069 [doi]
• On the Max-Min Fair Stochastic Allocation of Indivisible GoodsYasushi Kawase, Hanna Sumita. 2070-2078 [doi]
• An Analysis Framework for Metric Voting based on LP DualityDavid Kempe 0001. 2079-2086 [doi]
• Communication, Distortion, and Randomness in Metric VotingDavid Kempe 0001. 2087-2094 [doi]
• Information Elicitation Mechanisms for Statistical EstimationYuqing Kong, Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu. 2095-2102 [doi]
• Perpetual Voting: Fairness in Long-Term Decision MakingMartin Lackner. 2103-2110 [doi]
• Defending with Shared Resources on a NetworkMinming Li, Long Tran-Thanh, Xiaowei Wu. 2111-2118 [doi]
• Structure Learning for Approximate Solution of Many-Player GamesZun Li, Michael P. Wellman. 2119-2127 [doi]
• Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning ApproachYang Liu, Qi Liu 0003, Hongke Zhao, Zhen Pan, Chuanren Liu. 2128-2135 [doi]
• Limitations of Incentive Compatibility on Discrete Type SpacesTaylor Lundy, Hu Fu. 2136-2143 [doi]
• Mechanism Design with Predicted Task Revenue for Bike Sharing SystemsHongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen. 2144-2151 [doi]
• Lifting Preferences over Alternatives to Preferences over Sets of Alternatives: The Complexity of Recognizing Desirable Families of SetsJan Maly 0001. 2152-2159 [doi]
• The Effectiveness of Peer Prediction in Long-Term ForecastingDebmalya Mandal, Radanovic Goran, David C. Parkes. 2160-2167 [doi]
• The Surprising Power of Hiding Information in Facility LocationSafwan Hossain, Evi Micha, Nisarg Shah 0001. 2168-2175 [doi]
• Can We Predict the Election Outcome from Sampled Votes?Evi Micha, Nisarg Shah 0001. 2176-2183 [doi]
• Price of Fairness in Budget Division and Probabilistic Social ChoiceMarcin Michorzewski, Dominik Peters, Piotr Skowron. 2184-2191 [doi]
• Robust Market Equilibria with Uncertain PreferencesRiley Murray, Christian Kroer, Alex Peysakhovich, Parikshit Shah. 2192-2199 [doi]
• Practical Frank-Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion GamesKengo Nakamura, Shinsaku Sakaue, Norihito Yasuda. 2200-2209 [doi]
• Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand HoursVedant Nanda, Pan Xu 0001, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan. 2210-2217 [doi]
• Comparing Election Methods Where Each Voter Ranks Only Few CandidatesMatthias Bentert, Piotr Skowron. 2218-2225 [doi]
• Solving Online Threat Screening Games using Constrained Action Space Reinforcement LearningSanket Shah, Arunesh Sinha, radeep Varakanthamp, Andrew Perrault, Milind Tambe. 2226-2235 [doi]
• Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search AuctionsWeiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang. 2236-2243 [doi]
• Complexity of Computing the Shapley Value in Games with ExternalitiesOskar Skibski. 2244-2251 [doi]
• Path Planning Problems with Side Observations - When Colonels Play Hide-and-SeekDong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh. 2252-2259 [doi]
• Multi-Type Resource Allocation with Partial PreferencesHaibin Wang, Sujoy Sikdar, Xiaoxi Guo, Lirong Xia, Yongzhi Cao, Hanpin Wang. 2260-2267 [doi]
• Nice Invincible Strategy for the Average-Payoff IPDShiheng Wang, Fangzhen Lin. 2268-2275 [doi]
• Bounded Incentives in Manipulating the Probabilistic Serial RuleZihe Wang, Zhide Wei, Jie Zhang 0008. 2276-2283 [doi]
• Deep Learning-Powered Iterative Combinatorial AuctionsJakob Weissteiner, Sven Seuken. 2284-2293 [doi]
• A Multi-Unit Profit Competitive Mechanism for Cellular Traffic OffloadingJun Wu, Yu Qiao, Lei Zhang 0086, Chongjun Wang, Meilin Liu. 2294-2301 [doi]
• Algorithms for Manipulating Sequential AllocationMingyu Xiao, Jiaxing Ling. 2302-2309 [doi]
• Computing Equilibria in Binary Networked Public Goods GamesSixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik. 2310-2317 [doi]
• Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form GamesYouzhi Zhang, Bo An 0001. 2318-2325 [doi]
• A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional SearchVidal Alcázar, Patricia J. Riddle, Mike Barley. 2327-2334 [doi]
• An Interactive Regret-Based Genetic Algorithm for Solving Multi-Objective Combinatorial Optimization ProblemsNawal Benabbou, Cassandre Leroy, Thibaut Lust. 2335-2342 [doi]
• Local Search with Dynamic-Threshold Configuration Checking and Incremental Neighborhood Updating for Maximum k-plex ProblemPeilin Chen, Hai Wan, Shaowei Cai, Jia Li, Haicheng Chen. 2343-2350 [doi]
• Envelope-Based Approaches to Real-Time Heuristic SearchKevin C. Gall, Bence Cserna, Wheeler Ruml. 2351-2358 [doi]
• Runtime Analysis of Somatic Contiguous Hypermutation Operators in MOEA/D FrameworkZhengxin Huang, Yuren Zhou. 2359-2366 [doi]
• Learning to Optimize Variational Quantum Circuits to Solve Combinatorial ProblemsSami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash. 2367-2375 [doi]
• How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-HeuristicsAndrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker. 2376-2383 [doi]
• On Performance Estimation in Automatic Algorithm ConfigurationShengcai Liu, Ke Tang, Yunwei Lei, Xin Yao 0001. 2384-2391 [doi]
• A Learning Based Branch and Bound for Maximum Common Subgraph Related ProblemsYanli Liu 0001, Chu Min Li, Hua Jiang, Kun He 0001. 2392-2399 [doi]
• Cakewalk SamplingUri Patish, Shimon Ullman. 2400-2407 [doi]
• Subset Selection by Pareto Optimization with RecombinationChao Qian 0001, Chao Bian, Chao Feng. 2408-2415 [doi]
• Asymptotic Risk of Bézier Simplex FittingAkinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada. 2416-2424 [doi]
• Trading Convergence Rate with Computational Budget in High Dimensional Bayesian OptimizationHung Tran-The, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. 2425-2432 [doi]
• Reduction and Local Search for Weighted Graph Coloring ProblemYiyuan Wang, Shaowei Cai, Shiwei Pan, XiMing Li, Minghao Yin. 2433-2441 [doi]
• k-Plexes with Worst-Case Time GuaranteeYi Zhou, Jingwei Xu, Zhenyu Guo, Mingyu Xiao, Yan Jin. 2442-2449 [doi]
• A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event DetectionAkansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux. 2451-2458 [doi]
• Just Ask: An Interactive Learning Framework for Vision and Language NavigationTa-Chung Chi, Minmin Shen, Mihail Eric, Seokhwan Kim, Dilek Hakkani-Tür. 2459-2466 [doi]
• Asymptotically Unambitious Artificial General IntelligenceMichael K. Cohen, Badri N. Vellambi, Marcus Hutter. 2467-2476 [doi]
• A Framework for Engineering Human/Agent Teaming SystemsRick Evertsz, John Thangarajah. 2477-2484 [doi]
• What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain DynamicsZe Gong, Yu Zhang. 2485-2492 [doi]
• Explainable Reinforcement Learning through a Causal LensPrashan Madumal, Tim Miller 0001, Liz Sonenberg, Frank Vetere. 2493-2500 [doi]
• Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural NetworksWoo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee. 2501-2508 [doi]
• Human-Machine Collaboration for Fast Land Cover MappingCaleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic. 2509-2517 [doi]
• Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior ExplanationsSarath Sreedharan, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati. 2518-2526 [doi]
• Corpus-Level End-to-End Exploration for Interactive SystemsZhiwen Tang, Grace Hui Yang. 2527-2534 [doi]
• Learning to Interactively Learn and AssistMark Woodward, Chelsea Finn, Karol Hausman. 2535-2543 [doi]
• CG-GAN: An Interactive Evolutionary GAN-Based Approach for Facial Composite GenerationNicola Zaltron, Luisa Zurlo, Sebastian Risi. 2544-2551 [doi]
• Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision ProcessesShun Zhang, Edmund H. Durfee, Satinder P. Singh. 2552-2559 [doi]
• BAR - A Reinforcement Learning Agent for Bounding-Box Automated RefinementMorgane Ayle, Jimmy Tekli, Julia El Zini, Boulos El Asmar, Mariette Awad. 2561-2568 [doi]
• Cost-Accuracy Aware Adaptive Labeling for Active LearningRuijiang Gao, Maytal Saar-Tsechansky. 2569-2576 [doi]
• HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing MarketsYasmine Kotturi, Anson Kahng, Ariel D. Procaccia, Chinmay Kulkarni. 2577-2584 [doi]
• Fine-Grained Machine Teaching with Attention ModelingJiacheng Liu, Xiaofeng Hou, Feilong Tang. 2585-2592 [doi]
• CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-LinesArjun R. Akula, Shuai Wang, Song Chun Zhu. 2594-2601 [doi]
• Towards Awareness of Human Relational Strategies in Virtual AgentsIan Beaver, Cynthia Freeman, Abdullah Mueen. 2602-2610 [doi]
• Regression under Human AssistanceAbir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez. 2611-2620 [doi]
• MIMAMO Net: Integrating Micro- and Macro-Motion for Video Emotion RecognitionDidan Deng, Zhaokang Chen, YuQian Zhou, Bertram E. Shi. 2621-2628 [doi]
• Conditional Generative Neural Decoding with Structured CNN Feature PredictionChangde Du, Changying Du, Lijie Huang, Huiguang He. 2629-2636 [doi]
• GaSPing for UtilityMengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian. 2637-2644 [doi]
• Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech RecognitionYaman Kumar, Dhruva Sahrawat, Shubham Maheshwari, Debanjan Mahata, Amanda Stent, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann. 2645-2652 [doi]
• Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI DataWeida Li, Mingxia Liu, Fang Chen, Daoqiang Zhang. 2653-2660 [doi]
• Multi-Source Domain Adaptation for Visual Sentiment ClassificationChuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua. 2661-2668 [doi]
• Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural SearchingWei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao. 2669-2676 [doi]
• UCF-STAR: A Large Scale Still Image Dataset for Understanding Human ActionsMarjaneh Safaei, Pooyan Balouchian, Hassan Foroosh. 2677-2684 [doi]
• Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective LearningProcheta Sen, Debasis Ganguly. 2685-2692 [doi]
• Reinforcing an Image Caption Generator Using Off-Line Human FeedbackPaul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut. 2693-2700 [doi]
• Instance-Adaptive Graph for EEG Emotion RecognitionTengfei Song, Suyuan Liu, Wenming Zheng, Yuan Zong, Zhen Cui. 2701-2708 [doi]
• Variational Pathway Reasoning for EEG Emotion RecognitionTong Zhang, Zhen Cui, Chunyan Xu, Wenming Zheng, Jian Yang 0003. 2709-2716 [doi]
• Crowd-Assisted Disaster Scene Assessment with Human-AI Interactive AttentionDaniel Yue Zhang, Yifeng Huang, Yang Zhang, Dong Wang. 2717-2724 [doi]
• Learning and Reasoning for Robot Sequential Decision Making under UncertaintySaeid Amiri, Mohammad Shokrolah-Shirazi, ShiQi Zhang. 2726-2733 [doi]
• Query Rewriting for Ontology-Mediated Conditional AnswersMedina Andresel, Magdalena Ortiz, Mantas Simkus. 2734-2741 [doi]
• Revisiting the Foundations of Abstract Argumentation - Semantics Based on Weak Admissibility and Weak DefenseRingo Baumann, Gerhard Brewka, Markus Ulbricht. 2742-2749 [doi]
• Forgetting an ArgumentRingo Baumann, Dov M. Gabbay, Odinaldo Rodrigues. 2750-2757 [doi]
• Checking Chase Termination over Ontologies of Existential Rules with EqualityDavid Carral, Jacopo Urbani. 2758-2765 [doi]
• Model-Based Diagnosis with Uncertain ObservationsDean Cazes, Meir Kalech. 2766-2773 [doi]
• ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph CompletionFeihu Che, Dawei Zhang, Jianhua Tao, Mingyue Niu, Bocheng Zhao. 2774-2781 [doi]
• ℛGianluca Cima, Maurizio Lenzerini, Antonella Poggi. 2782-2789 [doi]
• Epistemic Integrity Constraints for Ontology-Based Data ManagementMarco Console, Maurizio Lenzerini. 2790-2797 [doi]
• Hypothetical Answers to Continuous Queries over Data StreamsLuís Cruz-Filipe, Isabel Nunes, Graça Gaspar. 2798-2805 [doi]
• ElGolog: A High-Level Programming Language with Memory of the Execution HistoryGiuseppe De Giacomo, Yves Lespérance, Eugenia Ternovska. 2806-2813 [doi]
• Efficient Model-Based Diagnosis of Sequential CircuitsAlexander Feldman, Ingo Pill, Franz Wotawa, Ion Matei, Johan de Kleer. 2814-2821 [doi]
• Proportional Belief MergingAdrian Haret, Martin Lackner, Andreas Pfandler, Johannes Peter Wallner. 2822-2829 [doi]
• Structural Decompositions of Epistemic Logic ProgramsMarkus Hecher, Michael Morak, Stefan Woltran. 2830-2837 [doi]
• Going Deep: Graph Convolutional Ladder-Shape NetworksRuiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu 0001, Liming Zhu, Jing Jiang 0002. 2838-2845 [doi]
• Aggregation of Perspectives Using the Constellations Approach to Probabilistic ArgumentationAnthony Hunter, Kawsar Noor. 2846-2853 [doi]
• Least General Generalizations in Description Logic: Verification and ExistenceJean Christoph Jung, Carsten Lutz, Frank Wolter. 2854-2861 [doi]
• Complexity and Expressive Power of Disjunction and Negation in Limit DatalogMark Kaminski, Bernardo Cuenca Grau, Egor V. Kostylev, Ian Horrocks. 2862-2869 [doi]
• Logics for Sizes with Union or IntersectionCaleb Kisby, Saúl Blanco, Alex Kruckman, Lawrence S. Moss. 2870-2876 [doi]
• FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation CriteriaMark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo 0001. 2877-2885 [doi]
• Automatic Verification of Liveness Properties in the Situation CalculusJian Li, Yongmei Liu 0001. 2886-2892 [doi]
• Path Ranking with Attention to Type HierarchiesWeiyu Liu, Angel Andres Daruna, Zsolt Kira, Sonia Chernova. 2893-2900 [doi]
• K-BERT: Enabling Language Representation with Knowledge GraphWeijie Liu, Peng Zhou, Zhe Zhao 0006, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang 0003. 2901-2908 [doi]
• Explanations for Inconsistency-Tolerant Query Answering under Existential RulesThomas Lukasiewicz, Enrico Malizia, Cristian Molinaro. 2909-2916 [doi]
• Resilient Logic Programs: Answer Set Programs Challenged by OntologiesSanja Lukumbuzya, Magdalena Ortiz, Mantas Simkus. 2917-2924 [doi]
• Commonsense Knowledge Base Completion with Structural and Semantic ContextChaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi. 2925-2933 [doi]
• Blameworthiness in Security GamesPavel Naumov, Jia Tao. 2934-2941 [doi]
• Deciding Acceptance in Incomplete Argumentation FrameworksAndreas Niskanen, Daniel Neugebauer, Matti Järvisalo, Jörg Rothe. 2942-2949 [doi]
• Rule-Guided Compositional Representation Learning on Knowledge GraphsGuanglin Niu, Yongfei Zhang, Bo Li 0006, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang 0003. 2950-2958 [doi]
• Learning Query Inseparable εℒℋ OntologiesAna Ozaki, Cosimo Persia, Andrea Mazzullo. 2959-2966 [doi]
• Graph Representations for Higher-Order Logic and Theorem ProvingAditya Paliwal, Sarah M. Loos, Markus N. Rabe, Kshitij Bansal, Christian Szegedy. 2967-2974 [doi]
• Relatedness and TBox-Driven Rule Learning in Large Knowledge BasesGiuseppe Pirrò. 2975-2982 [doi]
• A Framework for Measuring Information AsymmetryYakoub Salhi. 2983-2990 [doi]
• Adversarial Deep Network Embedding for Cross-Network Node ClassificationXiao Shen, Quanyu Dai, Fu-Lai Chung, Wei Lu 0006, Kup-Sze Choi. 2991-2999 [doi]
• Contextual Parameter Generation for Knowledge Graph Link PredictionGeorge Stoica, Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos. 3000-3008 [doi]
• InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature InteractionsShikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar. 3009-3016 [doi]
• Query Answering with Guarded Existential Rules under Stable Model SemanticsHai Wan, Guohui Xiao 0001, Chenglin Wang, Xianqiao Liu, Junhong Chen, Zhe Wang. 3017-3024 [doi]
• COTSAE: CO-Training of Structure and Attribute Embeddings for Entity AlignmentKai Yang, Shaoqin Liu, Junfeng Zhao, Yasha Wang, Bing Xie. 3025-3032 [doi]
• Ranking-Based Semantics for Sets of Attacking ArgumentsBruno Yun, Srdjan Vesic, Madalina Croitoru. 3033-3040 [doi]
• Few-Shot Knowledge Graph CompletionChuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla. 3041-3048 [doi]
• Towards Universal Languages for Tractable Ontology Mediated Query AnsweringHeng Zhang 0006, Yan Zhang, Jia-Huai You, Zhiyong Feng 0002, Guifei Jiang. 3049-3056 [doi]
• On the Expressivity of ASK Queries in SPARQLXiaowang Zhang, Jan Van den Bussche, Kewen Wang, Heng Zhang 0006, Xuanxing Yang, Zhiyong Feng 0002. 3057-3064 [doi]
• Learning Hierarchy-Aware Knowledge Graph Embeddings for Link PredictionZhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. 3065-3072 [doi]
• A Practical Approach to Forgetting in Description Logics with NominalsYizheng Zhao, Renate A. Schmidt, Yuejie Wang, Xuanming Zhang, Hao Feng. 3073-3079 [doi]
• Deciding the Loosely Guarded Fragment and Querying Its Horn Fragment Using ResolutionSen Zheng, Renate A. Schmidt. 3080-3087 [doi]
• LTLƒ Synthesis with Fairness and Stability AssumptionsShufang Zhu, Giuseppe De Giacomo, Geguang Pu, Moshe Y. Vardi. 3088-3095 [doi]
• Learning to Reason: Leveraging Neural Networks for Approximate DNF CountingRalph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz. 3097-3104 [doi]
• Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep LearningAfshin Abdi, Faramarz Fekri. 3105-3112 [doi]
• Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep LearningAfshin Abdi, Faramarz Fekri. 3113-3120 [doi]
• Image-Adaptive GAN Based ReconstructionShady Abu Hussein, Tom Tirer, Raja Giryes. 3121-3129 [doi]
• DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained ClassifierSravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan. 3130-3137 [doi]
• Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social SystemsAbhijin Adiga, Chris J. Kuhlman, Madhav Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti. 3138-3145 [doi]
• Learning Optimal Decision Trees Using Caching Branch-and-Bound SearchGaël Aglin, Siegfried Nijssen, Pierre Schaus. 3146-3153 [doi]
• Detecting Semantic AnomaliesFaruk Ahmed, Aaron C. Courville. 3154-3162 [doi]
• Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow AlgorithmYasunori Akagi, Takuya Nishimura 0002, Yusuke Tanaka 0002, Takeshi Kurashima, Hiroyuki Toda. 3163-3170 [doi]
• Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement NoiseAlbert Akhriev, Jakub Marecek, Andrea Simonetto. 3171-3178 [doi]
• An Implicit Form of Krasulina's k-PCA Update without the Orthonormality ConstraintEhsan Amid, Manfred K. Warmuth. 3179-3186 [doi]
• Kriging Convolutional NetworksGabriel Appleby, Linfeng Liu, Liping Liu. 3187-3194 [doi]
• Efficient Inference of Optimal Decision TreesFlorent Avellaneda. 3195-3202 [doi]
• Few Shot Network Compression via Cross DistillationHaoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu. 3203-3210 [doi]
• A Three-Level Optimization Model for Nonlinearly Separable ClusteringLiang Bai, Jiye Liang. 3211-3218 [doi]
• Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set MatchingYunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang. 3219-3226 [doi]
• Learning to Optimize Computational Resources: Frugal Training with Generalization GuaranteesMaria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik. 3227-3234 [doi]
• Scalable Attentive Sentence Pair Modeling via Distilled Sentence EmbeddingOren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein. 3235-3242 [doi]
• Midas: Microcluster-Based Detector of Anomalies in Edge StreamsSiddharth Bhatia 0001, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos. 3242-3249 [doi]
• Exploratory Combinatorial Optimization with Reinforcement LearningThomas D. Barrett, William R. Clements, Jakob N. Foerster, Alex Lvovsky. 3243-3250 [doi]
• Event-Driven Continuous Time Bayesian NetworksDebarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian. 3259-3266 [doi]
• An Efficient Evolutionary Algorithm for Subset Selection with General Cost ConstraintsChao Bian, Chao Feng, Chao Qian 0001, Yang Yu 0001. 3267-3274 [doi]
• A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to ControlAdel Bibi, El Houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtárik. 3275-3282 [doi]
• Proximal Distilled Evolutionary Reinforcement LearningCristian Bodnar, Ben Day, Pietro Lió. 3283-3290 [doi]
• Efficient Verification of ReLU-Based Neural Networks via Dependency AnalysisElena Botoeva, Panagiotis Kouvaros, Jan Kronqvist, Alessio Lomuscio, Ruth Misener. 3291-3299 [doi]
• Information-Theoretic Understanding of Population Risk Improvement with Model CompressionYuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli. 3300-3307 [doi]
• A Multi-Scale Approach for Graph Link PredictionLei Cai, Shuiwang Ji. 3308-3315 [doi]
• Deterministic Value-Policy GradientsQingpeng Cai, Ling Pan, Pingzhong Tang. 3316-3323 [doi]
• Predicting Propositional Satisfiability via End-to-End LearningChris Cameron, Rex Chen, Jason S. Hartford, Kevin Leyton-Brown. 3324-3331 [doi]
• Active Ordinal Querying for Tuplewise Similarity LearningGregory Canal, Stefano Fenu, Christopher Rozell. 3332-3340 [doi]
• Fatigue-Aware Bandits for Dependent Click ModelsJunyu Cao, Wei Sun, Zuo-Jun (Max) Shen, Markus Ettl. 3341-3348 [doi]
• Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU NetworksYuan Cao, Quanquan Gu. 3349-3356 [doi]
• Exponential Family Graph EmbeddingsAbdulkadir Çelikkanat, Fragkiskos D. Malliaros. 3357-3364 [doi]
• Asking the Right Questions to the Right Users: Active Learning with Imperfect OraclesShayok Chakraborty. 3365-3372 [doi]
• Lifelong Learning with a Changing Action SetYash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas. 3373-3380 [doi]
• Reinforcement Learning When All Actions Are Not Always AvailableYash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas. 3381-3388 [doi]
• A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding ModelsHeng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu 0001, JunZhou Huang. 3389-3396 [doi]
• Robust Data Programming with Precision-guided Labeling FunctionsOishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi. 3397-3404 [doi]
• A New Ensemble Adversarial Attack Powered by Long-Term Gradient MemoriesZhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li 0002, Patrick Le Callet. 3405-3413 [doi]
• Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal ControlChacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li. 3414-3421 [doi]
• HoMM: Higher-Order Moment Matching for Unsupervised Domain AdaptationChao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua 0001. 3422-3429 [doi]
• Online Knowledge Distillation with Diverse PeersDefang Chen, Jian-Ping Mei, Can Wang 0001, Yan Feng, Chun Chen 0001. 3430-3437 [doi]
• Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological ViewDeli Chen, Yankai Lin, Wei Li, Peng Li 0030, Jie Zhou 0016, Xu Sun 0001. 3438-3445 [doi]
• ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification SystemHuangxun Chen, Chenyu Huang, Qianyi Huang, Qian Zhang 0001, Wei Wang 0050. 3446-3453 [doi]
• LS-Tree: Model Interpretation When the Data Are LinguisticJianbo Chen, Michael I. Jordan. 3454-3461 [doi]
• Generative Adversarial Networks for Video-to-Video Domain AdaptationJiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng. 3462-3469 [doi]
• Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit FeedbackJiawei Chen, Can Wang 0001, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen 0001. 3470-3477 [doi]
• Variational Metric Scaling for Metric-Based Meta-LearningJiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-Lai Chung. 3478-3485 [doi]
• A Frank-Wolfe Framework for Efficient and Effective Adversarial AttacksJinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu. 3486-3494 [doi]
• Weakly Supervised Disentanglement by Pairwise SimilaritiesJunxiang Chen, Kayhan Batmanghelich. 3495-3502 [doi]
• Outlier Detection Ensemble with Embedded Feature SelectionLi Cheng, Yijie Wang, Xinwang Liu, Bin Li 0030. 3503-3512 [doi]
• Multi-View Clustering in Latent Embedding SpaceMansheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang. 3513-3520 [doi]
• Adversarial-Learned Loss for Domain AdaptationMinghao Chen 0001, Shuai Zhao 0006, Haifeng Liu, Deng Cai. 3521-3528 [doi]
• Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic ForecastingWeiqi Chen, Ling Chen, Yu Xie, Wei Cao, Yusong Gao, Xiaojie Feng. 3529-3536 [doi]
• AutoDAL: Distributed Active Learning with Automatic Hyperparameter SelectionXu Chen, Brett Wujek. 3537-3544 [doi]
• Optimal Attack against Autoregressive Models by Manipulating the EnvironmentYiding Chen, Xiaojin Zhu 0001. 3545-3552 [doi]
• Multi-View Partial Multi-Label Learning with Graph-Based DisambiguationZe-Sen Chen, Xuan Wu, Qing-Guo Chen, Yao Hu, Min-Ling Zhang. 3553-3560 [doi]
• Compressed Self-Attention for Deep Metric LearningZiye Chen, Mingming Gong, Yanwu Xu, Chaohui Wang, Kun Zhang, Bo Du. 3561-3568 [doi]
• Semi-Supervised Learning under Class Distribution MismatchYanbei Chen, Xiatian Zhu, Wei Li, Shaogang Gong. 3569-3576 [doi]
• InstaNAS: Instance-Aware Neural Architecture SearchAn-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei 0025, Min Sun. 3577-3584 [doi]
• Distilling Portable Generative Adversarial Networks for Image TranslationHanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu 0006, Chang Xu 0002. 3585-3592 [doi]
• Towards Better Forecasting by Fusing Near and Distant Future VisionsJiezhu Cheng, Kaizhu Huang, Zibin Zheng. 3593-3600 [doi]
• Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial ExamplesMinhao Cheng, Jinfeng Yi, Pin-Yu Chen, Huan Zhang, Cho-Jui Hsieh. 3601-3608 [doi]
• Adaptive Factorization Network: Learning Adaptive-Order Feature InteractionsWeiyu Cheng, Yanyan Shen, Linpeng Huang. 3609-3616 [doi]
• Time2Graph: Revisiting Time Series Modeling with Dynamic ShapeletsZiqiang Cheng, Yang Yang 0009, Wei Wang 0059, Wenjie Hu, Yueting Zhuang, Guojie Song. 3617-3624 [doi]
• Suspicion-Free Adversarial Attacks on Clustering AlgorithmsAnshuman Chhabra, Abhishek Roy, Prasant Mohapatra. 3625-3632 [doi]
• A General Approach to Fairness with Optimal TransportSilvia Chiappa, Ray Jiang, Tom Stepleton, Aldo Pacchiano, Heinrich Jiang, John Aslanides. 3633-3640 [doi]
• Active Learning in the Geometric Block ModelEli Chien, Antonia Maria Tulino, Jaime Llorca. 3641-3648 [doi]
• Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for HealthcareIngyo Chung, Saehoon Kim, Juho Lee, Kwang joon Kim, Sung Ju Hwang, Eunho Yang. 3649-3657 [doi]
• A Constraint-Based Approach to Learning and ExplanationGabriele Ciravegna, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori. 3658-3665 [doi]
• Representing Closed Transformation Paths in Encoded Network Latent SpaceMarissa Connor, Christopher Rozell. 3666-3675 [doi]
• Forgetting to Learn Logic ProgramsAndrew Cropper. 3676-3683 [doi]
• Exploiting Spatial Invariance for Scalable Unsupervised Object TrackingEric Crawford, Joelle Pineau. 3684-3692 [doi]
• Label Error Correction and Generation through Label RelationshipsZijun Cui, Yong Zhang, Qiang Ji. 3693-3700 [doi]
• A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time BoundGal Dalal, Balázs Szörényi, Gugan Thoppe. 3701-3708 [doi]
• Explainable Data DecompositionsSebastian Dalleiger, Jilles Vreeken. 3709-3716 [doi]
• A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency ScenarioMonidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong. 3717-3724 [doi]
• DNNs as Layers of Cooperating ClassifiersMarelie H. Davel, Marthinus W. Theunissen, Arnold M. Pretorius, Etienne Barnard. 3725-3732 [doi]
• Making Existing Clusterings Fairer: Algorithms, Complexity Results and InsightsIan Davidson, S. S. Ravi. 3733-3740 [doi]
• Fixed-Horizon Temporal Difference Methods for Stable Reinforcement LearningKristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves. 3741-3748 [doi]
• Capsule Routing via Variational BayesFabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias. 3749-3756 [doi]
• System Identification with Time-Aware Neural Sequence ModelsThomas Demeester. 3757-3764 [doi]
• Reinforcing Neural Network Stability with Attractor DynamicsHanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan. 3765-3772 [doi]
• Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search FrameworkAryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern. 3773-3780 [doi]
• Integrating Overlapping Datasets Using Bivariate Causal DiscoveryAnish Dhir, Ciarán M. Lee. 3781-3790 [doi]
• Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian LearningDaizong Ding, Mi Zhang, Xudong Pan, Min Yang 0002, Xiangnan He 0001. 3791-3800 [doi]
• Gradient-Aware Model-Based Policy SearchPierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli. 3801-3808 [doi]
• Fairness in Network Representation by Latent Structural Heterogeneity in Observational DataXin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy. 3809-3816 [doi]
• On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep LearningAritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho 0001, Atal Narayan Sahu, Marco Canini, Panos Kalnis. 3817-3824 [doi]
• An Information-Theoretic Quantification of Discrimination with Exempt FeaturesSanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover. 3825-3833 [doi]
• Unsupervised Metric Learning with Synthetic ExamplesUjjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar. 3834-3841 [doi]
• Polynomial Matrix Completion for Missing Data Imputation and Transductive LearningJicong Fan, Yuqian Zhang, Madeleine Udell. 3842-3849 [doi]
• Distributionally Robust Counterfactual Risk MinimizationLouis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile. 3850-3857 [doi]
• Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable RobustnessHuijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning. 3858-3865 [doi]
• Privacy-Preserving Gaussian Process Regression - A Modular Approach to the Application of Homomorphic EncryptionPeter Fenner, Edward Pyzer-Knapp. 3866-3873 [doi]
• Learning Triple Embeddings from Knowledge GraphsValeria Fionda, Giuseppe Pirrò. 3874-3881 [doi]
• Training Decision Trees as Replacement for Convolution LayersWolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci. 3882-3889 [doi]
• Induction of Subgoal Automata for Reinforcement LearningDaniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson. 3890-3897 [doi]
• Fast and Deep Graph Neural NetworksClaudio Gallicchio, Alessio Micheli. 3898-3905 [doi]
• On the Parameterized Complexity of Clustering Incomplete Data into Subspaces of Small RankRobert Ganian, Iyad Kanj, Sebastian Ordyniak, Stefan Szeider. 3906-3913 [doi]
• Adaptive Convolutional ReLUsHongyang Gao, Lei Cai, Shuiwang Ji. 3914-3921 [doi]
• Infinity Learning: Learning Markov Chains from Aggregate Steady-State ObservationsJianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro 0001. 3922-3929 [doi]
• Tensor-SVD Based Graph Learning for Multi-View Subspace ClusteringQuanxue Gao, Wei Xia, Zhizhen Wan, De-Yan Xie, Pu Zhang. 3930-3937 [doi]
• Cross-Modal Subspace Clustering via Deep Canonical Correlation AnalysisQuanxue Gao, Huanhuan Lian, Qianqian Wang, Gan Sun. 3938-3945 [doi]
• A Multi-Channel Neural Graphical Event Model with Negative EvidenceTian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei. 3946-3953 [doi]
• Revisiting Bilinear Pooling: A Coding PerspectiveZhi Gao, Yuwei Wu, Xiaoxun Zhang, Jindou Dai, Yunde Jia, Mehrtash Harandi. 3954-3961 [doi]
• Improved Algorithms for Conservative Exploration in BanditsEvrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta. 3962-3969 [doi]
• Modeling Dialogues with Hashcode Representations: A Nonparametric ApproachSahil Garg, Irina Rish, Guillermo A. Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan. 3970-3979 [doi]
• Reinforcement Learning with Non-Markovian RewardsMaor Gaon, Ronen I. Brafman. 3980-3987 [doi]
• Diachronic Embedding for Temporal Knowledge Graph CompletionRishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, Pascal Poupart. 3988-3995 [doi]
• Adversarially Robust DistillationMicah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein. 3996-4003 [doi]
• Robust Gradient-Based Markov SubsamplingTieliang Gong, Quanhan Xi, Chen Xu. 4004-4011 [doi]
• Online Metric Learning for Multi-Label ClassificationXiuwen Gong, Dong Yuan, Wei Bao. 4012-4019 [doi]
• Potential Passenger Flow Prediction: A Novel Study for Urban Transportation DevelopmentYongshun Gong, Zhibin Li, Jian Zhang 0002, Wei Liu 0007, Jinfeng Yi. 4020-4027 [doi]
• AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing FlowsAditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon. 4028-4035 [doi]
• Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial AttackZiwei Guan, Kaiyi Ji, Donald J. Bucci Jr., Timothy Y. Hu, Joseph Palombo, Michael Liston, Yingbin Liang. 4036-4043 [doi]
• Nonlinear Mixup: Out-Of-Manifold Data Augmentation for Text ClassificationHongyu Guo. 4044-4051 [doi]
• IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User ExperienceLan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yu-Feng Li, Nan Ma, Xiao-Hu Qie. 4052-4059 [doi]
• AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer LearningYunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing. 4060-4066 [doi]
• High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for SegmentationMohammad Hamghalam, Baiying Lei, Tianfu Wang. 4067-4074 [doi]
• Robust Federated Learning via Collaborative Machine TeachingYufei Han, Xiangliang Zhang 0001. 4075-4082 [doi]
• Interpretable and Differentially Private PredictionsFrederik Harder, Matthias Bauer, Mijung Park. 4083-4090 [doi]
• SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based QuantisationTao He, Lianli Gao, Jingkuan Song, Xin Wang, Kejie Huang, Yuanfang Li. 4091-4098 [doi]
• SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based QuantisationTao He, Lianli Gao, Jingkuan Song, Xin Wang, Kejie Huang, Yuanfang Li. 4091-4098 [doi]
• Heterogeneous Transfer Learning with Weighted Instance-Correspondence DataYuwei He, Xiaoming Jin, Guiguang Ding, Yuchen Guo, Jungong Han, Jiyong Zhang, Sicheng Zhao. 4099-4106 [doi]
• EPOC: Efficient Perception via Optimal CommunicationMasoumeh Heidari Kapourchali, Bonny Banerjee. 4107-4114 [doi]
• Eigenvalue Normalized Recurrent Neural Networks for Short Term MemoryKyle Helfrich, Qiang Ye 0003. 4115-4122 [doi]
• Reasoning on Knowledge Graphs with Debate DynamicsMarcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp. 4123-4131 [doi]
• An Attention-Based Graph Neural Network for Heterogeneous Structural LearningHuiting Hong, Hantao Guo, Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye. 4132-4139 [doi]
• End-to-End Unpaired Image Denoising with Conditional Adversarial NetworksZhiwei Hong, Xiaocheng Fan, Tao Jiang 0001, Jianxing Feng. 4140-4149 [doi]
• TellTail: Fast Scoring and Detection of Dense SubgraphsBryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos. 4150-4157 [doi]
• Query-Driven Multi-Instance LearningYen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee, Tyng-Luh Liu. 4158-4165 [doi]
• Towards Interpretation of Pairwise LearningMengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang. 4166-4173 [doi]
• DWM: A Decomposable Winograd Method for Convolution AccelerationDi Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen. 4174-4181 [doi]
• Unsupervised Nonlinear Feature Selection from High-Dimensional Signed NetworksQiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang. 4182-4189 [doi]
• Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural NetworksRanran Huang, Hanbo Sun, Ji Liu, Lu Tian, Li Wang, Yi Shan, Yu Wang. 4190-4197 [doi]
• Meta-Learning PAC-Bayes Priors in Model AveragingYimin Huang, Weiran Huang 0001, Liang Li, Zhenguo Li. 4198-4205 [doi]
• DIANet: Dense-and-Implicit Attention NetworkZhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang. 4206-4214 [doi]
• Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised LearningBinyuan Hui, Pengfei Zhu, Qinghua Hu. 4215-4222 [doi]
• Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug LocalizationXuan Huo, Ming Li, Zhi-Hua Zhou. 4223-4230 [doi]
• Word-Level Contextual Sentiment Analysis with InterpretabilityTomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi. 4231-4238 [doi]
• Semi-Supervised Learning for Maximizing the Partial AUCTomoharu Iwata, Akinori Fujino, Naonori Ueda. 4239-4246 [doi]
• Co-Occurrence Estimation from Aggregated Data with Auxiliary InformationTomoharu Iwata, Naoki Marumo. 4247-4254 [doi]
• Class Prior Estimation with Biased Positives and Unlabeled ExamplesShantanu Jain, Justin Delano, Himanshu Sharma, Predrag Radivojac. 4255-4263 [doi]
• Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep EnsemblesSiddhartha Jain, Ge Liu, Jonas Mueller, David Gifford 0001. 4264-4271 [doi]
• Invariant Representations through Adversarial ForgettingAyush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan. 4272-4279 [doi]
• Bounding Regret in Empirical GamesSteven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh. 4280-4287 [doi]
• An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural NetworksGiyoung Jeon, Haedong Jeong, Jaesik Choi. 4288-4295 [doi]
• DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial NetsYonghyun Jeong, Hyunjin Choi, Byoungjip Kim, Youngjune Gwon. 4296-4303 [doi]
• Sequential Recommendation with Relation-Aware Kernelized Self-AttentionMingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon. 4304-4311 [doi]
• Maximum Margin Multi-Dimensional ClassificationBin-Bin Jia, Min-Ling Zhang. 4312-4319 [doi]
• Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain DataSonglei Jian, Liang Hu 0004, Longbing Cao, Kai Lu. 4320-4327 [doi]
• Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive FictionVishal Jain, William Fedus, Hugo Larochelle, Doina Precup, Marc G. Bellemare. 4328-4336 [doi]
• Generative Exploration and ExploitationJiechuan Jiang, Zongqing Lu. 4337-4344 [doi]
• Long Short-Term Sample DistillationLiang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li 0007, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi 0001. 4345-4352 [doi]
• Rank Aggregation via Heterogeneous Thurstone Preference ModelsTao Jin, Pan Xu 0002, Quanquan Gu, Farzad Farnoud. 4353-4360 [doi]
• GraLSP: Graph Neural Networks with Local Structural PatternsYilun Jin, Guojie Song, Chuan Shi. 4361-4368 [doi]
• Dynamic Instance Normalization for Arbitrary Style TransferYongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen. 4369-4376 [doi]
• InvNet: Encoding Geometric and Statistical Invariances in Deep Generative ModelsAmeya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde. 4377-4384 [doi]
• More Accurate Learning of k-DNF Reference ClassesBrendan Juba, Hengxuan Li. 4385-4393 [doi]
• Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural NetworksSekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi. 4394-4403 [doi]
• Towards Oracle Knowledge Distillation with Neural Architecture SearchMinsoo Kang, Jonghwan Mun, Bohyung Han. 4404-4411 [doi]
• Large-Scale Multi-View Subspace Clustering in Linear TimeZhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu. 4412-4419 [doi]
• Nonlinear System Identification via Tensor CompletionNikos Kargas, Nicholas D. Sidiropoulos. 4420-4427 [doi]
• Gradient Boosts the Approximate Vanishing IdealHiroshi Kera, Yoshihiko Hasegawa. 4428-4435 [doi]
• Being Optimistic to Be Conservative: Quickly Learning a CVaR PolicyRamtin Keramati, Christoph Dann, Alex Tamkin, Emma Brunskill. 4436-4443 [doi]
• Options of Interest: Temporal Abstraction with Interest FunctionsKhimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup. 4444-4451 [doi]
• Plug-in, Trainable Gate for Streamlining Arbitrary Neural NetworksJaedeok Kim, Chiyoun Park, Hyun-Joo Jung, Yoonsuck Choe. 4452-4459 [doi]
• A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse DomainsHarsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan. 4460-4468 [doi]
• Learning Student Networks with Few DataShumin Kong, Tianyu Guo, Shan You, Chang Xu 0002. 4469-4476 [doi]
• Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical BayesRanganath Krishnan, Mahesh Subedar, Omesh Tickoo. 4477-4484 [doi]
• Stable Prediction with Model Misspecification and Agnostic Distribution ShiftKun Kuang, Ruoxuan Xiong, Peng Cui 0001, Susan Athey, Bo Li 0064. 4485-4492 [doi]
• Learning MAX-SAT from Contextual Examples for Combinatorial OptimisationMohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt. 4493-4500 [doi]
• Google Research Football: A Novel Reinforcement Learning EnvironmentKarol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly. 4501-4510 [doi]
• Correcting Predictions for Approximate Bayesian InferenceTomasz Kusmierczyk, Joseph Sakaya, Arto Klami. 4511-4518 [doi]
• Improved Subsampled Randomized Hadamard Transform for Linear SVMZijian Lei, Liang Lan. 4519-4526 [doi]
• A Simple and Efficient Tensor CalculusSören Laue, Matthias Mitterreiter, Joachim Giesen. 4527-4534 [doi]
• Proximity Preserving Binary Code Using Signed Graph-CutInbal Lavi, Shai Avidan, Yoram Singer, Yacov Hel-Or. 4535-4544 [doi]
• Residual Neural ProcessesByung Jun Lee, Seunghoon Hong, Kee-Eung Kim. 4545-4552 [doi]
• Residual Continual LearningJanghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim. 4553-4560 [doi]
• Monte-Carlo Tree Search in Continuous Action Spaces with Value GradientsJongmin Lee, Wonseok Jeon, Geon-hyeong Kim, Kee-Eung Kim. 4561-4568 [doi]
• URNet: User-Resizable Residual Networks with Conditional Gating ModuleSang Ho Lee, Simyung Chang, Nojun Kwak. 4569-4576 [doi]
• Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning AgentsXian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar. 4577-4584 [doi]
• Robustness Certificates for Sparse Adversarial Attacks by Randomized AblationAlexander Levine, Soheil Feizi. 4585-4593 [doi]
• Stochastically Robust Personalized Ranking for LSH Recommendation RetrievalDung D. Le, Hady W. Lauw. 4594-4601 [doi]
• Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under ReshufflingChao Li, Mohammad Emtiyaz Khan, Zhun Sun, Gang Niu, Bo Han 0003, Shengli Xie, Qibin Zhao. 4602-4609 [doi]
• Infrared-Visible Cross-Modal Person Re-Identification with an X ModalityDiangang Li, Xing Wei, Xiaopeng Hong, Yihong Gong. 4610-4617 [doi]
• Automated Spectral Kernel LearningJian Li, Yong Liu, Weiping Wang. 4618-4625 [doi]
• Graph Attention Based Proposal 3D ConvNets for Action DetectionJin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang,