Table of Contents

• Algorithms for Trip-Vehicle Assignment in Ride-SharingXiaohui Bei, Shengyu Zhang. 3-9 [doi]
• EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial ExamplesPin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh. 10-17 [doi]
• Learning Differences Between Visual Scanning Patterns Can Disambiguate Bipolar and Unipolar PatientsJonathan Chung, Moshe Eizenman, Uros Rakita, Roger McIntyre, Peter Giacobbe. 18-25 [doi]
• Comparing Population Means Under Local Differential Privacy: With Significance and PowerBolin Ding, Harsha Nori, Paul Li, Joshua Allen. 26-33 [doi]
• MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and AccompanimentHao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, Yi-Hsuan Yang. 34-41 [doi]
• Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and AuthenticationAhmed Elgammal, Yan Kang, Milko Den Leeuw. 42-50 [doi]
• Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair LearningNina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller. 51-60 [doi]
• Distributed Composite QuantizationWeixiang Hong, Jingjing Meng, Junsong Yuan. 61-68 [doi]
• Tensorized Projection for High-Dimensional Binary EmbeddingWeixiang Hong, Jingjing Meng, Junsong Yuan. 69-76 [doi]
• Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon DivergenceXin Jin, Le Wu, Xiaodong Li, Siyu Chen, Siwei Peng, Jingying Chi, Shiming Ge, Chenggen Song, Geng Zhao. 77-84 [doi]
• Norm Conflict Resolution in Stochastic DomainsDaniel Kasenberg, Matthias Scheutz. 85-92 [doi]
• Deep Representation-Decoupling Neural Networks for Monaural Music Mixture SeparationZhuo Li, Hongwei Wang, Miao Zhao, Wenjie Li, Minyi Guo. 93-100 [doi]
• Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis ApproachBin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng. 101-108 [doi]
• Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint PredictionLuchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang. 109-116 [doi]
• Multi-View Multi-Graph Embedding for Brain Network Clustering AnalysisYe Liu, Lifang He 0001, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow. 117-124 [doi]
• Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed DataJian Lou, Yiu-ming Cheung. 125-133 [doi]
• Learning the Probability of Activation in the Presence of Latent SpreadersMaggie Makar, John V. Guttag, Jenna Wiens. 134-141 [doi]
• Generating an Event Timeline About Daily Activities From a Semantic Concept StreamTaiki Miyanishi, Junichiro Hirayama, Takuya Maekawa, Motoaki Kawanabe. 142-150 [doi]
• On Organizing Online Soirees with Live Multi-StreamingChih-Ya Shen, C. P. Kankeu Fotsing, De-Nian Yang, Yi-Shin Chen, Wang-Chien Lee. 151-159 [doi]
• An AI Planning Solution to Scenario Generation for Enterprise Risk ManagementShirin Sohrabi, Anton V. Riabov, Michael Katz 0001, Octavian Udrea. 160-167 [doi]
• Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour FragmentsYouyi Song, Jing Qin, Baiying Lei, Kup-Sze Choi. 168-175 [doi]
• When Social Advertising Meets Viral Marketing: Sequencing Social Advertisements for Influence MaximizationShaoJie Tang. 176-183 [doi]
• Synthesis of Programs from Multimodal DatasetsShantanu Thakoor, Simoni Shah, Ganesh Ramakrishnan, Amitabha Sanyal. 184-191 [doi]
• CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident RecognitionJingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie 0001, Zhang Xiong. 192-199 [doi]
• Geographic Differential Privacy for Mobile Crowd Coverage MaximizationLeye Wang, Gehua Qin, Dingqi Yang, Xiao Han, Xiaojuan Ma. 200-207 [doi]
• Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International WatersXinrun Wang, Bo An, Martin Strobel, Fookwai Kong. 208-215 [doi]
• Video Summarization via Semantic Attended NetworksHuawei Wei, Bingbing Ni, Yichao Yan, Huanyu Yu, Xiaokang Yang, Chen Yao. 216-223 [doi]
• TIMERS: Error-Bounded SVD Restart on Dynamic NetworksZiwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu 0001. 224-231 [doi]
• Ranking Users in Social Networks With Higher-Order StructuresHuan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao. 232-240 [doi]
• Mitigating Overexposure in Viral MarketingRediet Abebe, Lada A. Adamic, Jon M. Kleinberg. 241-248 [doi]
• Neural Link Prediction over Aligned NetworksXuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu. 249-256 [doi]
• Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix FactorizationChaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li. 257-264 [doi]
• CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence SimilarityQin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He. 265-273 [doi]
• Dual Deep Neural Networks Cross-Modal HashingZhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie, Xin-Shun Xu. 274-281 [doi]
• Representation Learning for Scale-Free NetworksRui Feng, Yang Yang 0009, Wenjie Hu, Fei Wu 0001, Yueting Zhang. 282-289 [doi]
• VSE-ens: Visual-Semantic Embeddings with Efficient Negative SamplingGuibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang. 290-297 [doi]
• Partial Multi-View Outlier Detection Based on Collective LearningJun Guo, Wenwu Zhu 0001. 298-305 [doi]
• A Network-Specific Markov Random Field Approach to Community DetectionDongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang. 306-313 [doi]
• Robust Detection of Link Communities in Large Social Networks by Exploiting Link SemanticsDi Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang. 314-321 [doi]
• On Validation and Predictability of Digital Badges' Influence on Individual UsersTomasz Kusmierczyk, Kjetil Nørvåg. 322-329 [doi]
• FILE: A Novel Framework for Predicting Social Status in Signed NetworksXiaoming Li, Hui Fang, Jie Zhang. 330-337 [doi]
• Community Detection in Attributed Graphs: An Embedding ApproachYe Li, Chaofeng Sha, Xin Huang, Yanchun Zhang. 338-345 [doi]
• Social Recommendation with an Essential Preference SpaceChun-Yi Liu, Chuan Zhou, Jia Wu, Yue Hu, Li Guo. 346-353 [doi]
• Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional NetworksYang Liu, Yi-fang Brook Wu. 354-361 [doi]
• Cross-Lingual Entity Linking for Web TablesXusheng Luo, Kangqi Luo, Xianyang Chen, Kenny Q. Zhu. 362-369 [doi]
• DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic NetworksJianxin Ma, Peng Cui, Wenwu Zhu 0001. 370-377 [doi]
• Listening to the World Improves Speech Command RecognitionBrian McMahan, Delip Rao. 378-385 [doi]
• Location-Sensitive User Profiling Using Crowdsourced LabelsWei Niu, James Caverlee, Haokai Lu. 386-393 [doi]
• Binary Generative Adversarial Networks for Image RetrievalJingkuan Song, Tao He, Lianli Gao, Xing Xu, Alan Hanjalic, Heng Tao Shen. 394-401 [doi]
• Deep Region Hashing for Generic Instance Search from ImagesJingkuan Song, Tao He, Lianli Gao, Xing Xu, Heng Tao Shen. 402-409 [doi]
• Improved English to Russian Translation by Neural Suffix PredictionKai Song, Yue Zhang, Min Zhang, Weihua Luo. 410-417 [doi]
• Towards Efficient Detection of Overlapping Communities in Massive NetworksBing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng. 418-425 [doi]
• Structural Deep Embedding for Hyper-NetworksKe Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu 0001. 426-433 [doi]
• Confidence-Aware Matrix Factorization for Recommender SystemsChao Wang, Qi Liu, Run-ze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang. 434-442 [doi]
• Deep Asymmetric Transfer Network for Unbalanced Domain AdaptationDaixin Wang, Peng Cui, Wenwu Zhu 0001. 443-450 [doi]
• A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log DataJingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan. 451-458 [doi]
• Personalized Time-Aware Tag RecommendationKeqiang Wang, Yuanyuan Jin, Haofen Wang, Hongwei Peng, Xiaoling Wang. 459-466 [doi]
• Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender SystemsYu Wang, Jixing Xu, Aohan Wu, Mantian Li, Yang He, Jinghe Hu, Weipeng P. Yan. 467-474 [doi]
• RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network EmbeddingZheng Wang, Xiaojun Ye, Chaokun Wang, Yuexin Wu, Changping Wang, Kaiwen Liang. 475-482 [doi]
• Contrastive Training for Models of Information CascadesShaobin Xu, David A. Smith. 483-490 [doi]
• Retrieving and Classifying Affective Images via Deep Metric LearningJufeng Yang, Dongyu She, Yu-Kun Lai, Ming-Hsuan Yang 0001. 491-498 [doi]
• Multi-Facet Network Embedding: Beyond the General Solution of Detection and RepresentationLiang Yang 0002, Yuanfang Guo, Xiaochun Cao. 499-506 [doi]
• Urban Dreams of Migrants: A Case Study of Migrant Integration in ShanghaiYang Yang, Chenhao Tan, Zongtao Liu, Fei Wu 0001, Yueting Zhuang. 507-514 [doi]
• From Common to Special: When Multi-Attribute Learning Meets Personalized OpinionsZhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang. 515-522 [doi]
• Discovering and Distinguishing Multiple Visual Senses for Polysemous WordsYazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Pu Huang, Zhenmin Tang. 523-530 [doi]
• Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding ApproachChao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han 0001. 531-538 [doi]
• Unsupervised Generative Adversarial Cross-Modal HashingJian Zhang, Yuxin Peng, Mingkuan Yuan. 539-546 [doi]
• Exploring Implicit Feedback for Open Domain Conversation GenerationWeinan Zhang, Lingzhi Li, Dongyan Cao, Ting Liu. 547-554 [doi]
• Joint Training for Neural Machine Translation Models with Monolingual DataZhirui Zhang, Shujie Liu 0001, Mu Li, Ming Zhou, Enhong Chen. 555-562 [doi]
• Attention-via-Attention Neural Machine TranslationShenjian Zhao, Zhihua Zhang. 563-570 [doi]
• Dynamic Network Embedding by Modeling Triadic Closure ProcessLe-kui Zhou, Yang Yang, Xiang Ren, Fei Wu 0001, Yueting Zhuang. 571-578 [doi]
• Inferring Emotion from Conversational Voice Data: A Semi-Supervised Multi-Path Generative Neural Network ApproachSuping Zhou, Jia Jia 0001, Qi Wang, Yufei Dong, Yufeng Yin, Kehua Lei. 579-587 [doi]
• Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity RulesAlireza Alemi, Christian K. Machens, Sophie Denève, Jean-Jacques E. Slotine. 588-595 [doi]
• Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service RobotsS. Hamidreza Kasaei, Juil Sock, Luís Seabra Lopes, Ana Maria Tomé, Tae-Kyun Kim. 596-603 [doi]
• A Unified Model for Document-Based Question Answering Based on Human-Like Reading StrategyWeikang Li, Wei Li, Yunfang Wu. 604-611 [doi]
• Thinking in PolAR Pictures: Using Rotation-Friendly Mental Images to Solve Leiter-R Form CompletionJoshua H. Palmer, Maithilee Kunda. 612-619 [doi]
• A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural NetworksTielin Zhang, Yi Zeng 0001, Dongcheng Zhao, Mengting Shi. 620-628 [doi]
• Explicit Reasoning over End-to-End Neural Architectures for Visual Question AnsweringSomak Aditya, Yezhou Yang, Chitta Baral. 629-637 [doi]
• Action Recognition From Skeleton Data via Analogical Generalization Over Qualitative RepresentationsKezhen Chen, Kenneth D. Forbus. 638-645 [doi]
• Glass-Box Program Synthesis: A Machine Learning ApproachKonstantina Christakopoulou, Adam Tauman Kalai. 646-653 [doi]
• Learning From Unannotated QA Pairs to Analogically Disambiguate and Answer QuestionsMaxwell Crouse, Clifton James McFate, Kenneth D. Forbus. 654-662 [doi]
• Style Transfer in Text: Exploration and EvaluationZhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, Rui Yan. 663-670 [doi]
• HAN: Hierarchical Association Network for Computing Semantic RelatednessXiaolong Gong, Hao Xu, Linpeng Huang. 671-678 [doi]
• Maximizing Activity in Ising Networks via the TAP ApproximationChristopher W. Lynn, Daniel D. Lee. 679-686 [doi]
• Expected Utility with Relative Loss Reduction: A Unifying Decision Model for Resolving Four Well-Known ParadoxesWenjun Ma, Yuncheng Jiang, Weiru Liu, Xudong Luo, Kevin McAreavey. 687-695 [doi]
• Towards Building Large Scale Multimodal Domain-Aware Conversation SystemsAmrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan. 696-704 [doi]
• Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge GraphAmrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar. 705-713 [doi]
• The Structural Affinity Method for Solving the Raven's Progressive Matrices Test for IntelligenceSnejana Shegheva, Ashok Goel. 714-721 [doi]
• RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog SystemsChongyang Tao, Lili Mou, Dongyan Zhao, Rui Yan. 722-729 [doi]
• Emotional Chatting Machine: Emotional Conversation Generation with Internal and External MemoryHao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu. 730-739 [doi]
• Transferring Decomposed Tensors for Scalable Energy Breakdown Across RegionsNipun Batra 0001, Yiling Jia, Hongning Wang, Kamin Whitehouse. 740-747 [doi]
• Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey NetworksJohan Bjorck, Yiwei Bai, XiaoJian Wu, Yexiang Xue, Mark C. Whitmore, Carla P. Gomes. 748-756 [doi]
• DyETC: Dynamic Electronic Toll Collection for Traffic Congestion AlleviationHaipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, Yeng Chai Soh. 757-765 [doi]
• Cellular Network Traffic Scheduling With Deep Reinforcement LearningSandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti. 766-774 [doi]
• Dispatch Guided Allocation Optimization for Effective Emergency ResponseSupriyo Ghosh, Pradeep Varakantham. 775-783 [doi]
• DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility PredictionRenhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, Ryosuke Shibasaki. 784-791 [doi]
• Variational BOLT: Approximate Learning in Factorial Hidden Markov Models With Application to Energy DisaggregationHenning Lange, Mario Berges. 792-799 [doi]
• Group Sparse Bayesian Learning for Active Surveillance on Epidemic DynamicsHongbin Pei, Bo Yang, Jiming Liu 0001, Lei Dong. 800-807 [doi]
• Predicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models With Implicit FeedbackEugene Seo, Rebecca A. Hutchinson. 808-815 [doi]
• Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator DesignZhourui Song, Zhenyu Liu 0001, Dongsheng Wang. 816-823 [doi]
• Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-EncoderLuming Tang, Yexiang Xue, Di Chen, Carla P. Gomes. 824-832 [doi]
• Optimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading SystemsWanyuan Wang, Bo An, Yichuan Jiang. 833-840 [doi]
• Preventing Infectious Disease in Dynamic Populations Under UncertaintyBryan Wilder, Sze-Chuan Suen, Milind Tambe. 841-848 [doi]
• Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon BasinXiaoJian Wu, Jonathan Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt Garcia-Villacorta, Elizabeth Anderson, Suresh Sethi, Scott Steinschneider, Alexander Flecker, Carla P. Gomes. 849-859 [doi]
• Minesweeper with Limited MovesSerge Gaspers, Stefan Rümmele, Abdallah Saffidine, Kevin Tran. 860-867 [doi]
• Event Representations for Automated Story Generation with Deep Neural NetsLara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl. 868-875 [doi]
• Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time GamesRubens O. Moraes, Levi H. S. Lelis. 876-883 [doi]
• PVL: A Framework for Navigating the Precision-Variety Trade-Off in Automated Animation of SmilesNicholas Sohre, Moses Adeagbo, Nathaniel Helwig, Sofia Lyford-Pike, Stephen J. Guy. 884-893 [doi]
• Utilitarians Without Utilities: Maximizing Social Welfare for Graph Problems Using Only Ordinal PreferencesBen Abramowitz, Elliot Anshelevich. 894-901 [doi]
• On the Complexity of Extended and Proportional Justified RepresentationHaris Aziz 0001, Edith Elkind, Shenwei Huang, Martin Lackner, Luis Sánchez Fernández, Piotr Skowron. 902-909 [doi]
• Rank Maximal Equal Contribution: A Probabilistic Social Choice FunctionHaris Aziz 0001, Pang Luo, Christine Rizkallah. 910-916 [doi]
• Groupwise Maximin Fair Allocation of Indivisible GoodsSiddharth Barman, Arpita Biswas, Sanath Kumar Krishna Murthy, Yadati Narahari. 917-924 [doi]
• Truthful and Near-Optimal Mechanisms for Welfare Maximization in Multi-Winner ElectionsUmang Bhaskar, Varsha Dani, Abheek Ghosh. 925-932 [doi]
• Multiwinner Elections With Diversity ConstraintsRobert Bredereck, Piotr Faliszewski, Ayumi Igarashi, Martin Lackner, Piotr Skowron. 933-940 [doi]
• A Bayesian Clearing Mechanism for Combinatorial AuctionsGianluca Brero, Sébastien Lahaie. 941-948 [doi]
• AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information GamesNeil Burch, Martin Schmid, Matej Moravcik, Dustin Morrill, Michael Bowling. 949-956 [doi]
• Reinforcement Mechanism Design for Fraudulent Behaviour in e-CommerceQingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang, YiWei Zhang. 957-964 [doi]
• Computational Results for Extensive-Form Adversarial Team GamesAndrea Celli, Nicola Gatti 0001. 965-972 [doi]
• On the Distortion of Voting With Multiple Representative CandidatesYu Cheng 0002, Shaddin Dughmi, David Kempe 0001. 973-980 [doi]
• Disarmament Games With ResourceYuan Deng, Vincent Conitzer. 981-988 [doi]
• Computing the Strategy to Commit to in Polymatrix GamesGiuseppe De Nittis, Alberto Marchesi, Nicola Gatti 0001. 989-996 [doi]
• Resource Allocation Polytope Games: Uniqueness of Equilibrium, Price of Stability, and Price of AnarchySwapnil Dhamal, Walid Ben-Ameur, Tijani Chahed, Eitan Altman. 997-1006 [doi]
• Allocation Problems in Ride-Sharing Platforms: Online Matching With Offline Reusable ResourcesJohn P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu. 1007-1014 [doi]
• Tool AuctionsJanosch Döcker, Britta Dorn, Ulle Endriss, Ronald de Haan, Sebastian Schneckenburger. 1015-1022 [doi]
• Effective Heuristics for Committee Scoring RulesPiotr Faliszewski, Martin Lackner, Dominik Peters, Nimrod Talmon. 1023-1030 [doi]
• On Social Envy-Freeness in Multi-Unit MarketsMichele Flammini, Manuel Mauro, Matteo Tonelli. 1031-1038 [doi]
• Facility Location Games With Fractional PreferencesChi Kit Ken Fong, Minming Li, Pinyan Lu, Taiki Todo, Makoto Yokoo. 1039-1046 [doi]
• The Complexity of Bribery in Network-Based Rating SystemsUmberto Grandi, James Stewart, Paolo Turrini. 1047-1054 [doi]
• Weighted Voting Via No-Regret LearningNika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia. 1055-1062 [doi]
• Cooperative Games With Bounded Dependency DegreeAyumi Igarashi, Rani Izsak, Edith Elkind. 1063-1070 [doi]
• Committee Selection with Intraclass and Interclass SynergiesRani Izsak, Nimrod Talmon, Gerhard J. Woeginger. 1071-1078 [doi]
• On Recognising Nearly Single-Crossing PreferencesFlorian Jaeckle, Dominik Peters, Edith Elkind. 1079-1086 [doi]
• Ranking Wily People Who Rank Each OtherAnson Kahng, Yasmine Kotturi, Chinmay Kulkarni, David Kurokawa, Ariel D. Procaccia. 1087-1094 [doi]
• Liquid Democracy: An Algorithmic PerspectiveAnson Kahng, Simon Mackenzie, Ariel D. Procaccia. 1095-1102 [doi]
• Policy Learning for Continuous Space Security Games Using Neural NetworksNitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe. 1103-1112 [doi]
• Approximately Stable Matchings With Budget ConstraintsYasushi Kawase, Atsushi Iwasaki. 1113-1120 [doi]
• Approximating Bribery in Scoring RulesOrgad Keller, Avinatan Hassidim, Noam Hazon. 1121-1129 [doi]
• Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited LookaheadChristian Kroer, Gabriele Farina, Tuomas Sandholm. 1130-1137 [doi]
• The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible GoodsJing Wu Lian, Nicholas Mattei, Renee Noble, Toby Walsh. 1138-1145 [doi]
• Incentivizing High Quality User Contributions: New Arm Generation in Bandit LearningYang Liu, Chien-Ju Ho. 1146-1153 [doi]
• On the Approximation of Nash Equilibria in Sparse Win-Lose GamesZhengyang Liu, Ying Sheng. 1154-1160 [doi]
• Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney ExchangeDuncan C. McElfresh, John P. Dickerson. 1161-1168 [doi]
• Single-Peakedness and Total Unimodularity: New Polynomial-Time Algorithms for Multi-Winner ElectionsDominik Peters. 1169-1176 [doi]
• Fair Rent Division on a BudgetAriel D. Procaccia, Rodrigo A. Velez, Dingli Yu. 1177-1184 [doi]
• Approximation-Variance Tradeoffs in Facility Location GamesAriel D. Procaccia, David Wajc, Hanrui Zhang. 1185-1192 [doi]
• MUDA: A Truthful Multi-Unit Double-Auction MechanismErel Segal-haLevi, Avinatan Hassidim, Yonatan Aumann. 1193-1201 [doi]
• Traffic Optimization for a Mixture of Self-Interested and Compliant AgentsGuni Sharon, Michael Albert, Tarun Rambha, Stephen D. Boyles, Peter Stone. 1202-1209 [doi]
• Coalition Manipulation of Gale-Shapley AlgorithmWeiran Shen, Pingzhong Tang, Yuan Deng. 1210-1217 [doi]
• Axioms for Distance-Based CentralitiesOskar Skibski, Jadwiga Sosnowska. 1218-1225 [doi]
• Non-Exploitable Protocols for Repeated Cake CuttingOmer Tamuz, Shai Vardi, Juba Ziani. 1226-1233 [doi]
• Modelling Iterative Judgment AggregationZoi Terzopoulou, Ulle Endriss. 1234-1241 [doi]
• Rich Coalitional Resource GamesNicolas Troquard. 1242-1249 [doi]
• It Takes (Only) Two: Adversarial Generator-Encoder NetworksDmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky. 1250-1257 [doi]
• An Axiomatization of the Eigenvector and Katz CentralitiesTomasz Was, Oskar Skibski. 1258-1265 [doi]
• A Regression Approach for Modeling Games With Many Symmetric PlayersBryce Wiedenbeck, Fengjun Yang, Michael P. Wellman. 1266-1273 [doi]
• Equilibrium Computation and Robust Optimization in Zero Sum Games With Submodular StructureBryan Wilder. 1274-1281 [doi]
• Incentive-Compatible Forecasting CompetitionsJens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause 0001. 1282-1289 [doi]
• Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security GamesHaifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe. 1290-1297 [doi]
• Average-Case Approximation Ratio of Scheduling Without PaymentsJie Zhang. 1298-1305 [doi]
• Avoiding Dead Ends in Real-Time Heuristic SearchBence Cserna, William J. Doyle, Jordan S. Ramsdell, Wheeler Ruml. 1306-1313 [doi]
• Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing EnvironmentHiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi. 1314-1321 [doi]
• A Recursive Scenario Decomposition Algorithm for Combinatorial Multistage Stochastic Optimisation ProblemsDavid Hemmi, Guido Tack, Mark Wallace 0001. 1322-1329 [doi]
• Locality Preserving Projection Based on F-normXiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin. 1330-1337 [doi]
• A Two-Stage MaxSAT Reasoning Approach for the Maximum Weight Clique ProblemHua Jiang, Chu Min Li, Yanli Liu, Felip Manyà. 1338-1346 [doi]
• Revisiting Immediate Duplicate Detection in External Memory SearchShunji Lin, Alex Fukunaga. 1347-1354 [doi]
• Warmstarting of Model-Based Algorithm ConfigurationMarius Lindauer, Frank Hutter. 1355-1362 [doi]
• On the Time and Space Complexity of Genetic Programming for Evolving Boolean ConjunctionsAndrei Lissovoi, Pietro Simone Oliveto. 1363-1370 [doi]
• Proximal Alternating Direction Network: A Globally Converged Deep Unrolling FrameworkRisheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang, Zhongxuan Luo. 1371-1378 [doi]
• Streaming Non-Monotone Submodular Maximization: Personalized Video Summarization on the FlyBaharan Mirzasoleiman, Stefanie Jegelka, Andreas Krause 0001. 1379-1386 [doi]
• Exact Clustering via Integer Programming and Maximum SatisfiabilityAtsushi Miyauchi, Tomohiro Sonobe, Noriyoshi Sukegawa. 1387-1394 [doi]
• On Multiset Selection With Size ConstraintsChao Qian, Yibo Zhang, Ke Tang, Xin Yao 0001. 1395-1402 [doi]
• Disjunctive Program Synthesis: A Robust Approach to Programming by ExampleMohammad Raza, Sumit Gulwani. 1403-1412 [doi]
• Accelerated Best-First Search With Upper-Bound Computation for Submodular Function MaximizationShinsaku Sakaue, Masakazu Ishihata. 1413-1421 [doi]
• Submodular Function Maximization Over Graphs via Zero-Suppressed Binary Decision DiagramsShinsaku Sakaue, Masaaki Nishino, Norihito Yasuda. 1422-1430 [doi]
• Counting Linear Extensions in Practice: MCMC Versus Exponential Monte CarloTopi Talvitie, Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto. 1431-1438 [doi]
• Large Scale Constrained Linear Regression Revisited: Faster Algorithms via PreconditioningDi Wang, Jinhui Xu 0001. 1439-1446 [doi]
• Noisy Derivative-Free Optimization With Value SuppressionHong Wang, Hong Qian, Yang Yu. 1447-1454 [doi]
• Memory-Augmented Monte Carlo Tree SearchChenjun Xiao, Jincheng Mei, Martin Müller 0003. 1455-1462 [doi]
• A Coverage-Based Utility Model for Identifying Unknown UnknownsGagan Bansal, Daniel S. Weld. 1463-1470 [doi]
• Toward Deep Reinforcement Learning Without a Simulator: An Autonomous Steering ExampleBar Hilleli, Ran El-Yaniv. 1471-1478 [doi]
• An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler JudgmentsAshish Kulkarni, Narasimha Raju Uppalapati, Pankaj Singh, Ganesh Ramakrishnan. 1479-1486 [doi]
• Interactively Learning a Blend of Goal-Based and Procedural TasksAaron Mininger, John E. Laird. 1487-1494 [doi]
• Emergence of Grounded Compositional Language in Multi-Agent PopulationsIgor Mordatch, Pieter Abbeel. 1495-1502 [doi]
• Human-in-the-Loop SLAMSamer B. Nashed, Joydeep Biswas. 1503-1510 [doi]
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• How AI Wins Friends and Influences People in Repeated Games With Cheap TalkMayada Oudah, Talal Rahwan, Tawna Crandall, Jacob W. Crandall. 1519-1526 [doi]
• Anchors: High-Precision Model-Agnostic ExplanationsMarco Túlio Ribeiro, Sameer Singh 0001, Carlos Guestrin. 1527-1535 [doi]
• Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen ScienceAvi Segal, Kobi Gal, Ece Kamar, Eric Horvitz, Grant Miller. 1536-1544 [doi]
• Deep TAMER: Interactive Agent Shaping in High-Dimensional State SpacesGarrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone. 1545-1554 [doi]
• Semi-Supervised Learning From Crowds Using Deep Generative ModelsKyohei Atarashi, Satoshi Oyama, Masahito Kurihara. 1555-1562 [doi]
• Sentiment Analysis via Deep Hybrid Textual-Crowd Learning ModelKamran Ghasedi Dizaji, Heng Huang. 1563-1570 [doi]
• Understanding Over Participation in Simple ContestsPriel Levy, David Sarne. 1571-1578 [doi]
• Understanding Social Interpersonal Interaction via Synchronization Templates of Facial EventsRui Li, Jared Curhan, Mohammed (Ehsan) Hoque. 1579-1586 [doi]
• A Voting-Based System for Ethical Decision MakingRitesh Noothigattu, Snehalkumar (Neil) S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia. 1587-1594 [doi]
• Partial Truthfulness in Minimal Peer Prediction Mechanisms With Limited KnowledgeGoran Radanovic, Boi Faltings. 1595-1602 [doi]
• Information Gathering With Peers: Submodular Optimization With Peer-Prediction ConstraintsGoran Radanovic, Adish Singla, Andreas Krause 0001, Boi Faltings. 1603-1610 [doi]
• Deep Learning from CrowdsFilipe Rodrigues, Francisco C. Pereira. 1611-1618 [doi]
• AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive ModelingRyusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima. 1619-1626 [doi]
• Adversarial Learning for Chinese NER From Crowd AnnotationsYaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei Zhang, Haofen Wang, Min Zhang. 1627-1635 [doi]
• Adapting a Kidney Exchange Algorithm to Align With Human ValuesRachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer. 1636-1643 [doi]
• State of the Art: Reproducibility in Artificial IntelligenceOdd Erik Gundersen, Sigbjørn Kjensmo. 1644-1651 [doi]
• Towards Imperceptible and Robust Adversarial Example Attacks Against Neural NetworksBo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu. 1652-1659 [doi]
• Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input GradientsAndrew Slavin Ross, Finale Doshi-Velez. 1660-1669 [doi]
• Beyond Sparsity: Tree Regularization of Deep Models for InterpretabilityMike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth 0001, Finale Doshi-Velez. 1670-1678 [doi]
• Coupled Deep Learning for Heterogeneous Face RecognitionXiang Wu, Lingxiao Song, Ran He, Tieniu Tan. 1679-1686 [doi]
• A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning AgentsYueh-Hua Wu, Shou-de Lin. 1687-1694 [doi]
• Deception Detection in VideosZhe Wu, Bharat Singh, Larry S. Davis, V. S. Subrahmanian. 1695-1702 [doi]
• Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer InterfaceDalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah. 1703-1710 [doi]
• WiFi-Based Human Identification via Convex Tensor Shapelet LearningHan Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas J. Spanos. 1711-1719 [doi]
• Externally Supported Models for Efficient Computation of Paracoherent Answer SetsGiovanni Amendola, Carmine Dodaro, Wolfgang Faber 0001, Francesco Ricca. 1720-1727 [doi]
• Combining Rules and Ontologies into Clopen Knowledge BasesLabinot Bajraktari, Magdalena Ortiz, Mantas Simkus. 1728-1735 [doi]
• How Many Properties Do We Need for Gradual Argumentation?Pietro Baroni, Antonio Rago, Francesca Toni. 1736-1743 [doi]
• Situation Calculus Semantics for Actual CausalityVitaliy Batusov, Mikhail Soutchanski. 1744-1752 [doi]
• Complexity of Verification in Incomplete Argumentation FrameworksDorothea Baumeister, Daniel Neugebauer, Jörg Rothe, Hilmar Schadrack. 1753-1760 [doi]
• Goal-Driven Query Answering for Existential Rules With EqualityMichael Benedikt, Boris Motik, Efthymia Tsamoura. 1761-1770 [doi]
• LTLf/LDLf Non-Markovian RewardsRonen I. Brafman, Giuseppe De Giacomo, Fabio Patrizi. 1771-1778 [doi]
• Weighted Abstract Dialectical FrameworksGerhard Brewka, Hannes Strass, Johannes Peter Wallner, Stefan Woltran. 1779-1786 [doi]
• SELF: Structural Equational Likelihood Framework for Causal DiscoveryRuichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao. 1787-1794 [doi]
• SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context EmbeddingsErik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok. 1795-1802 [doi]
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• Convolutional 2D Knowledge Graph EmbeddingsTim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel 0001. 1811-1818 [doi]
• TorusE: Knowledge Graph Embedding on a Lie GroupTakuma Ebisu, Ryutaro Ichise. 1819-1826 [doi]
• Rational Inference Patterns Based on Conditional LogicChristian Eichhorn, Gabriele Kern-Isberner, Marco Ragni. 1827-1834 [doi]
• Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting - Application to Belief Update and Conservative ExtensionLiangda Fang, Hai Wan, Xianqiao Liu, Biqing Fang, Zhao-Rong Lai. 1835-1844 [doi]
• Answering Regular Path Queries over SQ OntologiesVíctor Gutiérrez-Basulto, Yazmin Angélica Ibáñez-García, Jean Christoph Jung. 1845-1852 [doi]
• Towards Formal Definitions of Blameworthiness, Intention, and Moral ResponsibilityJoseph Y. Halpern, Max Kleiman-Weiner. 1853-1860 [doi]
• Behavior Is Everything: Towards Representing Concepts with Sensorimotor ContingenciesNicholas Hay, Michael Stark 0006, Alexander Schlegel, Carter Wendelken, Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, Dileep George. 1861-1870 [doi]
• Optimised Maintenance of Datalog MaterialisationsPan Hu, Boris Motik, Ian Horrocks. 1871-1879 [doi]
• Qualitative Reasoning About Cardinal Directions Using Answer Set ProgrammingYusuf Izmirlioglu, Esra Erdem 0001. 1880-1887 [doi]
• Learning Abduction Using Partial ObservabilityBrendan Juba, Zongyi Li, Evan Miller. 1888-1896 [doi]
• Probabilistic Inference Over Repeated Insertion ModelsBatya Kenig, Lovro Ilijasic, Haoyue Ping, Benny Kimelfeld, Julia Stoyanovich. 1897-1904 [doi]
• Question Answering as Global Reasoning Over Semantic AbstractionsDaniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth. 1905-1914 [doi]
• In Praise of Belief Bases: Doing Epistemic Logic Without Possible WorldsEmiliano Lorini. 1915-1922 [doi]
• Maximum A Posteriori Inference in Sum-Product NetworksJun Mei, Yong Jiang, Kewei Tu. 1923-1930 [doi]
• Fair Inference on OutcomesRazieh Nabi, Ilya Shpitser. 1931-1940 [doi]
• Stream Reasoning in Temporal DatalogAlessandro Ronca, Mark Kaminski, Bernardo Cuenca Grau, Boris Motik, Ian Horrocks. 1941-1948 [doi]
• On Consensus in Belief MergingNicolas Schwind, Pierre Marquis. 1949-1956 [doi]
• Open-World Knowledge Graph CompletionBaoxu Shi, Tim Weninger. 1957-1964 [doi]
• Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving ObjectsJakob Suchan, Mehul Bhatt, Przemyslaw Andrzej Walega, Carl P. L. Schultz. 1965-1972 [doi]
• A Framework and Positive Results for IAR-answeringDespoina Trivela, Giorgos Stoilos, Vasilis Vassalos. 1973-1980 [doi]
• Repairing Ontologies via Axiom WeakeningNicolas Troquard, Roberto Confalonieri 0001, Pietro Galliani, Rafael Peñaloza, Daniele Porello, Oliver Kutz. 1981-1988 [doi]
• Measuring Strong InconsistencyMarkus Ulbricht, Matthias Thimm, Gerhard Brewka. 1989-1996 [doi]
• Splitting an LPMLN ProgramBin Wang, Zhizheng Zhang, Hongxiang Xu, Jun Shen. 1997-2004 [doi]
• Incorporating GAN for Negative Sampling in Knowledge Representation LearningPeiFeng Wang, Shuangyin Li, Rong Pan. 2005-2012 [doi]
• Forgetting and Unfolding for Existential RulesZhe Wang, Kewen Wang, Xiaowang Zhang. 2013-2020 [doi]
• Machine-Translated Knowledge Transfer for Commonsense Causal ReasoningJinyoung Yeo, Geungyu Wang, Hyunsouk Cho, Seungtaek Choi, Seung-won Hwang. 2021-2028 [doi]
• Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal DiscoveryHao Zhang, Shuigeng Zhou, Jihong Guan. 2029-2036 [doi]
• Fairness in Decision-Making - The Causal Explanation FormulaJunzhe Zhang, Elias Bareinboim. 2037-2045 [doi]
• Embedding of Hierarchically Typed Knowledge BasesRichong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao. 2046-2053 [doi]
• On the Satisfiability Problem of Patterns in SPARQL 1.1Xiaowang Zhang, Jan Van den Bussche, Kewen Wang, Zhe Wang. 2054-2062 [doi]
• Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial RoadsAvinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam. 2063-2070 [doi]
• Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural NetworksOnur Atan, James Jordon, Mihaela van der Schaar. 2071-2078 [doi]
• DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk PredictionBrandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey H. Tison, Gregory M. Marcus, Jose M. Sanchez, Carol Maguire, Jeffrey E. Olgin, Mark J. Pletcher. 2079-2086 [doi]
• CSWA: Aggregation-Free Spatial-Temporal Community SensingJiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das. 2087-2094 [doi]
• Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped ObservationsDiane Bouchacourt, Ryota Tomioka, Sebastian Nowozin. 2095-2102 [doi]
• Dress Fashionably: Learn Fashion Collocation With Deep Mixed-Category Metric LearningLong Chen 0005, Yuhang He. 2103-2110 [doi]
• Modeling Scientific Influence for Research Trending Topic PredictionChengyao Chen, Zhitao Wang, Wenjie Li, Xu Sun. 2111-2118 [doi]
• Tap and Shoot SegmentationDing-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Long-Wen Chang. 2119-2126 [doi]
• HARP: Hierarchical Representation Learning for NetworksHaochen Chen, Bryan Perozzi, Yifan Hu, Steven Skiena. 2127-2134 [doi]
• Latent Sparse Modeling of Longitudinal Multi-Dimensional DataKo-Shin Chen, Tingyang Xu, Jinbo Bi. 2135-2142 [doi]
• Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity RecognitionWeihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri. 2143-2150 [doi]
• A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring StationsWeiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang. 2151-2158 [doi]
• Modeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks With a Novel Image-Based RepresentationChing-Hua Chuan, Dorien Herremans. 2159-2166 [doi]
• Adversarial Network EmbeddingQuanyu Dai, Qiang Li, Jian Tang, Dan Wang. 2167-2174 [doi]
• Collaborative Filtering With User-Item Co-Autoregressive ModelsChao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang. 2175-2182 [doi]
• The Shape of Art History in the Eyes of the MachineAhmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, Marian Mazzone. 2183-2191 [doi]
• Multi-Step Time Series Generator for Molecular DynamicsKatsuhiro Endo, Katsufumi Tomobe, Kenji Yasuoka. 2192-2199 [doi]
• Search Action Sequence Modeling With Long Short-Term Memory for Search Task Success EvaluationAlin Fan, Ling Chen, Gencai Chen. 2200-2207 [doi]
• Discriminant Projection Representation-Based Classification for Vision RecognitionQingxiang Feng, Yicong Zhou. 2208-2214 [doi]
• The Geometric Block ModelSainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha. 2215-2222 [doi]
• Group-Pair Convolutional Neural Networks for Multi-View Based 3D Object RetrievalZan Gao, Deyu Wang, Xiangnan He 0001, Hua Zhang. 2223-2231 [doi]
• Dependence Guided Unsupervised Feature SelectionJun Guo, Wenwu Zhu 0001. 2232-2239 [doi]
• On Trivial Solution and High Correlation Problems in Deep Supervised HashingYuchen Guo, Xin Zhao, Guiguang Ding, Jungong Han. 2240-2247 [doi]
• Learning User Preferences to Incentivize Exploration in the Sharing EconomyChristoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause 0001. 2248-2256 [doi]
• Video-Based Sign Language Recognition Without Temporal SegmentationJie Huang, Wengang Zhou, Qilin Zhang, Houqiang Li, Weiping Li. 2257-2264 [doi]
• Energy-Efficient Automatic Train Driving by Learning Driving PatternsJin Huang 0002, Yue Gao, Sha Lu, Xibin Zhao, Yangdong Deng, Ming Gu 0001. 2265-2272 [doi]
• Video-Based Person Re-Identification via Self Paced WeightingWenjun Huang, Chao Liang, Yi Yu, Zheng Wang, Weijian Ruan, Ruimin Hu. 2273-2280 [doi]
• Generating Music Medleys via Playing Music Puzzle GamesYu-Siang Huang, Szu-Yu Chou, Yi-Hsuan Yang. 2281-2288 [doi]
• Link Prediction With Personalized Social InfluenceZepeng Huo, Xiao Huang, Xia Hu. 2289-2296 [doi]
• Task-Aware Compressed Sensing With Generative Adversarial NetworksMaya Kabkab, Pouya Samangouei, Rama Chellappa. 2297-2304 [doi]
• Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement LearningHao-Cheng Kao, Kai-Fu Tang, Edward Y. Chang. 2305-2313 [doi]
• DeepHit: A Deep Learning Approach to Survival Analysis With Competing RisksChangHee Lee, William R. Zame, Jinsung Yoon, Mihaela van der Schaar. 2314-2321 [doi]
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• Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-IdentificationKai Li, Zhengming Ding, Sheng Li 0001, Yun Fu. 2331-2338 [doi]
• Unified Locally Linear Classifiers With Diversity-Promoting Anchor PointsChenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi. 2339-2346 [doi]
• Multi-Modal Multi-Task Learning for Automatic Dietary AssessmentQi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann. 2347-2354 [doi]
• Distance-Aware DAG Embedding for Proximity Search on Heterogeneous GraphsZemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying. 2355-2362 [doi]
• Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANsMatthew B. A. McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi. 2363-2370 [doi]
• Probabilistic Ensemble of Collaborative FiltersZhiyu Min, Dahua Lin. 2371-2378 [doi]
• A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising CampaignsAlessandro Nuara, Francesco Trovò, Nicola Gatti 0001, Marcello Restelli. 2379-2386 [doi]
• Hierarchical Video Generation From Orthogonal Information: Optical Flow and TextureKatsunori Ohnishi, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada. 2387-2394 [doi]
• Sequence-to-Sequence Learning via Shared Latent RepresentationXu Shen, Xinmei Tian, Jun Xing, Yong Rui, Dacheng Tao. 2395-2402 [doi]
• Compatibility Family Learning for Item Recommendation and GenerationYong-Siang Shih, Kai-Yueh Chang, Hsuan-Tien Lin, Min Sun. 2403-2410 [doi]
• Neural Ideal Point Estimation NetworkKyungwoo Song, Wonsung Lee, Il-Chul Moon. 2411-2418 [doi]
• Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error AnalysisLiangchen Song, Bo Du, Lefei Zhang, Liangpei Zhang, Jia Wu, Xuelong Li. 2419-2426 [doi]
• r-BTN: Cross-Domain Face Composite and Synthesis From Limited Facial PatchesYang Song, Zhifei Zhang, Hairong Qi. 2427-2434 [doi]
• Exercise-Enhanced Sequential Modeling for Student Performance PredictionYu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu. 2435-2443 [doi]
• Compressed Sensing MRI Using a Recursive Dilated NetworkLiyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John Paisley. 2444-2451 [doi]
• Mesh-Based Autoencoders for Localized Deformation Component AnalysisQingyang Tan, Lin Gao, Yu-Kun Lai, Jie Yang, Shihong Xia. 2452-2459 [doi]
• Maximum-Variance Total Variation Denoising for Interpretable Spatial SmoothingWesley Tansey, Jesse Thomason, James G. Scott. 2460-2467 [doi]
• Differential Performance Debugging With Discriminant Regression TreesSaeid Tizpaz Niari, Pavol Cerný, Bor-Yuh Evan Chang, Ashutosh Trivedi. 2468-2475 [doi]
• Adversarial Zero-shot Learning With Semantic AugmentationBin Tong, Martin Klinkigt, Junwen Chen, Xiankun Cui, Quan Kong, Tomokazu Murakami, Yoshiyuki Kobayashi. 2476-2483 [doi]
• Model-Free Iterative Temporal Appliance Discovery for Unsupervised Electricity DisaggregationMark Valovage, Akshay Shekhawat, Maria L. Gini. 2484-2491 [doi]
• Multimodal Poisson Gamma Belief NetworkChaojie Wang, Bo Chen 0001, Mingyuan Zhou. 2492-2499 [doi]
• When Will You Arrive? Estimating Travel Time Based on Deep Neural NetworksDong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng. 2500-2507 [doi]
• GraphGAN: Graph Representation Learning With Generative Adversarial NetsHongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo. 2508-2515 [doi]
• Collaborative Filtering With Social Exposure: A Modular Approach to Social RecommendationMenghan Wang, Xiaolin Zheng, Yang Yang, Kun Zhang. 2516-2523 [doi]
• AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and VideoXin Ru Nancy Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton. 2524-2531 [doi]
• Attention-Based Transactional Context Embedding for Next-Item RecommendationShoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu 0007. 2532-2539 [doi]
• Fully Convolutional Network Based Skeletonization for Handwritten Chinese CharactersTie-Qiang Wang, Cheng-Lin Liu. 2540-2547 [doi]
• Directional Label Rectification in Adaptive GraphXiaoqian Wang, Hao Huang. 2548-2555 [doi]
• Hybrid Attentive Answer Selection in CQA With Deep Users ModellingJiahui Wen, Jingwei Ma, Yiliu Feng, Mingyang Zhong. 2556-2563 [doi]
• Modeling Attention and Memory for Auditory Selection in a Cocktail Party EnvironmentJiaming Xu, Jing Shi, Guangcan Liu, Xiuyi Chen, Bo Xu. 2564-2571 [doi]
• Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria ApproachTong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong. 2572-2579 [doi]
• Learning Generative Neural Networks for 3D ColorizationZhenpei Yang, Lihang Liu, Qixing Huang. 2580-2587 [doi]
• Deep Multi-View Spatial-Temporal Network for Taxi Demand PredictionHuaxiu Yao, Fei Wu 0007, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li. 2588-2595 [doi]
• WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item RecommendationLu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang. 2596-2603 [doi]
• Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load MonitoringChaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles A. Sutton. 2604-2611 [doi]
• Feature Enhancement Network: A Refined Scene Text DetectorSheng Zhang, Yuliang Liu, Lianwen Jin, Canjie Luo. 2612-2619 [doi]
• COSINE: Community-Preserving Social Network Embedding From Information Diffusion CascadesYuan Zhang, Tianshu Lyu, Yan Zhang. 2620-2627 [doi]
• Data Poisoning Attacks on Multi-Task Relationship LearningMengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan. 2628-2635 [doi]
• An Adversarial Hierarchical Hidden Markov Model for Human Pose Modeling and GenerationRui Zhao, Qiang Ji. 2636-2643 [doi]
• Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action RecognitionNenggan Zheng, Jun Wen, Risheng Liu, Liangqu Long, Jianhua Dai, Zhefeng Gong. 2644-2651 [doi]
• SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior InteractionYanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng. 2652-2659 [doi]
• Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional ConnectivityXiaofeng Zhu, Hongming Li, Yong Fan 0001. 2660-2668 [doi]
• Safe Reinforcement Learning via ShieldingMohammed Alshiekh, Roderick Bloem, Rüdiger Ehlers, Bettina Könighofer, Scott Niekum, Ufuk Topcu. 2669-2678 [doi]
• Sample-Efficient Learning of MixturesHassan Ashtiani, Shai Ben-David, Abbas Mehrabian. 2679-2686 [doi]
• Learning to Attack: Adversarial Transformation NetworksShumeet Baluja, Ian Fischer. 2687-2695 [doi]
• Online Learning for Structured Loss SpacesSiddharth Barman, Aditya Gopalan, Aadirupa Saha. 2696-2703 [doi]
• ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label ClassificationSima Behpour, Wei Xing, Brian D. Ziebart. 2704-2711 [doi]
• Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree InductionJessa Bekker, Jesse Davis. 2712-2719 [doi]
• Long-Term Image Boundary PredictionApratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz. 2720-2729 [doi]
• Algorithms for Generalized Topic ModelingAvrim Blum, Nika Haghtalab. 2730-2737 [doi]
• Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group StructureAleksandar Bojchevski, Stephan Günnemann. 2738-2745 [doi]
• Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant AnalysisForough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long. 2746-2753 [doi]
• Efficient Probabilistic Performance Bounds for Inverse Reinforcement LearningDaniel S. Brown, Scott Niekum. 2754-2762 [doi]
• Teaching a Machine to Read Maps With Deep Reinforcement LearningGino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer. 2763-2770 [doi]
• Graph Scan Statistics With UncertaintyJose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng. 2771-2778 [doi]
• Mining Heavy Temporal Subgraphs: Fast Algorithms and ApplicationsJose Cadena, Anil Vullikanti. 2779-2786 [doi]
• Efficient Architecture Search by Network TransformationHan Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang. 2787-2794 [doi]
• Unsupervised Domain Adaptation With Distribution Matching MachinesYue Cao, Mingsheng Long, Jianmin Wang. 2795-2802 [doi]
• Link Prediction via Subgraph Embedding-Based Convex Matrix CompletionZhu Cao, Linlin Wang, Gerard de Melo. 2803-2810 [doi]
• Reversible Architectures for Arbitrarily Deep Residual Neural NetworksBo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham. 2811-2818 [doi]
• Gated-Attention Architectures for Task-Oriented Language GroundingDevendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov. 2819-2826 [doi]
• AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed TrainingChia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan. 2827-2835 [doi]
• LSTD: A Low-Shot Transfer Detector for Object DetectionHao Chen, Yali Wang, Guoyou Wang, Yu Qiao 0001. 2836-2843 [doi]
• Automatic Segmentation of Data SequencesLiangzhe Chen, Sorour E. Amiri, B. Aditya Prakash. 2844-2851 [doi]
• DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities TransferYunTao Chen, Naiyan Wang, Zhaoxiang Zhang. 2852-2859 [doi]
• Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov NetworksLi Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate. 2860-2867 [doi]
• Expected Policy GradientsKamil Ciosek, Shimon Whiteson. 2868-2875 [doi]
• Diverse Exploration for Fast and Safe Policy ImprovementAndrew Cohen, Lei Yu, Robert Wright. 2876-2883 [doi]
• Clustering Small Samples With Quality Guarantees: Adaptivity With One2all PPSEdith Cohen, Shiri Chechik, Haim Kaplan. 2884-2891 [doi]
• Distributional Reinforcement Learning With Quantile RegressionWill Dabney, Mark Rowland, Marc G. Bellemare, Rémi Munos. 2892-2901 [doi]
• Multi-Step Reinforcement Learning: A Unifying AlgorithmKristopher De Asis, J. Fernando Hernandez-Garcia, G. Zacharias Holland, Richard S. Sutton. 2902-2909 [doi]
• Randomized Kernel Selection With Spectra of Multilevel Circulant MatricesLi-Zhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao. 2910-2917 [doi]
• Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable RecommendationTrong Dinh Thac Do, Longbing Cao. 2918-2925 [doi]
• Learning From Semi-Supervised Weak-Label DataHao-Chen Dong, Yu-Feng Li, Zhi-Hua Zhou. 2926-2933 [doi]
• Decomposition Strategies for Constructive Preference ElicitationPaolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini. 2934-2942 [doi]
• Constructive Preference Elicitation Over Hybrid Combinatorial SpacesPaolo Dragone, Stefano Teso, Andrea Passerini. 2943-2950 [doi]
• Learning to Rank Based on Analogical ReasoningMohsen Ahmadi Fahandar, Eyke Hüllermeier. 2951-2958 [doi]
• Learning Lexicographic Preference Trees From Positive ExamplesHélène Fargier, Pierre-François Gimenez, Jérôme Mengin. 2959-2966 [doi]
• AutoEncoder by ForestJi Feng, Zhi-Hua Zhou. 2967-2973 [doi]
• Counterfactual Multi-Agent Policy GradientsJakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson. 2974-2982 [doi]
• Lagrangian Constrained Community DetectionMohadeseh Ganji, James Bailey, Peter J. Stuckey. 2983-2990 [doi]
• DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix FactorizationTianxiang Gao, Chris Chu. 2991-2998 [doi]
• Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale ForecastingYuyang Gao, Liang Zhao. 2999-3006 [doi]
• Learning Combinatory Categorial Grammars for Plan RecognitionChristopher W. Geib, Pavan Kantharaju. 3007-3014 [doi]
• Characterization of the Convex Łukasiewicz Fragment for Learning From ConstraintsFrancesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini. 3015-3020 [doi]
• Topic Modeling on Health Journals With Regularized Variational InferenceRobert Giaquinto, Arindam Banerjee. 3021-3028 [doi]
• Non-Discriminatory Machine Learning Through Convex Fairness CriteriaNaman Goel, Mohammad Yaghini, Boi Faltings. 3029-3036 [doi]
• Margin Based PU LearningTieliang Gong, Guangtao Wang, Jieping Ye, ZongBen Xu, Ming Lin. 3037-3044 [doi]
• A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence ModelsKartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick. 3045-3052 [doi]
• Human Guided Linear Regression With Feature-Level ConstraintsAubrey Gress, Ian Davidson. 3053-3060 [doi]
• Learning Predictive State Representations From Non-Uniform SamplingYuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup. 3061-3068 [doi]
• Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative ModelsAditya Grover, Manik Dhar, Stefano Ermon. 3069-3076 [doi]
• Boosted Generative ModelsAditya Grover, Stefano Ermon. 3077-3084 [doi]
• Asynchronous Doubly Stochastic Sparse Kernel LearningBin Gu, Miao Xin, Zhouyuan Huo, Heng Huang. 3085-3092 [doi]
• Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth OptimizationBin Gu, De Wang, Zhouyuan Huo, Heng Huang. 3093-3100 [doi]
• An Euclidean Distance Based on Tensor Product Graph Diffusion Related Attribute Value Embedding for Nominal Data ClusteringLei Gu, Ningning Zhou, Yang Zhao. 3101-3108 [doi]
• Who Said What: Modeling Individual Labelers Improves ClassificationMelody Y. Guan, Varun Gulshan, Andrew M. Dai, Geoffrey E. Hinton. 3109-3118 [doi]
• Nonparametric Stochastic Contextual BanditsMelody Y. Guan, Heinrich Jiang. 3119-3125 [doi]
• A General Formulation for Safely Exploiting Weakly Supervised DataLan-Zhe Guo, Yu-Feng Li. 3126-3133 [doi]
• Double Forward Propagation for Memorized Batch NormalizationYong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan. 3134-3141 [doi]
• Learning Across Scales - Multiscale Methods for Convolution Neural NetworksEldad Haber, Lars Ruthotto, Elliot Holtham, Seong-Hwan Jun. 3142-3148 [doi]
• A Framework for Multistream Regression With Direct Density Ratio EstimationAhsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, Latifur Khan. 3149-3156 [doi]
• Approximate and Exact Enumeration of Rule ModelsSatoshi Hara, Masakazu Ishihata. 3157-3164 [doi]
• When Waiting Is Not an Option: Learning Options With a Deliberation CostJean Harb, Pierre-Luc Bacon, Martin Klissarov, Doina Precup. 3165-3172 [doi]
• Learning With Options That Terminate Off-PolicyAnna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé. 3173-3182 [doi]
• Reinforced Multi-Label Image Classification by Exploring CurriculumShiyi He, Chang Xu 0002, Tianyu Guo, Chao Xu 0006, Dacheng Tao. 3183-3190 [doi]
• An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical SystemsAhmed Hefny, Carlton Downey, Geoffrey J. Gordon. 3191-3198 [doi]
• OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement LearningPeter Henderson 0002, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup. 3199-3206 [doi]
• Deep Reinforcement Learning That MattersPeter Henderson 0002, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger. 3207-3214 [doi]
• Rainbow: Combining Improvements in Deep Reinforcement LearningMatteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Gheshlaghi Azar, David Silver. 3215-3222 [doi]
• Deep Q-learning From DemonstrationsTodd Hester, Matej Vecerik, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John Agapiou, Joel Z. Leibo, Audrunas Gruslys. 3223-3230 [doi]
• Decentralized High-Dimensional Bayesian Optimization With Factor GraphsTrong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low. 3231-3238 [doi]
• A Deep Model With Local Surrogate Loss for General Cost-Sensitive Multi-Label LearningCheng-Yu Hsieh, Yi-An Lin, Hsuan-Tien Lin. 3239-3246 [doi]
• From Hashing to CNNs: Training Binary Weight Networks via HashingQinghao Hu, Peisong Wang, Jian Cheng. 3247-3254 [doi]
• SNNN: Promoting Word Sentiment and Negation in Neural Sentiment ClassificationQinmin Hu, Jie Zhou, Qin Chen, Liang He. 3255-3262 [doi]
• On Convergence of Epanechnikov Mean ShiftKejun Huang, Xiao Fu 0001, Nicholas D. Sidiropoulos. 3263-3270 [doi]
• Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural NetworksLei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li. 3271-3278 [doi]
• Building Deep Networks on Grassmann ManifoldsZhiwu Huang, Jiqing Wu, Luc Van Gool. 3279-3286 [doi]
• Accelerated Method for Stochastic Composition Optimization With Nonsmooth RegularizationZhouyuan Huo, Bin Gu, Ji Liu, Heng Huang. 3287-3294 [doi]
• Product Quantized Translation for Fast Nearest Neighbor SearchYoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han, Hee-Kap Ahn. 3295-3301 [doi]
• Selective Experience Replay for Lifelong LearningDavid Isele, Akansel Cosgun. 3302-3309 [doi]
• Label Distribution Learning by Exploiting Label CorrelationsXiuyi Jia, Weiwei Li, Junyu Liu, Yu Zhang. 3310-3317 [doi]
• Metric-Based Auto-Instructor for Learning Mixed Data RepresentationSonglei Jian, Liang Hu, Longbing Cao, Kai Lu. 3318-3325 [doi]
• Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear CombinationFei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen. 3326-3333 [doi]
• PAC Reinforcement Learning With an Imperfect ModelNan Jiang. 3334-3341 [doi]
• Asymmetric Deep Supervised HashingQing-Yuan Jiang, Wu-Jun Li. 3342-3349 [doi]
• On Controlling the Size of Clusters in Probabilistic ClusteringAditya Jitta, Arto Klami. 3350-3357 [doi]
• Less-Forgetful Learning for Domain Expansion in Deep Neural NetworksHeechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim. 3358-3365 [doi]
• Unified Spectral Clustering With Optimal GraphZhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu. 3366-3373 [doi]
• Batchwise Patching of ClassifiersSebastian Kauschke, Johannes Fürnkranz. 3374-3381 [doi]
• Deep Semi-Random Features for Nonlinear Function ApproximationKenji Kawaguchi, Bo Xie 0002, Le Song. 3382-3389 [doi]
• Measuring Catastrophic Forgetting in Neural NetworksRonald Kemker, Marc McClure, Angelina Abitino, Tyler L. Hayes, Christopher Kanan. 3390-3398 [doi]
• Approximate Vanishing Ideal via Data KnottingHiroshi Kera, Yoshihiko Hasegawa. 3399-3406 [doi]
• Feature Engineering for Predictive Modeling Using Reinforcement LearningUdayan Khurana, Horst Samulowitz, Deepak S. Turaga. 3407-3414 [doi]
• Imitation Learning via Kernel Mean EmbeddingKee-Eung Kim, Hyun Soo Park. 3415-3422 [doi]
• On the Optimal Bit Complexity of Circulant Binary EmbeddingSaehoon Kim, Jungtaek Kim, Seungjin Choi. 3423-3430 [doi]
• Joint Dictionaries for Zero-Shot LearningSoheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim. 3431-3439 [doi]
• Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRFHarshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi. 3440-3447 [doi]
• gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting ItemsYeon-Chang Lee, Sang-Wook Kim, Dongwon Lee 0001. 3448-3456 [doi]
• On Value Function Representation of Long Horizon ProblemsLucas Lehnert, Romain Laroche, Harm van Seijen. 3457-3465 [doi]
• Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMMCong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin. 3466-3473 [doi]
• Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action SpacesDaniel Levy, Stefano Ermon. 3474-3481 [doi]
• Spatio-Temporal Graph Convolution for Skeleton Based Action RecognitionChaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian Yang. 3482-3489 [doi]
• Learning to Generalize: Meta-Learning for Domain GeneralizationDa Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales. 3490-3497 [doi]
• A Probabilistic Hierarchical Model for Multi-View and Multi-Feature ClassificationJinxing Li, Hongwei Yong, Bob Zhang, Mu Li, Lei Zhang, David Zhang. 3498-3505 [doi]
• Predictive Coding Machine for Compressed Sensing and Image DenoisingJun Li, Hongfu Liu, Yun Fu. 3506-3513 [doi]
• Unsupervised Personalized Feature SelectionJundong Li, Liang Wu 0006, Harsh Dani, Huan Liu 0001. 3514-3521 [doi]
• Latent Discriminant Subspace Representations for Multi-View Outlier DetectionKai Li, Sheng Li 0001, Zhengming Ding, Weidong Zhang, Yun Fu. 3522-3529 [doi]
• Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its PredictionsOscar Li, Hao Liu 0015, Chaofan Chen, Cynthia Rudin. 3530-3537 [doi]
• Deeper Insights Into Graph Convolutional Networks for Semi-Supervised LearningQimai Li, Zhichao Han, Xiao-Ming Wu. 3538-3545 [doi]
• Adaptive Graph Convolutional Neural NetworksRuoyu Li, Sheng Wang, Feiyun Zhu, JunZhou Huang. 3546-3553 [doi]
• Online Clustering of Contextual Cascading BanditsShuai Li, Shengyu Zhang. 3554-3561 [doi]
• An Optimal Online Method of Selecting Source Policies for Reinforcement LearningSiyuan Li, Chongjie Zhang. 3562-3570 [doi]
• Statistical Inference Using SGDTianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis. 3571-3578 [doi]
• Domain Generalization via Conditional Invariant RepresentationsYa Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao. 3579-3587 [doi]
• Learning With Incomplete LabelsYingming Li, Zenglin Xu, Zhongfei Zhang. 3588-3595 [doi]
• Balanced Clustering via Exclusive Lasso: A Pragmatic ApproachZhihui Li, Feiping Nie, Xiaojun Chang, Zhigang Ma, Yi Yang. 3596-3603 [doi]
• 2, p-norm MaximizationShuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao. 3604-3610 [doi]
• CoDiNMF: Co-Clustering of Directed Graphs via NMFWoosang Lim, Rundong Du, Haesun Park. 3611-3618 [doi]
• Transferable Contextual Bandit for Cross-Domain RecommendationBo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang 0001. 3619-3626 [doi]
• Riemannian Stein Variational Gradient Descent for Bayesian InferenceChang Liu, Jun Zhu. 3627-3634 [doi]
• Dual Set Multi-Label LearningChong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou. 3635-3642 [doi]
• Information Directed Sampling for Stochastic Bandits With Graph FeedbackFang Liu, Swapna Buccapatnam, Ness B. Shroff. 3643-3650 [doi]
• A Change-Detection Based Framework for Piecewise-Stationary Multi-Armed Bandit ProblemFang Liu, Joohyun Lee, Ness B. Shroff. 3651-3658 [doi]
• Nonlinear Pairwise Layer and Its Training for Kernel LearningFanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li 0013. 3659-3666 [doi]
• A Batch Learning Framework for Scalable Personalized RankingKuan Liu, Prem Natarajan. 3667-3674 [doi]
• Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective ExecutionLanlan Liu, Jia Deng. 3675-3682 [doi]
• Doubly Approximate Nearest Neighbor ClassificationWeiwei Liu, Zhuanghua Liu, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin. 3683-3690 [doi]
• Euler Sparse Representation for Image ClassificationYang Liu, Quanxue Gao, Jungong Han, Shujian Wang. 3691-3697 [doi]
• Variational Probability Flow for Biologically Plausible Training of Deep Neural NetworksZuozhu Liu, Tony Q. S. Quek, Shaowei Lin. 3698-3705 [doi]
• A Parallelizable Acceleration Framework for Packing Linear ProgramsPalma London, Shai Vardi, Adam Wierman, Hanling Yi. 3706-3713 [doi]
• Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence AnalysisCanyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan. 3714-3721 [doi]
• Matrix Variate Gaussian Mixture Distribution Steered Robust Metric LearningLei Luo, Heng Huang. 3722-3729 [doi]
• Consistent and Specific Multi-View Subspace ClusteringShirui Luo, Changqing Zhang, Wei Zhang, Xiaochun Cao. 3730-3737 [doi]
• Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step SizeKe Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao. 3738-3745 [doi]
• MDP-Based Cost Sensitive Classification Using Decision TreesShlomi Maliah, Guy Shani. 3746-3753 [doi]
• Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base CompletionHitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo. 3754-3761 [doi]
• Belief Reward Shaping in Reinforcement LearningOfir Marom, Benjamin Rosman. 3762-3769 [doi]
• Learning Multi-Way Relations via Tensor Decomposition With Neural NetworksKoji Maruhashi, Masaru Todoriki, Takuya Ohwa, Keisuke Goto, Yu Hasegawa, Hiroya Inakoshi, Hirokazu Anai. 3770-3777 [doi]
• Subgraph Pattern Neural Networks for High-Order Graph Evolution PredictionChangping Meng, S. Chandra Mouli, Bruno Ribeiro 0001, Jennifer Neville. 3778-3787 [doi]
• Exploiting Emotion on Reviews for Recommender SystemsXuying Meng, Suhang Wang, Huan Liu 0001, Yujun Zhang. 3788-3795 [doi]
• Personalized Privacy-Preserving Social RecommendationXuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang. 3796-3803 [doi]
• Proper Loss Functions for Nonlinear Hawkes ProcessesAditya Krishna Menon, Young Lee. 3804-3811 [doi]
• Bernoulli Embeddings for GraphsVinith Misra, Sumit Bhatia. 3812-3819 [doi]
• Core Dependency NetworksAlejandro Molina 0001, Alexander Munteanu, Kristian Kersting. 3820-3827 [doi]
• Mixed Sum-Product Networks: A Deep Architecture for Hybrid DomainsAlejandro Molina 0001, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting. 3828-3835 [doi]
• Alternating Circulant Random Features for Semigroup KernelsYusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. 3836-3843 [doi]
• Overlap-Robust Decision Boundary Learning for Within-Network ClassificationSharad Nandanwar, M. Narasimha Murty. 3844-3851 [doi]
• A Provable Approach for Double-Sparse CodingThanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde. 3852-3859 [doi]
• Hierarchical Policy Search via Return-Weighted Density EstimationTakayuki Osa, Masashi Sugiyama. 3860-3867 [doi]
• Dynamic Determinantal Point ProcessesTakayuki Osogami, Rudy Raymond, Akshay Goel, Tomoyuki Shirai, Takanori Maehara. 3868-3875 [doi]
• Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative PerceptionRuofei Ouyang, Kian Hsiang Low. 3876-3883 [doi]
• Training CNNs With Normalized KernelsMete Özay, Takayuki Okatani. 3884-3891 [doi]
• Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric DataGuansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu. 3892-3899 [doi]
• SAGA: A Submodular Greedy Algorithm for Group RecommendationShameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla. 3900-3908 [doi]
• Quantized Memory-Augmented Neural NetworksSeongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon. 3909-3916 [doi]
• Adversarial Dropout for Supervised and Semi-Supervised LearningSungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon. 3917-3924 [doi]
• Alternating Optimisation and Quadrature for Robust ControlSupratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson. 3925-3933 [doi]
• Multi-Adversarial Domain AdaptationZhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang. 3934-3941 [doi]
• FiLM: Visual Reasoning with a General Conditioning LayerEthan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron C. Courville. 3942-3951 [doi]
• Source Traces for Temporal Difference LearningSilviu Pitis. 3952-3959 [doi]
• Randomized Clustered Nystrom for Large-Scale Kernel MachinesFarhad Pourkamali Anaraki, Stephen Becker, Michael B. Wakin. 3960-3967 [doi]
• Joint Learning of Set Cardinality and State DistributionS. Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony R. Dick, Ian D. Reid 0001. 3968-3975 [doi]
• Interpretable Graph-Based Semi-Supervised Learning via FlowsRaif M. Rustamov, James T. Klosowski. 3976-3983 [doi]
• Hypergraph p-Laplacian: A Differential Geometry ViewShota Saito, Danilo P. Mandic, Hideyuki Suzuki. 3984-3991 [doi]
• Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-ClusteringAghiles Salah, Melissa Ailem, Mohamed Nadif. 3992-3999 [doi]
• Learning Vector Autoregressive Models With Latent ProcessesSaber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang. 4000-4007 [doi]
• Regularizing Deep Networks Using Efficient Layerwise Adversarial TrainingSwami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim. 4008-4015 [doi]
• From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping SetsPedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro. 4016-4025 [doi]
• On Data-Dependent Random Features for Improved Generalization in Supervised LearningShahin Shahrampour, Ahmad Beirami, Vahid Tarokh. 4026-4033 [doi]
• Labeled Memory Networks for Online Model AdaptationShiv Shankar, Sunita Sarawagi. 4034-4041 [doi]
• No Modes Left Behind: Capturing the Data Distribution Effectively Using GANsShashank Sharma, Vinay P. Namboodiri. 4042-4049 [doi]
• Reduced-Rank Linear Dynamical SystemsQi She, Yuan Gao, Kai Xu, Rosa H. M. Chan. 4050-4057 [doi]
• Wasserstein Distance Guided Representation Learning for Domain AdaptationJian Shen, Yanru Qu, Weinan Zhang, Yong Yu. 4058-4065 [doi]
• Compact Multi-Label LearningXiaobo Shen 0001, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong. 4066-4073 [doi]
• Dynamic Optimization of Neural Network Structures Using Probabilistic ModelingShinichi Shirakawa, Yasushi Iwata, Youhei Akimoto. 4074-4082 [doi]
• Learning to Interact With Learning AgentsAdish Singla, Seyed Hamed Hassani, Andreas Krause 0001. 4083-4090 [doi]
• Attend and Diagnose: Clinical Time Series Analysis Using Attention ModelsHuan Song, Deepta Rajan, Jayaraman J. Thiagarajan, Andreas Spanias. 4091-4098 [doi]
• Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation SetsDenis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé. 4099-4106 [doi]
• Active Lifelong Learning With "Watchdog"Gan Sun, Yang Cong, Xiaowei Xu. 4107-4114 [doi]
• Leaf-Smoothed Hierarchical Softmax for Ordinal PredictionWesley Tansey, Karl Pichotta, James G. Scott. 4115-4122 [doi]
• Reliable Multi-View ClusteringHong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu. 4123-4130 [doi]
• Action Branching Architectures for Deep Reinforcement LearningArash Tavakoli, Fabio Pardo, Petar Kormushev. 4131-4138 [doi]
• Detecting Adversarial Examples Through Image TransformationShixin Tian, Guolei Yang, Ying Cai. 4139-4146 [doi]
• Selective Verification Strategy for Learning From CrowdsTian Tian, Yichi Zhou, Jun Zhu. 4147-4154 [doi]
• Fourier Feature Approximations for Periodic Kernels in Time-Series ModellingAnthony Tompkins, Fabio Ramos. 4155-4162 [doi]
• Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product NetworksAntonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina 0001, Kristian Kersting, Floriana Esposito. 4163-4170 [doi]
• Bayesian Functional OptimizationNgo Anh Vien, Heiko Zimmermann, Marc Toussaint. 4171-4178 [doi]
• Kernel Cross-CorrelatorChen Wang, Le Zhang, Lihua Xie, Junsong Yuan. 4179-4186 [doi]
• Efficient Test-Time Predictor Learning With Group-Based BudgetLi Wang, Dajiang Zhu, Yujie Chi. 4187-4194 [doi]
• Learning Transferable Subspace for Human Motion SegmentationLichen Wang, Zhengming Ding, Yun Fu. 4195-4202 [doi]
• Information-Theoretic Domain Adaptation Under Severe Noise ConditionsWei Wang, Hao Wang, Zhi-Yong Ran, Ran He. 4203-4210 [doi]
• Zero-Shot Learning via Class-Conditioned Deep Generative ModelsWenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin. 4211-4218 [doi]
• Sparse Gaussian Conditional Random Fields on Top of Recurrent Neural NetworksXishun Wang, Minjie Zhang, Fenghui Ren. 4219-4226 [doi]
• On Multi-Relational Link Prediction With Bilinear ModelsYanjie Wang, Rainer Gemulla, Hui Li. 4227-4234 [doi]
• Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization FrameworkYanzhi Wang, Caiwen Ding, Zhe Li 0001, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin. 4235-4243 [doi]
• On the ERM Principle With Networked DataYuanhong Wang, Yuyi Wang, Xingwu Liu, Juhua Pu. 4244-4251 [doi]
• High Rank Matrix Completion With Side InformationYugang Wang, Ehsan Elhamifar. 4252-4259 [doi]
• Adversarial Learning of Portable Student NetworksYunhe Wang, Chang Xu 0002, Chao Xu 0006, Dacheng Tao. 4260-4267 [doi]
• 1-Regularized ModelsJianqiao Wangni. 4268-4275 [doi]
• MERCS: Multi-Directional Ensembles of Regression and Classification TreesElia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel. 4276-4283 [doi]
• Decoupled Convolutions for CNNsGuotian Xie, Ting Zhang, Kuiyuan Yang, Jianhuang Lai, Jingdong Wang. 4284-4291 [doi]
• Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC TeachingJianwen Xie, Yang Lu, RuiQi Gao, Ying Nian Wu. 4292-4301 [doi]
• Partial Multi-Label LearningMing-Kun Xie, Sheng-Jun Huang. 4302-4309 [doi]
• Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled DataZheng Xie, Ming Li. 4310-4317 [doi]
• Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and BindingYou-Lu Xing, Fu-Rao Shen, Jin-xi Zhao, Jing-Xin Pan, Ah-Hwee Tan. 4318-4325 [doi]
• HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking AggregationQianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao. 4326-4334 [doi]
• Deep Neural Network Compression With Single and Multiple Level QuantizationYuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong. 4335-4342 [doi]
• Informed Non-Convex Robust Principal Component Analysis With FeaturesNiannan Xue, Jiankang deng, Yannis Panagakis, Stefanos Zafeiriou. 4343-4349 [doi]
• Dictionary Learning in Optimal Metric SpaceJiexi Yan, Cheng Deng, Xianglong Liu. 4350-4357 [doi]
• Automatic Model Selection in Subspace Clustering via Triplet RelationshipsJufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng. 4358-4365 [doi]
• A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic NetworksSikun Yang, Heinz Koeppl. 4366-4373 [doi]
• 2, 1-Norm Relaxation of Multi-Way Graph Cut for ClusteringXu Yang, Cheng Deng, Xianglong Liu, Feiping Nie. 4374-4381 [doi]
• Efficient K-Shot Learning With Regularized Deep NetworksDonghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani. 4382-4389 [doi]
• Learning With Single-Teacher Multi-StudentShan You, Chang Xu 0002, Chao Xu 0006, Dacheng Tao. 4390-4397 [doi]
• Tau-FPL: Tolerance-Constrained Learning in Linear TimeAo Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha. 4398-4405 [doi]
• Multi-Layer Multi-View Classification for Alzheimer's Disease DiagnosisChangqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen. 4406-4413 [doi]
• Latent Semantic Aware Multi-View Multi-Label ClassificationChangqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang. 4414-4421 [doi]
• ROAR: Robust Label Ranking for Social Emotion MiningJason (Jiasheng) Zhang, Dongwon Lee 0001. 4422-4429 [doi]
• Beyond Link Prediction: Predicting Hyperlinks in Adjacency SpaceMuhan Zhang, Zhicheng Cui, Shali Jiang, Yixin Chen. 4430-4437 [doi]
• An End-to-End Deep Learning Architecture for Graph ClassificationMuhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen. 4438-4445 [doi]
• Feature-Induced Labeling Information Enrichment for Multi-Label LearningQian-Wen Zhang, Yun Zhong, Min-Ling Zhang. 4446-4453 [doi]
• Interpreting CNN Knowledge via an Explanatory GraphQuanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song Chun Zhu. 4454-4463 [doi]
• Examining CNN Representations With Respect to Dataset BiasQuanshi Zhang, Wenguan Wang, Song Chun Zhu. 4464-4473 [doi]
• Optimal Margin Distribution ClusteringTeng Zhang, Zhi-Hua Zhou. 4474-4481 [doi]
• Training Set Debugging Using Trusted ItemsXuezhou Zhang, Xiaojin Zhu 0001, Stephen J. Wright. 4482-4489 [doi]
• EMD Metric LearningZizhao Zhang, Yubo Zhang, Xibin Zhao, Yue Gao. 4490-4497 [doi]
• Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual IndicatorsLiang Zhao 0002, Junxiang Wang, Xiaojie Guo. 4498-4505 [doi]
• Label Distribution Learning by Optimal TransportPeng Zhao, Zhi-Hua Zhou. 4506-4513 [doi]
• Substructure Assembling Network for Graph ClassificationXiaohan Zhao, Bo Zong, Ziyu Guan, Kai Zhang, Wei Zhao. 4514-4521 [doi]
• Hypergraph Learning With Cost Interval OptimizationXibin Zhao, Nan Wang 0005, Heyuan Shi, Hai Wan, Jin Huang 0002, Yue Gao. 4522-4529 [doi]
• Learning Mixtures of Random Utility ModelsZhibing Zhao, Tristan Villamil, Lirong Xia. 4530-4538 [doi]
• Direct Hashing Without Pseudo-LabelsFeng Zheng, Heng Huang. 4539-4546 [doi]
• Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic MapsKaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao. 4547-4555 [doi]
• Label Distribution Learning by Exploiting Sample Correlations LocallyXiang Zheng, Xiuyi Jia, Weiwei Li. 4556-4563 [doi]
• ATRank: An Attention-Based User Behavior Modeling Framework for RecommendationChang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao. 4564-4571 [doi]
• Budget-Constrained Multi-Armed Bandits With Multiple PlaysDatong P. Zhou, Claire J. Tomlin. 4572-4579 [doi]
• Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light NetGuorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai. 4580-4587 [doi]
• SC2Net: Sparse LSTMs for Sparse CodingJoey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh. 4588-4595 [doi]
• Adaptive Quantization for Deep Neural NetworkYiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard. 4596-4604 [doi]
• Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data AnalysisYuxun Zhou, Han Zou, Reza Arghandeh, Weixi Gu, Costas J. Spanos. 4605-4612 [doi]
• A Spherical Hidden Markov Model for Semantics-Rich Human Mobility ModelingWanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han 0001. 4613-4620 [doi]
• Weighted Multi-View Spectral Clustering Based on Spectral PerturbationLinlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu. 4621-4629 [doi]
• Learning the Behavior of a Dynamical System Via a "20 Questions" ApproachAbhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns. 4630-4637 [doi]
• Knowledge, Fairness, and Social ConstraintsHaris Aziz 0001, Sylvain Bouveret, Ioannis Caragiannis, Ira Giagkousi, Jérôme Lang. 4638-4645 [doi]
• POMDP-Based Decision Making for Fast Event Handling in VANETsShuo Chen, Athirai Aravazhi Irissappane, Jie Zhang. 4646-4653 [doi]
• An Ant-Based Algorithm to Solve Distributed Constraint Optimization ProblemsZiyu Chen, Tengfei Wu, Yanchen Deng, Cheng Zhang. 4654-4661 [doi]
• Preallocation and Planning Under Stochastic Resource ConstraintsFrits de Nijs, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt. 4662-4669 [doi]
• Manipulative Elicitation - A New Attack on Elections with Incomplete PreferencesPalash Dey. 4670-4677 [doi]
• Control Argumentation FrameworksYannis Dimopoulos, Jean-Guy Mailly, Pavlos Moraitis. 4678-4685 [doi]
• Decentralised Learning in Systems With Many, Many Strategic AgentsDavid Mguni, Joel Jennings, Enrique Munoz de Cote. 4686-4693 [doi]
• Dilated FCN for Multi-Agent 2D/3D Medical Image RegistrationShun Miao, Sebastien Piat, Peter Walter Fischer, Ahmet Tuysuzoglu, Philip Walter Mewes, Tommaso Mansi, Rui Liao. 4694-4701 [doi]
• Strategic Coalitions With Perfect RecallPavel Naumov, Jia Tao. 4702-4709 [doi]
• The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory EstimationGang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic. 4710-4717 [doi]
• Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic DemandJiang Rong, Tao Qin, Bo An. 4718-4726 [doi]
• Social Norms of Cooperation With Costly Reputation BuildingFernando P. Santos, Jorge M. Pacheco, Francisco C. Santos. 4727-4734 [doi]
• Multiagent Connected Path Planning: PSPACE-Completeness and How to Deal With ItDavide Tateo, Jacopo Banfi, Alessandro Riva, Francesco Amigoni, Andrea Bonarini. 4735-4742 [doi]
• Maximizing Influence in an Unknown Social NetworkBryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe. 4743-4750 [doi]
• Integrated Cooperation and Competition in Multi-Agent Decision-MakingKyle Hollins Wray, Akshat Kumar, Shlomo Zilberstein. 4751-4758 [doi]
• Privacy-Preserving Policy Iteration for Decentralized POMDPsFeng Wu, Shlomo Zilberstein, Xiaoping Chen. 4759-4766 [doi]
• HogRider: Champion Agent of Microsoft Malmo Collaborative AI ChallengeYanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An. 4767-4775 [doi]
• Effective Broad-Coverage Deep ParsingJames F. Allen, Omid Bahkshandeh, William de Beaumont, Lucian Galescu, Choh-Man Teng. 4776-4783 [doi]
• Faithful to the Original: Fact Aware Neural Abstractive SummarizationZiqiang Cao, Furu Wei, Wenjie Li, Sujian Li. 4784-4791 [doi]
• Syntax-Directed Attention for Neural Machine TranslationKehai Chen, Rui Wang 0015, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao. 4792-4799 [doi]
• A Semantic QA-Based Approach for Text Summarization EvaluationPing Chen 0001, Fei Wu 0022, Tong Wang, Wei Ding 0003. 4800-4807 [doi]
• Learning Sentiment-Specific Word Embedding via Global Sentiment RepresentationPeng Fu, Zheng Lin, Fengcheng Yuan, Weiping Wang, Dan Meng. 4808-4815 [doi]
• Knowledge Graph Embedding With Iterative Guidance From Soft RulesShu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo. 4816-4823 [doi]
• 280 Birds With One Stone: Inducing Multilingual Taxonomies From Wikipedia Using Character-Level ClassificationAmit Gupta, Rémi Lebret, Hamza Harkous, Karl Aberer. 4824-4831 [doi]
• Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and TextXu Han, Zhiyuan Liu 0001, Maosong Sun. 4832-4839 [doi]
• FEEL: Featured Event Embedding LearningI-Ta Lee, Dan Goldwasser. 4840-4847 [doi]
• Linguistic Properties Matter for Implicit Discourse Relation Recognition: Combining Semantic Interaction, Topic Continuity and AttributionWenqiang Lei, Yuanxin Xiang, Yuwei Wang, Qian Zhong, Meichun Liu, Min-Yen Kan. 4848-4855 [doi]
• Actionable Email Intent Modeling With Reparametrized RNNsChu-Cheng Lin, Dongyeop Kang, Michael Gamon, Patrick Pantel. 4856-4864 [doi]
• Event Detection via Gated Multilingual Attention MechanismJian Liu, Yubo Chen 0001, Kang Liu 0001, Jun Zhao 0001. 4865-4872 [doi]
• Improving Sequence-to-Sequence Constituency ParsingLemao Liu, Muhua Zhu, Shuming Shi. 4873-4880 [doi]
• Table-to-Text Generation by Structure-Aware Seq2seq LearningTianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui. 4881-4888 [doi]
• Never Retreat, Never Retract: Argumentation Analysis for Political SpeechesStefano Menini, Elena Cabrio, Sara Tonelli, Serena Villata. 4889-4896 [doi]
• AMR Parsing With Cache Transition SystemsXiaochang Peng, Daniel Gildea, Giorgio Satta. 4897-4904 [doi]
• Early Syntactic Bootstrapping in an Incremental Memory-Limited Word LearnerSepideh Sadeghi, Matthias Scheutz. 4905-4912 [doi]
• Recognizing and Justifying Text Entailment Through Distributional Navigation on Definition GraphsVivian Dos Santos Silva, Siegfried Handschuh, André Freitas. 4913-4920 [doi]
• SPINE: SParse Interpretable Neural EmbeddingsAnant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard H. Hovy. 4921-4928 [doi]
• Deep Semantic Role Labeling With Self-AttentionZhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, Xiaodong Shi. 4929-4936 [doi]
• Translating Pro-Drop Languages With Reconstruction ModelsLongyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu. 4937-4945 [doi]
• Event Representations With Tensor-Based CompositionsNoah Weber, Niranjan Balasubramanian, Nathanael Chambers. 4946-4953 [doi]
• Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With ConfidenceRuobing Xie, Zhiyuan Liu 0001, Fen Lin, Leyu Lin. 4954-4961 [doi]
• Multi-Channel Encoder for Neural Machine TranslationHao Xiong, Zhongjun He, Xiaoguang Hu, Hua Wu 0003. 4962-4969 [doi]
• Augmenting End-to-End Dialogue Systems With Commonsense KnowledgeTom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang. 4970-4977 [doi]
• An Unsupervised Model With Attention Autoencoders for Question RetrievalMinghua Zhang, Yunfang Wu. 4978-4986 [doi]
• Sequential Copying NetworksQingyu Zhou, Nan Yang, Furu Wei, Ming Zhou. 4987-4995 [doi]
• Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence ModelingChaitanya Ahuja, Louis-Philippe Morency. 4996-5003 [doi]
• Leveraging Lexical Substitutes for Unsupervised Word Sense InductionDomagoj Alagic, Jan Snajder, Sebastian Padó. 5004-5011 [doi]
• Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear TransformationsMikel Artetxe, Gorka Labaka, Eneko Agirre. 5012-5019 [doi]
• Table-to-Text: Describing Table Region With Natural LanguageJun-Wei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao. 5020-5027 [doi]
• Learning Interpretable Spatial Operations in a Rich 3D Blocks WorldYonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu. 5028-5036 [doi]
• Using k-Way Co-Occurrences for Learning Word EmbeddingsDanushka Bollegala, Yuichi Yoshida, Ken-ichi Kawarabayashi. 5037-5044 [doi]
• Proposition Entailment in Educational Applications Using Deep Neural NetworksFlorin Adrian Bulgarov, Rodney Nielsen. 5045-5052 [doi]
• cw2vec: Learning Chinese Word Embeddings with Stroke n-gram InformationShaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li. 5053-5061 [doi]
• Knowledge-based Word Sense Disambiguation using Topic ModelsDevendra Singh Chaplot, Ruslan Salakhutdinov. 5062-5069 [doi]
• Meta Multi-Task Learning for Sequence ModelingJunkun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang. 5070-5077 [doi]
• IMS-DTM: Incremental Multi-Scale Dynamic Topic ModelsXilun Chen, K. Selçuk Candan, Maria Luisa Sapino. 5078-5085 [doi]
• Zero-Resource Neural Machine Translation with Multi-Agent Communication GameYun Chen, Yang Liu, Victor O. K. Li. 5086-5093 [doi]
• Learning to Compose Task-Specific Tree StructuresJihun Choi, Kang Min Yoo, Sang-goo Lee. 5094-5101 [doi]
• Geometric Relationship between Word and Context RepresentationsJiangTao Feng, Xiaoqing Zheng. 5102-5109 [doi]
• A Knowledge-Grounded Neural Conversation ModelMarjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley. 5110-5117 [doi]
• Learning to Predict Readability Using Eye-Movement Data From Natives and LearnersAna Valeria González-Garduño, Anders Søgaard. 5118-5124 [doi]
• Neural Machine Translation with Gumbel-Greedy DecodingJiatao Gu, Daniel Jiwoong Im, Victor O. K. Li. 5125-5132 [doi]
• Search Engine Guided Neural Machine TranslationJiatao Gu, Yong Wang, KyungHyun Cho, Victor O. K. Li. 5133-5140 [doi]
• Long Text Generation via Adversarial Training with Leaked InformationJiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang. 5141-5148 [doi]
• A Deep Generative Framework for Paraphrase GenerationAnkush Gupta, Arvind Agarwal, Prawaan Singh, Piyush Rai. 5149-5156 [doi]
• Placing Objects in Gesture Space: Toward Incremental Interpretation of Multimodal Spatial DescriptionsTing Han, Casey Kennington, David Schlangen. 5157-5164 [doi]
• Jointly Parse and Fragment Ungrammatical SentencesHoma B. Hashemi, Rebecca Hwa. 5165-5172 [doi]
• Persuasive Influence Detection: The Role of Argument SequencingChristopher Thomas Hidey, Kathleen McKeown. 5173-5180 [doi]
• An Interpretable Generative Adversarial Approach to Classification of Latent Entity Relations in Unstructured SentencesShiou-Tian Hsu, Changsung Moon, Paul Jones 0001, Nagiza F. Samatova. 5181-5188 [doi]
• SciTaiL: A Textual Entailment Dataset from Science Question AnsweringTushar Khot, Ashish Sabharwal, Peter Clark. 5189-5197 [doi]
• Efficient Large-Scale Multi-Modal ClassificationDouwe Kiela, Edouard Grave, Armand Joulin, Tomas Mikolov. 5198-5204 [doi]
• Neural Character-level Dependency Parsing for ChineseHaonan Li, Zhisong Zhang, Yuqi Ju, Hai Zhao. 5205-5212 [doi]
• Conversational Model Adaptation via KL Divergence RegularizationJuncen Li, Ping Luo, Fen Lin, Bo Chen. 5213-5219 [doi]
• Slim Embedding Layers for Recurrent Neural Language ModelsZhongliang Li, Raymond Kulhanek, Shaojun Wang, Yunxin Zhao, Shuang Wu. 5220-5228 [doi]
• Automatic Generation of Text Descriptive Comments for Code BlocksYuding Liang, Kenny Qili Zhu. 5229-5236 [doi]
• BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue SystemsZachary C. Lipton, Xiujun Li, Jianfeng Gao, Lihong Li 0001, Faisal Ahmed 0001, Li Deng. 5237-5244 [doi]
• Customized Nonlinear Bandits for Online Response Selection in Neural Conversation ModelsBing Liu, Tong Yu, Ian Lane, Ole J. Mengshoel. 5245-5252 [doi]
• Empower Sequence Labeling with Task-Aware Neural Language ModelLiyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng 0001, Jiawei Han 0001. 5253-5260 [doi]
• Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word DivergenceQian Liu, Heyan Huang, Guangquan Zhang 0001, Yang Gao, Junyu Xuan, Jie Lu. 5261-5268 [doi]
• Improved Text Matching by Enhancing Mutual InformationYang Liu, Wenge Rong, Zhang Xiong. 5269-5276 [doi]
• Improving Language Modelling with Noise Contrastive EstimationFarhana Ferdousi Liza, Marek Grzes. 5277-5284 [doi]
• Sentence Ordering and Coherence Modeling using Recurrent Neural NetworksLajanugen Logeswaran, Honglak Lee, Dragomir R. Radev. 5285-5292 [doi]
• Eliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network ApproachNurul Lubis, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura. 5293-5300 [doi]
• CoChat: Enabling Bot and Human Collaboration for Task CompletionXufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie. 5301-5308 [doi]
• Fact Checking in Community ForumsTsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Mitra Mohtarami, Georgi Karadzhov, James Glass. 5309-5316 [doi]
• Personalizing a Dialogue System With Transfer Reinforcement LearningKaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, Qiang Yang 0001. 5317-5324 [doi]
• Context Aware Conversational Understanding for Intelligent Agents With a ScreenVishal Ishwar Naik, Angeliki Metallinou, Rahul Goel. 5325-5332 [doi]
• Controlling Global Statistics in Recurrent Neural Network Text GenerationThanapon Noraset, David Demeter, Doug Downey. 5333-5341 [doi]
• Few Shot Transfer Learning BetweenWord Relatedness and Similarity Tasks Using A Gated Recurrent Siamese NetworkJames O'Neill, Paul Buitelaar. 5342-5349 [doi]
• Question-Answering with Grammatically-Interpretable RepresentationsHamid Palangi, Paul Smolensky, Xiaodong He, Li Deng. 5350-5357 [doi]
• Canonical Correlation Inference for Mapping Abstract Scenes to TextNikos Papasarantopoulos, Helen Jiang, Shay B. Cohen. 5358-5365 [doi]
• Exploring the Terrain of Metaphor Novelty: A Regression-Based Approach for Automatically Scoring MetaphorsNatalie Parde, Rodney D. Nielsen. 5366-5373 [doi]
• Two Knowledge-based Methods for High-Performance Sense Distribution LearningTommaso Pasini, Roberto Navigli. 5374-5381 [doi]
• Attention-based Belief or Disbelief Feature Extraction for Dependency ParsingHaoyuan Peng, Lu Liu, Yi Zhou, Junying Zhou, Xiaoqing Zheng. 5382-5389 [doi]
• Multi-Task Learning For Parsing The Alexa Meaning Representation LanguageVittorio Perera, Tagyoung Chung, Thomas Kollar, Emma Strubell. 5390-5397 [doi]
• Bayesian Verb Sense ClusteringDaniel W. Peterson, Martha Palmer. 5398-5405 [doi]
• DeepType: Multilingual Entity Linking by Neural Type System EvolutionJonathan Raiman, Olivier Raiman. 5406-5413 [doi]
• Order-Planning Neural Text Generation From Structured DataLei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui. 5414-5421 [doi]
• A Multi-View Fusion Neural Network for Answer SelectionLei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui. 5422-5429 [doi]
• Generating Sentences Using a Dynamic CanvasHarshil Shah, Bowen Zheng, David Barber. 5430-5437 [doi]
• Deconvolutional Latent-Variable Model for Text Sequence MatchingDinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin. 5438-5445 [doi]
• DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language UnderstandingTao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang. 5446-5455 [doi]
• Improving Variational Encoder-Decoders in Dialogue GenerationXiaoyu Shen, Hui Su, Shuzi Niu, Vera Demberg. 5456-5463 [doi]
• Neural Cross-Lingual Entity LinkingAvirup Sil, Gourab Kundu, Radu Florian, Wael Hamza. 5464-5472 [doi]
• Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive SummarizationAbhishek Kumar Singh, Manish Gupta 0001, Vasudeva Varma. 5473-5480 [doi]
• Spectral Word Embedding with Negative SamplingBehrouz Haji Soleimani, Stan Matwin. 5481-5487 [doi]
• Variational Recurrent Neural Machine TranslationJinsong Su, Shan Wu, Deyi Xiong, Yaojie Lu, Xianpei Han, Biao Zhang. 5488-5495 [doi]
• Incorporating Discriminator in Sentence Generation: a Gibbs Sampling MethodJinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang. 5496-5503 [doi]
• Source-Target Inference Models for Spatial Instruction UnderstandingHao Tan, Mohit Bansal. 5504-5511 [doi]
• Cross Temporal Recurrent Networks for Ranking Question Answer PairsYi Tay, Luu Anh Tuan, Siu Cheung Hui. 5512-5519 [doi]
• Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic DescriptionsJesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone. 5520-5527 [doi]
• Learning Better Name Translation for Cross-Lingual WikificationChen-Tse Tsai, Dan Roth. 5528-5536 [doi]
• Learning Latent Opinions for Aspect-level Sentiment ClassificationBailin Wang, Wei Lu. 5537-5544 [doi]
• MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement LearningLei Wang, Dongxiang Zhang, Lianli Gao, Jingkuan Song, Long Guo, Heng Tao Shen. 5545-5552 [doi]
• Dual Transfer Learning for Neural Machine Translation with Marginal Distribution RegularizationYijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu. 5553-5560 [doi]
• A Neural Transition-Based Approach for Semantic Dependency Graph ParsingYuxuan Wang, Wanxiang Che, Jiang Guo, Ting Liu. 5561-5568 [doi]
• StarSpace: Embed All The Things!Ledell Yu Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston. 5569-5577 [doi]
• Word Attention for Sequence to Sequence Text UnderstandingLijun Wu, Fei Tian, Li Zhao, Jianhuang Lai, Tie-Yan Liu. 5578-5585 [doi]
• Knowledge Enhanced Hybrid Neural Network for Text MatchingYu Wu, Wei Wu, Can Xu, Zhoujun Li. 5586-5593 [doi]
• Neural Response Generation With Dynamic VocabulariesYu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li. 5594-5601 [doi]
• Learning to Extract Coherent Summary via Deep Reinforcement LearningYuxiang Wu, Baotian Hu. 5602-5609 [doi]
• Hierarchical Recurrent Attention Network for Response GenerationChen Xing, Yu Wu, Wei Wu, Yalou Huang, Ming Zhou. 5610-5617 [doi]
• How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory NetworksLinli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du. 5618-5625 [doi]
• Learning Multi-Modal Word Representation Grounded in Visual ContextEloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari. 5626-5633 [doi]
• Memory Fusion Network for Multi-view Sequential LearningAmir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency. 5634-5641 [doi]
• Multi-attention Recurrent Network for Human Communication ComprehensionAmir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency. 5642-5649 [doi]
• Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe AttentionXiangkai Zeng, Cheng Yang, Cunchao Tu, Zhiyuan Liu 0001, Maosong Sun. 5650-5657 [doi]
• Large Scaled Relation Extraction With Reinforcement LearningXiangrong Zeng, Shizhu He, Kang Liu 0001, Jun Zhao 0001. 5658-5665 [doi]
• End-to-End Quantum-like Language Models with Application to Question AnsweringPeng Zhang, Jiabin Niu, Zhan Su, Benyou Wang, Liqun Ma, Dawei Song 0001. 5666-5673 [doi]
• Adaptive Co-attention Network for Named Entity Recognition in TweetsQi Zhang 0001, JinLan Fu, Xiaoyu Liu, Xuanjing Huang. 5674-5681 [doi]
• Neural Networks Incorporating Dictionaries for Chinese Word SegmentationQi Zhang, Xiaoyu Liu, JinLan Fu. 5682-5689 [doi]
• Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNsRui Zhang, Honglak Lee, Lazaros Polymenakos, Dragomir R. Radev. 5690-5697 [doi]
• Asynchronous Bidirectional Decoding for Neural Machine TranslationXiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang. 5698-5705 [doi]
• Medical Exam Question Answering with Large-scale Reading ComprehensionXiao Zhang, Ji Wu, Zhiyang He, Xien Liu, Ying Su. 5706-5713 [doi]
• CoLink: An Unsupervised Framework for User Identity LinkageZexuan Zhong, Yong Cao, Mu Guo, Zaiqing Nie. 5714-5721 [doi]
• Tree-Structured Neural Machine for Linguistics-Aware Sentence GenerationGanbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He. 5722-5729 [doi]
• Elastic Responding Machine for Dialog Generation with Dynamically Mechanism SelectingGanbin Zhou, Ping Luo, Yijun Xiao, Fen Lin, Bo Chen, Qing He. 5730-5737 [doi]
• RNN-Based Sequence-Preserved Attention for Dependency ParsingYi Zhou, Junying Zhou, Lu Liu, JiangTao Feng, Haoyuan Peng, Xiaoqing Zheng. 5738-5746 [doi]
• Generative Adversarial Network Based Heterogeneous Bibliographic Network Representation for Personalized Citation RecommendationXiaoyan Cai, Junwei Han, Libin Yang. 5747-5754 [doi]
• A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error CorrectionShamil Chollampatt, Hwee Tou Ng. 5755-5762 [doi]
• Weakly Supervised Induction of Affective Events by Optimizing Semantic ConsistencyHaibo Ding, Ellen Riloff. 5763-5770 [doi]
• Cross-Lingual Propagation for Deep Sentiment AnalysisXin Dong, Gerard de Melo. 5771-5778 [doi]
• Reinforcement Learning for Relation Classification From Noisy DataJun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu. 5779-5786 [doi]
• Twitter Summarization Based on Social Network and Sparse ReconstructionRuifang He, Xingyi Duan. 5787-5794 [doi]
• SEE: Syntax-Aware Entity Embedding for Neural Relation ExtractionZhengqiu He, Wenliang Chen, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. 5795-5802 [doi]
• Semi-Distantly Supervised Neural Model for Generating Compact Answers to Open-Domain Why QuestionsRyo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Ryu Iida, Canasai Kruengkrai, Julien Kloetzer. 5803-5811 [doi]
• Task-Specific Representation Learning for Web-Scale Entity DisambiguationRijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta 0001, Soumen Chakrabarti. 5812-5819 [doi]
• Byte-Level Machine Reading Across Morphologically Varied LanguagesTom Kenter, Llion Jones, Daniel Hewlett. 5820-5827 [doi]
• A Question-Focused Multi-Factor Attention Network for Question AnsweringSouvik Kundu, Hwee Tou Ng. 5828-5835 [doi]
• Training and Evaluating Improved Dependency-Based Word EmbeddingsChen Li, Jianxin Li, Yangqiu Song, Ziwei Lin. 5836-5843 [doi]
• Inference on Syntactic and Semantic Structures for Machine ComprehensionChenrui Li, Yuanbin Wu, Man Lan. 5844-5851 [doi]
• Hierarchical Attention Transfer Network for Cross-Domain Sentiment ClassificationZheng Li, Ying Wei, Yu Zhang, Qiang Yang 0001. 5852-5859 [doi]
• Dynamic User Profiling for Streams of Short TextsShangsong Liang. 5860-5867 [doi]
• Multi-Task Medical Concept Normalization Using Multi-View Convolutional Neural NetworkYi Luo, Guojie Song, Pengyu Li, Zhongang Qi. 5868-5875 [doi]
• Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTMYukun Ma, Haiyun Peng, Erik Cambria. 5876-5883 [doi]
• Cognition-Cognizant Sentiment Analysis With Multitask Subjectivity Summarization Based on Annotators' Gaze BehaviorAbhijit Mishra, Srikanth Tamilselvam, Riddhiman Dasgupta, Seema Nagar, Kuntal Dey. 5884-5891 [doi]
• Argument Mining for Improving the Automated Scoring of Persuasive EssaysHuy V. Nguyen, Diane J. Litman. 5892-5899 [doi]
• Graph Convolutional Networks With Argument-Aware Pooling for Event DetectionThien Huu Nguyen, Ralph Grishman. 5900-5907 [doi]
• Mention and Entity Description Co-Attention for Entity DisambiguationFeng Nie, Yunbo Cao, Jinpeng Wang, Chin-Yew Lin, Rong Pan. 5908-5915 [doi]
• Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument InteractionLei Sha, Feng Qian, Baobao Chang, Zhifang Sui. 5916-5923 [doi]
• Content and Context: Two-Pronged Bootstrapped Learning for Regex-Formatted Entity ExtractionStanley Simoes, Deepak P, Munu Sairamesh, Deepak Khemani, Sameep Mehta. 5924-5931 [doi]
• Towards a Neural Conversation Model With Diversity Net Using Determinantal Point ProcessesYiping Song, Rui Yan, Yansong Feng, Yaoyuan Zhang, Dongyan Zhao, Ming Zhang. 5932-5939 [doi]
• S-Net: From Answer Extraction to Answer Synthesis for Machine Reading ComprehensionChuanqi Tan, Furu Wei, Nan Yang, Bowen Du, Weifeng Lv, Ming Zhou. 5940-5947 [doi]
• SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text ScoringYi Tay, Minh C. Phan, Luu Anh Tuan, Siu Cheung Hui. 5948-5955 [doi]
• Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment AnalysisYi Tay, Luu Anh Tuan, Siu Cheung Hui. 5956-5963 [doi]
• Investigating Inner Properties of Multimodal Representation and Semantic Compositionality With Brain-Based Componential SemanticsShaonan Wang, Jiajun Zhang, Nan Lin, Chengqing Zong. 5964-5972 [doi]
• Learning Multimodal Word Representation via Dynamic Fusion MethodsShaonan Wang, Jiajun Zhang, Chengqing Zong. 5973-5980 [doi]
• 3: Reinforced Ranker-Reader for Open-Domain Question AnsweringShuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang. 5981-5988 [doi]
• Improving Review Representations With User Attention and Product Attention for Sentiment ClassificationZhen Wu, Xin-Yu Dai, Cunyan Yin, Shujian Huang, Jiajun Chen. 5989-5996 [doi]
• Improving Neural Fine-Grained Entity Typing With Knowledge AttentionJi Xin, Yankai Lin, Zhiyuan Liu 0001, Maosong Sun. 5997-6004 [doi]
• Diagnosing and Improving Topic Models by Analyzing Posterior VariabilityLinzi Xing, Michael J. Paul. 6005-6012 [doi]
• Dual Attention Network for Product Compatibility and Function Satisfiability AnalysisHu Xu, Sihong Xie, Lei Shu, Philip S. Yu. 6013-6020 [doi]
• Assertion-Based QA With Question-Aware Open Information ExtractionZhao Yan, Duyu Tang, Nan Duan, Shujie Liu 0001, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li. 6021-6028 [doi]
• Multi-Entity Aspect-Based Sentiment Analysis With Context, Entity and Aspect MemoryJun Yang, Runqi Yang, Chongjun Wang, Junyuan Xie. 6029-6036 [doi]
• OTyper: A Neural Architecture for Open Named Entity TypingZheng Yuan, Doug Downey. 6037-6044 [doi]
• Scale Up Event Extraction Learning via Automatic Training Data GenerationYing Zeng, Yansong Feng, Rong Ma, Zheng Wang, Rui Yan, Chongde Shi, Dongyan Zhao. 6045-6052 [doi]
• Learning Structured Representation for Text Classification via Reinforcement LearningTianyang Zhang, Minlie Huang, Li Zhao. 6053-6060 [doi]
• Duplicate Question Identification by Integrating FrameNet With Neural NetworksXiaodong Zhang, Xu Sun, Houfeng Wang. 6061-6068 [doi]
• Variational Reasoning for Question Answering With Knowledge GraphYuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J. Smola, Le Song. 6069-6076 [doi]
• Hierarchical Attention Flow for Multiple-Choice Reading ComprehensionHaichao Zhu, Furu Wei, Bing Qin, Ting Liu. 6077-6085 [doi]
• Resource-Constrained Scheduling for Maritime Traffic ManagementLucas Agussurja, Akshat Kumar, Hoong Chuin Lau. 6086-6093 [doi]
• Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic BoundaryMasataro Asai, Alex Fukunaga. 6094-6101 [doi]
• Planning With Pixels in (Almost) Real TimeWilmer Bandres, Blai Bonet, Hector Geffner. 6102-6109 [doi]
• totSAT - Totally-Ordered Hierarchical Planning Through SATGregor Behnke, Daniel Höller, Susanne Biundo. 6110-6118 [doi]
• Sublinear Search Spaces for Shortest Path Planning in Grid and Road NetworksJohannes Blum, Stefan Funke, Sabine Storandt. 6119-6126 [doi]
• Scheduling in Visual Fog Computing: NP-Completeness and Practical Efficient SolutionsHong-Min Chu, Shao-Wen Yang, Padmanabhan Pillai, Yen-Kuang Chen. 6127-6135 [doi]
• Fat- and Heavy-Tailed Behavior in Satisficing PlanningEldan Cohen, J. Christopher Beck. 6136-6143 [doi]
• Finite Sample Analyses for TD(0) With Function ApproximationGal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor. 6144-6160 [doi]
• Synthesis of Orchestrations of Transducers for ManufacturingGiuseppe De Giacomo, Moshe Y. Vardi, Paolo Felli, Natasha Alechina, Brian Logan. 6161-6168 [doi]
• Meta-Search Through the Space of Representations and Heuristics on a Problem by Problem BasisRaquel Fuentetaja, Michael W. Barley, Daniel Borrajo, Jordan Douglas, Santiago Franco, Patricia J. Riddle. 6169-6176 [doi]
• Expressive Real-Time Intersection SchedulingRick Goldstein, Stephen F. Smith. 6177-6185 [doi]
• Planning and Learning for Decentralized MDPs With Event Driven RewardsTarun Gupta, Akshat Kumar, Praveen Paruchuri. 6186-6194 [doi]
• A Recursive Algorithm to Generate Balanced Weekend TournamentsRichard Hoshino. 6195-6201 [doi]
• Plan Recognition in Continuous DomainsGal A. Kaminka, Mor Vered, Noa Agmon. 6202-6210 [doi]
• Semi-Black Box: Rapid Development of Planning Based SolutionsMichael Katz 0001, Dany Moshkovich, Erez Karpas. 6211-6218 [doi]
• Multiagent Simple Temporal Problem: The Arc-Consistency ApproachShufeng Kong, Jae Hee Lee 0001, Sanjiang Li. 6219-6226 [doi]
• Load Scheduling of Simple Temporal Networks Under Dynamic Resource PricingT. K. Satish Kumar, Zhi Wang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock. 6227-6236 [doi]
• On the Relationship Between State-Dependent Action Costs and Conditional Effects in PlanningRobert Mattmüller, Florian Geißer, Benedict Wright, Bernhard Nebel. 6237-6245 [doi]
• Generalized Value Iteration Networks: Life Beyond LatticesSufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovacevic. 6246-6253 [doi]
• Linear and Integer Programming-Based Heuristics for Cost-Optimal Numeric PlanningChiara Piacentini, Margarita P. Castro, André Augusto Ciré, J. Christopher Beck. 6254-6261 [doi]
• Sensor-Based Activity Recognition via Learning From DistributionsHangwei Qian, Sinno Jialin Pan, Chunyan Miao. 6262-6269 [doi]
• Knowledge-Based Policies for Qualitative Decentralized POMDPsAbdallah Saffidine, François Schwarzentruber, Bruno Zanuttini. 6270-6277 [doi]
• Risk-Aware Proactive Scheduling via Conditional Value-at-RiskWen Song, Donghun Kang, Jie Zhang, Hui Xi. 6278-6285 [doi]
• Stackelberg Planning: Towards Effective Leader-Follower State Space SearchPatrick Speicher, Marcel Steinmetz, Michael Backes 0001, Jörg Hoffmann 0001, Robert Künnemann. 6286-6293 [doi]
• Action Schema Networks: Generalised Policies With Deep LearningSam Toyer, Felipe W. Trevizan, Sylvie Thiébaux, Lexing Xie. 6294-6301 [doi]
• Learning Conditional Generative Models for Temporal Point ProcessesShuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha. 6302-6310 [doi]
• Combining Experts' Causal JudgmentsDalal Aljareh, Hana Chockler, Joseph Y. Halpern. 6311-6318 [doi]
• An Experimental Study of Advice in Sequential Decision-Making Under UncertaintyFlorian Benavent, Bruno Zanuttini. 6319-6326 [doi]
• Optimal Approximation of Random Variables for Estimating the Probability of Meeting a Plan DeadlineLiat Cohen, Tal Grinshpoun, Gera Weiss. 6327-6334 [doi]
• Generalized Adjustment Under Confounding and Selection BiasesJuan D. Correa, Jin Tian, Elias Bareinboim. 6335-6342 [doi]
• Armstrong's Axioms and Navigation StrategiesKaya Deuser, Pavel Naumov. 6343-6350 [doi]
• Lifted Generalized Dual DecompositionNicholas Gallo, Alexander T. Ihler. 6351-6358 [doi]
• Learning Mixtures of MLNsMohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal. 6359-6366 [doi]
• RelNN: A Deep Neural Model for Relational LearningSeyed Mehran Kazemi, David Poole 0001. 6367-6375 [doi]
• Approximate Inference via Weighted Rademacher ComplexityJonathan Kuck, Ashish Sabharwal, Stefano Ermon. 6376-6383 [doi]
• Relational Marginal Problems: Theory and EstimationOndrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert. 6384-6391 [doi]
• Anytime Anyspace AND/OR Best-First Search for Bounding Marginal MAPQi Lou, Rina Dechter, Alexander T. Ihler. 6392-6400 [doi]
• A Neural Stochastic Volatility ModelRui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang. 6401-6408 [doi]
• Learning Robust OptionsDaniel J. Mankowitz, Timothy Arthur Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor. 6409-6416 [doi]
• Efficient-UCBV: An Almost Optimal Algorithm Using Variance EstimatesSubhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran. 6417-6424 [doi]
• Hawkes Process Inference With Missing DataChristian R. Shelton, Zhen Qin, Chandini Shetty. 6425-6432 [doi]
• Conditional PSDDs: Modeling and Learning With Modular KnowledgeYujia Shen, Arthur Choi, Adnan Darwiche. 6433-6442 [doi]
• Information Acquisition Under Resource Limitations in a Noisy EnvironmentMatvey Soloviev, Joseph Y. Halpern. 6443-6450 [doi]
• Risk-Sensitive Submodular OptimizationBryan Wilder. 6451-6458 [doi]
• Towards Training Probabilistic Topic Models on Neuromorphic Multi-Chip SystemsZihao Xiao, Jianfei Chen, Jun Zhu. 6459-6467 [doi]
• IONet: Learning to Cure the Curse of Drift in Inertial OdometryChanghao Chen, Xiaoxuan Lu, Andrew Markham, Niki Trigoni. 6468-6476 [doi]
• Improved Results for Minimum Constraint RemovalEduard Eiben, Jonathan Gemmell, Iyad A. Kanj, Andrew Youngdahl. 6477-6484 [doi]
• Safe Reinforcement Learning via Formal Methods: Toward Safe Control Through Proof and LearningNathan Fulton, André Platzer. 6485-6492 [doi]
• Iterative Continuous Convolution for 3D Template Matching and Global LocalizationVitor Guizilini, Fabio Ramos. 6493-6500 [doi]
• Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure DetectionFei Han, Hua Wang, Hao Zhang. 6501-6508 [doi]
• Guiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search ExperienceBeomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez. 6509-6516 [doi]
• Unsupervised Selection of Negative Examples for Grounded Language LearningNisha Pillai, Cynthia Matuszek. 6517-6523 [doi]
• From Virtual Demonstration to Real-World Manipulation Using LSTM and MDNRouhollah Rahmatizadeh, Pooya Abolghasemi, Aman Behal, Ladislau Bölöni. 6524-6531 [doi]
• Building Continuous Occupancy Maps With Moving RobotsRansalu Senanayake, Fabio Ramos. 6532-6539 [doi]
• Phase-Parametric Policies for Reinforcement Learning in Cyclic EnvironmentsArjun Sharma, Kris M. Kitani. 6540-6547 [doi]
• Safe Exploration and Optimization of Constrained MDPs Using Gaussian ProcessesAkifumi Wachi, Yanan Sui, Yisong Yue, Masahiro Ono. 6548-6556 [doi]
• Sweep-Based Propagation for String Constraint SolvingRoberto Amadini, Graeme Gange, Peter J. Stuckey. 6557-6564 [doi]
• MaxSAT Resolution With the Dual Rail EncodingMaria Luisa Bonet, Sam Buss, Alexey Ignatiev, Joao Marques-Silva, António Morgado. 6565-6572 [doi]
• A SAT+CAS Method for Enumerating Williamson Matrices of Even OrderCurtis Bright, Ilias S. Kotsireas, Vijay Ganesh. 6573-6580 [doi]
• Exact MAP-Inference by Confining Combinatorial Search With LP RelaxationStefan Haller, Paul Swoboda, Bogdan Savchynskyy. 6581-6588 [doi]
• Community-Based Trip Sharing for Urban CommutingMohd. Hafiz Hasan, Pascal Van Hentenryck, Ceren Budak, Jiayu Chen, Chhavi Chaudhry. 6589-6597 [doi]
• Schur Number FiveMarijn J. H. Heule. 6598-6606 [doi]
• Towards Generalization in QBF Solving via Machine LearningMikolás Janota. 6607-6614 [doi]
• Verifying Properties of Binarized Deep Neural NetworksNina Narodytska, Shiva Prasad Kasiviswanathan, Leonid Ryzhyk, Mooly Sagiv, Toby Walsh. 6615-6624 [doi]
• Parallel Algorithms for Operations on Multi-Valued Decision DiagramsGuillaume Perez, Jean-Charles Régin. 6625-6632 [doi]
• Premise Set Caching for Enumerating Minimal Correction SubsetsAlessandro Previti, Carlos Mencía, Matti Järvisalo, Joao Marques-Silva. 6633-6640 [doi]
• On Cryptographic Attacks Using Backdoors for SATAlexander Semenov, Oleg Zaikin, Ilya Otpuschennikov, Stepan Kochemazov, Alexey Ignatiev. 6641-6648 [doi]
• Enhancing Constraint-Based Multi-Objective Combinatorial OptimizationMiguel Terra-Neves, Inês Lynce, Vasco M. Manquinho. 6649-6656 [doi]
• Learning Robust Search Strategies Using a Bandit-Based ApproachWei Xia, Roland H. C. Yap. 6657-6665 [doi]
• Learning Spatio-Temporal Features With Partial Expression Sequences for On-the-Fly PredictionWissam J. Baddar, Yong Man Ro. 6666-6673 [doi]
• SEE: Towards Semi-Supervised End-to-End Scene Text RecognitionChristian Bartz, Haojin Yang, Christoph Meinel. 6674-6681 [doi]
• Asymmetric Joint Learning for Heterogeneous Face RecognitionBing Cao, Nannan Wang, Xinbo Gao, Jie Li. 6682-6689 [doi]
• Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency DetectionChunshui Cao, Yongzhen Huang, Zilei Wang, Liang Wang, Ninglong Xu, Tieniu Tan. 6690-6697 [doi]
• Transfer Adversarial Hashing for Hamming Space RetrievalZhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang 0001. 6698-6705 [doi]
• Temporal-Difference Learning With Sampling Baseline for Image CaptioningHui Chen, Guiguang Ding, Sicheng Zhao, Jungong Han. 6706-6713 [doi]
• Order-Free RNN With Visual Attention for Multi-Label ClassificationShang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, Yu-Chiang Frank Wang. 6714-6721 [doi]
• Learning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural NetworksTianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang. 6722-6729 [doi]
• Recurrent Attentional Reinforcement Learning for Multi-Label Image RecognitionTianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin. 6730-6737 [doi]
• MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for TrainingErnest Cheung, Anson Wong, Aniket Bera, Dinesh Manocha. 6738-6747 [doi]
• Self-View Grounding Given a Narrated 360° VideoShih-Han Chou, Yi-Chun Chen, Kuo-Hao Zeng, Hou-Ning Hu, Jianlong Fu, Min Sun. 6748-6755 [doi]
• Using Syntax to Ground Referring Expressions in Natural ImagesVolkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency. 6756-6764 [doi]
• Acquiring Common Sense Spatial Knowledge Through Implicit Spatial TemplatesGuillem Collell, Luc Van Gool, Marie-Francine Moens. 6765-6772 [doi]
• PixelLink: Detecting Scene Text via Instance SegmentationDan Deng, Haifeng Liu, Xuelong Li, Deng Cai. 6773-6780 [doi]
• ExprGAN: Facial Expression Editing With Controllable Expression IntensityHui Ding, Kumar Sricharan, Rama Chellappa. 6781-6788 [doi]
• A Deep Cascade Network for Unaligned Face Attribute ClassificationHui Ding, Hao Zhou, Shaohua Kevin Zhou, Rama Chellappa. 6789-6796 [doi]
• Auto-Balanced Filter Pruning for Efficient Convolutional Neural NetworksXiaohan Ding, Guiguang Ding, Jungong Han, Sheng Tang. 6797-6804 [doi]
• Hierarchical Nonlinear Orthogonal Adaptive-Subspace Self-Organizing Map Based Feature Extraction for Human Action RecognitionYang Du, Chunfeng Yuan, Bing Li, Weiming Hu, Hao Yang, Zhikang Fu, Lili Zhao. 6805-6812 [doi]
• Self-Reinforced Cascaded Regression for Face AlignmentXin Fan, Risheng Liu, Kang Huyan, Yuyao Feng, Zhongxuan Luo. 6813-6820 [doi]
• Learning Pose Grammar to Encode Human Body Configuration for 3D Pose EstimationHaoshu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu, Song Chun Zhu. 6821-6828 [doi]
• Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial AttacksGaurav Goswami, Nalini K. Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa. 6829-6836 [doi]
• Stack-Captioning: Coarse-to-Fine Learning for Image CaptioningJiuxiang Gu, Jianfei Cai, Gang Wang 0012, Tsuhan Chen. 6837-6844 [doi]
• Hierarchical LSTM for Sign Language TranslationDan Guo, Wengang Zhou, Houqiang Li, Meng Wang. 6845-6852 [doi]
• Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-IdentificationHaiyun Guo, Chaoyang Zhao, Zhiwei Liu, Jinqiao Wang, Hanqing Lu. 6853-6860 [doi]
• Residual Encoder Decoder Network and Adaptive Prior for Face ParsingTianchu Guo, Youngsung Kim, Hui Zhang, Deheng Qian, ByungIn Yoo, Jingtao Xu, Dongqing Zou, Jae-Joon Han, Changkyu Choi. 6861-6869 [doi]
• Zero-Shot Learning With Attribute SelectionYuchen Guo, Guiguang Ding, Jungong Han, Sheng Tang. 6870-6877 [doi]
• Doing the Best We Can With What We Have: Multi-Label Balancing With Selective Learning for Attribute PredictionEmily M. Hand, Carlos D. Castillo, Rama Chellappa. 6878-6885 [doi]
• CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual GenerationWang-Li Hao, Zhaoxiang Zhang, He Guan. 6886-6893 [doi]
• Integrating Both Visual and Audio Cues for Enhanced Video CaptionWang-Li Hao, Zhaoxiang Zhang, He Guan. 6894-6901 [doi]
• Merge or Not? Learning to Group Faces via Imitation LearningYue He, Kaidi Cao, Cheng Li, Chen Change Loy. 6902-6909 [doi]
• Unsupervised Deep Learning of Mid-Level Video Representation for Action RecognitionJingyi Hou, Xinxiao Wu, Jin Chen, Jiebo Luo, Yunde Jia. 6910-6917 [doi]
• Dual-Reference Face RetrievalBingZhang Hu, Feng Zheng, Ling Shao 0001. 6918-6925 [doi]
• Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention NetworkTao Hu, Honggang Qi, Jizheng Xu, Qingming Huang. 6926-6933 [doi]
• Learning Adaptive Hidden Layers for Mobile Gesture RecognitionTing-Kuei Hu, Yen-Yu Lin, Pi-Cheng Hsiu. 6934-6942 [doi]
• Recurrently Aggregating Deep Features for Salient Object DetectionXiaowei Hu, Lei Zhu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng. 6943-6950 [doi]
• SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement LearningJingjia Huang, Nannan Li, Tao Zhang, Ge Li, Tiejun Huang, Wen Gao 0001. 6951-6958 [doi]
• Learning to Guide Decoding for Image CaptioningWenhao Jiang, Lin Ma, Xinpeng Chen, Hanwang Zhang, Wei Liu. 6959-6966 [doi]
• Deep Low-Resolution Person Re-IdentificationJiening Jiao, Wei-Shi Zheng, Ancong Wu, Xiatian Zhu, Shaogang Gong. 6967-6974 [doi]
• Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign RecognitionJun-Sik Kim, SeokJu Lee, Tae Hyun Oh, In-So Kweon. 6975-6982 [doi]
• Multispectral Transfer Network: Unsupervised Depth Estimation for All-Day VisionNamil Kim, Yukyung Choi, Soonmin Hwang, In-So Kweon. 6983-6991 [doi]
• Generating Triples With Adversarial Networks for Scene Graph ConstructionMatthew Klawonn, Eric Heim. 6992-6999 [doi]
• Action Prediction From Videos via Memorizing Hard-to-Predict SamplesYu Kong, Shangqian Gao, Bin Sun, Yun Fu. 7000-7007 [doi]
• Robust Collaborative Discriminative Learning for RGB-Infrared TrackingXiangyuan Lan, Mang Ye, Shengping Zhang, Pong C. Yuen. 7008-7015 [doi]
• End-to-End United Video Dehazing and DetectionBoyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng. 7016-7023 [doi]
• Weakly Supervised Salient Object Detection Using Image LabelsGuanbin Li, Yuan Xie 0004, Liang Lin. 7024-7031 [doi]
• Brute-Force Facial Landmark Analysis With a 140, 000-Way ClassifierMengtian Li, László A. Jeni, Deva Ramanan. 7032-7040 [doi]
• 2Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene ClassificationYabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang, Tieniu Tan. 7041-7048 [doi]
• Deep Semantic Structural Constraints for Zero-Shot LearningYan Li, Zhen Jia, Junge Zhang, Kaiqi Huang, Tieniu Tan. 7049-7056 [doi]
• Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face VerificationYi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan. 7057-7064 [doi]
• Video Generation From TextYitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin. 7065-7072 [doi]
• R-FCN++: Towards Accurate Region-Based Fully Convolutional Networks for Object DetectionZeming Li, Yilun Chen, Gang Yu, Yangdong Deng. 7073-7080 [doi]
• Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-IdentificationZhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, Min Xu. 7081-7088 [doi]
• Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body JointGuoqiang Liang, Xuguang Lan, Kang Zheng, Song Wang, Nanning Zheng. 7089-7097 [doi]
• Visual Relationship Detection With Deep Structural RankingKongming Liang, Yuhong Guo, Hong Chang, Xilin Chen. 7098-7105 [doi]
• Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human ActionsWei Liang, Yixin Zhu, Song Chun Zhu. 7106-7113 [doi]
• Learning Efficient Point Cloud Generation for Dense 3D Object ReconstructionChen-Hsuan Lin, Chen Kong, Simon Lucey. 7114-7121 [doi]
• Multi-Scale Face Restoration With Sequential Gating Ensemble NetworkJianxin Lin, Tiankuang Zhou, Zhibo Chen 0001. 7122-7129 [doi]
• Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous FusionWeiyao Lin, Chongyang Zhang, Ke Lu, Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong. 7130-7137 [doi]
• T-C3D: Temporal Convolutional 3D Network for Real-Time Action RecognitionKun Liu, Wu Liu, Chuang Gan, Mingkui Tan, Huadong Ma. 7138-7145 [doi]
• Cross-Domain Human Parsing via Adversarial Feature and Label AdaptationSi Liu, Yao Sun, Defa Zhu, Guanghui Ren, Yu Chen, Jiashi Feng, Jizhong Han. 7146-7153 [doi]
• Char-Net: A Character-Aware Neural Network for Distorted Scene Text RecognitionWei Liu, Chaofeng Chen, Kwan-Yee K. Wong. 7154-7161 [doi]
• Semi-Supervised Bayesian Attribute Learning for Person Re-IdentificationWenhe Liu, Xiaojun Chang, Ling Chen, Yi Yang. 7162-7169 [doi]
• A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose EstimationWenTao Liu, Jie Chen, Cheng Li, Chen Qian 0006, Xiao Chu, Xiaolin Hu. 7170-7177 [doi]
• Dictionary Learning Inspired Deep Network for Scene RecognitionYang Liu, Qingchao Chen, Wei Chen, Ian J. Wassell. 7178-7185 [doi]
• PoseHD: Boosting Human Detectors Using Human Pose InformationZhijian Liu, Bowen Pan, Yuliang Xiu, Cewu Lu. 7186-7193 [doi]
• SqueezedText: A Real-Time Scene Text Recognition by Binary Convolutional Encoder-Decoder NetworkZichuan Liu, Yixing Li, Fengbo Ren, Wang Ling Goh, Hao Yu. 7194-7201 [doi]
• Multimodal Keyless Attention Fusion for Video ClassificationXiang Long, Chuang Gan, Gerard de Melo, Xiao Liu, Yandong Li, Fu Li, Shilei Wen. 7202-7209 [doi]
• Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant AttributesYang Long, Li Liu, Yuming Shen, Ling Shao 0001. 7210-7217 [doi]
• Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question AnsweringPan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang. 7218-7225 [doi]
• Unsupervised Articulated Skeleton Extraction From Point Set Sequences Captured by a Single Depth CameraXuequan Lu, Honghua Chen, Sai Kit Yeung, Zhigang Deng, Wenzhi Chen. 7226-7234 [doi]
• Curve-Structure Segmentation From Depth Maps: A CNN-Based Approach and Its Application to Exploring Cultural Heritage ObjectsYuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Smith, Colin Wilder, Song Wang. 7235-7242 [doi]
• Multi-Channel Pyramid Person Matching Network for Person Re-IdentificationChaojie Mao, Yingming Li, Yaqing Zhang, Zhongfei Zhang, Xi Li. 7243-7250 [doi]
• UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census LossSimon Meister, Junhwa Hur, Stefan Roth 0001. 7251-7259 [doi]
• Weakly Supervised Collective Feature Learning From Curated MediaYusuke Mukuta, Akisato Kimura, David B. Adrian, Zoubin Ghahramani. 7260-7267 [doi]
• Asking Friendly Strangers: Non-Semantic Attribute TransferNils Murrugarra-Llerena, Adriana Kovashka. 7268-7275 [doi]
• Spatial as Deep: Spatial CNN for Traffic Scene UnderstandingXingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, Xiaoou Tang. 7276-7283 [doi]
• Adaptive Feature Abstraction for Translating Video to TextYunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin. 7284-7291 [doi]
• Scene-Centric Joint Parsing of Cross-View VideosHang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song Chun Zhu. 7292-7299 [doi]
• Exploring Human-Like Attention Supervision in Visual Question AnsweringTingting Qiao, Jianfeng Dong, Duanqing Xu. 7300-7307 [doi]
• RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality AssessmentHongyu Ren, Diqi Chen, Yizhou Wang 0001. 7308-7314 [doi]
• Extreme Low Resolution Activity Recognition With Multi-Siamese Embedding LearningMichael S. Ryoo, Kiyoon Kim, Hyun Jong Yang. 7315-7322 [doi]
• Top-Down Feedback for Crowd Counting Convolutional Neural NetworkDeepak Babu Sam, R. Venkatesh Babu. 7323-7330 [doi]
• Game of Sketches: Deep Recurrent Models of Pictionary-Style Word GuessingRavi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu. 7331-7338 [doi]
• DLPaper2Code: Auto-Generation of Code From Deep Learning Research PapersAkshay Sethi, Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani. 7339-7346 [doi]
• Region-Based Quality Estimation Network for Large-Scale Person Re-IdentificationGuanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai. 7347-7354 [doi]
• Adversarial Discriminative Heterogeneous Face RecognitionLingxiao Song, Man Zhang, Xiang Wu, Ran He. 7355-7362 [doi]
• Learning Binary Residual Representations for Domain-Specific Video StreamingYi-Hsuan Tsai, Ming-Yu Liu 0001, Deqing Sun, Ming-Hsuan Yang 0001, Jan Kautz. 7363-7370 [doi]
• Diverse Beam Search for Improved Description of Complex ScenesAshwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra. 7371-7379 [doi]
• Movie Question Answering: Remembering the Textual Cues for Layered Visual ContentsBo Wang, Youjiang Xu, Yahong Han, Richang Hong. 7380-7387 [doi]
• Supervised Deep Hashing for Hierarchical Labeled DataDan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Guihua Wen, Liqiang Nie, Xianling Mao. 7388-7395 [doi]
• Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial TrainingJing Wang, Jianlong Fu, Jinhui Tang, Zechao Li, Tao Mei. 7396-7403 [doi]
• Cooperative Training of Deep Aggregation Networks for RGB-D Action RecognitionPichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu. 7404-7411 [doi]
• Temporal-Enhanced Convolutional Network for Person Re-IdentificationYang Wu, Jie Qiu, Jun Takamatsu, Tsukasa Ogasawara. 7412-7419 [doi]
• Transferable Semi-Supervised Semantic SegmentationHuaxin Xiao, Yunchao Wei, Yu Liu, Maojun Zhang, Jiashi Feng. 7420-7427 [doi]
• Emphasizing 3D Properties in Recurrent Multi-View Aggregation for 3D Shape RetrievalCheng Xu, Biao Leng, Cheng Zhang, Xiaochen Zhou. 7428-7435 [doi]
• Unsupervised Part-Based Weighting Aggregation of Deep Convolutional Features for Image RetrievalJian Xu, Cunzhao Shi, Cheng-Zuo Qi, Chunheng Wang, Baihua Xiao. 7436-7443 [doi]
• Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionSijie Yan, Yuanjun Xiong, Dahua Lin. 7444-7452 [doi]
• Domain-Shared Group-Sparse Dictionary Learning for Unsupervised Domain AdaptationBaoyao Yang, Andy Jinhua Ma, Pong C. Yuen. 7453-7460 [doi]
• Multi-Scale Bidirectional FCN for Object Skeleton ExtractionFan Yang, Xin Li, Hong Cheng, Yuxiao Guo, Leiting Chen, Jianping Li. 7461-7468 [doi]
• Understanding Image Impressiveness Inspired by Instantaneous Human Perceptual CuesJufeng Yang, Yan Sun, Jie Liang, Yong-Liang Yang, Ming-Ming Cheng. 7469-7476 [doi]
• Exploring Temporal Preservation Networks for Precise Temporal Action LocalizationKe Yang, Peng Qiao, Dongsheng Li, Shaohe Lv, Yong Dou. 7477-7484 [doi]
• Towards Perceptual Image Dehazing by Physics-Based Disentanglement and Adversarial TrainingXitong Yang, Zheng Xu, Jiebo Luo. 7485-7492 [doi]
• Unsupervised Learning of Geometry From Videos With Edge-Aware Depth-Normal ConsistencyZhenheng Yang, Peng Wang, Wei Xu, Liang Zhao, Ramakant Nevatia. 7493-7500 [doi]
• Hierarchical Discriminative Learning for Visible Thermal Person Re-IdentificationMang Ye, Xiangyuan Lan, Jiawei Li, Pong C. Yuen. 7501-7508 [doi]
• Co-Saliency Detection Within a Single ImageHongkai Yu, Kang Zheng, Jianwu Fang, Hao Guo, Wei Feng 0005, Song Wang. 7509-7516 [doi]
• Deep Stereo Matching With Explicit Cost Aggregation Sub-ArchitectureLidong Yu, Yucheng Wang, Yuwei Wu, Yunde Jia. 7517-7524 [doi]
• A Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360◦ VideoYoungjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim. 7525-7533 [doi]
• Mix-and-Match Tuning for Self-Supervised Semantic SegmentationXiaohang Zhan, Ziwei Liu, Ping Luo, Xiaoou Tang, Chen Change Loy. 7534-7541 [doi]
• Audio Visual Attribute Discovery for Fine-Grained Object RecognitionHua Zhang, Xiaochun Cao, Rui Wang. 7542-7549 [doi]
• Kill Two Birds With One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag RefinementJunjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu. 7550-7557 [doi]
• Face Sketch Synthesis From Coarse to FineMingjin Zhang, Nannan Wang, Yunsong Li, Ruxin Wang, Xinbo Gao. 7558-7565 [doi]
• Accelerated Training for Massive Classification via Dynamic Class SelectionXingcheng Zhang, Lei Yang, Junjie Yan, Dahua Lin. 7566-7573 [doi]
• FLIC: Fast Linear Iterative Clustering With Active SearchJiaxing Zhao, Bo Ren, Qibin Hou, Ming-Ming Cheng, Paul L. Rosin. 7574-7581 [doi]
• Deep Reinforcement Learning for Unsupervised Video Summarization With Diversity-Representativeness RewardKaiyang Zhou, Yu Qiao, Tao Xiang. 7582-7589 [doi]
• Towards Automatic Learning of Procedures From Web Instructional VideosLuowei Zhou, Chenliang Xu, Jason J. Corso. 7590-7598 [doi]
• Graph Correspondence Transfer for Person Re-IdentificationQin Zhou, Heng Fan, Shibao Zheng, Hang Su, Xinzhe Li, Shuang Wu, Haibin Ling. 7599-7606 [doi]
• Progressive Cognitive Human ParsingBingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang. 7607-7614 [doi]
• Learning Adversarial 3D Model Generation With 2D Image EnhancerJing Zhu, Jin Xie, Yi Fang. 7615-7622 [doi]
• Deep Structured Learning for Visual Relationship DetectionYaohui Zhu, Shuqiang Jiang. 7623-7630 [doi]
• HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship DetectionBohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid 0001, Anton van den Hengel. 7631-7638 [doi]
• 3D Box Proposals From a Single Monocular Image of an Indoor SceneWei Zhuo 0004, Mathieu Salzmann, Xuming He, Miaomiao Liu. 7639-7647 [doi]
• Understanding Human Behaviors in Crowds by Imitating the Decision-Making ProcessHaosheng Zou, Hang Su, Shihong Song, Jun Zhu. 7648-7656 [doi]
• Secure and Automated Enterprise Revenue ForecastingJocelyn Barker, Amita Gajewar, Konstantin Golyaev, Gagan Bansal, Matt Conners. 7657-7664 [doi]
• Sketch Worksheets in STEM Classrooms: Two DeploymentsKenneth D. Forbus, Bridget Garnier, Basil Tikoff, Wayne Marko, Madeline Usher, Matthew D. McLure. 7665-7672 [doi]
• An Automated Employee Timetabling System for Small BusinessesRichard Hoshino, Aaron Slobodin, William Bernoudy. 7673-7679 [doi]
• Horizontal Scaling With a Framework for Providing AI Solutions Within a Game CompanyJohn F. Kolen, Mohsen Sardari, Marwan Mattar, Nick Peterson, Meng Wu. 7680-7687 [doi]
• Hi, How Can I Help You?: Automating Enterprise IT Support Help DesksSenthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta 0002, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan. 7688-7695 [doi]
• Sentient Ascend: AI-Based Massively Multivariate Conversion Rate OptimizationRisto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ryan Rapp, Sam Nazari, Patrick McGrath, Cory Schoolland, Elyas Achkar, Myles Brundage, Jeremy Miller, Jonathan Epstein, Gurmeet Lamba. 7696-7703 [doi]
• SmartHS: An AI Platform for Improving Government Service ProvisionYongqing Zheng, Han Yu, LiZhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang 0001. 7704-7712 [doi]
• Bandit-Based Solar Panel ControlDavid Abel, Edward C. Williams, Stephen Brawner, Emily Reif, Michael L. Littman. 7713-7718 [doi]
• Death vs. Data Science: Predicting End of LifeMuhammad A. Ahmad, Carly Eckert, Greg McKelvey, Kiyana Zolfaghar, Anam Zahid, Ankur Teredesai. 7719-7726 [doi]
• CRM Sales Prediction Using Continuous Time-Evolving ClassificationMohamoud Ali, Yugyung Lee. 7727-7734 [doi]
• Novel Exploration Techniques (NETs) for Malaria Policy InterventionsOliver Bent, Sekou L. Remy, Stephen Roberts, Aisha Walcott-Bryant. 7735-7740 [doi]
• SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real TimeElizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia. 7741-7746 [doi]
• InspireMe: Learning Sequence Models for StoriesVincent Fortuin, Romann M. Weber, Sasha Schriber, Diana Wotruba, Markus H. Gross. 7747-7752 [doi]
• Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic SearchJonathan Galsurkar, Moninder Singh, Lingfei Wu, Aditya Vempaty, Mikhail Sushkov, Devika Iyer, Serge Kapto, Kush R. Varshney. 7753-7758 [doi]
• Classification of Malware by Using Structural Entropy on Convolutional Neural NetworksDaniel Gibert, Carles Mateu, Jordi Planes, Ramon Vicens. 7759-7764 [doi]
• Optimal Pricing for Distance-Based Transit FaresRichard Hoshino, Jeneva Beairsto. 7765-7770 [doi]
• Discovering Program Topoi Through ClusteringCarlo Ieva, Arnaud Gotlieb, Souhila Kaci, Nadjib Lazaar. 7771-7778 [doi]
• Upping the Game of Taxi Driving in the Age of UberShashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Trong Khiem Tran, Pradeep Varakantham, Trong Nghia Truong, Firmansyah Bin Abd Rahman. 7779-7785 [doi]
• Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data SetsMotoyuki Oki, Koh Takeuchi, Yukio Uematsu. 7786-7792 [doi]
• Multi-Task Deep Learning for Predicting Poverty From Satellite ImagesShailesh M. Pandey, Tushar Agarwal, Narayanan C. Krishnan. 7793-7798 [doi]
• Investigating the Role of Ensemble Learning in High-Value Wine IdentificationLuigi Portinale, Monica Locatelli. 7799-7804 [doi]
• Learning to Become an Expert: Deep Networks Applied to Super-Resolution MicroscopyLouis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal. 7805-7810 [doi]
• Computer-Assisted Authoring for Natural Language Story ScriptsRushit Sanghrajka, Wojciech Witon, Sasha Schriber, Markus H. Gross, Mubbasir Kapadia. 7811-7818 [doi]
• A Water Demand Prediction Model for Central IndianaSetu Shah, Mahmood Hosseini, Zina Ben-Miled, Rebecca Shafer, Steve Berube. 7819-7824 [doi]
• TipMaster: A Knowledge Base of Authoritative Local News Sources on Social MediaXin Shuai, Xiaomo Liu, Armineh Nourbakhsh, Sameena Shah, Tonya Custis. 7825-7830 [doi]
• Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision TreesDennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé. 7831-7836 [doi]
• Aida: Intelligent Image Analysis to Automatically Detect Poems in Digital Archives of Historic NewspapersLeen-Kiat Soh, Elizabeth Lorang, Yi Liu. 7837-7842 [doi]
• VoC-DL: Revisiting Voice Of Customer Using Deep LearningSusheel Suresh, Guru Rajan T. S, Vipin Gopinath. 7843-7848 [doi]
• DarkEmbed: Exploit Prediction With Neural Language ModelsNazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman. 7849-7854 [doi]
• Gesture Annotation With a Visual Search Engine for Multimodal Communication ResearchSergiy Turchyn, Inés Olza Moreno, Cristóbal Pagán Cánovas, Francis F. Steen, Mark Turner, Javier Valenzuela, Soumya Ray. 7855-7860 [doi]
• Mars Target Encyclopedia: Rock and Soil Composition Extracted From the LiteratureKiri L. Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, Nina L. Lanza. 7861-7866 [doi]
• Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging AtlasKiri L. Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda, Jordan Padams. 7867-7872 [doi]
• Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-CommerceTom Zahavy, Abhinandan Krishnan, Alessandro Magnani, Shie Mannor. 7873-7881 [doi]
• Batting Order Setup in One Day International CricketMasoumeh Izadi, Simranjeet Narula. 7882-7883 [doi]
• AI Challenges in Synthetic Biology EngineeringFusun Yaman, Aaron Adler, Jacob Beal. 7884-7886 [doi]
• Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future ChallengesYukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima. 7887-7892 [doi]
• Gesturing and Embodiment in Teaching: Investigating the Nonverbal ‎Behavior of Teachers in a Virtual Rehearsal Environment ‎Roghayeh Barmaki, Charles E. Hughes. 7893-7899 [doi]
• Introducing Ethical Thinking About Autonomous Vehicles Into an AI CourseHeidi Furey, Fred Martin. 7900-7905 [doi]
• Dropout Model Evaluation in MOOCsJosh Gardner, Christopher Brooks. 7906-7912 [doi]
• Investigating Active Learning for Concept Prerequisite LearningChen Liang, Jianbo Ye, Shuting Wang, Bart Pursel, C. Lee Giles. 7913-7919 [doi]
• Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector SpaceYuetian Luo, Zachary A. Pardos. 7920-7927 [doi]
• An E-Learning Recommender That Helps Learners Find the Right MaterialsBlessing Mbipom, Stewart Massie, Susan Craw. 7928-7933 [doi]
• Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development TestsJunpei Naito, Yukino Baba, Hisashi Kashima, Takenori Takaki, Takuya Funo. 7934-7940 [doi]
• On the Importance of a Research Data ArchiveBenedict Wright, Oliver Brunner, Bernhard Nebel. 7941-7947 [doi]
• Addressing the Technical, Philosophical, and Ethical Issues of Artificial Intelligence Through Active Learning Class AssignmentsPamela K. Fink. 7948-7949 [doi]
• Introducing Machine Learning Concepts by Training a Neural Network to Recognize Hand GesturesAlessandro Giusti, David Huber, Luca Maria Gambardella. 7950-7951 [doi]
• Mighty Thymio for University-Level Educational RoboticsJérôme Guzzi, Alessandro Giusti, Gianni A. Di Caro, Luca Maria Gambardella. 7952-7953 [doi]
• A Driving License for Intelligent SystemsMartin Kandlhofer, Gerald Steinbauer. 7954-7955 [doi]
• Introducing AI to Undergraduate Students via Computer Vision ProjectsKaiman Zeng, Yancheng Li, Yida Xu, Di Wu, Nansong Wu. 7956-7958 [doi]
• Model AI Assignments 2018Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth. 7959-7961 [doi]
• Clustering - What Both Theoreticians and Practitioners Are Doing WrongShai Ben-David. 7962-7964 [doi]
• Learning Constraints From ExamplesLuc De Raedt, Andrea Passerini, Stefano Teso. 7965-7970 [doi]
• Computational Social Choice and Computational Complexity: BFFs?Lane A. Hemaspaandra. 7971-7977 [doi]
• AI Meets ChemistryAkihiro Kishimoto, Beat Buesser, Adi Botea. 7978-7982 [doi]
• Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent AgentsJohn E. Laird, Shiwali Mohan. 7983-7987 [doi]
• Imagination Machines: A New Challenge for Artificial IntelligenceSridhar Mahadevan. 7988-7993 [doi]
• Engineering Pro-Sociality With Autonomous AgentsAna Paiva, Fernando P. Santos, Francisco C. Santos. 7994-7999 [doi]
• A Brief History and Recent Achievements in Bidirectional SearchNathan R. Sturtevant, Ariel Felner. 8000-8007 [doi]
• FgER: Fine-Grained Entity RecognitionAbhishek Abhishek. 8008-8009 [doi]
• Abstraction Sampling in Graphical ModelsFiljor Broka. 8010-8011 [doi]
• Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test in UgandaShahrzad Gholami. 8012-8013 [doi]
• Reasonableness MonitorsLeilani H. Gilpin. 8014-8015 [doi]
• Decomposition-Based Solving Approaches for Stochastic Constraint OptimisationDavid Hemmi. 8016-8017 [doi]
• Probabilistic Planning With Influence DiagramsJunkyu Lee. 8018-8019 [doi]
• Guaranteed Plans for Multi-Robot Systems via Optimization Modulo TheoriesFrancesco Leofante. 8020-8021 [doi]
• Sequential Decision Making in Artificial Musical IntelligenceElad Liebman. 8022-8023 [doi]
• Adaptive and Dynamic Team Formation for Strategic and Tactical PlanningSara Marie McCarthy. 8024-8025 [doi]
• Complexity of Optimally Defending and Attacking a NetworkKamran Najeebullah. 8026-8027 [doi]
• Constraint Satisfaction Techniques for Combinatorial ProblemsDavid E. Narváez. 8028-8029 [doi]
• Reading With Robots: Towards a Human-Robot Book Discussion System for Elderly AdultsNatalie Parde. 8030-8031 [doi]
• Cross-Lingual Learning With Distributed RepresentationsMatús Pikuliak. 8032-8033 [doi]
• Game-Theoretic Threat Screening and Deceptive Techniques for Cyber DefenseAaron Schlenker. 8034-8035 [doi]
• Hierarchical Methods for a Unified Approach to Discourse, Domain, and Style in Neural Conversational ModelsJoão Sedoc. 8036-8037 [doi]
• Efficiency and Safety in Autonomous Vehicles Through Planning With UncertaintyZachary N. Sunberg. 8038-8039 [doi]
• Identifying Private Content for Online Image SharingAshwini Tonge. 8040-8041 [doi]
• Enhancing Machine Learning Classification for Electrical Time Series ApplicationsMark Valovage. 8042-8043 [doi]
• Building More Explainable Artificial Intelligence With ArgumentationZhiwei Zeng, Chunyan Miao, Cyril Leung, Jing Jih Chin. 8044-8046 [doi]
• Plan-Based Intention RevisionAdam Amos-Binks, R. Michael Young. 8047-8048 [doi]
• Training Autoencoders in Sparse DomainBiswarup Bhattacharya, Arna Ghosh, Somnath Basu Roy Chowdhury. 8049-8050 [doi]
• Learning to Detect Pointing Gestures From Wearable IMUsDenis Broggini, Boris Gromov, Alessandro Giusti, Luca Maria Gambardella. 8051-8052 [doi]
• Proposition Entailment in Educational Applications using Deep Neural NetworksFlorin Adrian Bulgarov, Rodney Nielsen. 8053-8054 [doi]
• Conditional Linear RegressionDiego Calderon, Brendan Juba, Zongyi Li, Lisa Ruan. 8055-8056 [doi]
• FR-ANet: A Face Recognition Guided Facial Attribute Classification NetworkJiajiong Cao, Yingming Li, Xi Li, Zhongfei Zhang. 8057-8058 [doi]
• A Stratified Feature Ranking Method for Supervised Feature SelectionRenjie Chen, Xiaojun Chen 0006, Guowen Yuan, Wenya Sun, Qingyao Wu. 8059-8060 [doi]
• Selecting Proper Multi-Class SVM Training MethodsYawen Chen, Zeyi Wen, Jian Chen, Jin Huang 0003. 8061-8062 [doi]
• Negative-Aware Influence Maximization on Social NetworksYipeng Chen, Hongyan Li, Qiang Qu. 8063-8064 [doi]
• Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-TrainingBowen Cheng, Ding Liu, Zhangyang Wang, Haichao Zhang, Thomas S. Huang. 8065-8066 [doi]
• "Did I Say Something Wrong?": Towards a Safe Collaborative ChatbotMerav Chkroun, Amos Azaria. 8067-8068 [doi]
• Preliminary Results on Exploration-Driven Satisfiability SolvingMd. Solimul Chowdhury, Martin Müller, Jia-Huai You. 8069-8070 [doi]
• Multi-Label Community-Based Question Classification via Personalized Sequence Memory Network LearningXinyu Duan, Sheng-yu Zhang, Zhou Zhao, Fei Wu 0001, Yueting Zhuang. 8071-8072 [doi]
• Adversarial Goal Generation for Intrinsic MotivationIshan Durugkar, Peter Stone. 8073-8074 [doi]
• Deep Modeling of Social Relations for RecommendationWenqi Fan, Qing Li, Min Cheng. 8075-8076 [doi]
• Learning Feature Representations for Keyphrase ExtractionCorina Florescu, Wei Jin. 8077-8078 [doi]
• A Framework for Evaluating Barriers to the Democratization of Artificial IntelligenceColin Garvey. 8079-8080 [doi]
• AdGAP: Advanced Global Average PoolingArna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury. 8081-8082 [doi]
• Enhancing RNN Based OCR by Transductive Transfer Learning From Text to ImagesYang He, Jingling Yuan, Lin Li. 8083-8084 [doi]
• Bayesian Optimization Meets Search Based Optimization: A Hybrid Approach for Multi-Fidelity OptimizationEllis Hoag, Janardhan Rao Doppa. 8085-8086 [doi]
• Towards Experienced Anomaly Detector Through Reinforcement LearningChengqiang Huang, Yulei Wu, Yuan Zuo, Ke Pei, Geyong Min. 8087-8088 [doi]
• Dynamic Detection of Communities and Their Evolutions in Temporal Social NetworksYaowei Huang, Jinghuan Shang, Bill Y. Lin, Luoyi Fu, Xinbing Wang. 8089-8090 [doi]
• StackReader: An RNN-Free Reading Comprehension ModelYibo Jiang, Zhou Zhao. 8091-8092 [doi]
• Generating Image Captions in Arabic Using Root-Word Based Recurrent Neural Networks and Deep Neural NetworksVasu Jindal. 8093-8094 [doi]
• Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format TestsShumin Jing, Sheng Li. 8095-8096 [doi]
• Learning Abduction Under Partial ObservabilityBrendan Juba, Zongyi Li, Evan Miller. 8097-8098 [doi]
• Identifying Emotional Support in Online Health CommunitiesHamed Khanpour, Cornelia Caragea, Prakhar Biyani. 8099-8100 [doi]
• Skyline Computation for Low-Latency Image-Activated Cell IdentificationKenichi Koizumi, Kei Hiraki, Mary Inaba. 8101-8102 [doi]
• Consonant-Vowel Sequences as Subword Units for Code-Mixed LanguagesUpendra Kumar, Vishal Singh, Chris Andrew Gadde, Santhoshini Reddy, Amitava Das. 8103-8104 [doi]
• Sentiment Lexicon Enhanced Attention-Based LSTM for Sentiment ClassificationZeyang Lei, Yujiu Yang, Min Yang 0007. 8105-8106 [doi]
• NuMWVC: A Novel Local Search for Minimum Weighted Vertex Cover ProblemRuizhi Li, Shaowei Cai, Shuli Hu, Minghao Yin, Jian Gao. 8107-8108 [doi]
• Generative Adversarial Network for Abstractive Text SummarizationLinqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li. 8109-8110 [doi]
• A Novel Embedding Method for News Diffusion PredictionRuoran Liu, Qiudan Li, Can Wang, Lei Wang, Daniel Dajun Zeng. 8111-8112 [doi]
• Imitation Upper Confidence Bound for Bandits on a GraphAndrei Lupu, Doina Precup. 8113-8114 [doi]
• Semantic Understanding for Contextual In-Video AdvertisingRishi Madhok, Shashank Mujumdar, Nitin Gupta, Sameep Mehta. 8115-8116 [doi]
• Decision Making Over Combinatorially-Structured DomainsAndrea Martin, Kristen Brent Venable. 8117-8118 [doi]
• Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney ExchangeDuncan C. McElfresh, John P. Dickerson. 8119-8120 [doi]
• Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and ModelsZhao Meng, Lili Mou, Zhi Jin. 8121-8122 [doi]
• Exploring the Use of Shatter for AllSAT Through Ramsey-Type ProblemsDavid E. Narváez. 8123-8124 [doi]
• Constructing Hierarchical Bayesian Networks With PoolingKaneharu Nishino, Mary Inaba. 8125-8126 [doi]
• Goal Recognition in Incomplete Domain ModelsRamon Fraga Pereira, Felipe Meneguzzi. 8127-8128 [doi]
• Playing SNES Games With NeuroEvolution of Augmenting TopologiesSon Pham, Keyi Zhang, Tung Phan, Jasper Ding, Christopher L. Dancy. 8129-8130 [doi]
• Automated Question Answering System for Community-Based QuestionsChanin Pithyaachariyakul, Anagha Kulkarni. 8131-8132 [doi]
• Memory Management With Explicit Time in Resource-Bounded AgentsValentina Pitoni. 8133-8134 [doi]
• Comparing Reward Shaping, Visual Hints, and Curriculum LearningRey Pocius, David Isele, Mark Roberts, David W. Aha. 8135-8136 [doi]
• Adversary Is the Best Teacher: Towards Extremely Compact Neural NetworksAmeya Prabhu, Harish Krishna, Soham Saha. 8137-8138 [doi]
• Influence Maximization for Social Network Based Substance Abuse PreventionAida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker. 8139-8140 [doi]
• Rating Super-Resolution Microscopy Images With Deep LearningLouis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal. 8141-8142 [doi]
• Personalized Human Activity Recognition Using Convolutional Neural NetworksSeyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh. 8143-8144 [doi]
• Lifelong Learning Networks: Beyond Single Agent Lifelong LearningMohammad Rostami, Eric Eaton. 8145-8146 [doi]
• Predicting Depression Severity by Multi-Modal Feature Engineering and FusionAven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang. 8147-8148 [doi]
• Indirect Reciprocity and Costly Assessment in Multiagent SystemsFernando P. Santos, Jorge M. Pacheco, Francisco C. Santos. 8149-8150 [doi]
• Relating Children's Automatically Detected Facial Expressions to Their Behavior in RoboTutorMayank Saxena, Rohith Krishnan Pillai, Jack Mostow. 8151-8152 [doi]
• Solving Generalized Column Subset Selection With Heuristic SearchSwair Shah, Baokun He, Ke Xu, Crystal Maung, Haim Schweitzer. 8153-8154 [doi]
• Towards Better Variational Encoder-Decoders in Seq2Seq TasksXiaoyu Shen, Hui Su. 8155-8156 [doi]
• Efficient Support Vector Machine Training Algorithm on GPUsJiashuai Shi, Zeyi Wen, Bingsheng He, Jian Chen. 8157-8158 [doi]
• Explainable Cross-Domain Recommendations Through Relational LearningSirawit Sopchoke, Ken-ichi Fukui, Masayuki Numao. 8159-8160 [doi]
• Different Cycle, Different Assignment: Diversity in Assignment Problems With Multiple CyclesHelge Spieker, Arnaud Gotlieb, Morten Mossige. 8161-8162 [doi]
• Dialogue Generation With GANHui Su, Xiaoyu Shen, Pengwei Hu, Wenjie Li, Yun Chen. 8163-8164 [doi]
• Label Space Driven Heterogeneous Transfer Learning With Web Induced AlignmentSanatan Sukhija. 8165-8166 [doi]
• Uncovering Scene Context for Predicting Privacy of Online Shared ImagesAshwini Tonge, Cornelia Caragea, Anna Cinzia Squicciarini. 8167-8168 [doi]
• A New Benchmark and Evaluation Schema for Chinese Typo Detection and CorrectionDingmin Wang, Gabriel Pui Cheong Fung, Maxime Debosschere, Shichao Dong, Jia Zhu, Kam-Fai Wong. 8169-8170 [doi]
• Exploring Relevance Judgement Inspired by Quantum Weak MeasurementTianshu Wang, Yuexian Hou, Panpan Wang, Xiaolei Niu. 8171-8172 [doi]
• Deep Embedding for Determining the Number of ClustersYiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin. 8173-8174 [doi]
• Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor GraphYan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng. 8175-8176 [doi]
• Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-SupplementGuowen Yuan, Xiaojun Chen 0006, Chen Wang, Feiping Nie, Liping Jing. 8177-8178 [doi]
• Path-Based Attention Neural Model for Fine-Grained Entity TypingDenghui Zhang, Manling Li, Pengshan Cai, Yantao Jia, Yuanzhuo Wang. 8179-8180 [doi]
• Learning Attention Model From Human for Visuomotor TasksLuxin Zhang, Ruohan Zhang, Zhuode Liu, Mary M. Hayhoe, Dana H. Ballard. 8181-8182 [doi]
• Bayesian Network Structure Learning: The Two-Step Clustering-Based AlgorithmYikun Zhang, Jiming Liu, Yang Liu. 8183-8184 [doi]
• A Semi-Supervised Network Embedding Model for Protein Complexes DetectionWei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen. 8185-8186 [doi]
• Variance Reduced K-Means ClusteringYawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin. 8187-8188 [doi]
• Joint Learning of Evolving Links for Dynamic Network EmbeddingAakas Zhiyuli, Xun Liang, Yanfang Chen, Peng Shu, Xiaoping Zhou. 8189-8190 [doi]
• Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image ClassificationZilong Zhong, Jonathan Li. 8191-8193 [doi]
• Interactive Machine Learning at Scale With CHISSLDustin Arendt, Emily Grace, Svitlana Volkova. 8194-8195 [doi]
• Lookine: Let the Blind Hear a SmileYaohua Bu, Jia Jia, Yuhan Tang, Xuan Zang, Tianyu Gao. 8196-8197 [doi]
• Water Advisor - A Data-Driven, Multi-Modal, Contextual Assistant to Help With Water Usage DecisionsJason B. Ellis, Biplav Srivastava, Rachel K. E. Bellamy, Andy Aaron. 8198-8199 [doi]
• A Unified Implicit Dialog Framework for Conversational CommerceSong Feng, R. Chulaka Gunasekara, Sunil Shashidhara, Kshitij P. Fadnis, Lazaros C. Polymenakos. 8200-8201 [doi]
• Vertical Domain Text Classification: Towards Understanding IT Tickets Using Deep Neural NetworksJianglei Han, Mohammad Akbari. 8202-8203 [doi]
• Constructing Domain-Specific Search Engines With No ProgrammingMayank Kejriwal, Pedro Szekely. 8204-8205 [doi]
• A Cognitive Assistant for Visualizing and Analyzing ExoplanetsJeffrey O. Kephart, Victor C. Dibia, Jason B. Ellis, Biplav Srivastava, Kartik Talamadupula, Mishal Dholakia. 8206-8207 [doi]
• Perception-Action-Learning System for Mobile Social-Service Robots Using Deep LearningBeom-Jin Lee, Jinyoung Choi, Chung-yeon Lee, Kyung-Wha Park, SungJun Choi, Cheolho Han, Dong-Sig Han, Christina Baek, Patrick Mokodir Emaase, Byoung-Tak Zhang. 8208-8209 [doi]
• Agent Assist: Automating Enterprise IT Support Help DesksSenthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta 0002, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan. 8210-8211 [doi]
• Dataset Evolver: An Interactive Feature Engineering NotebookFatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak S. Turaga. 8212-8213 [doi]
• PegasusN: A Scalable and Versatile Graph Mining SystemHa-Myung Park, Chiwan Park, U. Kang. 8214-8215 [doi]
• BaitBuster: A Clickbait Identification FrameworkMd Main Uddin Rony, Naeemul Hassan, Mohammad Yousuf. 8216-8217 [doi]
• Democratization of Deep Learning Using DARVIZAnush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani, Akshay Sethi, Rahul Aralikatte, Neelamadhav Gantayat. 8218-8219 [doi]
• Learning an Image-based Obstacle Detector With Automatic Acquisition of Training DataStefano Toniolo, Jérôme Guzzi, Luca Maria Gambardella, Alessandro Giusti. 8220-8221 [doi]
• MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective IntelligenceLianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu. 8222-8223 [doi]