Abstract is missing.
- SnapNETS: Automatic Segmentation of Network Sequences with Node LabelsSorour E. Amiri, Liangzhe Chen, B. Aditya Prakash. 3-9 [doi]
- Taming the Matthew Effect in Online Markets with Social InfluenceFranco Berbeglia, Pascal Van Hentenryck. 10-16 [doi]
- A Leukocyte Detection Technique in Blood Smear Images Using Plant Growth Simulation AlgorithmDeblina Bhattacharjee, Anand Paul. 17-23 [doi]
- Partitioned Sampling of Public Opinions Based on Their Social DynamicsWeiran Huang, Liang Li, Wei Chen. 24-30 [doi]
- Novel Geometric Approach for Global Alignment of PPI NetworksYangwei Liu, Hu Ding, Danyang Chen, Jinhui Xu 0001. 31-37 [doi]
- Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning ApproachYihui Ma, Jia Jia, Suping Zhou, Jingtian Fu, Yejun Liu, Zijian Tong. 38-44 [doi]
- Profit-Driven Team Grouping in Social NetworksShaoJie Tang. 45-51 [doi]
- Gated Neural Networks for Option Pricing: Rationality by DesignYongxin Yang, Yu Zheng, Timothy M. Hospedales. 52-58 [doi]
- Local Discriminant Hyperalignment for Multi-Subject fMRI Data AlignmentMuhammad Yousefnezhad, Daoqiang Zhang. 59-65 [doi]
- Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR ImagesLequan Yu, Xin Yang, Hao Chen 0011, Jing Qin, Pheng-Ann Heng. 66-72 [doi]
- StructInf: Mining Structural Influence from Social StreamsJing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun. 73-80 [doi]
- Transitive Hashing Network for Heterogeneous Multimedia RetrievalZhangjie Cao, Mingsheng Long, Jianmin Wang 0001, Qiang Yang 0001. 81-87 [doi]
- Marrying Uncertainty and Time in Knowledge GraphsMelisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt. 88-94 [doi]
- TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile LearningAleksandr Farseev, Tat-Seng Chua. 95-101 [doi]
- POI2Vec: Geographical Latent Representation for Predicting Future VisitorsShanshan Feng, Gao Cong, Bo An, Yeow Meng Chee. 102-108 [doi]
- A Dependency-Based Neural Reordering Model for Statistical Machine TranslationChristian Hadiwinoto, Hwee Tou Ng. 109-115 [doi]
- Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node ContentsDongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang. 116-124 [doi]
- Random-Radius Ball Method for Estimating Closeness CentralityWataru Inariba, Takuya Akiba, Yuichi Yoshida. 125-131 [doi]
- Read the Silence: Well-Timed Recommendation via Admixture Marked Point ProcessesHideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda. 132-139 [doi]
- Treatment Effect Estimation with Data-Driven Variable DecompositionKun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang 0001. 140-146 [doi]
- A Declarative Approach to Data-Driven Fact CheckingJulien Leblay. 147-153 [doi]
- Semantic Proximity Search on Heterogeneous Graph by Proximity EmbeddingZemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying. 154-160 [doi]
- Multi-Task Deep Learning for User Intention Understanding in Speech Interaction SystemsYishuang Ning, Jia Jia, Zhiyong Wu, Runnan Li, Yongsheng An, Yanfeng Wang, Helen M. Meng. 161-167 [doi]
- Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network ArchitectureKyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, Yoshihiro Matsuo. 168-174 [doi]
- Radon - Rapid Discovery of Topological RelationsMohamed Ahmed Sherif, Kevin Dreßler, Panayiotis Smeros, Axel-Cyrille Ngonga Ngomo. 175-181 [doi]
- Web-Based Semantic Fragment Discovery for On-Line Lingual-Visual SimilarityXiaoshuai Sun, Jiewei Cao, Chao Li, Lei Zhu, Heng Tao Shen. 182-188 [doi]
- Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective RecommendationZhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon. 189-195 [doi]
- Phrase-Based Presentation Slides Generation for Academic PapersSida Wang, Xiaojun Wan, Shikang Du. 196-202 [doi]
- Community Preserving Network EmbeddingXiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu 0001, Shiqiang Yang. 203-209 [doi]
- CLARE: A Joint Approach to Label Classification and Tag RecommendationYilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li. 210-216 [doi]
- Multiple Source Detection without Knowing the Underlying Propagation ModelZheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye. 217-223 [doi]
- Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural NetworkJufeng Yang, Ming Sun, Xiaoxiao Sun. 224-230 [doi]
- Visual Sentiment Analysis by Attending on Local Image RegionsQuanzeng You, Hailin Jin, Jiebo Luo. 231-237 [doi]
- Correlated Cascades: Compete or CooperateAli Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha. 238-244 [doi]
- Finding Critical Users for Social Network Engagement: The Collapsed k-Core ProblemFan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin. 245-251 [doi]
- Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed AdvertisingJia Zhang, Zheng Wang, Qian Li, Jialin Zhang, Yanyan Lan, Qiang Li, Xiaoming Sun. 252-258 [doi]
- Expectile Matrix Factorization for Skewed Data AnalysisRui Zhu, Di Niu, Linglong Kong, Zongpeng Li. 259-266 [doi]
- Associative Memory Using Dictionary Learning and Expander DecodingArya Mazumdar, Ankit Singh Rawat. 267-273 [doi]
- An Integrated Model for Effective Saliency PredictionXiaoshuai Sun, Zi Huang, Hongzhi Yin, Heng Tao Shen. 274-281 [doi]
- The Efficiency of the HyperPlay Technique Over Random SamplingMichael John Schofield, Michael Thielscher. 282-290 [doi]
- Market Pricing for Data StreamsMelika Abolhassani, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier, Hadi Yami. 291-297 [doi]
- Automated Design of Robust MechanismsMichael Albert, Vincent Conitzer, Peter Stone. 298-304 [doi]
- Incentivising Monitoring in Open Normative SystemsNatasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan. 305-311 [doi]
- Envy-Free Mechanisms with Minimum Number of CutsReza Alijani, Majid Farhadi, Mohammad Ghodsi, Masoud Seddighin, Ahmad S. Tajik. 312-318 [doi]
- Strategic Signaling and Free Information Disclosure in AuctionsShani Alkoby, David Sarne, Igal Milchtaich. 319-327 [doi]
- Complexity of Manipulating Sequential AllocationHaris Aziz, Sylvain Bouveret, Jérôme Lang, Simon Mackenzie. 328-334 [doi]
- Algorithms for Max-Min Share Fair Allocation of Indivisible ChoresHaris Aziz, Gerhard Rauchecker, Guido Schryen, Toby Walsh. 335-341 [doi]
- Nash Stability in Social Distance GamesAlkida Balliu, Michele Flammini, Giovanna Melideo, Dennis Olivetti. 342-348 [doi]
- On Pareto Optimality in Social Distance GamesAlkida Balliu, Michele Flammini, Dennis Olivetti. 349-355 [doi]
- Team-Maxmin Equilibrium: Efficiency Bounds and AlgorithmsNicola Basilico, Andrea Celli, Giuseppe De Nittis, Nicola Gatti 0001. 356-362 [doi]
- A Study of Compact Reserve Pricing LanguagesMohammadHossein Bateni, Hossein Esfandiari, Vahab S. Mirrokni, Saeed Seddighin. 363-368 [doi]
- Faster and Simpler Algorithm for Optimal Strategies of Blotto GameSoheil Behnezhad, Sina Dehghani, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Saeed Seddighin. 369-375 [doi]
- Preference Elicitation For Participatory BudgetingGerdus Benade, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah 0001. 376-382 [doi]
- Exclusion Method for Finding Nash Equilibrium in Multiplayer GamesKimmo Berg, Tuomas Sandholm. 383-389 [doi]
- Teams in Online Scheduling Polls: Game-Theoretic AspectsRobert Bredereck, Jiehua Chen, Rolf Niedermeier, Svetlana Obraztsova, Nimrod Talmon. 390-396 [doi]
- Probably Approximately Efficient Combinatorial Auctions via Machine LearningGianluca Brero, Benjamin Lubin, Sven Seuken. 397-405 [doi]
- Phragmén's Voting Methods and Justified RepresentationMarkus Brill, Rupert Freeman, Svante Janson, Martin Lackner. 406-413 [doi]
- Multiwinner Approval Rules as Apportionment MethodsMarkus Brill, Jean-François Laslier, Piotr Skowron. 414-420 [doi]
- Dynamic Thresholding and Pruning for Regret MinimizationNoam Brown, Christian Kroer, Tuomas Sandholm. 421-429 [doi]
- Optimizing Positional Scoring Rules for Rank AggregationIoannis Caragiannis, Xenophon Chatzigeorgiou, George A. Krimpas, Alexandros A. Voudouris. 430-436 [doi]
- On Markov Games Played by Bayesian and Boundedly-Rational PlayersMuthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi. 437-4443 [doi]
- Bounded Rationality of Restricted Turing MachinesLijie Chen, Pingzhong Tang, Ruosong Wang. 444-450 [doi]
- Winner Determination in Huge Elections with MapReduceTheresa Csar, Martin Lackner, Reinhard Pichler, Emanuel Sallinger. 451-458 [doi]
- Approximation and Parameterized Complexity of Minimax Approval VotingMarek Cygan, Lukasz Kowalik, Arkadiusz Socala, Krzysztof Sornat. 459-465 [doi]
- The Computational Complexity of Weighted Greedy MatchingArgyrios Deligkas, George B. Mertzios, Paul G. Spirakis. 466-474 [doi]
- Disarmament GamesYuan Deng, Vincent Conitzer. 473-479 [doi]
- The Complexity of Stable Matchings under Substitutable PreferencesYuan Deng, Debmalya Panigrahi, Bo Waggoner. 480-486 [doi]
- Small Representations of Big Kidney Exchange GraphsJohn P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm. 487-493 [doi]
- What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean DomainEdith Elkind, Piotr Faliszewski, Jean-François Laslier, Piotr Skowron, Arkadii Slinko, Nimrod Talmon. 494-501 [doi]
- Extensive-Form Perfect Equilibrium Computation in Two-Player GamesGabriele Farina, Nicola Gatti 0001. 502-508 [doi]
- Selfish KnapsackItai Feigenbaum, Matthew P. Johnson. 509-515 [doi]
- Obvious Strategyproofness Needs Monitoring for Good ApproximationsDiodato Ferraioli, Carmine Ventre. 516-522 [doi]
- Crowdsourced Outcome Determination in Prediction MarketsRupert Freeman, Sébastien Lahaie, David M. Pennock. 523-529 [doi]
- Security Games on a PlaneJiarui Gan, Bo An, Yevgeniy Vorobeychik, Brian Gauch. 530-536 [doi]
- Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous AgentsJie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu. 537-543 [doi]
- Vote Until Two of You Agree: Mechanisms with Small Distortion and Sample ComplexityStephen Gross, Elliot Anshelevich, Lirong Xia. 544-550 [doi]
- Computing Least Cores of Supermodular Cooperative GamesDaisuke Hatano, Yuichi Yoshida. 551-557 [doi]
- Heuristic Search Value Iteration for One-Sided Partially Observable Stochastic GamesKarel Horák, Branislav Bosanský, Michal Pechoucek. 558-564 [doi]
- Group Activity Selection on Social NetworksAyumi Igarashi, Dominik Peters, Edith Elkind. 565-571 [doi]
- Resource Graph Games: A Compact Representation for Games with Structured Strategy SpacesAlbert Xin Jiang, Hau Chan, Kevin Leyton-Brown. 572-578 [doi]
- Complexity of the Stable Invitations ProblemHooyeon Lee, Vassilevska Williams. 579-585 [doi]
- Mechanism Design in Social NetworksBin Li, Dong Hao, Dengji Zhao, Tao Zhou. 586-592 [doi]
- Optimal Personalized Defense Strategy Against Man-In-The-Middle AttackXiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An. 593-599 [doi]
- Network, Popularity and Social Cohesion: A Game-Theoretic ApproachJiamou Liu, Ziheng Wei. 600-606 [doi]
- Sequential Peer Prediction: Learning to Elicit Effort using Posted PricesYang Liu, Yiling Chen. 607-613 [doi]
- An Ambiguity Aversion Model for Decision Making under AmbiguityWenjun Ma, Xudong Luo, Yuncheng Jiang. 614-621 [doi]
- Optimal Pricing for Submodular Valuations with Bounded CurvatureTakanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi. 622-628 [doi]
- On Covering Codes and Upper Bounds for the Dimension of Simple GamesMartin Olsen. 629-634 [doi]
- Tractable Algorithms for Approximate Nash Equilibria in Generalized Graphical Games with Tree StructureLuis E. Ortiz, Mohammad Tanvir Irfan. 635-641 [doi]
- Recognising Multidimensional Euclidean PreferencesDominik Peters. 642-648 [doi]
- Preferences Single-Peaked on a CircleDominik Peters, Martin Lackner. 649-655 [doi]
- Psychological Forest: Predicting Human BehaviorOri Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz. 656-662 [doi]
- Revenue Maximization for Finitely Repeated Ad AuctionsJiang Rong, Tao Qin, Bo An, Tie-Yan Liu. 663-669 [doi]
- Proportional Justified RepresentationLuis Sánchez Fernández, Edith Elkind, Martin Lackner, Norberto Fernández García, Jesús Arias-Fisteus, Pablo Basanta-Val, Piotr Skowron. 670-676 [doi]
- Achieving Sustainable Cooperation in Generalized Prisoner's Dilemma with Observation ErrorsFuuki Shigenaka, Tadashi Sekiguchi, Atsushi Iwasaki, Makoto Yokoo. 677-683 [doi]
- Mechanism Design for Multi-Type Housing MarketsSujoy Sikdar, Sibel Adali, Lirong Xia. 684-690 [doi]
- Constrained Pure Nash Equilibria in Polymatrix GamesSunil Simon, Dominik Wojtczak. 691-697 [doi]
- Axiomatic Characterization of Game-Theoretic Network CentralitiesOskar Skibski, Tomasz P. Michalak, Talal Rahwan. 698-705 [doi]
- Social Choice Under Metric Preferences: Scoring Rules and STVPiotr Krzysztof Skowron, Edith Elkind. 706-712 [doi]
- Fans Economy and All-Pay Auctions with Proportional AllocationsPingzhong Tang, Yulong Zeng, Song Zuo. 713-719 [doi]
- The Positronic Economist: A Computational System for Analyzing Economic MechanismsDavid R. M. Thompson, Neil Newman, Kevin Leyton-Brown. 720-727 [doi]
- Non-Additive Security GamesSinong Wang, Fang Liu, Ness B. Shroff. 728-735 [doi]
- The Dollar Auction with Spiteful PlayersMarcin Waniek, Long Tran-Thanh, Tomasz P. Michalak, Nicholas R. Jennings. 736-742 [doi]
- Proper Proxy Scoring RulesJens Witkowski, Pavel Atanasov, Lyle H. Ungar, Andreas Krause. 743-749 [doi]
- Randomized Mechanisms for Selling Reserved Instances in Cloud ComputingJia Zhang, Weidong Ma, Tao Qin, Xiaoming Sun, Tie-Yan Liu. 750-757 [doi]
- Embedded Bandits for Large-Scale Black-Box OptimizationAbdullah Al-Dujaili, Sundaram Suresh. 758-764 [doi]
- Reactive Dialectic Search Portfolios for MaxSATCarlos Ansótegui, Josep Pon, Meinolf Sellmann, Kevin Tierney. 765-772 [doi]
- Efficient Parameter Importance Analysis via Ablation with SurrogatesAndre Biedenkapp, Marius Thomas Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger H. Hoos. 773-779 [doi]
- Problem Difficulty and the Phase Transition in Heuristic SearchEldan Cohen, J. Christopher Beck. 780-786 [doi]
- Automatic Logic-Based Benders Decomposition with MiniZincToby O. Davies, Graeme Gange, Peter J. Stuckey. 787-793 [doi]
- Parallel Asynchronous Stochastic Variance Reduction for Nonconvex OptimizationCong Fang, Zhouchen Lin. 794-800 [doi]
- A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local SearchTobias Friedrich 0001, Timo Kötzing, Markus Wagner 0007. 801-807 [doi]
- The Simultaneous Maze Solving ProblemStefan Funke, André Nusser, Sabine Storandt. 808-814 [doi]
- Going Beyond Primal Treewidth for (M)ILPRobert Ganian, Sebastian Ordyniak, M. S. Ramanujan. 815-821 [doi]
- Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF SurrogatesIlija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine Annette Shoemaker. 822-829 [doi]
- An Exact Algorithm for the Maximum Weight Clique Problem in Large GraphsHua Jiang, Chu Min Li, Felip Manyà. 830-838 [doi]
- Learning to Prune Dominated Action Sequences in Online Black-Box PlanningYuu Jinnai, Alex S. Fukunaga. 839-845 [doi]
- Systematic Exploration of Larger Local Search Neighborhoods for the Minimum Vertex Cover ProblemMaximilian Katzmann, Christian Komusiewicz. 846-852 [doi]
- New Lower Bound for the Minimum Sum Coloring ProblemClément Lecat, Corinne Lucet, Chu Min Li. 853-859 [doi]
- Anytime Anyspace AND/OR Search for Bounding the Partition FunctionQi Lou, Rina Dechter, Alexander T. Ihler. 860-867 [doi]
- Dancing with Decision Diagrams: A Combined Approach to Exact CoverMasaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata. 868-874 [doi]
- Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective DimensionsHong Qian, Yang Yu. 875-881 [doi]
- Automated Data Extraction Using Predictive Program SynthesisMohammad Raza, Sumit Gulwani. 882-890 [doi]
- k NeighborhoodsNicolas Rivera, Carlos Hernández, Jorge A. Baier. 891-897 [doi]
- Non-Monotone DR-Submodular Function MaximizationTasuku Soma, Yuichi Yoshida. 898-904 [doi]
- Regret Ratio Minimization in Multi-Objective Submodular Function MaximizationTasuku Soma, Yuichi Yoshida. 905-911 [doi]
- Value Compression of Pattern DatabasesNathan R. Sturtevant, Ariel Felner, Malte Helmert. 912-918 [doi]
- k-Plexes in Social Network AnalysisMingyu Xiao, Weibo Lin, Yuanshun Dai, Yifeng Zeng. 919-925 [doi]
- p NormChen Xu, Zhouchen Lin, Hongbin Zha. 926-932 [doi]
- Efficient Stochastic Optimization for Low-Rank Distance Metric LearningJie Zhang, Lijun Zhang. 933-940 [doi]
- Examples-Rules Guided Deep Neural Network for Makeup RecommendationTaleb Alashkar, Songyao Jiang, Shuyang Wang, Yun Fu. 941-947 [doi]
- Predicting Latent Narrative Mood Using Audio and Physiologic DataTuka Waddah AlHanai, Mohammad Mahdi Ghassemi. 948-954 [doi]
- Collaborative Planning with Encoding of Users' High-Level StrategiesJoseph Kim, Christopher J. Banks, Julie A. Shah. 955-962 [doi]
- Long-Term Trends in the Public Perception of Artificial IntelligenceEthan Fast, Eric Horvitz. 963-969 [doi]
- A Theoretical Analysis of First Heuristics of Crowdsourced Entity ResolutionArya Mazumdar, Barna Saha. 970-976 [doi]
- Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing ProcessTakeru Sunahase, Yukino Baba, Hisashi Kashima. 977-984 [doi]
- The Benefit in Free Information Disclosure When Selling Information to PeopleShani Alkoby, David Sarne. 985-992 [doi]
- Psychologically Based Virtual-Suspect for Interrogative Interview TrainingMoshe Bitan, Galit Nahari, Zvi Nisin, Ariel Roth, Sarit Kraus. 993-1000 [doi]
- PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and ClusteringHannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park. 1001-1009 [doi]
- JAG: A Crowdsourcing Framework for Joint Assessment and Peer GradingIgor Labutov, Christoph Studer. 1010-1016 [doi]
- On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning SystemsBesmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann. 1017-1025 [doi]
- Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia DataShan Wu, Shangfei Wang, Qiang Ji. 1026-1033 [doi]
- On the Computation of Paracoherent Answer SetsGiovanni Amendola, Carmine Dodaro, Wolfgang Faber, Nicola Leone, Francesco Ricca. 1034-1040 [doi]
- Polynomially Bounded Logic Programs with Function Symbols: A New DecidableVernon Asuncion, Yan Zhang, Heng Zhang. 1041-1047 [doi]
- Abstraction in Situation Calculus Action TheoriesBita Banihashemi, Giuseppe De Giacomo, Yves Lespérance. 1048-1055 [doi]
- Source Information Disclosure in Ontology-Based Data IntegrationMichael Benedikt, Bernardo Cuenca Grau, Egor V. Kostylev. 1056-1062 [doi]
- Ontology-Mediated Queries for Probabilistic DatabasesStefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz. 1063-1069 [doi]
- Ontology-Based Data Access with a Horn Fragment of Metric Temporal LogicSebastian Brandt, Elem Güzel Kalayci, Roman Kontchakov, Vladislav Ryzhikov, Guohui Xiao, Michael Zakharyaschev. 1070-1076 [doi]
- Solving Advanced Argumentation Problems with Answer-Set ProgrammingGerhard Brewka, Martin Diller, Georg Heissenberger, Thomas Linsbichler, Stefan Woltran. 1077-1083 [doi]
- Checking the Consistency of Combined Qualitative Constraint NetworksQuentin Cohen-Solal, Maroua Bouzid, Alexandre Niveau. 1084-1090 [doi]
- Add Data into Business Process Verification: Bridging the Gap between Theory and PracticeRiccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali, Sergio Tessaris. 1091-1099 [doi]
- Practical TBox Abduction Based on Justification PatternsJianfeng Du, Hai Wan, Huaguan Ma. 1100-1106 [doi]
- The Unusual Suspects: Deep Learning Based Mining of Interesting Entity Trivia from Knowledge GraphsNausheen Fatma, Manoj Kumar Chinnakotla, Manish Shrivastava. 1107-1113 [doi]
- Ontology Materialization by Abstraction Refinement in Horn SHOIFBirte Glimm, Yevgeny Kazakov, Trung-Kien Tran. 1114-1120 [doi]
- Number Restrictions on Transitive Roles in Description Logics with NominalsVíctor Gutiérrez-Basulto, Yazmin Angélica Ibáñez-García, Jean Christoph Jung. 1121-1127 [doi]
- Strategic Sequences of Arguments for Persuasion Using Decision TreesEmmanuel Hadoux, Anthony Hunter. 1128-1134 [doi]
- Preferential Structures for Comparative Probabilistic ReasoningMatthew Harrison-Trainor, Wesley H. Holliday, Thomas F. Icard III. 1135-1141 [doi]
- Query Answering in DL-Lite with Datatypes: A Non-Uniform ApproachAndré Hernich, Julio Lemos, Frank Wolter. 1142-1148 [doi]
- Diagnosability Planning for Controllable Discrete Event SystemsHassan Ibrahim, Philippe Dague, Alban Grastien, Lina Ye, Laurent Simon. 1149-1155 [doi]
- Entropic Causal InferenceMurat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi. 1156-1162 [doi]
- SAT Encodings for Distance-Based Belief Merging OperatorsSébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis. 1163-1169 [doi]
- LPMLN, Weak Constraints, and P-logJoohyung Lee, Zhun Yang. 1170-1177 [doi]
- Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical TaxonomyJiaqing Liang, Yanghua Xiao, Yi Zhang, Seung-won Hwang, Haixun Wang. 1178-1184 [doi]
- On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical TaxonomiesJiaqing Liang, Yi Zhang, Yanghua Xiao, Haixun Wang, Wei Wang 0009, Pinpin Zhu. 1185-1191 [doi]
- Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic DiscoveryHengyang Lu, Lu-Yao Xie, Ning Kang, Chong-Jun Wang, Jun-Yuan Xie. 1192-1198 [doi]
- The Symbolic Interior Point MethodMartin Mladenov, Vaishak Belle, Kristian Kersting. 1199-1205 [doi]
- Small Is Beautiful: Computing Minimal Equivalent EL ConceptsNadeschda Nikitina, Patrick Koopmann. 1206-1212 [doi]
- Compiling Graph Substructures into Sentential Decision DiagramsMasaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata. 1213-1221 [doi]
- Efficient Evaluation of Answer Set Programs with External Sources Based on External Source InliningChristoph Redl. 1222-1228 [doi]
- On Equivalence and Inconsistency of Answer Set Programs with External SourcesChristoph Redl. 1229-1235 [doi]
- ProjE: Embedding Projection for Knowledge Graph CompletionBaoxu Shi, Tim Weninger. 1236-1242 [doi]
- Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge GraphsYi Tay, Anh Tuan Luu, Siu Cheung Hui. 1243-1249 [doi]
- Causal Discovery Using Regression-Based Conditional Independence TestsHao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan. 1250-1256 [doi]
- An Improved Algorithm for Learning to Perform Exception-Tolerant AbductionMengxue Zhang, Tushar Mathew, Brendan A. Juba. 1257-1265 [doi]
- Trust-Sensitive Evolution of DL-Lite Knowledge BasesDmitriy Zheleznyakov, Evgeny Kharlamov, Ian Horrocks. 1266-1273 [doi]
- Explicit Defense Actions Against Test-Set AttacksScott Alfeld, Xiaojin Zhu 0001, Paul Barford. 1274-1280 [doi]
- Multidimensional Scaling on Multiple Input Distance MatricesSong Bai, Xiang Bai, Longin Jan Latecki, Qi Tian. 1281-1287 [doi]
- ICU Mortality Prediction: A Classification Algorithm for Imbalanced DatasetsSakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava. 1288-1294 [doi]
- GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative FilteringChao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu. 1295-1301 [doi]
- Predicting Soccer Highlights from Spatio-Temporal Match Event StreamsTom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis. 1302-1308 [doi]
- A Hybrid Collaborative Filtering Model with Deep Structure for Recommender SystemsXin Dong, Lei Yu, Zhonghuo Wu, Yuxia Sun, Lingfeng Yuan, Fangxi Zhang. 1309-1315 [doi]
- Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item RecommendationLi Gao, Jia Wu, Chuan Zhou, Yue Hu. 1316-1322 [doi]
- Event Video Mashup: From Hundreds of Videos to Minutes of SkeletonLianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, Heng Tao Shen. 1323-1330 [doi]
- Soft Video Parsing by Label Distribution LearningXin Geng, Miaogen Ling. 1331-1337 [doi]
- Active Learning with Cross-Class Similarity TransferYuchen Guo, Guiguang Ding, Yue Gao, Jungong Han. 1338-1344 [doi]
- DeepFix: Fixing Common C Language Errors by Deep LearningRahul Gupta, Soham Pal, Aditya Kanade, Shirish Shevade. 1345-1351 [doi]
- Question Difficulty Prediction for READING Problems in Standard TestsZhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu. 1352-1359 [doi]
- Additional Multi-Touch Attribution for Online AdvertisingWendi Ji, Xiaoling Wang. 1360-1366 [doi]
- Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug InteractionBo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang. 1367-1373 [doi]
- Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage ClassificationXiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen. 1374-1381 [doi]
- Contextual RNN-GANs for Abstract Reasoning Diagram GenerationViveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay P. Namboodiri, Mohit Bansal. 1382-1388 [doi]
- A Framework for Minimal Clustering Modification via Constraint ProgrammingChia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson. 1389-1395 [doi]
- Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying ProblemYoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein. 1396-1402 [doi]
- ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender SystemsDongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha. 1403-1409 [doi]
- Learning with Feature Network and Label Network SimultaneouslyYingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang. 1410-1416 [doi]
- Collaborative Company Profiling: Insights from an Employee's PerspectiveHao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong. 1417-1423 [doi]
- ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel RedundancyShaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang. 1424-1430 [doi]
- A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain MappingFeng Liu, Shouyi Wang, Jay Rosenberger, Jianzhong Su, Hanli Liu. 1431-1437 [doi]
- On Predictive Patent Valuation: Forecasting Patent Citations and Their TypesXin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu. 1438-1444 [doi]
- Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural NetworksYu Liu, Jianlong Fu, Tao Mei, Chang Wen Chen. 1445-1452 [doi]
- Data-Driven Approximations to NP-Hard ProblemsAnton Milan, Seyed Hamid Rezatofighi, Ravi Garg, Anthony R. Dick, Ian D. Reid 0001. 1453-1459 [doi]
- Predicting Demographics of High-Resolution Geographies with Geotagged TweetsOmar Montasser, Daniel Kifer. 1460-1466 [doi]
- Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix FactorizationArun Reddy Nelakurthi, Jingrui He. 1467-1473 [doi]
- FeaBoost: Joint Feature and Label Refinement for Semantic SegmentationYulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen. 1474-1480 [doi]
- Learning Implicit Tasks for Patient-Specific Risk Modeling in ICUNozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka. 1481-1487 [doi]
- Enabling Dark Energy Science with Deep Generative Models of Galaxy ImagesSiamak Ravanbakhsh, Francois Lanusse, Rachel Mandelbaum, Jeff G. Schneider, Barnabás Póczos. 1488-1494 [doi]
- Unsupervised Deep Learning for Optical Flow EstimationZhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha. 1495-1501 [doi]
- Low-Rank Linear Cold-Start Recommendation from Social DataSuvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie, Darius Braziunas. 1502-1508 [doi]
- Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear UnitsWenling Shang, Justin Chiu, Kihyuk Sohn. 1509-1516 [doi]
- Portfolio Selection via Subset ResamplingWeiwei Shen, Jun Wang. 1517-1523 [doi]
- Beyond IID: Learning to Combine Non-IID Metrics for Vision TasksYinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen. 1524-1531 [doi]
- Fast Inverse Reinforcement Learning with Interval Consistent Graph for Driving Behavior PredictionMasamichi Shimosaka, Junichi Sato, Kazuhito Takenaka, Kentarou Hitomi. 1532-1538 [doi]
- Neural Programming by ExampleChengxun Shu, Hongyu Zhang. 1539-1545 [doi]
- Simultaneous Clustering and EnsembleZhiqiang Tao, Hongfu Liu, Yun Fu. 1546-1552 [doi]
- A Deep Hierarchical Approach to Lifelong Learning in MinecraftChen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor. 1553-1561 [doi]
- Learning Attributes from the Crowdsourced Relative LabelsTian Tian 0001, Ning Chen, Jun Zhu. 1562-1568 [doi]
- Coupling Implicit and Explicit Knowledge for Customer Volume PredictionJingyuan Wang, Yating Lin, Junjie Wu, Zhong Wang, Zhang Xiong. 1569-1575 [doi]
- Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term EvaluationJinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao 0001. 1576-1582 [doi]
- Multiset Feature Learning for Highly Imbalanced Data ClassificationFei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo, Jing-yu Yang. 1583-1589 [doi]
- Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet AllocationCao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang. 1590-1596 [doi]
- Modeling the Intensity Function of Point Process Via Recurrent Neural NetworksShuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu. 1597-1603 [doi]
- Progressive Prediction of Student Performance in College ProgramsJie Xu 0001, Yuli Han, Daniel Marcu, Mihaela van der Schaar. 1604-1610 [doi]
- Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync CommentsLinli Xu, Chao Zhang. 1611-1617 [doi]
- Pairwise Relationship Guided Deep Hashing for Cross-Modal RetrievalErkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao. 1618-1625 [doi]
- Discriminative Semi-Supervised Dictionary Learning with Entropy Regularization for Pattern ClassificationMeng Yang, Lin Chen. 1626-1632 [doi]
- Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound ImagesXin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng. 1633-1639 [doi]
- Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience ReplayHaiyan Yin, Sinno Jialin Pan. 1640-1646 [doi]
- Personalized Donor-Recipient Matching for Organ TransplantationJinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar. 1647-1654 [doi]
- Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows PredictionJunbo Zhang, Yu Zheng, Dekang Qi. 1655-1661 [doi]
- Robust Manifold Matrix Factorization for Joint Clustering and Feature ExtractionLefei Zhang, Qian Zhang, Bo Du, Dacheng Tao, Jane You. 1662-1668 [doi]
- Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit FeedbackYan Zhang, Defu Lian, Guowu Yang. 1669-1675 [doi]
- Catch'Em All: Locating Multiple Diffusion Sources in Networks with Partial ObservationsKai Zhu, Zhen Chen, Lei Ying. 1676-1683 [doi]
- Learning Bayesian Networks with Incomplete Data by AugmentationTameem Adel, Cassio Polpo de Campos. 1684-1690 [doi]
- Unsupervised Domain Adaptation with a Relaxed Covariate Shift AssumptionTameem Adel, Han Zhao, Alexander Wong. 1691-1697 [doi]
- Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label LearningApoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain 0002. 1698-1704 [doi]
- The Bernstein Mechanism: Function Release under Differential PrivacyFrancesco Aldà, Benjamin I. P. Rubinstein. 1705-1711 [doi]
- Heavy-Tailed Analogues of the Covariance Matrix for ICAJoseph Anderson, Navin Goyal, Anupama Nandi, Luis Rademacher. 1712-1718 [doi]
- Fast Generalized Distillation for Semi-Supervised Domain AdaptationShuang Ao, Xiang Li, Charles X. Ling. 1719-1725 [doi]
- The Option-Critic ArchitecturePierre-Luc Bacon, Jean Harb, Doina Precup. 1726-1734 [doi]
- Label Efficient Learning by Exploiting Multi-Class Output CodesMaria-Florina Balcan, Travis Dick, Yishay Mansour. 1735-1741 [doi]
- Robust Partially-Compressed Least-SquaresStephen Becker, Ban Kawas, Marek Petrik. 1742-1748 [doi]
- Learning Residual Alternating AutomataSebastian Berndt, Maciej Liskiewicz, Matthias Lutter, Rüdiger Reischuk. 1749-1755 [doi]
- Resource Constrained Structured PredictionTolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama. 1756-1762 [doi]
- Cross-Domain Kernel Induction for Transfer LearningWei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang. 1763-1769 [doi]
- Informative Subspace Learning for Counterfactual InferenceYale Chang, Jennifer G. Dy. 1770-1776 [doi]
- PAC Identification of a Bandit Arm Relative to a Reward QuantileArghya Roy Chaudhuri, Shivaram Kalyanakrishnan. 1777-1783 [doi]
- Classification with Minimax Distance MeasuresMorteza Haghir Chehreghani. 1784-1790 [doi]
- Latent Discriminant Analysis with Representative Feature DiscoveryGang Chen. 1791-1797 [doi]
- Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy SettingLin Chen 0003, Seyed Hamed Hassani, Amin Karbasi. 1798-1804 [doi]
- Sparse Boltzmann Machines with Structure Learning as Applied to Text AnalysisZhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen. 1805-1811 [doi]
- Communication Lower Bounds for Distributed Convex Optimization: Partition Data on FeaturesZihao Chen, Luo Luo, Zhihua Zhang. 1812-1818 [doi]
- OFFER: Off-Environment Reinforcement LearningKamil Andrzej Ciosek, Shimon Whiteson. 1819-1825 [doi]
- Addressing Imbalance in Multi-Label Classification Using Structured Hellinger ForestsZachary Alan Daniels, Dimitris N. Metaxas. 1826-1832 [doi]
- Nonlinear Dynamic Boltzmann Machines for Time-Series PredictionSakyasingha Dasgupta, Takayuki Osogami. 1833-1839 [doi]
- Estimating the Maximum Expected Value in Continuous Reinforcement Learning ProblemsCarlo D'Eramo, Alessandro Nuara, Matteo Pirotta, Marcello Restelli. 1840-1846 [doi]
- Scalable Multitask Policy Gradient Reinforcement LearningSalam El Bsat, Haitham Bou-Ammar, Matthew E. Taylor. 1847-1853 [doi]
- From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification ApproachSarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao. 1854-1860 [doi]
- A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal ModelsYusuf Bugra Erol, Yi Wu, Lei Li, Stuart J. Russell. 1861-1869 [doi]
- Structure Regularized Unsupervised Discriminant Feature AnalysisMingyu Fan, Xiaojun Chang, Dacheng Tao. 1870-1876 [doi]
- Self-Paced Learning: An Implicit Regularization PerspectiveYanbo Fan, Ran He, Jian Liang, Bao-Gang Hu. 1877-1883 [doi]
- Deep MIML NetworkJi Feng, Zhi-Hua Zhou. 1884-1890 [doi]
- Modeling Skewed Class Distributions by Reshaping the Concept SpaceKyle D. Feuz, Diane J. Cook. 1891-1897 [doi]
- On Learning High Dimensional Structured Single Index ModelsRavi Ganti, Nikhil S. Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak. 1898-1904 [doi]
- Local Centroids Structured Non-Negative Matrix FactorizationHongchang Gao, Feiping Nie, Heng Huang. 1905-1911 [doi]
- Low-Rank Factorization of Determinantal Point ProcessesMike Gartrell, Ulrich Paquet, Noam Koenigstein. 1912-1918 [doi]
- Robust Loss Functions under Label Noise for Deep Neural NetworksAritra Ghosh, Himanshu Kumar, P. S. Sastry. 1919-1925 [doi]
- Exploring Commonality and Individuality for Multi-Modal Curriculum LearningChen Gong. 1926-1933 [doi]
- MPGL: An Efficient Matching Pursuit Method for Generalized LASSODong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi. 1934-1940 [doi]
- Weighted Bandits or: How Bandits Learn Distorted Values That Are Not ExpectedAditya Gopalan, Prashanth L. A., Michael Fu, Steve Marcus. 1941-1947 [doi]
- Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe AlgorithmXiawei Guo, Quanming Yao, James Tin-Yau Kwok. 1948-1954 [doi]
- Convex Co-Embedding for Matrix Completion with Predictive Side InformationYuhong Guo. 1955-1961 [doi]
- Continuous Conditional Dependency Network for Structured RegressionChao Han, Mohamed F. Ghalwash, Zoran Obradovic. 1962-1968 [doi]
- Bilateral k-Means Algorithm for Fast Co-ClusteringJunwei Han, Kun Song, Feiping Nie, Xuelong Li. 1969-1975 [doi]
- Alternating Back-Propagation for Generator NetworkTian Han, Yang Lu, Song Chun Zhu, Ying Nian Wu. 1976-1984 [doi]
- Enumerate Lasso Solutions for Feature SelectionSatoshi Hara, Takanori Maehara. 1985-1991 [doi]
- Scalable Algorithm for Higher-Order Co-Clustering via Random SamplingDaisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi. 1992-1999 [doi]
- Learning Invariant Deep Representation for NIR-VIS Face RecognitionRan He, Xiang Wu, Zhenan Sun, Tieniu Tan. 2000-2006 [doi]
- A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process RegressionQuang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low. 2007-2014 [doi]
- Semi-Supervised Adaptive Label Distribution Learning for Facial Age EstimationPeng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv. 2015-2021 [doi]
- Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent SystemsBrian Hrolenok, Byron Boots, Tucker Hybinette Balch. 2022-2028 [doi]
- Sequential Classification-Based Optimization for Direct Policy SearchYi-Qi Hu, Hong Qian, Yang Yu. 2029-2035 [doi]
- A Riemannian Network for SPD Matrix LearningZhiwu Huang, Luc J. Van Gool. 2036-2042 [doi]
- Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex OptimizationZhouyuan Huo, Heng Huang. 2043-2049 [doi]
- Learning Unitary Operators with Help From u(n)Stephanie L. Hyland, Gunnar Rätsch. 2050-2058 [doi]
- Denoising Criterion for Variational Auto-Encoding FrameworkDaniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio. 2059-2065 [doi]
- Recovering True Classifier Performance in Positive-Unlabeled LearningShantanu Jain, Martha White, Predrag Radivojac. 2066-2072 [doi]
- Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble PruningZhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu. 2073-2079 [doi]
- Twin Learning for Similarity and Clustering: A Unified Kernel ApproachZhao Kang, Chong Peng, Qiang Cheng. 2080-2086 [doi]
- Tunable Sensitivity to Large Errors in Neural Network TrainingGil Keren, Sivan Sabato, Björn W. Schuller. 2087-2093 [doi]
- Binary Embedding with Additive Homogeneous KernelsSaehoon Kim, Seungjin Choi. 2094-2100 [doi]
- Structured Inference Networks for Nonlinear State Space ModelsRahul G. Krishnan, Uri Shalit, David Sontag. 2101-2109 [doi]
- Estimating Uncertainty Online Against an AdversaryVolodymyr Kuleshov, Stefano Ermon. 2110-2116 [doi]
- Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification PerformanceAtsutoshi Kumagai, Tomoharu Iwata. 2117-2123 [doi]
- Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided ExplorationHimabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz. 2124-2132 [doi]
- Dynamic Action Repetition for Deep Reinforcement LearningAravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran. 2133-2139 [doi]
- Playing FPS Games with Deep Reinforcement LearningGuillaume Lample, Devendra Singh Chaplot. 2140-2146 [doi]
- Transfer Reinforcement Learning with Shared DynamicsRomain Laroche, Merwan Barlier. 2147-2153 [doi]
- Transfer Learning for Deep Learning on Graph-Structured DataJaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon. 2154-2160 [doi]
- Efficient Online Model Adaptation by Incremental Simplex TableauZhixian Lei, Xuehan Ye, Yongcai Wang, Deying Li, Jia Xu. 2161-2167 [doi]
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- Self-Paced Multi-Task LearningChangsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha. 2175-2181 [doi]
- Infinitely Many-Armed Bandits with Budget ConstraintsHaifang Li, Yingce Xia. 2182-2188 [doi]
- Sparse Subspace Clustering by Learning Approximation ℓ0 CodesJun Li, Yu Kong, Yun Fu. 2189-2195 [doi]
- Riemannian Submanifold Tracking on Low-Rank Algebraic VarietyQian Li, Zhichao Wang. 2196-2202 [doi]
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- Learning Safe Prediction for Semi-Supervised RegressionYu-Feng Li, Han-Wen Zha, Zhi-Hua Zhou. 2217-2223 [doi]
- A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk AnalysisZhe Li, Tianbao Yang, Lijun Zhang 0005, Rong Jin. 2224-2230 [doi]
- Balanced Clustering with Least Square RegressionHanyang Liu, Junwei Han, Feiping Nie, Xuelong Li. 2231-2237 [doi]
- Ordinal Constrained Binary Code Learning for Nearest Neighbor SearchHong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang. 2238-2244 [doi]
- Sparse Deep Transfer Learning for Convolutional Neural NetworkJiaming Liu, Yali Wang, Yu Qiao 0001. 2245-2251 [doi]
- Cost-Sensitive Feature Selection via F-Measure Optimization ReductionMeng Liu, Chang Xu, Yong Luo, Chao Xu 0006, Yonggang Wen, Dacheng Tao. 2252-2258 [doi]
- Multiple Kernel k-Means with Incomplete KernelsXinwang Liu, Miaomiao Li, Lei Wang 0001, Yong Dou, Jianping Yin, En Zhu. 2259-2265 [doi]
- Optimal Neighborhood Kernel Clustering with Multiple KernelsXinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin. 2266-2272 [doi]
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- Infinite Kernel Learning: Generalization Bounds and AlgorithmsYong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang. 2280-2286 [doi]
- Accelerated Variance Reduced Stochastic ADMMYuanyuan Liu, Fanhua Shang, James Cheng. 2287-2293 [doi]
- Semi-Supervised Classifications via Elastic and Robust EmbeddingYun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang. 2294-2300 [doi]
- Approximate Conditional Gradient Descent on Multi-Class ClassificationZhuanghua Liu, Ivor Tsang. 2301-2307 [doi]
- Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic ModelingMinnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng. 2308-2314 [doi]
- Active Search for Sparse Signals with Region SensingYifei Ma, Roman Garnett, Jeff G. Schneider. 2315-2321 [doi]
- Where to Add Actions in Human-in-the-Loop Reinforcement LearningTravis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popovic. 2322-2328 [doi]
- Asynchronous Stochastic Proximal Optimization Algorithms with Variance ReductionQi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu. 2329-2335 [doi]
- Generalization Error Bounds for Optimization Algorithms via StabilityQi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu. 2336-2342 [doi]
- When and Why Are Deep Networks Better Than Shallow Ones?Hrushikesh Mhaskar, Qianli Liao, Tomaso A. Poggio. 2343-2349 [doi]
- Lifted Inference for Convex Quadratic ProgramsMartin Mladenov, Leonard Kleinhans, Kristian Kersting. 2350-2356 [doi]
- Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson DistributionsAlejandro Molina, Sriraam Natarajan, Kristian Kersting. 2357-2363 [doi]
- Deep Collective InferenceJohn Moore, Jennifer Neville. 2364-2372 [doi]
- Streaming Classification with Emerging New Class by Class Matrix SketchingXin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou. 2373-2379 [doi]
- Deep Hashing: A Joint Approach for Image Signature LearningYadong Mu, Zhu Liu. 2380-2386 [doi]
- Tsallis Regularized Optimal Transport and Ecological InferenceBoris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen. 2387-2393 [doi]
- The Multivariate Generalised von Mises Distribution: Inference and ApplicationsAlexandre K. W. Navarro, Jes Frellsen, Richard E. Turner. 2394-2400 [doi]
- Querying Partially Labelled Data to Improve a K-nn ClassifierVu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson. 2401-2407 [doi]
- Multi-View Clustering and Semi-Supervised Classification with Adaptive NeighboursFeiping Nie, Guohao Cai, Xuelong Li. 2408-2414 [doi]
- Multiclass Capped ℓp-Norm SVM for Robust ClassificationsFeiping Nie, Xiaoqian Wang, Heng Huang. 2415-2421 [doi]
- Unsupervised Large Graph EmbeddingFeiping Nie, Wei Zhu, Xuelong Li. 2422-2428 [doi]
- Matching Node Embeddings for Graph SimilarityGiannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis. 2429-2435 [doi]
- n) BarrierU. N. Niranjan, Arun Rajkumar. 2436-2442 [doi]
- Active Search in Intensionally Specified Structured SpacesDino Oglic, Roman Garnett, Thomas Gärtner. 2443-2449 [doi]
- Top-k Hierarchical ClassificationSechan Oh. 2450-2456 [doi]
- Unimodal Thompson Sampling for Graph-Structured ArmsStefano Paladino, Francesco Trovò, Marcello Restelli, Nicola Gatti 0001. 2457-2463 [doi]
- Accelerated Gradient Temporal Difference LearningYangchen Pan, Adam M. White, Martha White. 2464-2470 [doi]
- A General Framework for Sparsity Regularized Feature Selection via Iteratively Reweighted Least Square MinimizationHanyang Peng, Yong Fan. 2471-2477 [doi]
- Cascade Subspace ClusteringXi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi. 2478-2484 [doi]
- Column Networks for Collective ClassificationTrang Pham, Truyen Tran 0001, Dinh Q. Phung, Svetha Venkatesh. 2485-2491 [doi]
- A General Clustering Agreement Index: For Comparing Disjoint and Overlapping ClustersReihaneh Rabbany, Osmar R. Zaïane. 2492-2498 [doi]
- Non-Negative Inductive Matrix Completion for Discrete Dyadic DataPiyush Rai. 2499-2505 [doi]
- Online Active Linear Regression via ThresholdingCarlos Riquelme, Ramesh Johari, Baosen Zhang. 2506-2512 [doi]
- Adaptive Proximal Average Approximation for Composite Convex MinimizationLi Shen, Wei Liu, JunZhou Huang, Yu-Gang Jiang, Shiqian Ma. 2513-2519 [doi]
- Random Features for Shift-Invariant Kernels with Moment MatchingWeiwei Shen, Zhihui Yang, Jun Wang. 2520-2526 [doi]
- Compressed K-Means for Large-Scale ClusteringXiao-Bo Shen, Weiwei Liu, Ivor Tsang, Fumin Shen, Quan-Sen Sun. 2527-2533 [doi]
- Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural NetworksXu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao. 2534-2540 [doi]
- Asymmetric Discrete Graph HashingXiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang. 2541-2547 [doi]
- Spectral Clustering with Brainstorming Process for Multi-View DataJeong Woo Son, Junkey Jeon, Alex Lee, Sun-Joong Kim. 2548-2554 [doi]
- Parameter Free Large Margin Nearest Neighbor for Distance Metric LearningKun Song, Feiping Nie, Junwei Han, Xuelong Li. 2555-2561 [doi]
- Multilinear Regression for Embedded Feature Selection with Application to fMRI AnalysisXiaonan Song, Haiping Lu. 2562-2568 [doi]
- Distributed Negative Sampling for Word EmbeddingsStergios Stergiou, Zygimantas Straznickas, Rolina Wu, Kostas Tsioutsiouliklis. 2569-2575 [doi]
- Label-Free Supervision of Neural Networks with Physics and Domain KnowledgeRussell Stewart, Stefano Ermon. 2576-2582 [doi]
- Unsupervised Learning with Truncated Gaussian Graphical ModelsQinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin. 2583-2589 [doi]
- Automatic Curriculum Graph Generation for Reinforcement Learning AgentsMaxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone. 2590-2596 [doi]
- Self-Correcting Models for Model-Based Reinforcement LearningErik Talvitie. 2597-2603 [doi]
- Distant Domain Transfer LearningBen Tan, Yu Zhang 0006, Sinno Jialin Pan, Qiang Yang 0001. 2604-2610 [doi]
- Confidence-Rated Discriminative Partial Label LearningCai-Zhi Tang, Min-Ling Zhang. 2611-2617 [doi]
- Cross-Domain Ranking via Latent Space LearningJie Tang, Wendy Hall. 2618-2624 [doi]
- How to Train a Compact Binary Neural Network with High Accuracy?Wei Tang, Gang Hua, Liang Wang 0001. 2625-2631 [doi]
- Policy Search with High-Dimensional Context VariablesVoot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters 0001, Masashi Sugiyama. 2632-2638 [doi]
- Coactive Critiquing: Elicitation of Preferences and FeaturesStefano Teso, Paolo Dragone, Andrea Passerini. 2639-2645 [doi]
- Importance Sampling with Unequal SupportPhilip S. Thomas, Emma Brunskill. 2646-2652 [doi]
- Achieving Privacy in the Adversarial Multi-Armed BanditAristide Charles Yedia Tossou, Christos Dimitrakakis. 2653-2659 [doi]
- Thompson Sampling for Stochastic Bandits with Graph FeedbackAristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi. 2660-2666 [doi]
- Selecting Sequences of Items via Submodular MaximizationSebastian Tschiatschek, Adish Singla, Andreas Krause 0001. 2667-2673 [doi]
- Variable Kernel Density Estimation in High-Dimensional Feature SpacesChristiaan Maarten van der Walt, Etienne Barnard. 2674-2680 [doi]
- Regularization for Unsupervised Deep Neural NetsBaiyang Wang, Diego Klabjan. 2681-2687 [doi]
- Relational Deep Learning: A Deep Latent Variable Model for Link PredictionHao Wang 0014, Xingjian Shi, Dit-Yan Yeung. 2688-2694 [doi]
- Factorization Bandits for Interactive RecommendationHuazheng Wang, Qingyun Wu, Hongning Wang. 2695-2702 [doi]
- Latent Smooth Skeleton EmbeddingLi Wang, Qi Mao, Ivor W. Tsang. 2703-2709 [doi]
- Polynomial Optimization Methods for Matrix FactorizationPo-Wei Wang, Chun-Liang Li, J. Zico Kolter. 2710-2717 [doi]
- Two-Dimensional PCA with F-Norm MinimizationQianqian Wang, Quanxue Gao. 2718-2724 [doi]
- Feature Selection Guided Auto-EncoderShuyang Wang, Zhengming Ding, Yun Fu. 2725-2731 [doi]
- Fredholm Multiple Kernel Learning for Semi-Supervised Domain AdaptationWei Wang, Hao Wang, Chen Zhang, Yang Gao. 2732-2738 [doi]
- Fast Online Incremental Learning on Mixture Streaming DataYi Wang, Xin Fan, Zhongxuan Luo, Tianzhu Wang, Maomao Min, Jiebo Luo. 2739-2745 [doi]
- Efficient Ordered Combinatorial Semi-Bandits for Whole-Page RecommendationYingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang. 2746-2753 [doi]
- Unbiased Multivariate Correlation AnalysisYisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia. 2754-2760 [doi]
- Beyond RPCA: Flattening Complex Noise in the Frequency DomainYunhe Wang, Chang Xu, Chao Xu 0006, Dacheng Tao. 2761-2767 [doi]
- k-Fold Cross-Validation by Alpha SeedingZeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen, Rui Zhang 0003. 2768-2774 [doi]
- Rank Ordering Constraints Elimination with Application for Kernel LearningYing Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu. 2775-2781 [doi]
- Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions ProgrammingHai-ming Xu, Hui Xue, Xiaohong Chen, Yunyun Wang. 2782-2788 [doi]
- Cleaning the Null Space: A Privacy Mechanism for PredictorsKe Xu, Tongyi Cao, Swair Shah, Crystal Maung, Haim Schweitzer. 2789-2795 [doi]
- Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk GuaranteeYi Xu, Haiqin Yang, Lijun Zhang 0005, Tianbao Yang. 2796-2802 [doi]
- A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse LearningZheng Xu 0005, JunZhou Huang. 2803-2809 [doi]
- Multi-View Correlated Feature Learning by Uncovering Shared ComponentXiaowei Xue, Feiping Nie, Sen Wang, Xiaojun Chang, Bela Stantic, Min Yao. 2810-2816 [doi]
- A Framework of Online Learning with Imbalanced Streaming DataYan Yan, Tianbao Yang, Yi Yang, Jianhui Chen. 2817-2823 [doi]
- TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health RecordsKai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang. 2824-2830 [doi]
- Deep Learning for Fixed Model ReuseYang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou. 2831-2837 [doi]
- Learning Deep Latent Space for Multi-Label ClassificationChih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang. 2838-2844 [doi]
- A Unified Algorithm for One-Cass Structured Matrix Factorization with Side InformationHsiang-Fu Yu, Hsin-Yuan Huang, Inderjit S. Dhillon, Chih-Jen Lin. 2845-2851 [doi]
- SeqGAN: Sequence Generative Adversarial Nets with Policy GradientLantao Yu, Weinan Zhang, Jun Wang, Yong Yu. 2852-2858 [doi]
- CBRAP: Contextual Bandits with RAndom ProjectionXiaotian Yu, Michael R. Lyu, Irwin King. 2859-2866 [doi]
- An Exact Penalty Method for Binary Optimization Based on MPEC FormulationGanzhao Yuan, Bernard Ghanem. 2867-2875 [doi]
- Scalable Feature Selection via Distributed Diversity MaximizationSepehr Abbasi Zadeh, Mehrdad Ghadiri, Vahab S. Mirrokni, Morteza Zadimoghaddam. 2876-2883 [doi]
- Fast Compressive Phase Retrieval under Bounded NoiseHongyang Zhang, Shan You, Zhouchen Lin, Chao Xu. 2884-2890 [doi]
- Query-Efficient Imitation Learning for End-to-End Simulated DrivingJiakai Zhang, KyungHyun Cho. 2891-2897 [doi]
- Growing Interpretable Part Graphs on ConvNets via Multi-Shot LearningQuanshi Zhang, Ruiming Cao, Ying Nian Wu, Song Chun Zhu. 2898-2906 [doi]
- Universum Prescription: Regularization Using Unlabeled DataXiang Zhang, Yann LeCun. 2907-2913 [doi]
- Learning Sparse Task Relations in Multi-Task LearningYu Zhang, Qiang Yang 0001. 2914-2920 [doi]
- Multi-View Clustering via Deep Matrix FactorizationHandong Zhao, Zhengming Ding, Yun Fu. 2921-2927 [doi]
- SCOPE: Scalable Composite Optimization for Learning on SparkShen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li. 2928-2934 [doi]
- Lock-Free Optimization for Non-Convex ProblemsShen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li. 2935-2941 [doi]
- Scalable Graph Embedding for Asymmetric ProximityChang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao. 2942-2948 [doi]
- Bilinear Probabilistic Canonical Correlation Analysis via Hybrid ConcatenationsYang Zhou, Haiping Lu, Yiu-ming Cheung. 2949-2955 [doi]
- Parametric Dual Maximization for Non-Convex Learning ProblemsYuxun Zhou, Zhaoyi Kang, Costas J. Spanos. 2956-2962 [doi]
- One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and SubspaceXiaofeng Zhu, Wei He, Yonggang Li, Yang Yang 0002, Shichao Zhang, Rongyao Hu, Yonghua Zhu. 2963-2969 [doi]
- Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image ClassificationXiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Di Wu, Li Cheng, Sen Li, Ruimin Hu. 2970-2976 [doi]
- Discover Multiple Novel Labels in Multi-Instance Multi-Label LearningYue Zhu, Kai Ming Ting, Zhi-Hua Zhou. 2977-2984 [doi]
- Improving Surveillance Using Cooperative Target ObservationRashi Aswani, Sai Krishna Munnangi, Praveen Paruchuri. 2985-2991 [doi]
- Query Complexity of Tournament SolutionsPalash Dey. 2992-2998 [doi]
- Centralized versus Personalized Commitments and Their Influence on Cooperation in Group InteractionsThe Anh Han, Luís Moniz Pereira, Luis A. Martinez-Vaquero, Tom Lenaerts. 2999-3005 [doi]
- Kont: Computing Tradeoffs in Normative Multiagent SystemsÖzgür Kafali, Nirav Ajmeri, Munindar P. Singh. 3006-3012 [doi]
- Parameterised Verification of Infinite State Multi-Agent Systems via Predicate AbstractionPanagiotis Kouvaros, Alessio Lomuscio. 3013-3020 [doi]
- Decentralized Planning in Stochastic Environments with Submodular RewardsRajiv Ranjan Kumar, Pradeep Varakantham, Akshat Kumar. 3021-3028 [doi]
- Solving Seven Open Problems of Offline and Online Control in Borda ElectionsMarc Neveling, Jörg Rothe. 3029-3035 [doi]
- Collective Multiagent Sequential Decision Making Under UncertaintyDuc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau. 3036-3043 [doi]
- Nurturing Group-Beneficial Information-Gathering Behaviors Through Above-Threshold Criteria SettingIgor Rochlin, David Sarne, Maytal Bremer, Ben Grynhaus. 3044-3052 [doi]
- Improving Multi-Document Summarization via Text ClassificationZiqiang Cao, Wenjie Li, Sujian Li, Furu Wei. 3053-3059 [doi]
- Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity DescriptionsGuoliang Ji, Kang Liu 0001, Shizhu He, Jun Zhao 0001. 3060-3066 [doi]
- Neural Bag-of-NgramsBofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du. 3067-3074 [doi]
- SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of DocumentsRamesh Nallapati, Feifei Zhai, Bowen Zhou. 3075-3081 [doi]
- Unit Dependency Graph and Its Application to Arithmetic Word Problem SolvingSubhro Roy, Dan Roth. 3082-3088 [doi]
- Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and SystemsSaku Sugawara, Hikaru Yokono, Akiko Aizawa. 3089-3096 [doi]
- Neural Machine Translation with ReconstructionZhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li. 3097-3103 [doi]
- SSP: Semantic Space Projection for Knowledge Graph Embedding with Text DescriptionsHan Xiao 0005, Minlie Huang, Lian Meng, Xiaoyan Zhu. 3104-3110 [doi]
- Efficiently Answering Technical Questions - A Knowledge Graph ApproachShuo Yang, Lei Zou, Zhongyuan Wang, Jun Yan, Ji-Rong Wen. 3111-3118 [doi]
- Incorporating Knowledge Graph Embeddings into Topic ModelingLiang Yao, Yin Zhang, Baogang Wei, Zhe Jin, Rui Zhang, Yangyang Zhang, Qinfei Chen. 3119-3126 [doi]
- A Context-Enriched Neural Network Method for Recognizing Lexical EntailmentKun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv. 3127-3134 [doi]
- Bayesian Neural Word EmbeddingOren Barkan. 3135-3143 [doi]
- Improving Word Embeddings with Convolutional Feature Learning and Subword InformationShaosheng Cao, Wei Lu. 3144-3151 [doi]
- Joint Copying and Restricted Generation for ParaphraseZiqiang Cao, Chuwei Luo, Wenjie Li, Sujian Li. 3152-3158 [doi]
- Unsupervised Learning of Evolving Relationships Between Literary CharactersSnigdha Chaturvedi, Mohit Iyyer, Hal Daumé III. 3159-3165 [doi]
- Translation Prediction with Source Dependency-Based Context RepresentationKehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu. 3166-3172 [doi]
- Maximum Reconstruction Estimation for Generative Latent-Variable ModelsYong Cheng, Yang Liu, Wei Xu. 3173-3179 [doi]
- Incorporating Expert Knowledge into Keyphrase ExtractionSujatha Das Gollapalli, Xiao-Li Li, Peng Yang. 3180-3187 [doi]
- Unsupervised Learning for Lexicon-Based ClassificationJacob Eisenstein. 3188-3194 [doi]
- Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal KnowledgeMatt Gardner, Jayant Krishnamurthy. 3195-3201 [doi]
- Geometry of CompositionalityHongyu Gong, Suma Bhat, Pramod Viswanath. 3202-3208 [doi]
- Disambiguating Spatial Prepositions Using Deep Convolutional NetworksKaveh Hassani, Won-Sook Lee. 3209-3215 [doi]
- A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social MediaHangfeng He, Xu Sun. 3216-3222 [doi]
- Recurrent Attentional Topic ModelShuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang. 3223-3229 [doi]
- Representations of Context in Recognizing the Figurative and Literal Usages of IdiomsChangsheng Liu, Rebecca Hwa. 3230-3236 [doi]
- Deterministic Attention for Sequence-to-Sequence Constituent ParsingChunpeng Ma, Lemao Liu, Akihiro Tamura, Tiejun Zhao, Eiichiro Sumita. 3237-3243 [doi]
- S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability DistributionsXianling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen. 3244-3251 [doi]
- Coherent Dialogue with Attention-Based Language ModelsHongyuan Mei, Mohit Bansal, Matthew R. Walter. 3252-3258 [doi]
- Definition Modeling: Learning to Define Word Embeddings in Natural LanguageThanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey. 3259-3266 [doi]
- Incrementally Learning the Hierarchical Softmax Function for Neural Language ModelsHao Peng, Jianxin Li, Yangqiu Song, Yaopeng Liu. 3267-3273 [doi]
- Condensed Memory Networks for Clinical Diagnostic InferencingAaditya Prakash, Siyuan Zhao, Sadid A. Hasan, Vivek Datla, Kathy Lee, Ashequl Qadir, Joey Liu, Oladimeji Farri. 3274-3280 [doi]
- Robsut Wrod Reocginiton via Semi-Character Recurrent Neural NetworkKeisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme. 3281-3287 [doi]
- Multiresolution Recurrent Neural Networks: An Application to Dialogue Response GenerationIulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville. 3288-3294 [doi]
- A Hierarchical Latent Variable Encoder-Decoder Model for Generating DialoguesIulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio. 3295-3301 [doi]
- Lattice-Based Recurrent Neural Network Encoders for Neural Machine TranslationJinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu. 3302-3308 [doi]
- Semantic Parsing with Neural Hybrid TreesRaymond Hendy Susanto, Wei Lu. 3309-3315 [doi]
- Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion TermsWenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao. 3316-3322 [doi]
- Dual-Clustering Maximum Entropy with Application to Classification and Word EmbeddingXiaolong Wang, Jingjing Wang, ChengXiang Zhai. 3323-3329 [doi]
- Neural Machine Translation Advised by Statistical Machine TranslationXing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang. 3330-3336 [doi]
- A Dynamic Window Neural Network for CCG SupertaggingHuijia Wu, Jiajun Zhang, Chengqing Zong. 3337-3343 [doi]
- Distinguish Polarity in Bag-of-Words VisualizationYusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary. 3344-3350 [doi]
- Topic Aware Neural Response GenerationChen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma. 3351-3357 [doi]
- Variational Autoencoder for Semi-Supervised Text ClassificationWeidi Xu, Haoze Sun, Chao Deng, Ying Tan. 3358-3364 [doi]
- Neural Models for Sequence ChunkingFeifei Zhai, Saloni Potdar, Bing Xiang, Bowen Zhou. 3365-3371 [doi]
- BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase EmbeddingsBiao Zhang, Deyi Xiong, Jinsong Su. 3372-3378 [doi]
- Bilingual Lexicon Induction from Non-Parallel Data with Minimal SupervisionMeng Zhang, Haoruo Peng, Yang Liu, Huan-Bo Luan, Maosong Sun. 3379-3385 [doi]
- Active Discriminative Text Representation LearningYe Zhang, Matthew Lease, Byron C. Wallace. 3386-3392 [doi]
- Learning Context-Specific Word/Character EmbeddingsXiaoqing Zheng, JiangTao Feng, Yi Chen, Haoyuan Peng, Wenqing Zhang. 3393-3399 [doi]
- Mechanism-Aware Neural Machine for Dialogue Response GenerationGanbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He. 3400-3407 [doi]
- Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured CorporaLidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen. 3408-3414 [doi]
- Using Discourse Signals for Robust Instructor Intervention PredictionMuthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman. 3415-3421 [doi]
- Automatic Emphatic Information Extraction from Aligned Acoustic Data and Its Application on Sentence CompressionYanju Chen, Rong Pan. 3422-3428 [doi]
- Unsupervised Sentiment Analysis with Signed Social NetworksKewei Cheng, Jundong Li, Jiliang Tang, Huan Liu. 3429-3435 [doi]
- Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target ExtractionYing Ding, Jianfei Yu, Jing Jiang. 3436-3442 [doi]
- Distant Supervision via Prototype-Based Global Representation LearningXianpei Han, Le Sun. 3443-3449 [doi]
- What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTMLinmei Hu, Juanzi Li, Liqiang Nie, Xiao-Li Li, Chao Shao. 3450-3456 [doi]
- Efficient Dependency-Guided Named Entity RecognitionZhanming Jie, Aldrian Obaja Muis, Wei Lu. 3457-3465 [doi]
- Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural NetworksCanasai Kruengkrai, Kentaro Torisawa, Chikara Hashimoto, Julien Kloetzer, Jong-Hoon Oh, Masahiro Tanaka. 3466-3473 [doi]
- Efficiently Mining High Quality Phrases from TextsBing Li, Xiaochun Yang, Bin Wang, Wei Cui. 3474-3481 [doi]
- Learning Latent Sentiment Scopes for Entity-Level Sentiment AnalysisHao Li, Wei Lu. 3482-3489 [doi]
- Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many MappingsNana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu. 3490-3496 [doi]
- Salience Estimation via Variational Auto-Encoders for Multi-Document SummarizationPiji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing. 3497-3503 [doi]
- Collaborative User Clustering for Short Text StreamsShangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas. 3504-3510 [doi]
- Word Embedding Based Correlation Model for Question/Answer MatchingYikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong. 3511-3517 [doi]
- Greedy Flipping for Constrained Word DeletionJin-ge Yao, Xiaojun Wan. 3518-3524 [doi]
- Attentive Interactive Neural Networks for Answer Selection in Community Question AnsweringXiaodong Zhang, Sujian Li, Lei Sha, Houfeng Wang. 3525-3531 [doi]
- Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network LearningZhou Zhao, Hanqing Lu, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang. 3532-3539 [doi]
- Plan Reordering and Parallel Execution - A Parameterized Complexity ViewMeysam Aghighi, Christer Bäckström. 3540-3546 [doi]
- Validating Domains and Plans for Temporal Planning via Encoding into Infinite-State Linear Temporal LogicAlessandro Cimatti, Andrea Micheli, Marco Roveri. 3547-3554 [doi]
- f-Based Trace AlignmentChen Xu, Zhouchen Lin, Hongbin Zhaf. 3555-3561 [doi]
- Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPsFrits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan. 3562-3568 [doi]
- Optimizing Quantiles in Preference-Based Markov Decision ProcessesHugo Gilbert, Paul Weng, Yan Xu. 3569-3575 [doi]
- An Analysis of Monte Carlo Tree SearchSteven James, George Konidaris, Benjamin Rosman. 3576-3582 [doi]
- An Efficient Approach to Model-Based Hierarchical Reinforcement LearningZhuoru Li, Akshay Narayan, Tze-Yun Leong. 3583-3589 [doi]
- Best-First Width Search: Exploration and Exploitation in Classical PlanningNir Lipovetzky, Hector Geffner. 3590-3596 [doi]
- Robust Execution of Probabilistic Temporal PlansKyle Lund, Sam Dietrich, Scott Chow, James C. Boerkoel. 3597-3604 [doi]
- Multi-Agent Path Finding with Delay ProbabilitiesHang Ma 0001, T. K. Satish Kumar, Sven Koenig. 3605-3612 [doi]
- Logical Filtering and Smoothing: State Estimation in Partially Observable DomainsBrent Mombourquette, Christian J. Muise, Sheila A. McIlraith. 3613-3621 [doi]
- Landmark-Based Heuristics for Goal RecognitionRamon Fraga Pereira, Nir Oren, Felipe Meneguzzi. 3622-3628 [doi]
- Fast SSP Solvers Using Short-Sighted LabelingLuis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein. 3629-3635 [doi]
- Higher-Dimensional Potential Heuristics for Optimal Classical PlanningFlorian Pommerening, Malte Helmert, Blai Bonet. 3636-3643 [doi]
- Schematic Invariants by Reduction to Ground InvariantsJussi Rintanen. 3644-3650 [doi]
- Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical PlanningJendrik Seipp, Thomas Keller 0001, Malte Helmert. 3651-3657 [doi]
- Incorporating Domain-Independent Planning Heuristics in Hierarchical PlanningVikas Shivashankar, Ron Alford, David W. Aha. 3658-3664 [doi]
- Computational Issues in Time-Inconsistent PlanningPingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu. 3665-3671 [doi]
- Accelerated Vector Pruning for Optimal POMDP SolversErwin Walraven, Matthijs T. J. Spaan. 3672-3678 [doi]
- When to Reset Your Keys: Optimal Timing of Security Updates via LearningZizhan Zheng, Ness B. Shroff, Prasant Mohapatra. 3679-3685 [doi]
- Human-Aware Plan RecognitionHankz Hankui Zhuo. 3686-3693 [doi]
- Minimal Undefinedness for Fuzzy Answer SetsMario Alviano, Giovanni Amendola, Rafael Peñaloza. 3694-3700 [doi]
- Open-Universe Weighted Model CountingVaishak Belle. 3701-3708 [doi]
- Deterministic versus Probabilistic Methods for Searching for an Evasive TargetSara Bernardini, Maria Fox, Derek Long, Chiara Piacentini. 3709-3715 [doi]
- Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite TracesAlberto Camacho, Eleni Triantafillou, Christian J. Muise, Jorge A. Baier, Sheila A. McIlraith. 3716-3724 [doi]
- Optimizing Expectation with Guarantees in POMDPsKrishnendu Chatterjee, Petr Novotný 0001, Guillermo A. Pérez, Jean-François Raskin, Dorde Zikelic. 3725-3732 [doi]
- Latent Dependency Forest ModelsShanbo Chu, Yong Jiang, Kewei Tu. 3733-3739 [doi]
- Causal Effect Identification by Adjustment under Confounding and Selection BiasesJuan D. Correa, Elias Bareinboim. 3740-3746 [doi]
- The Linearization of Belief Propagation on Pairwise Markov Random FieldsWolfgang Gatterbauer. 3747-3753 [doi]
- The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least SquaresGregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann. 3754-3760 [doi]
- Misspecified Linear BanditsAvishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan. 3761-3767 [doi]
- Reasoning about Cognitive Trust in Stochastic Multiagent SystemsXiaowei Huang, Marta Zofia Kwiatkowska. 3768-3774 [doi]
- Anytime Best+Depth-First Search for Bounding Marginal MAPRadu Marinescu 0002, Junkyu Lee, Alexander T. Ihler, Rina Dechter. 3775-3782 [doi]
- Multi-Objective Influence Diagrams with Possibly Optimal PoliciesRadu Marinescu 0002, Abdul Razak, Nic Wilson. 3783-3789 [doi]
- Hindsight Optimization for Hybrid State and Action MDPsAswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern. 3790-3796 [doi]
- I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor BehaviorFelix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin A. Rothkopf. 3797-3803 [doi]
- Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order PenaltiesZhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel. 3804-3811 [doi]
- Deep Learning Quadcopter Control via Risk-Aware Active LearningOlov Andersson, Mariusz Wzorek, Patrick Doherty. 3812-3818 [doi]
- Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile RobotPaul Duckworth, Muhannad Al-Omari, James Charles, David C. Hogg, Anthony G. Cohn. 3819-3826 [doi]
- Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy MapsVitor Campanholo Guizilini, Fabio Tozeto Ramos. 3827-3833 [doi]
- Grounded Action Transformation for Robot Learning in SimulationJosiah P. Hanna, Peter Stone. 3834-3840 [doi]
- A Diversified Generative Latent Variable Model for WiFi-SLAMHao Xiong, Dacheng Tao. 3841-3847 [doi]
- Associate Latent Encodings in Learning from DemonstrationsHang Yin, Francisco S. Melo, Aude Billard, Ana Paiva. 3848-3854 [doi]
- Dynamically Constructed (PO)MDPs for Adaptive Robot PlanningShiQi Zhang, Piyush Khandelwal, Peter Stone. 3855-3863 [doi]
- A SAT-Based Approach for Solving the Modal Logic S5-Satisfiability ProblemThomas Caridroit, Jean-Marie Lagniez, Daniel Le Berre, Tiago De Lima, Valentin Montmirail. 3864-3870 [doi]
- A BTP-Based Family of Variable Elimination Rules for Binary CSPsAchref El Mouelhi. 3871-3877 [doi]
- Algorithms for Deciding Counting Quantifiers over Unary PredicatesMarcelo Finger, Glauber De Bona. 3878-3884 [doi]
- Maximum Model CountingDaniel J. Fremont, Markus N. Rabe, Sanjit A. Seshia. 3885-3892 [doi]
- Phase Transitions for Scale-Free SAT FormulasTobias Friedrich 0001, Anton Krohmer, Ralf Rothenberger, Andrew M. Sutton. 3893-3899 [doi]
- The Opacity of BackbonesLane A. Hemaspaandra, David E. Narváez. 3900-3906 [doi]
- Between Subgraph Isomorphism and Maximum Common SubgraphRuth Hoffmann, Ciaran McCreesh, Craig Reilly. 3907-3914 [doi]
- Should Algorithms for Random SAT and Max-SAT Be Different?Sixue Liu, Gerard de Melo. 3915-3921 [doi]
- Soft and Cost MDD PropagatorsGuillaume Perez, Jean-Charles Régin. 3922-3928 [doi]
- Rigging Nearly Acyclic Tournaments Is Fixed-Parameter TractableM. S. Ramanujan, Stefan Szeider. 3929-3935 [doi]
- RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch ProblemSaeedeh Shekarpour, Edgard Marx, Sören Auer, Amit P. Sheth. 3936-3943 [doi]
- CoCoA: A Non-Iterative Approach to a Local Search (A)DCOP SolverCornelis Jan van Leeuwen, Przemyslaw Pawelczak. 3944-3950 [doi]
- Extending Compact-Table to Negative and Short TablesHélène Verhaeghe, Christophe Lecoutre, Pierre Schaus. 3951-3957 [doi]
- General Bounds on Satisfiability Thresholds for Random CSPs via Fourier AnalysisColin Wei, Stefano Ermon. 3958-3966 [doi]
- Regularized Diffusion Process for Visual RetrievalSong Bai, Xiang Bai, Qi Tian, Longin Jan Latecki. 3967-3973 [doi]
- Collective Deep Quantization for Efficient Cross-Modal RetrievalYue Cao, Mingsheng Long, Jianmin Wang 0001, Shichen Liu. 3974-3980 [doi]
- Reference Based LSTM for Image CaptioningMinghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Qiang Liu, Jungong Han. 3981-3987 [doi]
- A Multi-Task Deep Network for Person Re-IdentificationWeihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang. 3988-3994 [doi]
- VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning ProblemRonald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni. 3995-4001 [doi]
- Deep Correlated Metric Learning for Sketch-based 3D Shape RetrievalGuoxian Dai, Jin Xie, Fan Zhu, Yi Fang. 4002-4008 [doi]
- Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face RecognitionZhen Dong, Su Jia, Chi Zhang, Mingtao Pei, Yuwei Wu. 4009-4015 [doi]
- Sherlock: Scalable Fact Learning in ImagesMohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal. 4016-4024 [doi]
- Robust Visual Tracking via Local-Global Correlation FilterHeng Fan, Jinhai Xiang. 4025-4031 [doi]
- DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in VideosChuang Gan, Chen Sun, Ram Nevatia. 4032-4038 [doi]
- Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian NetworkQuan Gan, Siqi Nie, Shangfei Wang, Qiang Ji. 4039-4045 [doi]
- Active Video Summarization: Customized Summaries via On-line Interaction with the UserAna Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan. 4046-4052 [doi]
- Building an End-to-End Spatial-Temporal Convolutional Network for Video Super-ResolutionJun Guo, Hongyang Chao. 4053-4060 [doi]
- Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo LabelsYuchen Guo, Guiguang Ding, Jungong Han, Yue Gao. 4061-4067 [doi]
- Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute ClassificationEmily M. Hand, Rama Chellappa. 4068-4074 [doi]
- Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-Grained Image ClassificationXiangteng He, Yuxin Peng. 4075-4081 [doi]
- Video Recovery via Learning Variation and Consistency of ImagesZhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang. 4082-4088 [doi]
- Nonnegative Orthogonal Graph MatchingBo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo. 4089-4095 [doi]
- Multi-Path Feedback Recurrent Neural Networks for Scene ParsingXiaojie Jin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan. 4096-4102 [doi]
- Detection and Recognition of Text Embedded in Online Images via Neural Context ModelsChulmoo Kang, Gunhee Kim, Suk I. Yoo. 4103-4110 [doi]
- Weakly Supervised Semantic Segmentation Using Superpixel Pooling NetworkSuha Kwak, Seunghoon Hong, Bohyung Han. 4111-4117 [doi]
- Robust MIL-Based Feature Template Learning for Object TrackingXiangyuan Lan, Pong C. Yuen, Rama Chellappa. 4118-4125 [doi]
- Learning Patch-Based Dynamic Graph for Visual TrackingChenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang. 4126-4132 [doi]
- Image Caption with Global-Local AttentionLinghui Li, Sheng Tang, Lixi Deng, Yongdong Zhang, Qi Tian. 4133-4139 [doi]
- Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion ModelsSiyi Li, Dit-Yan Yeung. 4140-4146 [doi]
- A Multiview-Based Parameter Free Framework for Group DetectionXuelong Li, Mulin Chen, Feiping Nie, Qi Wang. 4147-4153 [doi]
- Weakly-Supervised Deep Nonnegative Low-Rank Model for Social Image Tag Refinement and AssignmentZechao Li, Jinhui Tang. 4154-4160 [doi]
- TextBoxes: A Fast Text Detector with a Single Deep Neural NetworkMinghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, Wenyu Liu. 4161-4167 [doi]
- An Artificial Agent for Robust Image RegistrationRui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu. 4168-4175 [doi]
- Attention Correctness in Neural Image CaptioningChenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille. 4176-4182 [doi]
- Boosting Complementary Hash Tables for Fast Nearest Neighbor SearchXianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li. 4183-4189 [doi]
- Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained RecognitionXiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin. 4190-4196 [doi]
- Video Captioning with Listwise SupervisionYuan Liu, Xue Li, Zhongchao Shi. 4197-4203 [doi]
- Closing the Loop for Edge Detection and Object ProposalsYao Lu, Linda G. Shapiro. 4204-4210 [doi]
- Learning Discriminative Activated Simplices for Action RecognitionChenxu Luo, Chang Ma, Chun-yu Wang, Yizhou Wang. 4211-4217 [doi]
- Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold RegularizationJiayi Ma, Ji Zhao 0001, Junjun Jiang, Huabing Zhou. 4218-4224 [doi]
- Online Multi-Target Tracking Using Recurrent Neural NetworksAnton Milan, Seyed Hamid Rezatofighi, Anthony R. Dick, Ian D. Reid 0001, Konrad Schindler. 4225-4232 [doi]
- Text-Guided Attention Model for Image CaptioningJonghwan Mun, Minsu Cho, Bohyung Han. 4233-4239 [doi]
- Fully Convolutional Neural Networks with Full-Scale-Features for Semantic SegmentationTianxiang Pan, Bin Wang, Guiguang Ding, Jun-Hai Yong. 4240-4246 [doi]
- Title Learning Latent Subevents in Activity Videos Using Temporal Attention FiltersA. J. Piergiovanni, Chenyou Fan, Michael S. Ryoo. 4247-4254 [doi]
- Privacy-Preserving Human Activity Recognition from Extreme Low ResolutionMichael S. Ryoo, Brandon Rothrock, Charles Fleming, Hyun Jong Yang. 4255-4262 [doi]
- An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton DataSijie Song, Cuiling Lan, Junliang Xing, Wenjun Zeng, Jiaying Liu. 4263-4270 [doi]
- Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNsXinhang Song, Luis Herranz, Shuqiang Jiang. 4271-4277 [doi]
- Inception-v4, Inception-ResNet and the Impact of Residual Connections on LearningChristian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi. 4278-4284 [doi]
- Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine SimilarityZhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu. 4285-4291 [doi]
- Quantifying and Detecting Collective Motion by Manifold LearningQi Wang, Mulin Chen, Xuelong Li. 4292-4298 [doi]
- Cross-View People Tracking by Scene-Centered Spatio-Temporal ParsingYuanlu Xu, Xiaobai Liu, Lei Qin, Song Chun Zhu. 4299-4305 [doi]
- Unsupervised Learning of Multi-Level Descriptors for Person Re-IdentificationYang Yang, Longyin Wen, Siwei Lyu, Stan Z. Li. 4306-4312 [doi]
- Leveraging Saccades to Learn Smooth Pursuit: A Self-Organizing Motion Tracking Model Using Restricted Boltzmann MachinesArjun Yogeswaran, Pierre Payeur. 4313-4319 [doi]
- Efficient Object Instance Search Using Fuzzy Objects MatchingTan Yu, Yuwei Wu, Sreyasee Das Bhattacharjee, Junsong Yuan. 4320-4326 [doi]
- Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural NetworksXin Yu, Fatih Porikli. 4327-4333 [doi]
- Leveraging Video Descriptions to Learn Video Question AnsweringKuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun. 4334-4340 [doi]
- Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query ImageXiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Yunhong Wang, Wangmeng Zuo, Wei-Shi Zheng. 4341-4348 [doi]
- Natural Language Acquisition and Grounding for Embodied Robotic SystemsMuhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn. 4349-4356 [doi]
- Analogical Chaining with Natural Language Instruction for Commonsense ReasoningJoseph A. Blass, Kenneth D. Forbus. 4357-4363 [doi]
- Inductive Reasoning about Ontologies Using Conceptual SpacesZied Bouraoui, Shoaib Jameel, Steven Schockaert. 4364-4370 [doi]
- Integrating the Cognitive with the Physical: Musical Path Planning for an Improvising RobotMason Bretan, Gil Weinberg. 4371-4377 [doi]
- Imagined Visual Representations as Multimodal EmbeddingsGuillem Collell, Ted Zhang, Marie-Francine Moens. 4378-4384 [doi]
- Goal Operations for Cognitive SystemsMichael T. Cox, Dustin Dannenhauer, Sravya Kondrakunta. 4385-4391 [doi]
- Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human KnowledgeWang-Zhou Dai, Zhi-Hua Zhou. 4392-4398 [doi]
- Reactive Versus Anticipative Decision Making in a Novel Gift-Giving GameElias Fernández Domingos, Juan-Carlos Burguillo, Tom Lenaerts. 4399-4405 [doi]
- Towards Continuous Scientific Data Analysis and Hypothesis EvolutionYolanda Gil, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Ravali Adusumilli, Hunter Boyce, Arunima Srivastava, Parag Mallick. 4406-4414 [doi]
- Flexible Model Induction through Heuristic Process DiscoveryPat Langley, Adam Arvay. 4415-4421 [doi]
- When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems?Smitha Milli, Falk Lieder, Thomas L. Griffiths. 4422-4428 [doi]
- Scanpath Complexity: Modeling Reading Effort Using Gaze InformationAbhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, Pushpak Bhattacharyya. 4429-4436 [doi]
- Identifying Useful Inference Paths in Large Commonsense Knowledge Bases by Retrograde AnalysisAbhishek Sharma, Keith M. Goolsbey. 4437-4443 [doi]