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ORCID31st AAAI 2017: San Francisco, California, USA
- Satinder Singh, Shaul Markovitch:
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. AAAI Press 2017
Applications
- Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash:
SnapNETS: Automatic Segmentation of Network Sequences with Node Labels. 3-9 - Franco Berbeglia, Pascal Van Hentenryck:
Taming the Matthew Effect in Online Markets with Social Influence. 10-16 - Deblina Bhattacharjee
, Anand Paul:
A Leukocyte Detection Technique in Blood Smear Images Using Plant Growth Simulation Algorithm. 17-23 - Weiran Huang, Liang Li, Wei Chen:
Partitioned Sampling of Public Opinions Based on Their Social Dynamics. 24-30 - Yangwei Liu, Hu Ding, Danyang Chen, Jinhui Xu:
Novel Geometric Approach for Global Alignment of PPI Networks. 31-37 - Yihui Ma, Jia Jia, Suping Zhou, Jingtian Fu, Yejun Liu, Zijian Tong:
Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach. 38-44 - Shaojie Tang:
Profit-Driven Team Grouping in Social Networks. 45-51 - Yongxin Yang, Yu Zheng, Timothy M. Hospedales:
Gated Neural Networks for Option Pricing: Rationality by Design. 52-58 - Muhammad Yousefnezhad, Daoqiang Zhang:
Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment. 59-65 - Lequan Yu, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images. 66-72 - Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun:
StructInf: Mining Structural Influence from Social Streams. 73-80
Artificial Intelligence and the Web
- Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang:
Transitive Hashing Network for Heterogeneous Multimedia Retrieval. 81-87 - Melisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt:
Marrying Uncertainty and Time in Knowledge Graphs. 88-94 - Aleksandr Farseev, Tat-Seng Chua:
TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning. 95-101 - Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee:
POI2Vec: Geographical Latent Representation for Predicting Future Visitors. 102-108 - Christian Hadiwinoto, Hwee Tou Ng:
A Dependency-Based Neural Reordering Model for Statistical Machine Translation. 109-115 - Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang:
Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents. 116-124 - Wataru Inariba, Takuya Akiba, Yuichi Yoshida:
Random-Radius Ball Method for Estimating Closeness Centrality. 125-131 - Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda:
Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes. 132-139 - Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang:
Treatment Effect Estimation with Data-Driven Variable Decomposition. 140-146 - Julien Leblay:
A Declarative Approach to Data-Driven Fact Checking. 147-153 - Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying:
Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding. 154-160 - Yishuang Ning, Jia Jia, Zhiyong Wu, Runnan Li, Yongsheng An, Yanfeng Wang, Helen M. Meng:
Multi-Task Deep Learning for User Intention Understanding in Speech Interaction Systems. 161-167 - Kyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, Yoshihiro Matsuo:
Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture. 168-174 - Mohamed Ahmed Sherif, Kevin Dreßler, Panayiotis Smeros, Axel-Cyrille Ngonga Ngomo:
Radon - Rapid Discovery of Topological Relations. 175-181 - Xiaoshuai Sun, Jiewei Cao, Chao Li, Lei Zhu, Heng Tao Shen:
Web-Based Semantic Fragment Discovery for On-Line Lingual-Visual Similarity. 182-188 - Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon:
Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. 189-195 - Sida Wang, Xiaojun Wan, Shikang Du:
Phrase-Based Presentation Slides Generation for Academic Papers. 196-202 - Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang:
Community Preserving Network Embedding. 203-209 - Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li:
CLARE: A Joint Approach to Label Classification and Tag Recommendation. 210-216 - Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye:
Multiple Source Detection without Knowing the Underlying Propagation Model. 217-223 - Jufeng Yang, Ming Sun, Xiaoxiao Sun:
Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network. 224-230 - Quanzeng You, Hailin Jin, Jiebo Luo:
Visual Sentiment Analysis by Attending on Local Image Regions. 231-237 - Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha:
Correlated Cascades: Compete or Cooperate. 238-244 - Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin:
Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem. 245-251 - Jia Zhang, Zheng Wang, Qian Li, Jialin Zhang, Yanyan Lan, Qiang Li, Xiaoming Sun:
Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising. 252-258 - Rui Zhu, Di Niu, Linglong Kong, Zongpeng Li:
Expectile Matrix Factorization for Skewed Data Analysis. 259-266
Cognitive Modeling and Cognitive Systems
- Arya Mazumdar, Ankit Singh Rawat:
Associative Memory Using Dictionary Learning and Expander Decoding. 267-273 - Xiaoshuai Sun, Zi Huang, Hongzhi Yin, Heng Tao Shen:
An Integrated Model for Effective Saliency Prediction. 274-281
Game Playing and Interactive Entertainment
- Michael John Schofield, Michael Thielscher:
The Efficiency of the HyperPlay Technique Over Random Sampling. 282-290
Game Theory and Economic Paradigms
- Melika Abolhassani, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier, Hadi Yami:
Market Pricing for Data Streams. 291-297 - Michael Albert, Vincent Conitzer, Peter Stone:
Automated Design of Robust Mechanisms. 298-304 - Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan:
Incentivising Monitoring in Open Normative Systems. 305-311 - Reza Alijani, Majid Farhadi, Mohammad Ghodsi, Masoud Seddighin, Ahmad S. Tajik:
Envy-Free Mechanisms with Minimum Number of Cuts. 312-318 - Shani Alkoby, David Sarne, Igal Milchtaich:
Strategic Signaling and Free Information Disclosure in Auctions. 319-327 - Haris Aziz, Sylvain Bouveret, Jérôme Lang, Simon Mackenzie:
Complexity of Manipulating Sequential Allocation. 328-334 - Haris Aziz, Gerhard Rauchecker, Guido Schryen, Toby Walsh:
Algorithms for Max-Min Share Fair Allocation of Indivisible Chores. 335-341 - Alkida Balliu, Michele Flammini, Giovanna Melideo, Dennis Olivetti:
Nash Stability in Social Distance Games. 342-348 - Alkida Balliu, Michele Flammini, Dennis Olivetti:
On Pareto Optimality in Social Distance Games. 349-355 - Nicola Basilico, Andrea Celli, Giuseppe De Nittis, Nicola Gatti:
Team-Maxmin Equilibrium: Efficiency Bounds and Algorithms. 356-362 - MohammadHossein Bateni, Hossein Esfandiari, Vahab S. Mirrokni, Saeed Seddighin:
A Study of Compact Reserve Pricing Languages. 363-368 - Soheil Behnezhad, Sina Dehghani, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Saeed Seddighin:
Faster and Simpler Algorithm for Optimal Strategies of Blotto Game. 369-375 - Gerdus Benade, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah:
Preference Elicitation For Participatory Budgeting. 376-382 - Kimmo Berg, Tuomas Sandholm:
Exclusion Method for Finding Nash Equilibrium in Multiplayer Games. 383-389 - Robert Bredereck, Jiehua Chen, Rolf Niedermeier, Svetlana Obraztsova, Nimrod Talmon:
Teams in Online Scheduling Polls: Game-Theoretic Aspects. 390-396 - Gianluca Brero, Benjamin Lubin, Sven Seuken:
Probably Approximately Efficient Combinatorial Auctions via Machine Learning. 397-405 - Markus Brill, Rupert Freeman, Svante Janson, Martin Lackner:
Phragmén's Voting Methods and Justified Representation. 406-413 - Markus Brill, Jean-François Laslier, Piotr Skowron:
Multiwinner Approval Rules as Apportionment Methods. 414-420 - Noam Brown, Christian Kroer, Tuomas Sandholm:
Dynamic Thresholding and Pruning for Regret Minimization. 421-429 - Ioannis Caragiannis, Xenophon Chatzigeorgiou, George A. Krimpas, Alexandros A. Voudouris:
Optimizing Positional Scoring Rules for Rank Aggregation. 430-436 - Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi:
On Markov Games Played by Bayesian and Boundedly-Rational Players. 437-443 - Lijie Chen, Pingzhong Tang, Ruosong Wang:
Bounded Rationality of Restricted Turing Machines. 444-450 - Theresa Csar, Martin Lackner, Reinhard Pichler, Emanuel Sallinger:
Winner Determination in Huge Elections with MapReduce. 451-458 - Marek Cygan, Lukasz Kowalik, Arkadiusz Socala, Krzysztof Sornat:
Approximation and Parameterized Complexity of Minimax Approval Voting. 459-465 - Argyrios Deligkas, George B. Mertzios, Paul G. Spirakis:
The Computational Complexity of Weighted Greedy Matching. 466-474 - Yuan Deng, Vincent Conitzer:
Disarmament Games. 473-479 - Yuan Deng, Debmalya Panigrahi, Bo Waggoner:
The Complexity of Stable Matchings under Substitutable Preferences. 480-486 - John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm:
Small Representations of Big Kidney Exchange Graphs. 487-493 - Edith Elkind, Piotr Faliszewski, Jean-François Laslier, Piotr Skowron, Arkadii Slinko, Nimrod Talmon:
What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain. 494-501 - Gabriele Farina, Nicola Gatti:
Extensive-Form Perfect Equilibrium Computation in Two-Player Games. 502-508 - Itai Feigenbaum, Matthew P. Johnson:
Selfish Knapsack. 509-515 - Diodato Ferraioli, Carmine Ventre:
Obvious Strategyproofness Needs Monitoring for Good Approximations. 516-522 - Rupert Freeman, Sébastien Lahaie, David M. Pennock:
Crowdsourced Outcome Determination in Prediction Markets. 523-529 - Jiarui Gan, Bo An, Yevgeniy Vorobeychik, Brian Gauch:
Security Games on a Plane. 530-536 - Jie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu:
Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents. 537-543 - Stephen Gross, Elliot Anshelevich, Lirong Xia:
Vote Until Two of You Agree: Mechanisms with Small Distortion and Sample Complexity. 544-550 - Daisuke Hatano, Yuichi Yoshida:
Computing Least Cores of Supermodular Cooperative Games. 551-557 - Karel Horák, Branislav Bosanský, Michal Pechoucek:
Heuristic Search Value Iteration for One-Sided Partially Observable Stochastic Games. 558-564 - Ayumi Igarashi, Dominik Peters, Edith Elkind:
Group Activity Selection on Social Networks. 565-571 - Albert Xin Jiang, Hau Chan, Kevin Leyton-Brown:
Resource Graph Games: A Compact Representation for Games with Structured Strategy Spaces. 572-578 - Hooyeon Lee, Virginia Vassilevska Williams:
Complexity of the Stable Invitations Problem. 579-585 - Bin Li, Dong Hao, Dengji Zhao, Tao Zhou:
Mechanism Design in Social Networks. 586-592 - Xiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An:
Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack. 593-599 - Jiamou Liu, Ziheng Wei:
Network, Popularity and Social Cohesion: A Game-Theoretic Approach. 600-606 - Yang Liu, Yiling Chen:
Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices. 607-613 - Wenjun Ma, Xudong Luo, Yuncheng Jiang:
An Ambiguity Aversion Model for Decision Making under Ambiguity. 614-621 - Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi:
Optimal Pricing for Submodular Valuations with Bounded Curvature. 622-628 - Martin Olsen:
On Covering Codes and Upper Bounds for the Dimension of Simple Games. 629-634 - Luis E. Ortiz, Mohammad Tanvir Irfan:
Tractable Algorithms for Approximate Nash Equilibria in Generalized Graphical Games with Tree Structure. 635-641 - Dominik Peters:
Recognising Multidimensional Euclidean Preferences. 642-648 - Dominik Peters, Martin Lackner:
Preferences Single-Peaked on a Circle. 649-655 - Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz:
Psychological Forest: Predicting Human Behavior. 656-662 - Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu:
Revenue Maximization for Finitely Repeated Ad Auctions. 663-669 - Luis Sánchez Fernández, Edith Elkind, Martin Lackner, Norberto Fernández García, Jesús Arias-Fisteus, Pablo Basanta-Val, Piotr Skowron:
Proportional Justified Representation. 670-676 - Fuuki Shigenaka, Tadashi Sekiguchi, Atsushi Iwasaki, Makoto Yokoo:
Achieving Sustainable Cooperation in Generalized Prisoner's Dilemma with Observation Errors. 677-683 - Sujoy Sikdar, Sibel Adali, Lirong Xia:
Mechanism Design for Multi-Type Housing Markets. 684-690 - Sunil Simon, Dominik Wojtczak:
Constrained Pure Nash Equilibria in Polymatrix Games. 691-697 - Oskar Skibski, Tomasz P. Michalak, Talal Rahwan:
Axiomatic Characterization of Game-Theoretic Network Centralities. 698-705 - Piotr Krzysztof Skowron, Edith Elkind:
Social Choice Under Metric Preferences: Scoring Rules and STV. 706-712 - Pingzhong Tang, Yulong Zeng, Song Zuo:
Fans Economy and All-Pay Auctions with Proportional Allocations. 713-719 - David R. M. Thompson, Neil Newman, Kevin Leyton-Brown:
The Positronic Economist: A Computational System for Analyzing Economic Mechanisms. 720-727 - Sinong Wang, Fang Liu, Ness B. Shroff:
Non-Additive Security Games. 728-735 - Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak, Nicholas R. Jennings:
The Dollar Auction with Spiteful Players. 736-742 - Jens Witkowski, Pavel Atanasov, Lyle H. Ungar, Andreas Krause:
Proper Proxy Scoring Rules. 743-749 - Jia Zhang, Weidong Ma, Tao Qin, Xiaoming Sun, Tie-Yan Liu:
Randomized Mechanisms for Selling Reserved Instances in Cloud Computing. 750-757
Heuristic Search and Optimization
- Abdullah Al-Dujaili, Suresh Sundaram:
Embedded Bandits for Large-Scale Black-Box Optimization. 758-764 - Carlos Ansótegui, Josep Pon, Meinolf Sellmann, Kevin Tierney:
Reactive Dialectic Search Portfolios for MaxSAT. 765-772 - Andre Biedenkapp, Marius Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger H. Hoos:
Efficient Parameter Importance Analysis via Ablation with Surrogates. 773-779 - Eldan Cohen, J. Christopher Beck:
Problem Difficulty and the Phase Transition in Heuristic Search. 780-786 - Toby O. Davies, Graeme Gange, Peter J. Stuckey:
Automatic Logic-Based Benders Decomposition with MiniZinc. 787-793 - Cong Fang, Zhouchen Lin:
Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization. 794-800 - Tobias Friedrich, Timo Kötzing, Markus Wagner:
A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search. 801-807 - Stefan Funke, André Nusser, Sabine Storandt:
The Simultaneous Maze Solving Problem. 808-814 - Robert Ganian, Sebastian Ordyniak, M. S. Ramanujan:
Going Beyond Primal Treewidth for (M)ILP. 815-821 - Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine Annette Shoemaker:
Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates. 822-829 - Hua Jiang, Chu-Min Li, Felip Manyà:
An Exact Algorithm for the Maximum Weight Clique Problem in Large Graphs. 830-838 - Yuu Jinnai, Alex S. Fukunaga:
Learning to Prune Dominated Action Sequences in Online Black-Box Planning. 839-845 - Maximilian Katzmann, Christian Komusiewicz:
Systematic Exploration of Larger Local Search Neighborhoods for the Minimum Vertex Cover Problem. 846-852 - Clément Lecat, Corinne Lucet, Chu-Min Li:
New Lower Bound for the Minimum Sum Coloring Problem. 853-859 - Qi Lou, Rina Dechter, Alexander Ihler:
Anytime Anyspace AND/OR Search for Bounding the Partition Function. 860-867 - Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata:
Dancing with Decision Diagrams: A Combined Approach to Exact Cover. 868-874 - Hong Qian, Yang Yu:
Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions. 875-881 - Mohammad Raza, Sumit Gulwani:
Automated Data Extraction Using Predictive Program Synthesis. 882-890 - Nicolas Rivera, Carlos Hernández, Jorge A. Baier:
Grid Pathfinding on the 2k Neighborhoods. 891-897 - Tasuku Soma, Yuichi Yoshida:
Non-Monotone DR-Submodular Function Maximization. 898-904 - Tasuku Soma, Yuichi Yoshida:
Regret Ratio Minimization in Multi-Objective Submodular Function Maximization. 905-911 - Nathan R. Sturtevant, Ariel Felner, Malte Helmert:
Value Compression of Pattern Databases. 912-918 - Mingyu Xiao, Weibo Lin, Yuanshun Dai, Yifeng Zeng:
A Fast Algorithm to Compute Maximum k-Plexes in Social Network Analysis. 919-925 - Chen Xu, Zhouchen Lin, Hongbin Zha:
A Unified Convex Surrogate for the Schatten-p Norm. 926-932 - Jie Zhang, Lijun Zhang:
Efficient Stochastic Optimization for Low-Rank Distance Metric Learning. 933-940
Human-Aware Artificial Intelligence
- Taleb Alashkar, Songyao Jiang, Shuyang Wang, Yun Fu:
Examples-Rules Guided Deep Neural Network for Makeup Recommendation. 941-947 - Tuka Waddah AlHanai, Mohammad Mahdi Ghassemi:
Predicting Latent Narrative Mood Using Audio and Physiologic Data. 948-954 - Joseph Kim, Christopher J. Banks, Julie A. Shah:
Collaborative Planning with Encoding of Users' High-Level Strategies. 955-962
Human Computation and Crowd Sourcing
- Ethan Fast, Eric Horvitz:
Long-Term Trends in the Public Perception of Artificial Intelligence. 963-969 - Arya Mazumdar, Barna Saha:
A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution. 970-976 - Takeru Sunahase, Yukino Baba, Hisashi Kashima:
Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process. 977-984
Humans and Artificial Intelligence
- Shani Alkoby, David Sarne:
The Benefit in Free Information Disclosure When Selling Information to People. 985-992 - Moshe Bitan, Galit Nahari, Zvi Nisin, Ariel Roth, Sarit Kraus:
Psychologically Based Virtual-Suspect for Interrogative Interview Training. 993-1000 - Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park:
PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering. 1001-1009 - Igor Labutov, Christoph Studer:
JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading. 1010-1016 - Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann:
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. 1017-1025 - Shan Wu, Shangfei Wang, Qiang Ji:
Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia Data. 1026-1033
Knowledge Representation and Reasoning
- Giovanni Amendola, Carmine Dodaro, Wolfgang Faber, Nicola Leone, Francesco Ricca:
On the Computation of Paracoherent Answer Sets. 1034-1040 - Vernon Asuncion, Yan Zhang, Heng Zhang:
Polynomially Bounded Logic Programs with Function Symbols: A New Decidable. 1041-1047 - Bita Banihashemi, Giuseppe De Giacomo, Yves Lespérance:
Abstraction in Situation Calculus Action Theories. 1048-1055 - Michael Benedikt, Bernardo Cuenca Grau, Egor V. Kostylev:
Source Information Disclosure in Ontology-Based Data Integration. 1056-1062 - Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Ontology-Mediated Queries for Probabilistic Databases. 1063-1069 - Sebastian Brandt, Elem Güzel Kalayci, Roman Kontchakov, Vladislav Ryzhikov, Guohui Xiao, Michael Zakharyaschev:
Ontology-Based Data Access with a Horn Fragment of Metric Temporal Logic. 1070-1076 - Gerhard Brewka, Martin Diller, Georg Heissenberger, Thomas Linsbichler, Stefan Woltran:
Solving Advanced Argumentation Problems with Answer-Set Programming. 1077-1083 - Quentin Cohen-Solal, Maroua Bouzid, Alexandre Niveau:
Checking the Consistency of Combined Qualitative Constraint Networks. 1084-1090 - Riccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali, Sergio Tessaris:
Add Data into Business Process Verification: Bridging the Gap between Theory and Practice. 1091-1099 - Jianfeng Du, Hai Wan, Huaguan Ma:
Practical TBox Abduction Based on Justification Patterns. 1100-1106 - Nausheen Fatma, Manoj Kumar Chinnakotla, Manish Shrivastava:
The Unusual Suspects: Deep Learning Based Mining of Interesting Entity Trivia from Knowledge Graphs. 1107-1113 - Birte Glimm, Yevgeny Kazakov, Trung-Kien Tran:
Ontology Materialization by Abstraction Refinement in Horn SHOIF. 1114-1120 - Víctor Gutiérrez-Basulto, Yazmín Angélica Ibáñez-García, Jean Christoph Jung:
Number Restrictions on Transitive Roles in Description Logics with Nominals. 1121-1127 - Emmanuel Hadoux, Anthony Hunter:
Strategic Sequences of Arguments for Persuasion Using Decision Trees. 1128-1134 - Matthew Harrison-Trainor, Wesley H. Holliday, Thomas F. Icard III:
Preferential Structures for Comparative Probabilistic Reasoning. 1135-1141 - André Hernich, Julio Lemos, Frank Wolter:
Query Answering in DL-Lite with Datatypes: A Non-Uniform Approach. 1142-1148 - Hassan Ibrahim, Philippe Dague, Alban Grastien, Lina Ye, Laurent Simon:
Diagnosability Planning for Controllable Discrete Event Systems. 1149-1155 - Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi:
Entropic Causal Inference. 1156-1162 - Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis:
SAT Encodings for Distance-Based Belief Merging Operators. 1163-1169 - Joohyung Lee, Zhun Yang:
LPMLN, Weak Constraints, and P-log. 1170-1177 - Jiaqing Liang, Yanghua Xiao, Yi Zhang, Seung-won Hwang, Haixun Wang:
Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy. 1178-1184 - Jiaqing Liang, Yi Zhang, Yanghua Xiao, Haixun Wang, Wei Wang, Pinpin Zhu:
On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies. 1185-1191 - Hengyang Lu, Lu-Yao Xie, Ning Kang, Chong-Jun Wang, Jun-Yuan Xie:
Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery. 1192-1198 - Martin Mladenov, Vaishak Belle, Kristian Kersting:
The Symbolic Interior Point Method. 1199-1205 - Nadeschda Nikitina, Patrick Koopmann:
Small Is Beautiful: Computing Minimal Equivalent EL Concepts. 1206-1212 - Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata:
Compiling Graph Substructures into Sentential Decision Diagrams. 1213-1221 - Christoph Redl:
Efficient Evaluation of Answer Set Programs with External Sources Based on External Source Inlining. 1222-1228 - Christoph Redl:
On Equivalence and Inconsistency of Answer Set Programs with External Sources. 1229-1235 - Baoxu Shi, Tim Weninger:
ProjE: Embedding Projection for Knowledge Graph Completion. 1236-1242 - Yi Tay, Anh Tuan Luu, Siu Cheung Hui:
Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs. 1243-1249 - Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan:
Causal Discovery Using Regression-Based Conditional Independence Tests. 1250-1256 - Mengxue Zhang, Tushar Mathew, Brendan A. Juba:
An Improved Algorithm for Learning to Perform Exception-Tolerant Abduction. 1257-1265 - Dmitriy Zheleznyakov, Evgeny Kharlamov, Ian Horrocks:
Trust-Sensitive Evolution of DL-Lite Knowledge Bases. 1266-1273
Machine Learning Applications
- Scott Alfeld, Xiaojin Zhu, Paul Barford:
Explicit Defense Actions Against Test-Set Attacks. 1274-1280 - Song Bai, Xiang Bai, Longin Jan Latecki, Qi Tian:
Multidimensional Scaling on Multiple Input Distance Matrices. 1281-1287 - Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava:
ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets. 1288-1294 - Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu:
GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering. 1295-1301 - Tom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis:
Predicting Soccer Highlights from Spatio-Temporal Match Event Streams. 1302-1308 - Xin Dong, Lei Yu, Zhonghuo Wu, Yuxia Sun, Lingfeng Yuan, Fangxi Zhang:
A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems. 1309-1315 - Li Gao, Jia Wu, Chuan Zhou, Yue Hu:
Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation. 1316-1322 - Lianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, Heng Tao Shen:
Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton. 1323-1330 - Xin Geng, Miaogen Ling:
Soft Video Parsing by Label Distribution Learning. 1331-1337 - Yuchen Guo, Guiguang Ding, Yue Gao, Jungong Han:
Active Learning with Cross-Class Similarity Transfer. 1338-1344 - Rahul Gupta, Soham Pal, Aditya Kanade, Shirish K. Shevade:
DeepFix: Fixing Common C Language Errors by Deep Learning. 1345-1351 - Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu:
Question Difficulty Prediction for READING Problems in Standard Tests. 1352-1359 - Wendi Ji, Xiaoling Wang:
Additional Multi-Touch Attribution for Online Advertising. 1360-1366 - Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang:
Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction. 1367-1373 - Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen:
Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification. 1374-1381 - Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay P. Namboodiri, Mohit Bansal:
Contextual RNN-GANs for Abstract Reasoning Diagram Generation. 1382-1388 - Chia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson:
A Framework for Minimal Clustering Modification via Constraint Programming. 1389-1395 - Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein:
Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem. 1396-1402 - Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha:
ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems. 1403-1409 - Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang:
Learning with Feature Network and Label Network Simultaneously. 1410-1416 - Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong:
Collaborative Company Profiling: Insights from an Employee's Perspective. 1417-1423 - Shaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang:
ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy. 1424-1430 - Feng Liu, Shouyi Wang, Jay M. Rosenberger, Jianzhong Su, Hanli Liu:
A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping. 1431-1437 - Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu:
On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. 1438-1444 - Yu Liu, Jianlong Fu, Tao Mei, Chang Wen Chen:
Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural Networks. 1445-1452 - Anton Milan, Seyed Hamid Rezatofighi, Ravi Garg, Anthony R. Dick, Ian D. Reid:
Data-Driven Approximations to NP-Hard Problems. 1453-1459 - Omar Montasser, Daniel Kifer:
Predicting Demographics of High-Resolution Geographies with Geotagged Tweets. 1460-1466 - Arun Reddy Nelakurthi, Jingrui He:
Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization. 1467-1473 - Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen:
FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation. 1474-1480 - Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka:
Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU. 1481-1487 - Siamak Ravanbakhsh, François Lanusse, Rachel Mandelbaum, Jeff G. Schneider, Barnabás Póczos:
Enabling Dark Energy Science with Deep Generative Models of Galaxy Images. 1488-1494 - Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha:
Unsupervised Deep Learning for Optical Flow Estimation. 1495-1501 - Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie, Darius Braziunas:
Low-Rank Linear Cold-Start Recommendation from Social Data. 1502-1508 - Wenling Shang, Justin Chiu, Kihyuk Sohn:
Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units. 1509-1516 - Weiwei Shen, Jun Wang:
Portfolio Selection via Subset Resampling. 1517-1523 - Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen:
Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. 1524-1531 - Masamichi Shimosaka, Junichi Sato, Kazuhito Takenaka, Kentarou Hitomi:
Fast Inverse Reinforcement Learning with Interval Consistent Graph for Driving Behavior Prediction. 1532-1538 - Chengxun Shu, Hongyu Zhang:
Neural Programming by Example. 1539-1545 - Zhiqiang Tao, Hongfu Liu, Yun Fu:
Simultaneous Clustering and Ensemble. 1546-1552 - Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor:
A Deep Hierarchical Approach to Lifelong Learning in Minecraft. 1553-1561 - Tian Tian, Ning Chen, Jun Zhu:
Learning Attributes from the Crowdsourced Relative Labels. 1562-1568 - Jingyuan Wang, Yating Lin, Junjie Wu, Zhong Wang, Zhang Xiong:
Coupling Implicit and Explicit Knowledge for Customer Volume Prediction. 1569-1575 - Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao:
Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation. 1576-1582 - Fei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo, Jing-Yu Yang:
Multiset Feature Learning for Highly Imbalanced Data Classification. 1583-1589 - Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang:
Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation. 1590-1596 - Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu:
Modeling the Intensity Function of Point Process Via Recurrent Neural Networks. 1597-1603 - Jie Xu, Yuli Han, Daniel Marcu, Mihaela van der Schaar:
Progressive Prediction of Student Performance in College Programs. 1604-1610 - Linli Xu, Chao Zhang:
Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments. 1611-1617 - Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao:
Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval. 1618-1625 - Meng Yang, Lin Chen:
Discriminative Semi-Supervised Dictionary Learning with Entropy Regularization for Pattern Classification. 1626-1632 - Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng:
Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images. 1633-1639 - Haiyan Yin, Sinno Jialin Pan:
Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay. 1640-1646 - Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar:
Personalized Donor-Recipient Matching for Organ Transplantation. 1647-1654 - Junbo Zhang, Yu Zheng, Dekang Qi:
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction. 1655-1661 - Lefei Zhang, Qian Zhang, Bo Du, Dacheng Tao, Jane You:
Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction. 1662-1668 - Yan Zhang, Defu Lian, Guowu Yang:
Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback. 1669-1675 - Kai Zhu, Zhen Chen, Lei Ying:
Catch'Em All: Locating Multiple Diffusion Sources in Networks with Partial Observations. 1676-1683
Machine Learning Methods
- Tameem Adel, Cassio P. de Campos:
Learning Bayesian Networks with Incomplete Data by Augmentation. 1684-1690 - Tameem Adel, Han Zhao, Alexander Wong:
Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption. 1691-1697 - Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain:
Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning. 1698-1704 - Francesco Aldà, Benjamin I. P. Rubinstein:
The Bernstein Mechanism: Function Release under Differential Privacy. 1705-1711 - Joseph Anderson, Navin Goyal, Anupama Nandi, Luis Rademacher:
Heavy-Tailed Analogues of the Covariance Matrix for ICA. 1712-1718 - Shuang Ao, Xiang Li, Charles X. Ling:
Fast Generalized Distillation for Semi-Supervised Domain Adaptation. 1719-1725 - Pierre-Luc Bacon, Jean Harb, Doina Precup:
The Option-Critic Architecture. 1726-1734 - Maria-Florina Balcan, Travis Dick, Yishay Mansour:
Label Efficient Learning by Exploiting Multi-Class Output Codes. 1735-1741 - Stephen Becker, Ban Kawas, Marek Petrik:
Robust Partially-Compressed Least-Squares. 1742-1748 - Sebastian Berndt, Maciej Liskiewicz, Matthias Lutter, Rüdiger Reischuk:
Learning Residual Alternating Automata. 1749-1755 - Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama:
Resource Constrained Structured Prediction. 1756-1762 - Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang:
Cross-Domain Kernel Induction for Transfer Learning. 1763-1769 - Yale Chang, Jennifer G. Dy:
Informative Subspace Learning for Counterfactual Inference. 1770-1776 - Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan:
PAC Identification of a Bandit Arm Relative to a Reward Quantile. 1777-1783 - Morteza Haghir Chehreghani:
Classification with Minimax Distance Measures. 1784-1790 - Gang Chen:
Latent Discriminant Analysis with Representative Feature Discovery. 1791-1797 - Lin Chen, Seyed Hamed Hassani, Amin Karbasi:
Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting. 1798-1804 - Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen:
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. 1805-1811 - Zihao Chen, Luo Luo, Zhihua Zhang:
Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features. 1812-1818 - Kamil Andrzej Ciosek, Shimon Whiteson:
OFFER: Off-Environment Reinforcement Learning. 1819-1825 - Zachary Alan Daniels, Dimitris N. Metaxas:
Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests. 1826-1832 - Sakyasingha Dasgupta, Takayuki Osogami:
Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction. 1833-1839 - Carlo D'Eramo, Alessandro Nuara, Matteo Pirotta, Marcello Restelli:
Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems. 1840-1846 - Salam El Bsat, Haitham Bou-Ammar, Matthew E. Taylor:
Scalable Multitask Policy Gradient Reinforcement Learning. 1847-1853 - Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach. 1854-1860 - Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart Russell:
A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models. 1861-1869 - Mingyu Fan, Xiaojun Chang, Dacheng Tao:
Structure Regularized Unsupervised Discriminant Feature Analysis. 1870-1876 - Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu:
Self-Paced Learning: An Implicit Regularization Perspective. 1877-1883 - Ji Feng, Zhi-Hua Zhou:
Deep MIML Network. 1884-1890 - Kyle D. Feuz, Diane J. Cook:
Modeling Skewed Class Distributions by Reshaping the Concept Space. 1891-1897 - Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak:
On Learning High Dimensional Structured Single Index Models. 1898-1904 - Hongchang Gao, Feiping Nie, Heng Huang:
Local Centroids Structured Non-Negative Matrix Factorization. 1905-1911 - Mike Gartrell, Ulrich Paquet, Noam Koenigstein:
Low-Rank Factorization of Determinantal Point Processes. 1912-1918 - Aritra Ghosh, Himanshu Kumar, P. S. Sastry:
Robust Loss Functions under Label Noise for Deep Neural Networks. 1919-1925 - Chen Gong:
Exploring Commonality and Individuality for Multi-Modal Curriculum Learning. 1926-1933 - Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. 1934-1940 - Aditya Gopalan, Prashanth L. A., Michael C. Fu, Steven I. Marcus:
Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected. 1941-1947 - Xiawei Guo, Quanming Yao, James Tin-Yau Kwok:
Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm. 1948-1954 - Yuhong Guo:
Convex Co-Embedding for Matrix Completion with Predictive Side Information. 1955-1961 - Chao Han, Mohamed F. Ghalwash, Zoran Obradovic:
Continuous Conditional Dependency Network for Structured Regression. 1962-1968 - Junwei Han, Kun Song, Feiping Nie, Xuelong Li:
Bilateral k-Means Algorithm for Fast Co-Clustering. 1969-1975 - Tian Han, Yang Lu, Song-Chun Zhu, Ying Nian Wu:
Alternating Back-Propagation for Generator Network. 1976-1984 - Satoshi Hara, Takanori Maehara:
Enumerate Lasso Solutions for Feature Selection. 1985-1991 - Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi:
Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling. 1992-1999 - Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan:
Learning Invariant Deep Representation for NIR-VIS Face Recognition. 2000-2006 - Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low:
A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression. 2007-2014 - Peng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv:
Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation. 2015-2021 - Brian Hrolenok, Byron Boots, Tucker Hybinette Balch:
Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent Systems. 2022-2028 - Yi-Qi Hu, Hong Qian, Yang Yu:
Sequential Classification-Based Optimization for Direct Policy Search. 2029-2035 - Zhiwu Huang, Luc Van Gool:
A Riemannian Network for SPD Matrix Learning. 2036-2042 - Zhouyuan Huo, Heng Huang:
Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization. 2043-2049 - Stephanie L. Hyland, Gunnar Rätsch:
Learning Unitary Operators with Help From u(n). 2050-2058 - Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio:
Denoising Criterion for Variational Auto-Encoding Framework. 2059-2065 - Shantanu Jain, Martha White, Predrag Radivojac:
Recovering True Classifier Performance in Positive-Unlabeled Learning. 2066-2072 - Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu:
Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning. 2073-2079 - Zhao Kang, Chong Peng, Qiang Cheng:
Twin Learning for Similarity and Clustering: A Unified Kernel Approach. 2080-2086 - Gil Keren, Sivan Sabato, Björn W. Schuller:
Tunable Sensitivity to Large Errors in Neural Network Training. 2087-2093 - Saehoon Kim, Seungjin Choi:
Binary Embedding with Additive Homogeneous Kernels. 2094-2100 - Rahul G. Krishnan, Uri Shalit, David A. Sontag:
Structured Inference Networks for Nonlinear State Space Models. 2101-2109 - Volodymyr Kuleshov, Stefano Ermon:
Estimating Uncertainty Online Against an Adversary. 2110-2116 - Atsutoshi Kumagai, Tomoharu Iwata:
Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance. 2117-2123 - Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz:
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration. 2124-2132 - Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran:
Dynamic Action Repetition for Deep Reinforcement Learning. 2133-2139 - Guillaume Lample, Devendra Singh Chaplot:
Playing FPS Games with Deep Reinforcement Learning. 2140-2146 - Romain Laroche, Merwan Barlier:
Transfer Reinforcement Learning with Shared Dynamics. 2147-2153 - Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon:
Transfer Learning for Deep Learning on Graph-Structured Data. 2154-2160 - Zhixian Lei, Xuehan Ye, Yongcai Wang, Deying Li, Jia Xu:
Efficient Online Model Adaptation by Incremental Simplex Tableau. 2161-2167 - Rémi Lemonnier, Kevin Scaman, Argyris Kalogeratos:
Multivariate Hawkes Processes for Large-Scale Inference. 2168-2174 - Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha:
Self-Paced Multi-Task Learning. 2175-2181 - Haifang Li, Yingce Xia:
Infinitely Many-Armed Bandits with Budget Constraints. 2182-2188 - Jun Li, Yu Kong, Yun Fu:
Sparse Subspace Clustering by Learning Approximation ℓ0 Codes. 2189-2195 - Qian Li, Zhichao Wang:
Riemannian Submanifold Tracking on Low-Rank Algebraic Variety. 2196-2202 - Xuelong Li, Di Hu, Feiping Nie:
Large Graph Hashing with Spectral Rotation. 2203-2209 - Xutao Li, Yunming Ye, Xiaofei Xu:
Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting. 2210-2216 - Yufeng Li, Han-Wen Zha, Zhi-Hua Zhou:
Learning Safe Prediction for Semi-Supervised Regression. 2217-2223 - Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin:
A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis. 2224-2230 - Hanyang Liu, Junwei Han, Feiping Nie, Xuelong Li:
Balanced Clustering with Least Square Regression. 2231-2237 - Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang:
Ordinal Constrained Binary Code Learning for Nearest Neighbor Search. 2238-2244 - Jiaming Liu, Yali Wang, Yu Qiao:
Sparse Deep Transfer Learning for Convolutional Neural Network. 2245-2251 - Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao:
Cost-Sensitive Feature Selection via F-Measure Optimization Reduction. 2252-2258 - Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu:
Multiple Kernel k-Means with Incomplete Kernels. 2259-2265 - Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin:
Optimal Neighborhood Kernel Clustering with Multiple Kernels. 2266-2272 - Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang:
Generalization Analysis for Ranking Using Integral Operator. 2273-2279 - Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang:
Infinite Kernel Learning: Generalization Bounds and Algorithms. 2280-2286 - Yuanyuan Liu, Fanhua Shang, James Cheng:
Accelerated Variance Reduced Stochastic ADMM. 2287-2293 - Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang:
Semi-Supervised Classifications via Elastic and Robust Embedding. 2294-2300 - Zhuanghua Liu, Ivor W. Tsang:
Approximate Conditional Gradient Descent on Multi-Class Classification. 2301-2307 - Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling. 2308-2314 - Yifei Ma, Roman Garnett, Jeff G. Schneider:
Active Search for Sparse Signals with Region Sensing. 2315-2321 - Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popovic:
Where to Add Actions in Human-in-the-Loop Reinforcement Learning. 2322-2328 - Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. 2329-2335 - Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Generalization Error Bounds for Optimization Algorithms via Stability. 2336-2342 - Hrushikesh N. Mhaskar, Qianli Liao, Tomaso A. Poggio:
When and Why Are Deep Networks Better Than Shallow Ones? 2343-2349 - Martin Mladenov, Leonard Kleinhans, Kristian Kersting:
Lifted Inference for Convex Quadratic Programs. 2350-2356 - Alejandro Molina, Sriraam Natarajan, Kristian Kersting:
Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions. 2357-2363 - John Moore, Jennifer Neville:
Deep Collective Inference. 2364-2372 - Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou:
Streaming Classification with Emerging New Class by Class Matrix Sketching. 2373-2379 - Yadong Mu, Zhu Liu:
Deep Hashing: A Joint Approach for Image Signature Learning. 2380-2386 - Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen:
Tsallis Regularized Optimal Transport and Ecological Inference. 2387-2393 - Alexandre K. W. Navarro, Jes Frellsen, Richard E. Turner:
The Multivariate Generalised von Mises Distribution: Inference and Applications. 2394-2400 - Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson:
Querying Partially Labelled Data to Improve a K-nn Classifier. 2401-2407 - Feiping Nie, Guohao Cai, Xuelong Li:
Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours. 2408-2414 - Feiping Nie, Xiaoqian Wang, Heng Huang:
Multiclass Capped ℓp-Norm SVM for Robust Classifications. 2415-2421 - Feiping Nie, Wei Zhu, Xuelong Li:
Unsupervised Large Graph Embedding. 2422-2428 - Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis:
Matching Node Embeddings for Graph Similarity. 2429-2435 - U. N. Niranjan, Arun Rajkumar:
Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier. 2436-2442 - Dino Oglic, Roman Garnett, Thomas Gärtner:
Active Search in Intensionally Specified Structured Spaces. 2443-2449 - Sechan Oh:
Top-k Hierarchical Classification. 2450-2456 - Stefano Paladino, Francesco Trovò, Marcello Restelli, Nicola Gatti:
Unimodal Thompson Sampling for Graph-Structured Arms. 2457-2463 - Yangchen Pan, Adam White, Martha White:
Accelerated Gradient Temporal Difference Learning. 2464-2470 - Hanyang Peng, Yong Fan:
A General Framework for Sparsity Regularized Feature Selection via Iteratively Reweighted Least Square Minimization. 2471-2477 - Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi:
Cascade Subspace Clustering. 2478-2484 - Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Column Networks for Collective Classification. 2485-2491 - Reihaneh Rabbany, Osmar R. Zaïane:
A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters. 2492-2498 - Piyush Rai:
Non-Negative Inductive Matrix Completion for Discrete Dyadic Data. 2499-2505 - Carlos Riquelme, Ramesh Johari, Baosen Zhang:
Online Active Linear Regression via Thresholding. 2506-2512 - Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma:
Adaptive Proximal Average Approximation for Composite Convex Minimization. 2513-2519 - Weiwei Shen, Zhihui Yang, Jun Wang:
Random Features for Shift-Invariant Kernels with Moment Matching. 2520-2526 - Xiao-Bo Shen, Weiwei Liu, Ivor W. Tsang, Fumin Shen, Quan-Sen Sun:
Compressed K-Means for Large-Scale Clustering. 2527-2533 - Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao:
Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks. 2534-2540 - Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang:
Asymmetric Discrete Graph Hashing. 2541-2547 - Jeong Woo Son, Junkey Jeon, Alex Lee, Sun-Joong Kim:
Spectral Clustering with Brainstorming Process for Multi-View Data. 2548-2554 - Kun Song, Feiping Nie, Junwei Han, Xuelong Li:
Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning. 2555-2561 - Xiaonan Song, Haiping Lu:
Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis. 2562-2568 - Stergios Stergiou, Zygimantas Straznickas, Rolina Wu, Kostas Tsioutsiouliklis:
Distributed Negative Sampling for Word Embeddings. 2569-2575 - Russell Stewart, Stefano Ermon:
Label-Free Supervision of Neural Networks with Physics and Domain Knowledge. 2576-2582 - Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin:
Unsupervised Learning with Truncated Gaussian Graphical Models. 2583-2589 - Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone:
Automatic Curriculum Graph Generation for Reinforcement Learning Agents. 2590-2596 - Erik Talvitie:
Self-Correcting Models for Model-Based Reinforcement Learning. 2597-2603 - Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang:
Distant Domain Transfer Learning. 2604-2610 - Cai-Zhi Tang, Min-Ling Zhang:
Confidence-Rated Discriminative Partial Label Learning. 2611-2617 - Jie Tang, Wendy Hall:
Cross-Domain Ranking via Latent Space Learning. 2618-2624 - Wei Tang, Gang Hua, Liang Wang:
How to Train a Compact Binary Neural Network with High Accuracy? 2625-2631 - Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama:
Policy Search with High-Dimensional Context Variables. 2632-2638 - Stefano Teso, Paolo Dragone, Andrea Passerini:
Coactive Critiquing: Elicitation of Preferences and Features. 2639-2645 - Philip S. Thomas, Emma Brunskill:
Importance Sampling with Unequal Support. 2646-2652 - Aristide Charles Yedia Tossou, Christos Dimitrakakis:
Achieving Privacy in the Adversarial Multi-Armed Bandit. 2653-2659 - Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi:
Thompson Sampling for Stochastic Bandits with Graph Feedback. 2660-2666 - Sebastian Tschiatschek, Adish Singla, Andreas Krause:
Selecting Sequences of Items via Submodular Maximization. 2667-2673 - Christiaan Maarten van der Walt, Etienne Barnard:
Variable Kernel Density Estimation in High-Dimensional Feature Spaces. 2674-2680 - Baiyang Wang, Diego Klabjan:
Regularization for Unsupervised Deep Neural Nets. 2681-2687 - Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Relational Deep Learning: A Deep Latent Variable Model for Link Prediction. 2688-2694 - Huazheng Wang, Qingyun Wu, Hongning Wang:
Factorization Bandits for Interactive Recommendation. 2695-2702 - Li Wang, Qi Mao, Ivor W. Tsang:
Latent Smooth Skeleton Embedding. 2703-2709 - Po-Wei Wang, Chun-Liang Li, J. Zico Kolter:
Polynomial Optimization Methods for Matrix Factorization. 2710-2717 - Qianqian Wang, Quanxue Gao:
Two-Dimensional PCA with F-Norm Minimization. 2718-2724 - Shuyang Wang, Zhengming Ding, Yun Fu:
Feature Selection Guided Auto-Encoder. 2725-2731 - Wei Wang, Hao Wang, Chen Zhang, Yang Gao:
Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation. 2732-2738 - Yi Wang, Xin Fan, Zhongxuan Luo, Tianzhu Wang, Maomao Min, Jiebo Luo:
Fast Online Incremental Learning on Mixture Streaming Data. 2739-2745 - Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang:
Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation. 2746-2753 - Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia:
Unbiased Multivariate Correlation Analysis. 2754-2760 - Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Beyond RPCA: Flattening Complex Noise in the Frequency Domain. 2761-2767 - Zeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen, Rui Zhang:
Improving Efficiency of SVM k-Fold Cross-Validation by Alpha Seeding. 2768-2774 - Ying Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu:
Rank Ordering Constraints Elimination with Application for Kernel Learning. 2775-2781 - Haiming Xu, Hui Xue, Xiaohong Chen, Yunyun Wang:
Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming. 2782-2788 - Ke Xu, Tongyi Cao, Swair Shah, Crystal Maung, Haim Schweitzer:
Cleaning the Null Space: A Privacy Mechanism for Predictors. 2789-2795 - Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang:
Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee. 2796-2802 - Zheng Xu, Junzhou Huang:
A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning. 2803-2809 - Xiaowei Xue, Feiping Nie, Sen Wang, Xiaojun Chang, Bela Stantic, Min Yao:
Multi-View Correlated Feature Learning by Uncovering Shared Component. 2810-2816 - Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen:
A Framework of Online Learning with Imbalanced Streaming Data. 2817-2823 - Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang:
TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. 2824-2830 - Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou:
Deep Learning for Fixed Model Reuse. 2831-2837 - Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang:
Learning Deep Latent Space for Multi-Label Classification. 2838-2844 - Hsiang-Fu Yu, Hsin-Yuan Huang, Inderjit S. Dhillon, Chih-Jen Lin:
A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information. 2845-2851 - Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu:
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. 2852-2858 - Xiaotian Yu, Michael R. Lyu, Irwin King:
CBRAP: Contextual Bandits with RAndom Projection. 2859-2866 - Ganzhao Yuan, Bernard Ghanem:
An Exact Penalty Method for Binary Optimization Based on MPEC Formulation. 2867-2875 - Sepehr Abbasi Zadeh, Mehrdad Ghadiri, Vahab S. Mirrokni, Morteza Zadimoghaddam:
Scalable Feature Selection via Distributed Diversity Maximization. 2876-2883 - Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu:
Fast Compressive Phase Retrieval under Bounded Noise. 2884-2890 - Jiakai Zhang, Kyunghyun Cho:
Query-Efficient Imitation Learning for End-to-End Simulated Driving. 2891-2897 - Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning. 2898-2906 - Xiang Zhang, Yann LeCun:
Universum Prescription: Regularization Using Unlabeled Data. 2907-2913 - Yu Zhang, Qiang Yang:
Learning Sparse Task Relations in Multi-Task Learning. 2914-2920 - Handong Zhao, Zhengming Ding, Yun Fu:
Multi-View Clustering via Deep Matrix Factorization. 2921-2927 - Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li:
SCOPE: Scalable Composite Optimization for Learning on Spark. 2928-2934 - Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li:
Lock-Free Optimization for Non-Convex Problems. 2935-2941 - Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao:
Scalable Graph Embedding for Asymmetric Proximity. 2942-2948 - Yang Zhou, Haiping Lu, Yiu-ming Cheung:
Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations. 2949-2955 - Yuxun Zhou, Zhaoyi Kang, Costas J. Spanos:
Parametric Dual Maximization for Non-Convex Learning Problems. 2956-2962 - Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu:
One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace. 2963-2969 - Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Di Wu, Li Cheng, Sen Li, Ruimin Hu:
Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification. 2970-2976 - Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou:
Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning. 2977-2984
Multiagent Systems
- Rashi Aswani, Sai Krishna Munnangi, Praveen Paruchuri:
Improving Surveillance Using Cooperative Target Observation. 2985-2991 - Palash Dey:
Query Complexity of Tournament Solutions. 2992-2998 - The Anh Han, Luís Moniz Pereira, Luis A. Martinez-Vaquero, Tom Lenaerts:
Centralized versus Personalized Commitments and Their Influence on Cooperation in Group Interactions. 2999-3005 - Özgür Kafali, Nirav Ajmeri, Munindar P. Singh:
Kont: Computing Tradeoffs in Normative Multiagent Systems. 3006-3012 - Panagiotis Kouvaros, Alessio Lomuscio:
Parameterised Verification of Infinite State Multi-Agent Systems via Predicate Abstraction. 3013-3020 - Rajiv Ranjan Kumar, Pradeep Varakantham, Akshat Kumar:
Decentralized Planning in Stochastic Environments with Submodular Rewards. 3021-3028 - Marc Neveling, Jörg Rothe:
Solving Seven Open Problems of Offline and Online Control in Borda Elections. 3029-3035 - Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
Collective Multiagent Sequential Decision Making Under Uncertainty. 3036-3043 - Igor Rochlin, David Sarne, Maytal Bremer, Ben Grynhaus:
Nurturing Group-Beneficial Information-Gathering Behaviors Through Above-Threshold Criteria Setting. 3044-3052
Natural Language Processing and Knowledge Representation
- Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei:
Improving Multi-Document Summarization via Text Classification. 3053-3059 - Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao:
Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions. 3060-3066 - Bofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du:
Neural Bag-of-Ngrams. 3067-3074 - Ramesh Nallapati, Feifei Zhai, Bowen Zhou:
SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents. 3075-3081 - Subhro Roy, Dan Roth:
Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving. 3082-3088 - Saku Sugawara, Hikaru Yokono, Akiko Aizawa:
Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems. 3089-3096 - Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li:
Neural Machine Translation with Reconstruction. 3097-3103 - Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu:
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions. 3104-3110 - Shuo Yang, Lei Zou, Zhongyuan Wang, Jun Yan, Ji-Rong Wen:
Efficiently Answering Technical Questions - A Knowledge Graph Approach. 3111-3118 - Liang Yao, Yin Zhang, Baogang Wei, Zhe Jin, Rui Zhang, Yangyang Zhang, Qinfei Chen:
Incorporating Knowledge Graph Embeddings into Topic Modeling. 3119-3126 - Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv:
A Context-Enriched Neural Network Method for Recognizing Lexical Entailment. 3127-3134
Natural Language Processing and Machine Learning
- Oren Barkan:
Bayesian Neural Word Embedding. 3135-3143 - Shaosheng Cao, Wei Lu:
Improving Word Embeddings with Convolutional Feature Learning and Subword Information. 3144-3151 - Ziqiang Cao, Chuwei Luo, Wenjie Li, Sujian Li:
Joint Copying and Restricted Generation for Paraphrase. 3152-3158 - Snigdha Chaturvedi, Mohit Iyyer, Hal Daumé III:
Unsupervised Learning of Evolving Relationships Between Literary Characters. 3159-3165 - Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu:
Translation Prediction with Source Dependency-Based Context Representation. 3166-3172 - Yong Cheng, Yang Liu, Wei Xu:
Maximum Reconstruction Estimation for Generative Latent-Variable Models. 3173-3179 - Sujatha Das Gollapalli, Xiaoli Li, Peng Yang:
Incorporating Expert Knowledge into Keyphrase Extraction. 3180-3187 - Jacob Eisenstein:
Unsupervised Learning for Lexicon-Based Classification. 3188-3194 - Matt Gardner, Jayant Krishnamurthy:
Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge. 3195-3201 - Hongyu Gong, Suma Bhat, Pramod Viswanath:
Geometry of Compositionality. 3202-3208 - Kaveh Hassani, Won-Sook Lee:
Disambiguating Spatial Prepositions Using Deep Convolutional Networks. 3209-3215 - Hangfeng He, Xu Sun:
A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media. 3216-3222 - Shuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang:
Recurrent Attentional Topic Model. 3223-3229 - Changsheng Liu, Rebecca Hwa:
Representations of Context in Recognizing the Figurative and Literal Usages of Idioms. 3230-3236 - Chunpeng Ma, Lemao Liu, Akihiro Tamura, Tiejun Zhao, Eiichiro Sumita:
Deterministic Attention for Sequence-to-Sequence Constituent Parsing. 3237-3243 - Xianling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen:
S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions. 3244-3251 - Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
Coherent Dialogue with Attention-Based Language Models. 3252-3258 - Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey:
Definition Modeling: Learning to Define Word Embeddings in Natural Language. 3259-3266 - Hao Peng, Jianxin Li, Yangqiu Song, Yaopeng Liu:
Incrementally Learning the Hierarchical Softmax Function for Neural Language Models. 3267-3273 - Aaditya Prakash, Siyuan Zhao, Sadid A. Hasan, Vivek V. Datla, Kathy Lee, Ashequl Qadir, Joey Liu, Oladimeji Farri:
Condensed Memory Networks for Clinical Diagnostic Inferencing. 3274-3280 - Keisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme:
Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network. 3281-3287 - Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville:
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. 3288-3294 - Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio:
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. 3295-3301 - Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu:
Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation. 3302-3308 - Raymond Hendy Susanto, Wei Lu:
Semantic Parsing with Neural Hybrid Trees. 3309-3315 - Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao:
Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. 3316-3322 - Xiaolong Wang, Jingjing Wang, Chengxiang Zhai:
Dual-Clustering Maximum Entropy with Application to Classification and Word Embedding. 3323-3329 - Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang:
Neural Machine Translation Advised by Statistical Machine Translation. 3330-3336 - Huijia Wu, Jiajun Zhang, Chengqing Zong:
A Dynamic Window Neural Network for CCG Supertagging. 3337-3343 - Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary:
Distinguish Polarity in Bag-of-Words Visualization. 3344-3350 - Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma:
Topic Aware Neural Response Generation. 3351-3357 - Weidi Xu, Haoze Sun, Chao Deng, Ying Tan:
Variational Autoencoder for Semi-Supervised Text Classification. 3358-3364 - Feifei Zhai, Saloni Potdar, Bing Xiang, Bowen Zhou:
Neural Models for Sequence Chunking. 3365-3371 - Biao Zhang, Deyi Xiong, Jinsong Su:
BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings. 3372-3378 - Meng Zhang, Haoruo Peng, Yang Liu, Huan-Bo Luan, Maosong Sun:
Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision. 3379-3385 - Ye Zhang, Matthew Lease, Byron C. Wallace:
Active Discriminative Text Representation Learning. 3386-3392 - Xiaoqing Zheng, Jiangtao Feng, Yi Chen, Haoyuan Peng, Wenqing Zhang:
Learning Context-Specific Word/Character Embeddings. 3393-3399 - Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He:
Mechanism-Aware Neural Machine for Dialogue Response Generation. 3400-3407
Natural Language Processing and Text Mining
- Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen:
Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. 3408-3414 - Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman:
Using Discourse Signals for Robust Instructor Intervention Prediction. 3415-3421 - Yanju Chen, Rong Pan:
Automatic Emphatic Information Extraction from Aligned Acoustic Data and Its Application on Sentence Compression. 3422-3428 - Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu:
Unsupervised Sentiment Analysis with Signed Social Networks. 3429-3435 - Ying Ding, Jianfei Yu, Jing Jiang:
Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction. 3436-3442 - Xianpei Han, Le Sun:
Distant Supervision via Prototype-Based Global Representation Learning. 3443-3449 - Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao:
What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM. 3450-3456 - Zhanming Jie, Aldrian Obaja Muis, Wei Lu:
Efficient Dependency-Guided Named Entity Recognition. 3457-3465 - Canasai Kruengkrai, Kentaro Torisawa, Chikara Hashimoto, Julien Kloetzer, Jong-Hoon Oh, Masahiro Tanaka:
Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks. 3466-3473 - Bing Li, Xiaochun Yang, Bin Wang, Wei Cui:
Efficiently Mining High Quality Phrases from Texts. 3474-3481 - Hao Li, Wei Lu:
Learning Latent Sentiment Scopes for Entity-Level Sentiment Analysis. 3482-3489 - Nana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu:
Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings. 3490-3496 - Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing:
Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization. 3497-3503 - Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas:
Collaborative User Clustering for Short Text Streams. 3504-3510 - Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong:
Word Embedding Based Correlation Model for Question/Answer Matching. 3511-3517 - Jin-ge Yao, Xiaojun Wan:
Greedy Flipping for Constrained Word Deletion. 3518-3524 - Xiaodong Zhang, Sujian Li, Lei Sha, Houfeng Wang:
Attentive Interactive Neural Networks for Answer Selection in Community Question Answering. 3525-3531 - Zhou Zhao, Hanqing Lu, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang:
Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning. 3532-3539
Planning and Scheduling
- Meysam Aghighi, Christer Bäckström:
Plan Reordering and Parallel Execution - A Parameterized Complexity View. 3540-3546 - Alessandro Cimatti, Andrea Micheli, Marco Roveri:
Validating Domains and Plans for Temporal Planning via Encoding into Infinite-State Linear Temporal Logic. 3547-3554 - Giuseppe De Giacomo, Fabrizio Maria Maggi, Andrea Marrella, Fabio Patrizi:
On the Disruptive Effectiveness of Automated Planning for LTLf-Based Trace Alignment. 3555-3561 - Frits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs. 3562-3568 - Hugo Gilbert, Paul Weng, Yan Xu:
Optimizing Quantiles in Preference-Based Markov Decision Processes. 3569-3575 - Steven James, George Dimitri Konidaris, Benjamin Rosman:
An Analysis of Monte Carlo Tree Search. 3576-3582 - Zhuoru Li, Akshay Narayan, Tze-Yun Leong:
An Efficient Approach to Model-Based Hierarchical Reinforcement Learning. 3583-3589 - Nir Lipovetzky, Hector Geffner:
Best-First Width Search: Exploration and Exploitation in Classical Planning. 3590-3596 - Kyle Lund, Sam Dietrich, Scott Chow, James C. Boerkoel:
Robust Execution of Probabilistic Temporal Plans. 3597-3604 - Hang Ma, T. K. Satish Kumar, Sven Koenig:
Multi-Agent Path Finding with Delay Probabilities. 3605-3612 - Brent Mombourquette, Christian J. Muise, Sheila A. McIlraith:
Logical Filtering and Smoothing: State Estimation in Partially Observable Domains. 3613-3621 - Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi:
Landmark-Based Heuristics for Goal Recognition. 3622-3628 - Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein:
Fast SSP Solvers Using Short-Sighted Labeling. 3629-3635 - Florian Pommerening, Malte Helmert, Blai Bonet:
Higher-Dimensional Potential Heuristics for Optimal Classical Planning. 3636-3643 - Jussi Rintanen:
Schematic Invariants by Reduction to Ground Invariants. 3644-3650 - Jendrik Seipp, Thomas Keller, Malte Helmert:
Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical Planning. 3651-3657 - Vikas Shivashankar, Ron Alford, David W. Aha:
Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning. 3658-3664 - Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu:
Computational Issues in Time-Inconsistent Planning. 3665-3671 - Erwin Walraven, Matthijs T. J. Spaan:
Accelerated Vector Pruning for Optimal POMDP Solvers. 3672-3678 - Zizhan Zheng, Ness B. Shroff, Prasant Mohapatra:
When to Reset Your Keys: Optimal Timing of Security Updates via Learning. 3679-3685 - Hankz Hankui Zhuo:
Human-Aware Plan Recognition. 3686-3693
Reasoning under Uncertainty
- Mario Alviano, Giovanni Amendola, Rafael Peñaloza:
Minimal Undefinedness for Fuzzy Answer Sets. 3694-3700 - Vaishak Belle:
Open-Universe Weighted Model Counting. 3701-3708 - Sara Bernardini, Maria Fox, Derek Long, Chiara Piacentini:
Deterministic versus Probabilistic Methods for Searching for an Evasive Target. 3709-3715 - Alberto Camacho, Eleni Triantafillou, Christian J. Muise, Jorge A. Baier, Sheila A. McIlraith:
Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite Traces. 3716-3724 - Krishnendu Chatterjee, Petr Novotný, Guillermo A. Pérez, Jean-François Raskin, Dorde Zikelic:
Optimizing Expectation with Guarantees in POMDPs. 3725-3732 - Shanbo Chu, Yong Jiang, Kewei Tu:
Latent Dependency Forest Models. 3733-3739 - Juan D. Correa, Elias Bareinboim:
Causal Effect Identification by Adjustment under Confounding and Selection Biases. 3740-3746 - Wolfgang Gatterbauer:
The Linearization of Belief Propagation on Pairwise Markov Random Fields. 3747-3753 - Gregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann:
The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares. 3754-3760 - Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan:
Misspecified Linear Bandits. 3761-3767 - Xiaowei Huang, Marta Zofia Kwiatkowska:
Reasoning about Cognitive Trust in Stochastic Multiagent Systems. 3768-3774 - Radu Marinescu, Junkyu Lee, Alexander Ihler, Rina Dechter:
Anytime Best+Depth-First Search for Bounding Marginal MAP. 3775-3782 - Radu Marinescu, Abdul Razak, Nic Wilson:
Multi-Objective Influence Diagrams with Possibly Optimal Policies. 3783-3789 - Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern:
Hindsight Optimization for Hybrid State and Action MDPs. 3790-3796 - Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin A. Rothkopf:
I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior. 3797-3803 - Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel:
Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties. 3804-3811
Robotics
- Olov Andersson, Mariusz Wzorek, Patrick Doherty:
Deep Learning Quadcopter Control via Risk-Aware Active Learning. 3812-3818 - Paul Duckworth, Muhannad Al-Omari, James Charles, David C. Hogg, Anthony G. Cohn:
Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot. 3819-3826 - Vitor Campanholo Guizilini, Fabio Tozeto Ramos:
Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps. 3827-3833 - Josiah P. Hanna, Peter Stone:
Grounded Action Transformation for Robot Learning in Simulation. 3834-3840 - Hao Xiong, Dacheng Tao:
A Diversified Generative Latent Variable Model for WiFi-SLAM. 3841-3847 - Hang Yin, Francisco S. Melo, Aude Billard, Ana Paiva:
Associate Latent Encodings in Learning from Demonstrations. 3848-3854 - Shiqi Zhang, Piyush Khandelwal, Peter Stone:
Dynamically Constructed (PO)MDPs for Adaptive Robot Planning. 3855-3863
Search and Constraint Satisfaction
- Thomas Caridroit, Jean-Marie Lagniez, Daniel Le Berre, Tiago de Lima, Valentin Montmirail:
A SAT-Based Approach for Solving the Modal Logic S5-Satisfiability Problem. 3864-3870 - Achref El Mouelhi:
A BTP-Based Family of Variable Elimination Rules for Binary CSPs. 3871-3877 - Marcelo Finger, Glauber De Bona:
Algorithms for Deciding Counting Quantifiers over Unary Predicates. 3878-3884 - Daniel J. Fremont, Markus N. Rabe, Sanjit A. Seshia:
Maximum Model Counting. 3885-3892 - Tobias Friedrich, Anton Krohmer, Ralf Rothenberger, Andrew M. Sutton:
Phase Transitions for Scale-Free SAT Formulas. 3893-3899 - Lane A. Hemaspaandra, David E. Narváez:
The Opacity of Backbones. 3900-3906 - Ruth Hoffmann, Ciaran McCreesh, Craig Reilly:
Between Subgraph Isomorphism and Maximum Common Subgraph. 3907-3914 - Sixue Liu, Gerard de Melo:
Should Algorithms for Random SAT and Max-SAT Be Different? 3915-3921 - Guillaume Perez, Jean-Charles Régin:
Soft and Cost MDD Propagators. 3922-3928 - M. S. Ramanujan, Stefan Szeider:
Rigging Nearly Acyclic Tournaments Is Fixed-Parameter Tractable. 3929-3935 - Saeedeh Shekarpour, Edgard Marx, Sören Auer, Amit P. Sheth:
RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem. 3936-3943 - Cornelis Jan van Leeuwen, Przemyslaw Pawelczak:
CoCoA: A Non-Iterative Approach to a Local Search (A)DCOP Solver. 3944-3950 - Hélène Verhaeghe, Christophe Lecoutre, Pierre Schaus:
Extending Compact-Table to Negative and Short Tables. 3951-3957 - Colin Wei, Stefano Ermon:
General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis. 3958-3966
Vision
- Song Bai, Xiang Bai, Qi Tian, Longin Jan Latecki:
Regularized Diffusion Process for Visual Retrieval. 3967-3973 - Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu:
Collective Deep Quantization for Efficient Cross-Modal Retrieval. 3974-3980 - Minghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Qiang Liu, Jungong Han:
Reference Based LSTM for Image Captioning. 3981-3987 - Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang:
A Multi-Task Deep Network for Person Re-Identification. 3988-3994 - Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni:
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem. 3995-4001 - Guoxian Dai, Jin Xie, Fan Zhu, Yi Fang:
Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval. 4002-4008 - Zhen Dong, Su Jia, Chi Zhang, Mingtao Pei, Yuwei Wu:
Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition. 4009-4015 - Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal:
Sherlock: Scalable Fact Learning in Images. 4016-4024 - Heng Fan, Jinhai Xiang:
Robust Visual Tracking via Local-Global Correlation Filter. 4025-4031 - Chuang Gan, Chen Sun, Ram Nevatia:
DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos. 4032-4038 - Quan Gan, Siqi Nie, Shangfei Wang, Qiang Ji:
Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network. 4039-4045 - Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan:
Active Video Summarization: Customized Summaries via On-line Interaction with the User. 4046-4052 - Jun Guo, Hongyang Chao:
Building an End-to-End Spatial-Temporal Convolutional Network for Video Super-Resolution. 4053-4060 - Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao:
Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels. 4061-4067 - Emily M. Hand, Rama Chellappa:
Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification. 4068-4074 - Xiangteng He, Yuxin Peng:
Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-Grained Image Classification. 4075-4081 - Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang:
Video Recovery via Learning Variation and Consistency of Images. 4082-4088 - Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo:
Nonnegative Orthogonal Graph Matching. 4089-4095 - Xiaojie Jin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Multi-Path Feedback Recurrent Neural Networks for Scene Parsing. 4096-4102 - Chulmoo Kang, Gunhee Kim, Suk I. Yoo:
Detection and Recognition of Text Embedded in Online Images via Neural Context Models. 4103-4110 - Suha Kwak, Seunghoon Hong, Bohyung Han:
Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network. 4111-4117 - Xiangyuan Lan, Pong C. Yuen, Rama Chellappa:
Robust MIL-Based Feature Template Learning for Object Tracking. 4118-4125 - Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang:
Learning Patch-Based Dynamic Graph for Visual Tracking. 4126-4132 - Linghui Li, Sheng Tang, Lixi Deng, Yongdong Zhang, Qi Tian:
Image Caption with Global-Local Attention. 4133-4139 - Siyi Li, Dit-Yan Yeung:
Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models. 4140-4146 - Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang:
A Multiview-Based Parameter Free Framework for Group Detection. 4147-4153 - Zechao Li, Jinhui Tang:
Weakly-Supervised Deep Nonnegative Low-Rank Model for Social Image Tag Refinement and Assignment. 4154-4160 - Minghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, Wenyu Liu:
TextBoxes: A Fast Text Detector with a Single Deep Neural Network. 4161-4167 - Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu:
An Artificial Agent for Robust Image Registration. 4168-4175 - Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille:
Attention Correctness in Neural Image Captioning. 4176-4182 - Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li:
Boosting Complementary Hash Tables for Fast Nearest Neighbor Search. 4183-4189 - Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin:
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition. 4190-4196 - Yuan Liu, Xue Li, Zhongchao Shi:
Video Captioning with Listwise Supervision. 4197-4203 - Yao Lu, Linda G. Shapiro:
Closing the Loop for Edge Detection and Object Proposals. 4204-4210 - Chenxu Luo, Chang Ma, Chunyu Wang, Yizhou Wang:
Learning Discriminative Activated Simplices for Action Recognition. 4211-4217 - Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou:
Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization. 4218-4224 - Anton Milan, Seyed Hamid Rezatofighi, Anthony R. Dick, Ian D. Reid, Konrad Schindler:
Online Multi-Target Tracking Using Recurrent Neural Networks. 4225-4232 - Jonghwan Mun, Minsu Cho, Bohyung Han:
Text-Guided Attention Model for Image Captioning. 4233-4239 - Tianxiang Pan, Bin Wang, Guiguang Ding, Jun-Hai Yong:
Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation. 4240-4246 - A. J. Piergiovanni, Chenyou Fan, Michael S. Ryoo:
Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters. 4247-4254 - Michael S. Ryoo, Brandon Rothrock, Charles Fleming, Hyun Jong Yang:
Privacy-Preserving Human Activity Recognition from Extreme Low Resolution. 4255-4262 - Sijie Song, Cuiling Lan, Junliang Xing, Wenjun Zeng, Jiaying Liu:
An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data. 4263-4270 - Xinhang Song, Luis Herranz, Shuqiang Jiang:
Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs. 4271-4277 - Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi:
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. 4278-4284 - Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu:
Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. 4285-4291 - Qi Wang, Mulin Chen, Xuelong Li:
Quantifying and Detecting Collective Motion by Manifold Learning. 4292-4298 - Yuanlu Xu, Xiaobai Liu, Lei Qin, Song-Chun Zhu:
Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing. 4299-4305 - Yang Yang, Longyin Wen, Siwei Lyu, Stan Z. Li:
Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification. 4306-4312 - Arjun Yogeswaran, Pierre Payeur:
Leveraging Saccades to Learn Smooth Pursuit: A Self-Organizing Motion Tracking Model Using Restricted Boltzmann Machines. 4313-4319 - Tan Yu, Yuwei Wu, Sreyasee Das Bhattacharjee, Junsong Yuan:
Efficient Object Instance Search Using Fuzzy Objects Matching. 4320-4326 - Xin Yu, Fatih Porikli:
Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks. 4327-4333 - Kuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun:
Leveraging Video Descriptions to Learn Video Question Answering. 4334-4340 - Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Yunhong Wang, Wangmeng Zuo, Wei-Shi Zheng:
Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image. 4341-4348
Special Track on Cognitive Systems
- Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn:
Natural Language Acquisition and Grounding for Embodied Robotic Systems. 4349-4356 - Joseph A. Blass, Kenneth D. Forbus:
Analogical Chaining with Natural Language Instruction for Commonsense Reasoning. 4357-4363 - Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Inductive Reasoning about Ontologies Using Conceptual Spaces. 4364-4370 - Mason Bretan, Gil Weinberg:
Integrating the Cognitive with the Physical: Musical Path Planning for an Improvising Robot. 4371-4377 - Guillem Collell, Ted Zhang, Marie-Francine Moens:
Imagined Visual Representations as Multimodal Embeddings. 4378-4384 - Michael T. Cox, Dustin Dannenhauer, Sravya Kondrakunta:
Goal Operations for Cognitive Systems. 4385-4391 - Wang-Zhou Dai, Zhi-Hua Zhou:
Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge. 4392-4398 - Elias Fernández Domingos, Juan-Carlos Burguillo, Tom Lenaerts:
Reactive Versus Anticipative Decision Making in a Novel Gift-Giving Game. 4399-4405 - Yolanda Gil, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Ravali Adusumilli, Hunter Boyce, Arunima Srivastava, Parag Mallick:
Towards Continuous Scientific Data Analysis and Hypothesis Evolution. 4406-4414 - Pat Langley, Adam Arvay:
Flexible Model Induction through Heuristic Process Discovery. 4415-4421 - Smitha Milli, Falk Lieder, Thomas L. Griffiths:
When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems? 4422-4428 - Abhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, Pushpak Bhattacharyya:
Scanpath Complexity: Modeling Reading Effort Using Gaze Information. 4429-4436 - Abhishek Sharma, Keith M. Goolsbey:
Identifying Useful Inference Paths in Large Commonsense Knowledge Bases by Retrograde Analysis. 4437-4443 - Robyn Speer, Joshua Chin, Catherine Havasi:
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge. 4444-4451 - Budhitama Subagdja, Ah-Hwee Tan:
Towards a Brain Inspired Model of Self-Awareness for Sociable Agents. 4452-4458 - Adam R. Teichert, Adam Poliak, Benjamin Van Durme, Matthew R. Gormley:
Semantic Proto-Role Labeling. 4459-4466
Special Track on Computational Sustainability
- Nipun Batra, Hongning Wang, Amarjeet Singh, Kamin Whitehouse:
Matrix Factorisation for Scalable Energy Breakdown. 4467-4473 - Souhaib Ben Taieb, Jiafan Yu, Mateus Neves Barreto, Ram Rajagopal:
Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data. 4474-4480 - Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath:
Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method. 4481-4487 - Leonardo Dueñas-Osorio, Kuldeep S. Meel, Roger Paredes, Moshe Y. Vardi:
Counting-Based Reliability Estimation for Power-Transmission Grids. 4488-4494 - Yann Dujardin, Tom Dietterich, Iadine Chades:
Three New Algorithms to Solve N-POMDPs. 4495-4501 - Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei:
Fine-Grained Car Detection for Visual Census Estimation. 4502-4508 - André R. Gonçalves, Arindam Banerjee, Fernando J. Von Zuben:
Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning. 4509-4515 - Rebecca A. Hutchinson, Liqiang He, Sarah C. Emerson:
Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-Conditional Noise. 4516-4523 - Alameen Najjar, Shun'ichi Kaneko, Yoshikazu Miyanaga:
Combining Satellite Imagery and Open Data to Map Road Safety. 4524-4530 - Martin Péron, Kai Helge Becker, Peter L. Bartlett, Iadine Chades:
Fast-Tracking Stationary MOMDPs for Adaptive Management Problems. 4531-4537 - Thuy Vu, Douglas Stott Parker:
Extracting Urban Microclimates from Electricity Bills. 4538-4544 - XiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein:
Robust Optimization for Tree-Structured Stochastic Network Design. 4545-4551 - Yexiang Xue, XiaoJian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Andrew Royle, Carla P. Gomes:
Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information. 4552-4558 - Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon:
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data. 4559-4566
Special Track on Integrated Systems
- Peng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie, Xue Teng:
Healthy Cognitive Aging: A Hybrid Random Vector Functional-Link Model for the Analysis of Alzheimer's Disease. 4567-4573 - Enrique Fernández-González, Erez Karpas, Brian Charles Williams:
Mixed Discrete-Continuous Planning with Convex Optimization. 4574-4580 - Richard G. Freedman, Shlomo Zilberstein:
Integration of Planning with Recognition for Responsive Interaction Using Classical Planners. 4581-4588 - Uwe Köckemann, Lars Karlsson:
Configuration Planning with Temporal Constraints. 4589-4595 - Yosef Razin, Karen M. Feigh:
Learning to Predict Intent from Gaze During Robotic Hand-Eye Coordination. 4596-4602 - Sz-Rung Shiang, Stephanie Rosenthal, Anatole Gershman, Jaime G. Carbonell, Jean Oh:
Vision-Language Fusion for Object Recognition. 4603-4610 - Shirin Sohrabi, Anton V. Riabov, Octavian Udrea:
State Projection via AI Planning. 4611-4617 - Zhao Yan, Nan Duan, Peng Chen, Ming Zhou, Jianshe Zhou, Zhoujun Li:
Building Task-Oriented Dialogue Systems for Online Shopping. 4618-4626
Innovative Applications of Artificial Intelligence Conference: Deployed Application Case Studies
- Faizan Javed, Phuong Hoang, Thomas Mahoney, Matt McNair:
Large-Scale Occupational Skills Normalization for Online Recruitment. 4627-4634 - Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes:
Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. 4635-4643
Innovative Applications of Artificial Intelligence Conference: Emerging Application Case Studies
- Rabah A. Al-Zaidy, C. Lee Giles:
A Machine Learning Approach for Semantic Structuring of Scientific Charts in Scholarly Documents. 4644-4649 - Pietro Edoardo Carnelli, Joy Yeh, Mahesh Sooriyabandara, Aftab Khan:
ParkUs: A Novel Vehicle Parking Detection System. 4650-4656 - Tathagata Chakraborti, Kartik Talamadupula, Kshitij P. Fadnis, Murray Campbell, Subbarao Kambhampati:
UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS. 4657-4663 - Manal Chokr, Shady Elbassuoni:
Calories Prediction from Food Images. 4664-4669 - Negar Ghourchian, Michel Allegue-Martínez, Doina Precup:
Real-Time Indoor Localization in Smart Homes Using Semi-Supervised Learning. 4670-4677 - Arnaud Gotlieb, Marine Louarn, Mari Nygård, Tomás Ruiz-López, Sagar Sen, Roberta Gori:
Constraint-Based Verification of a Mobile App Game Designed for Nudging People to Attend Cancer Screening. 4678-4685 - Yuji Horiguchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno:
Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines. 4686-4693 - Gollakota Kaushik, Abinaya Manimaran, Arunchandar Vasan, Venkatesh Sarangan, Anand Sivasubramaniam:
Cracks Under Pressure? Burst Prediction in Water Networks Using Dynamic Metrics. 4694-4700 - Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan:
Determining Relative Airport Threats from News and Social Media. 4701-4707 - John Krumm, Eric Horvitz:
Risk-Aware Planning: Methods and Case Study for Safer Driving Routes. 4708-4714 - Elad Liebman, Piyush Khandelwal, Maytal Saar-Tsechansky, Peter Stone:
Designing Better Playlists with Monte Carlo Tree Search. 4715-4720 - Shiwali Mohan, Anusha Venkatakrishnan, Michael Silva, Peter Pirolli:
On Designing a Social Coach to Promote Regular Aerobic Exercise. 4721-4727 - Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung:
Crowdsensing Air Quality with Camera-Enabled Mobile Devices. 4728-4733 - Ruben Rodriguez Torrado, Jesus Rios, Gerald Tesauro:
Optimal Sequential Drilling for Hydrocarbon Field Development Planning. 4734-4739 - Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh, Ishan Durugkar, Emma Brunskill:
Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing. 4740-4745 - Samarth Tripathi, Shrinivas Acharya, Ranti Dev Sharma, Sudhanshu Mittal, Samit Bhattacharya:
Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Dataset. 4746-4752 - Yi Wang, Joohyung Lee, Doo Soon Kim:
A Logic Based Approach to Answering Questions about Alternatives in DIY Domains. 4753-4759
Innovative Applications of Artificial Intelligence Conference: Challenge Problem Papers
- Ian Gemp, Georgios Theocharous, Mohammad Ghavamzadeh:
Automated Data Cleansing through Meta-Learning. 4760-4761