| 2017 | A Bayesian Approach to Argument-Based Reasoning for Attack Estimation. Hiroyuki Kido, Keishi Okamoto |
| 2017 | A Causal Framework for Discovering and Removing Direct and Indirect Discrimination. Lu Zhang, Yongkai Wu, Xintao Wu |
| 2017 | A Characterization Theorem for a Modal Description Logic. Paul Wild, Lutz Schröder |
| 2017 | A Convolutional Approach for Misinformation Identification. Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan |
| 2017 | A Core-Guided Approach to Learning Optimal Causal Graphs. Antti Hyttinen, Paul Saikko, Matti Järvisalo |
| 2017 | A Correlated Topic Model Using Word Embeddings. Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang |
| 2017 | A Data-Driven Approach to Infer Knowledge Base Representation for Natural Language Relations. Kangqi Luo, Xusheng Luo, Xianyang Chen, Kenny Q. Zhu |
| 2017 | A Deep Neural Network for Chinese Zero Pronoun Resolution. Qingyu Yin, Weinan Zhang, Yu Zhang, Ting Liu |
| 2017 | A Density-based Nonparametric Model for Online Event Discovery from the Social Media Data. Jinjin Guo, Zhiguo Gong |
| 2017 | A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell |
| 2017 | A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging. Xinchi Chen, Xipeng Qiu, Xuanjing Huang |
| 2017 | A Framework for Long-Term Learning Systems. Diana Benavides Prado |
| 2017 | A Functional Dynamic Boltzmann Machine. Hiroshi Kajino |
| 2017 | A General Multi-agent Epistemic Planner Based on Higher-order Belief Change. Xiao Huang, Biqing Fang, Hai Wan, Yongmei Liu |
| 2017 | A General Notion of Equivalence for Abstract Argumentation. Ringo Baumann, Wolfgang Dvorák, Thomas Linsbichler, Stefan Woltran |
| 2017 | A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning. Honglun Zhang, Liqiang Xiao, Yongkun Wang, Yaohui Jin |
| 2017 | A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat. Michael W. Floyd, Justin Karneeb, Philip Moore, David W. Aha |
| 2017 | A Goal-Oriented Meaning-based Statistical Multi-Step Math Word Problem Solver with Understanding, Reasoning and Explanation. Chao-Chun Liang, Yu-Shiang Wong, Yi-Chung Lin, Keh-Yih Su |
| 2017 | A Group-Based Personalized Model for Image Privacy Classification and Labeling. Haoti Zhong, Anna Cinzia Squicciarini, David J. Miller, Cornelia Caragea |
| 2017 | A Model for Accountable Ordinal Sorting. Khaled Belahcène, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane |
| 2017 | A Monte Carlo Tree Search approach to Active Malware Analysis. Riccardo Sartea, Alessandro Farinelli |
| 2017 | A Neural Model for Joint Event Detection and Summarization. Zhongqing Wang, Yue Zhang |
| 2017 | A New Semantics for Overriding in Description Logics (Extended Abstract). Piero A. Bonatti, Marco Faella, Iliana M. Petrova, Luigi Sauro |
| 2017 | A Novel Symbolic Approach to Verifying Epistemic Properties of Programs. Nikos Gorogiannis, Franco Raimondi, Ioana Boureanu |
| 2017 | A Partitioning Algorithm for Maximum Common Subgraph Problems. Ciaran McCreesh, Patrick Prosser, James Trimble |
| 2017 | A Random Model for Argumentation Framework: Phase Transitions, Empirical Hardness, and Heuristics. Yong Gao |
| 2017 | A Reasoning System for a First-Order Logic of Limited Belief. Christoph Schwering |
| 2017 | A Recursive Shortcut for CEGAR: Application To The Modal Logic K Satisfiability Problem. Jean-Marie Lagniez, Daniel Le Berre, Tiago de Lima, Valentin Montmirail |
| 2017 | A Reduction based Method for Coloring Very Large Graphs. Jinkun Lin, Shaowei Cai, Chuan Luo, Kaile Su |
| 2017 | A Robust Noise Resistant Algorithm for POI Identification from Flickr Data. Yiyang Yang, Zhiguo Gong, Qing Li, Leong Hou U, Ruichu Cai, Zhifeng Hao |
| 2017 | A SAT Approach to Branchwidth. Neha Lodha, Sebastian Ordyniak, Stefan Szeider |
| 2017 | A Scalable Approach to Chasing Multiple Moving Targets with Multiple Agents. Fan Xie, Adi Botea, Akihiro Kishimoto |
| 2017 | A Sequence Labeling Convolutional Network and Its Application to Handwritten String Recognition. Qingqing Wang, Yue Lu |
| 2017 | A Structural Representation Learning for Multi-relational Networks. Lin Liu, Xin Li, William K. Cheung, Chengcheng Xu |
| 2017 | A Study of Unrestricted Abstract Argumentation Frameworks. Ringo Baumann, Christof Spanring |
| 2017 | A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing. Qikun Xiang, Jie Zhang, Ido Nevat, Pengfei Zhang |
| 2017 | A Unifying Framework for Probabilistic Belief Revision. Zhiqiang Zhuang, James P. Delgrande, Abhaya C. Nayak, Abdul Sattar |
| 2017 | A Variational Autoencoding Approach for Inducing Cross-lingual Word Embeddings. Liang-Chen Wei, Zhi-Hong Deng |
| 2017 | A Verified SAT Solver Framework with Learn, Forget, Restart, and Incrementality. Jasmin Christian Blanchette, Mathias Fleury, Christoph Weidenbach |
| 2017 | A generic approach to planning in the presence of incomplete information: Theory and implementation (Extended Abstract). Son Thanh To, Tran Cao Son, Enrico Pontelli |
| 2017 | AGRA: An Analysis-Generation-Ranking Framework for Automatic Abbreviation from Paper Titles. Jianbing Zhang, Yixin Sun, Shujian Huang, Cam-Tu Nguyen, Xiaoliang Wang, Xinyu Dai, Jiajun Chen, Yang Yu |
| 2017 | ATL Strategic Reasoning Meets Correlated Equilibrium. Xiaowei Huang, Ji Ruan |
| 2017 | AToM: An Analogical Theory of Mind. Irina Rabkina |
| 2017 | AccGenSVM: Selectively Transferring from Previous Hypotheses. Diana Benavides Prado, Yun Sing Koh, Patricia Riddle |
| 2017 | Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang |
| 2017 | Accelerated Local Anomaly Detection via Resolving Attributed Networks. Ninghao Liu, Xiao Huang, Xia Hu |
| 2017 | Acceptability Semantics for Weighted Argumentation Frameworks. Leila Amgoud, Jonathan Ben-Naim, Dragan Doder, Srdjan Vesic |
| 2017 | Achieving Coordination in Multi-Agent Systems by Stable Local Conventions under Community Networks. Shuyue Hu, Ho-fung Leung |
| 2017 | Active Learning for Black-Box Semantic Role Labeling with Neural Factors. Chenguang Wang, Laura Chiticariu, Yunyao Li |
| 2017 | Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report. Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths |
| 2017 | Adaptive Elicitation of Preferences under Uncertainty in Sequential Decision Making Problems. Nawal Benabbou, Patrice Perny |
| 2017 | Adaptive Group Sparse Multi-task Learning via Trace Lasso. Sulin Liu, Sinno Jialin Pan |
| 2017 | Adaptive Hypergraph Learning for Unsupervised Feature Selection. Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He |
| 2017 | Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks. Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura |
| 2017 | Adaptive Manifold Regularized Matrix Factorization for Data Clustering. Lefei Zhang, Qian Zhang, Bo Du, Jane You, Dacheng Tao |
| 2017 | Adaptive Semantic Compositionality for Sentence Modelling. Pengfei Liu, Xipeng Qiu, Xuanjing Huang |
| 2017 | Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression. Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng |
| 2017 | Adaptively Unified Semi-supervised Learning for Cross-Modal Retrieval. Liang Zhang, Bingpeng Ma, Jianfeng He, Guorong Li, Qingming Huang, Qi Tian |
| 2017 | Additive Merge-and-Shrink Heuristics for Diverse Action Costs. Gaojian Fan, Martin Müller, Robert Holte |
| 2017 | Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training. Xingjun Ma, Sudanthi N. R. Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen J. O'Leary, James Bailey |
| 2017 | Affinity Learning for Mixed Data Clustering. Nan Li, Longin Jan Latecki |
| 2017 | Agent Design Consistency Checking via Planning. Nitin Yadav, John Thangarajah, Sebastian Sardiña |
| 2017 | Aggregating Crowd Wisdoms with Label-aware Autoencoders. Li'ang Yin, Jianhua Han, Weinan Zhang, Yong Yu |
| 2017 | Aggressive, Tense or Shy? Identifying Personality Traits from Crowd Videos. Aniket Bera, Tanmay Randhavane, Dinesh Manocha |
| 2017 | Algorithmic Bias in Autonomous Systems. David Danks, Alex John London |
| 2017 | An Abstraction-Refinement Methodology for Reasoning about Network Games. Guy Avni, Shibashis Guha, Orna Kupferman |
| 2017 | An Admissible HTN Planning Heuristic. Pascal Bercher, Gregor Behnke, Daniel Höller, Susanne Biundo |
| 2017 | An Algorithm for Constructing and Solving Imperfect Recall Abstractions of Large Extensive-Form Games. Jiri Cermak, Branislav Bosanský, Viliam Lisý |
| 2017 | An Attention-based Regression Model for Grounding Textual Phrases in Images. Ko Endo, Masaki Aono, Eric Nichols, Kotaro Funakoshi |
| 2017 | An Effective Learnt Clause Minimization Approach for CDCL SAT Solvers. Mao Luo, Chu-Min Li, Fan Xiao, Felip Manyà, Zhipeng Lü |
| 2017 | An End-to-End System for Accomplishing Tasks with Modular Robots: Perspectives for the AI community. Gangyuan Jing, Tarik Tosun, Mark Yim, Hadas Kress-Gazit |
| 2017 | An Improved Approximation Algorithm for the Subpath Planning Problem and Its Generalization. Hanna Sumita, Yuma Yonebayashi, Naonori Kakimura, Ken-ichi Kawarabayashi |
| 2017 | An Improved Decision-DNNF Compiler. Jean-Marie Lagniez, Pierre Marquis |
| 2017 | Analogy-preserving functions: A way to extend Boolean samples. Miguel Couceiro, Nicolas Hug, Henri Prade, Gilles Richard |
| 2017 | Angle Principal Component Analysis. Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie |
| 2017 | Answering Conjunctive Regular Path Queries over Guarded Existential Rules. Jean-François Baget, Meghyn Bienvenu, Marie-Laure Mugnier, Michaël Thomazo |
| 2017 | App Download Forecasting: An Evolutionary Hierarchical Competition Approach. Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Chuan Qin, Xing Xie |
| 2017 | Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network. Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li |
| 2017 | Approximate Value Iteration with Temporally Extended Actions (Extended Abstract). Timothy A. Mann, Shie Mannor, Doina Precup |
| 2017 | Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion. Sicheng Zhao, Guiguang Ding, Yue Gao, Jungong Han |
| 2017 | Attachment Centrality for Weighted Graphs. Jadwiga Sosnowska, Oskar Skibski |
| 2017 | Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks. Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, Tat-Seng Chua |
| 2017 | AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract). Marius Lindauer, Frank Hutter, Holger H. Hoos, Torsten Schaub |
| 2017 | Autoencoder Regularized Network For Driving Style Representation Learning. Weishan Dong, Ting Yuan, Kai Yang, Changsheng Li, Shilei Zhang |
| 2017 | Automated Conjecturing I: Fajtlowicz's Dalmatian Heuristic Revisited (Extended Abstract). Craig E. Larson, Nico Van Cleemput |
| 2017 | Automated Planning for Urban Traffic Management. Thomas Leo McCluskey, Mauro Vallati, Santiago Franco |
| 2017 | Automatic Assessment of Absolute Sentence Complexity. Sanja Stajner, Simone Paolo Ponzetto, Heiner Stuckenschmidt |
| 2017 | Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract). Raffaella Bernardi, Ruket Çakici, Desmond Elliott, Aykut Erdem, Erkut Erdem, Nazli Ikizler-Cinbis, Frank Keller, Adrian Muscat, Barbara Plank |
| 2017 | Automatic Generation of Grounded Visual Questions. Shijie Zhang, Lizhen Qu, Shaodi You, Zhenglu Yang, Jiawan Zhang |
| 2017 | Automatic Synthesis of Smart Table Constraints by Abstraction of Table Constraints. Baudouin Le Charlier, Minh Thanh Khong, Christophe Lecoutre, Yves Deville |
| 2017 | Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning. Sanmit Narvekar, Jivko Sinapov, Peter Stone |
| 2017 | Basket-Sensitive Personalized Item Recommendation. Duc-Trong Le, Hady Wirawan Lauw, Yuan Fang |
| 2017 | Bayesian Aggregation of Categorical Distributions with Applications in Crowdsourcing. Alexandry Augustin, Matteo Venanzi, Alex Rogers, Nicholas R. Jennings |
| 2017 | Bayesian Dynamic Mode Decomposition. Naoya Takeishi, Yoshinobu Kawahara, Yasuo Tabei, Takehisa Yairi |
| 2017 | Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract). James Cussens, Matti Järvisalo, Janne H. Korhonen, Mark Bartlett |
| 2017 | Become Popular in SNS: Tag Recommendation using FolkPopularityRank to Enhance Social Popularity. Toshihiko Yamasaki, Yiwei Zhang, Jiani Hu, Shumpei Sano, Kiyoharu Aizawa |
| 2017 | Belief Change in a Preferential Non-monotonic Framework. Giovanni Casini, Thomas Andreas Meyer |
| 2017 | Belief Manipulation Through Propositional Announcements. Aaron Hunter, François Schwarzentruber, Eric Tsang |
| 2017 | Bernoulli Rank-1 Bandits for Click Feedback. Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen |
| 2017 | Beyond Forks: Finding and Ranking Star Factorings for Decoupled Search. Daniel Gnad, Valerie Poser, Jörg Hoffmann |
| 2017 | Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN. Yanyu Xu, Nianyi Li, Junru Wu, Jingyi Yu, Shenghua Gao |
| 2017 | Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means. Mahesh Mohan, Claire Monteleoni |
| 2017 | Bilateral Multi-Perspective Matching for Natural Language Sentences. Zhiguo Wang, Wael Hamza, Radu Florian |
| 2017 | Binary Linear Compression for Multi-label Classification. Wen-Ji Zhou, Yang Yu, Min-Ling Zhang |
| 2017 | Blockedness in Propositional Logic: Are You Satisfied With Your Neighborhood? Benjamin Kiesl, Martina Seidl, Hans Tompits, Armin Biere |
| 2017 | Blue Skies: A Methodology for Data-Driven Clear Sky Modelling. Kartik Palani, Ramachandra Kota, Amar Prakash Azad, Vijay Arya |
| 2017 | Boosted Zero-Shot Learning with Semantic Correlation Regularization. Te Pi, Xi Li, Zhongfei (Mark) Zhang |
| 2017 | Bounded Timed Propositional Temporal Logic with Past Captures Timeline-based Planning with Bounded Constraints. Dario Della Monica, Nicola Gigante, Angelo Montanari, Pietro Sala, Guido Sciavicco |
| 2017 | Bounding the Inefficiency of Compromise. Ioannis Caragiannis, Panagiotis Kanellopoulos, Alexandros A. Voudouris |
| 2017 | Bridging the Gap between Observation and Decision Making: Goal Recognition and Flexible Resource Allocation in Dynamic Network Interdiction. Kai Xu, Kaiming Xiao, Quanjun Yin, Yabing Zha, Cheng Zhu |
| 2017 | Budget-Constrained Dynamics in Multiagent Systems. Rui Cao, Pavel Naumov |
| 2017 | CCEHC: An Efficient Local Search Algorithm for Weighted Partial Maximum Satisfiability (Extended Abstract). Chuan Luo, Shaowei Cai, Kaile Su, Wenxuan Huang |
| 2017 | CFNN: Correlation Filter Neural Network for Visual Object Tracking. Yang Li, Zhan Xu, Jianke Zhu |
| 2017 | CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis. Adam Summerville, Joseph C. Osborn, Michael Mateas |
| 2017 | COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints. Toon van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel |
| 2017 | COG-DICE: An Algorithm for Solving Continuous-Observation Dec-POMDPs. Madison Clark-Turner, Christopher Amato |
| 2017 | Cake Cutting: Envy and Truth. Xiaohui Bei, Ning Chen, Guangda Huzhang, Biaoshuai Tao, Jiajun Wu |
| 2017 | Cardinality Encodings for Graph Optimization Problems. Alexey Ignatiev, António Morgado, João Marques-Silva |
| 2017 | Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng |
| 2017 | Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking. Jing He, Xin Li, Lejian Liao |
| 2017 | Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination. Kun Zhang, Biwei Huang, Jiji Zhang, Clark Glymour, Bernhard Schölkopf |
| 2017 | Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems. Quan Liu, Hui Jiang, Andrew Evdokimov, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu |
| 2017 | Characterising the Manipulability of Boolean Games. Paul Harrenstein, Paolo Turrini, Michael J. Wooldridge |
| 2017 | Classical Generalized Probabilistic Satisfiability. Carlos Caleiro, Filipe Casal, Andreia Mordido |
| 2017 | Classification and Representation Joint Learning via Deep Networks. Ya Li, Xinmei Tian, Xu Shen, Dacheng Tao |
| 2017 | Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation. Sebastijan Dumancic, Hendrik Blockeel |
| 2017 | Coarse-to-Fine Lifted MAP Inference in Computer Vision. Haroun Habeeb, Ankit Anand, Mausam, Parag Singla |
| 2017 | Cognitive-Inspired Conversational-Strategy Reasoner for Socially-Aware Agents. Oscar J. Romero, Ran Zhao, Justine Cassell |
| 2017 | Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract). Gert de Cooman, Jasper De Bock, Márcio Alves Diniz |
| 2017 | Collaborative Rating Allocation. Yali Du, Chang Xu, Dacheng Tao |
| 2017 | Combining DL-Lite_{bool}^N with Branching Time: A gentle Marriage. Víctor Gutiérrez-Basulto, Jean Christoph Jung |
| 2017 | Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification. Jin Wang, Zhongyuan Wang, Dawei Zhang, Jun Yan |
| 2017 | Combining Models from Multiple Sources for RGB-D Scene Recognition. Xinhang Song, Shuqiang Jiang, Luis Herranz |
| 2017 | Committee Scoring Rules: A Call to Arms. Piotr Faliszewski |
| 2017 | Compact MDDs for Pseudo-Boolean Constraints with At-Most-One Relations in Resource-Constrained Scheduling Problems. Miquel Bofill, Jordi Coll, Josep Suy, Mateu Villaret |
| 2017 | Comparing Strategic Secrecy and Stackelberg Commitment in Security Games. Qingyu Guo, Bo An, Branislav Bosanský, Christopher Kiekintveld |
| 2017 | Competence Guided Model for Casebase Maintenance. Ditty Mathew, Sutanu Chakraborti |
| 2017 | Completely Heterogeneous Transfer Learning with Attention - What And What Not To Transfer. Seungwhan Moon, Jaime G. Carbonell |
| 2017 | Compressed Nonparametric Language Modelling. Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn |
| 2017 | Compromise-free Pathfinding on a Navigation Mesh. Michael Cui, Daniel Damir Harabor, Alban Grastien |
| 2017 | Computer Models Solving Intelligence Test Problems: Progress and Implications (Extended Abstract). José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers, David L. Dowe |
| 2017 | Computing Bayes-Nash Equilibria in Combinatorial Auctions with Continuous Value and Action Spaces. Vitor Bosshard, Benedikt Bünz, Benjamin Lubin, Sven Seuken |
| 2017 | Computing an Approximately Optimal Agreeable Set of Items. Pasin Manurangsi, Warut Suksompong |
| 2017 | Concerning Referring Expressions in Query Answers. Alexander Borgida, David Toman, Grant E. Weddell |
| 2017 | Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning. Rowan McAllister, Yarin Gal, Alex Kendall, Mark van der Wilk, Amar Shah, Roberto Cipolla, Adrian Weller |
| 2017 | Conditional Generative Adversarial Networks for Commonsense Machine Comprehension. Bingning Wang, Kang Liu, Jun Zhao |
| 2017 | Conflict-driven ASP Solving with External Sources and Program Splits. Christoph Redl |
| 2017 | Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification. Ruochun Jin, Yong Dou, Yueqing Wang, Xin Niu |
| 2017 | Constrained Bayesian Reinforcement Learning via Approximate Linear Programming. Jongmin Lee, Youngsoo Jang, Pascal Poupart, Kee-Eung Kim |
| 2017 | Constraint Games revisited. Anthony Palmieri, Arnaud Lallouet |
| 2017 | Constraint-Based Symmetry Detection in General Game Playing. Frédéric Koriche, Sylvain Lagrue, Éric Piette, Sébastien Tabary |
| 2017 | Construction of System of Spheres-based Transitively Relational Partial Meet Multiple Contractions: An Impossibility Result (Extended Abstract). Maurício D. Luís Reis, Eduardo Fermé, Pavlos Peppas |
| 2017 | Constructive Recommendation. Paolo Dragone |
| 2017 | Contest Design with Uncertain Performance and Costly Participation. Priel Levy, David Sarne, Igor Rochlin |
| 2017 | Context Attentive Bandits: Contextual Bandit with Restricted Context. Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud |
| 2017 | Context-Based Reasoning on Privacy in Internet of Things. Nadin Kökciyan, Pinar Yolum |
| 2017 | Context-aware Path Ranking for Knowledge Base Completion. Sahisnu Mazumder, Bing Liu |
| 2017 | ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data. Stan Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, ChengXiang Zhai |
| 2017 | Contextual Covariance Matrix Adaptation Evolutionary Strategies. Abbas Abdolmaleki, Bob Price, Nuno Lau, Luís Paulo Reis, Gerhard Neumann |
| 2017 | Contract Design for Energy Demand Response. Reshef Meir, Hongyao Ma, Valentin Robu |
| 2017 | Convergence and Quality of Iterative Voting Under Non-Scoring Rules. Aaron Koolyk, Tyrone Strangway, Omer Lev, Jeffrey S. Rosenschein |
| 2017 | Convolutional 2D LDA for Nonlinear Dimensionality Reduction. Qi Wang, Zequn Qin, Feiping Nie, Yuan Yuan |
| 2017 | Convolutional-Match Networks for Question Answering. Spyridon Samothrakis, Tom Vodopivec, Michael Fairbank, Maria Fasli |
| 2017 | Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits. Mithun Chakraborty, Kai Yee Phoebe Chua, Sanmay Das, Brendan Juba |
| 2017 | Core Stability in Hedonic Games among Friends and Enemies: Impact of Neutrals. Kazunori Ohta, Nathanaël Barrot, Anisse Ismaili, Yuko Sakurai, Makoto Yokoo |
| 2017 | Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces. Yanan Sui, Joel W. Burdick |
| 2017 | Cost-Effective Active Learning from Diverse Labelers. Sheng-Jun Huang, Jia-Lve Chen, Xin Mu, Zhi-Hua Zhou |
| 2017 | Count-Based Exploration in Feature Space for Reinforcement Learning. Jarryd Martin, Suraj Narayanan Sasikumar, Tom Everitt, Marcus Hutter |
| 2017 | Cross-Domain Recommendation: An Embedding and Mapping Approach. Tong Man, Huawei Shen, Xiaolong Jin, Xueqi Cheng |
| 2017 | Cross-Granularity Graph Inference for Semantic Video Object Segmentation. Huiling Wang, Tinghuai Wang, Ke Chen, Joni-Kristian Kämäräinen |
| 2017 | Cross-modal Common Representation Learning by Hybrid Transfer Network. Xin Huang, Yuxin Peng, Mingkuan Yuan |
| 2017 | Crowd Learning: Improving Online Decision Making Using Crowdsourced Data. Yang Liu, Mingyan Liu |
| 2017 | Curriculum Learning in Reinforcement Learning. Sanmit Narvekar |
| 2017 | DDoS Event Forecasting using Twitter Data. Zhongqing Wang, Yue Zhang |
| 2017 | DISA: A Scientific Writing Advisor with Deep Information Structure Analysis. Hen-Hsen Huang, Hsin-Hsi Chen |
| 2017 | DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework. Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu |
| 2017 | Data-driven Random Fourier Features using Stein Effect. Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos |
| 2017 | Deceptive Path-Planning. Peta Masters, Sebastian Sardiña |
| 2017 | Decreasing Uncertainty in Planning with State Prediction. Senka Krivic, Michael Cashmore, Daniele Magazzeni, Bram Ridder, Sándor Szedmák, Justus H. Piater |
| 2017 | Deep Abnormality Detection in Video Data. Hung Vu |
| 2017 | Deep Context: A Neural Language Model for Large-scale Networked Documents. Hao Wu, Kristina Lerman |
| 2017 | Deep Descriptor Transforming for Image Co-Localization. Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou |
| 2017 | Deep Forest: Towards An Alternative to Deep Neural Networks. Zhi-Hua Zhou, Ji Feng |
| 2017 | Deep Graphical Feature Learning for Face Sketch Synthesis. Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Li |
| 2017 | Deep Learning at Alibaba. Rong Jin |
| 2017 | Deep Matrix Factorization Models for Recommender Systems. Hong-Jian Xue, Xinyu Dai, Jianbing Zhang, Shujian Huang, Jiajun Chen |
| 2017 | Deep Multi-species Embedding. Di Chen, Yexiang Xue, Daniel Fink, Shuo Chen, Carla P. Gomes |
| 2017 | Deep Multiple Instance Hashing for Object-based Image Retrieval. Wanqing Zhao, Ziyu Guan, Hangzai Luo, Jinye Peng, Jianping Fan |
| 2017 | Deep Neural Networks for High Dimension, Low Sample Size Data. Bo Liu, Ying Wei, Yu Zhang, Qiang Yang |
| 2017 | Deep Optical Flow Estimation Via Multi-Scale Correspondence Structure Learning. Shanshan Zhao, Xi Li, Omar El Farouk Bourahla |
| 2017 | Deep Ordinal Regression Based on Data Relationship for Small Datasets. Yanzhu Liu, Adams Wai-Kin Kong, Chi Keong Goh |
| 2017 | Deep Supervised Hashing with Nonlinear Projections. Sen Su, Gang Chen, Xiang Cheng, Rong Bi |
| 2017 | Deep-dense Conditional Random Fields for Object Co-segmentation. Ze-Huan Yuan, Tong Lu, Yirui Wu |
| 2017 | DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim |
| 2017 | DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He |
| 2017 | DeepFacade: A Deep Learning Approach to Facade Parsing. Hantang Liu, Jialiang Zhang, Jianke Zhu, Steven C. H. Hoi |
| 2017 | DeepStory: Video Story QA by Deep Embedded Memory Networks. Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi, Byoung-Tak Zhang |
| 2017 | Defending Against Man-In-The-Middle Attack in Repeated Games. Shuxin Li, Xiaohong Li, Jianye Hao, Bo An, Zhiyong Feng, Kangjie Chen, Chengwei Zhang |
| 2017 | Demystifying Neural Style Transfer. Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou |
| 2017 | Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition. Xinge Zhu, Liang Li, Weigang Zhang, Tianrong Rao, Min Xu, Qingming Huang, Dong Xu |
| 2017 | Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution. Guangyao Shen, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang, Tianrui Hu, Tat-Seng Chua, Wenwu Zhu |
| 2017 | Deterministic, Strategyproof, and Fair Cake Cutting. Vijay Menon, Kate Larson |
| 2017 | Disambiguating Energy Disaggregation: A Collective Probabilistic Approach. Sabina Tomkins, Jay Pujara, Lise Getoor |
| 2017 | Discovering Relevance-Dependent Bicluster Structure from Relational Data. Iku Ohama, Takuya Kida, Hiroki Arimura |
| 2017 | Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set Based Classification. Fei Wu, Xiao-Yuan Jing, Wangmeng Zuo, Ruiping Wang, Xiaoke Zhu |
| 2017 | Discriminative Bayesian Nonparametric Clustering. Vu Nguyen, Dinh Q. Phung, Trung Le, Hung Bui |
| 2017 | Discriminative Deep Hashing for Scalable Face Image Retrieval. Jie Lin, Zechao Li, Jinhui Tang |
| 2017 | Discriminative Dictionary Learning With Ranking Metric Embedded for Person Re-Identification. De Cheng, Xiaojun Chang, Li Liu, Alexander G. Hauptmann, Yihong Gong, Nanning Zheng |
| 2017 | Disguise Adversarial Networks for Click-through Rate Prediction. Yue Deng, Yilin Shen, Hongxia Jin |
| 2017 | Distributed Accelerated Proximal Coordinate Gradient Methods. Yong Ren, Jun Zhu |
| 2017 | Diverse Neuron Type Selection for Convolutional Neural Networks. Guibo Zhu, Zhaoxiang Zhang, Xu-Yao Zhang, Cheng-Lin Liu |
| 2017 | Diverse Weighted Bipartite b-Matching. Faez Ahmed, John P. Dickerson, Mark D. Fuge |
| 2017 | Diversifying Personalized Recommendation with User-session Context. Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu |
| 2017 | Dominance and Optimisation Based on Scale-Invariant Maximum Margin Preference Learning. Mojtaba Montazery, Nic Wilson |
| 2017 | Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts. Aaron Schlenker, Haifeng Xu, Mina Guirguis, Christopher Kiekintveld, Arunesh Sinha, Milind Tambe, Solomon Y. Sonya, Darryl Balderas, Noah Dunstatter |
| 2017 | Doubly Sparsifying Network. Zhangyang Wang, Shuai Huang, Jiayu Zhou, Thomas S. Huang |
| 2017 | Dual Inference for Machine Learning. Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu |
| 2017 | Dual Track Multimodal Automatic Learning through Human-Robot Interaction. Shuqiang Jiang, Weiqing Min, Xue Li, Huayang Wang, Jian Sun, Jiaqi Zhou |
| 2017 | Dynamic Compositional Neural Networks over Tree Structure. Pengfei Liu, Xipeng Qiu, Xuanjing Huang |
| 2017 | Dynamic Logic for Data-aware Systems: Decidability Results. Francesco Belardinelli, Andreas Herzig |
| 2017 | Dynamic Multi-Task Learning with Convolutional Neural Network. Yuchun Fang, Zhengyan Ma, Zhaoxiang Zhang, Xu-Yao Zhang, Xiang Bai |
| 2017 | Dynamic Multi-View Hashing for Online Image Retrieval. Liang Xie, Jialie Shen, Jungong Han, Lei Zhu, Ling Shao |
| 2017 | Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching. Zhen Zhang, Julian J. McAuley, Yong Li, Wei Wei, Yanning Zhang, Qinfeng Shi |
| 2017 | Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift. Yang Lu, Yiu-ming Cheung, Yuan Yan Tang |
| 2017 | Dynamical System-Based Motion Planning for Multi-Arm Systems: Reaching for Moving Objects. Seyed Sina Mirrazavi Salehian, Nadia Figueroa, Aude Billard |
| 2017 | Earth Mover's Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading. Sachin Kumar, Soumen Chakrabarti, Shourya Roy |
| 2017 | Effective Deep Memory Networks for Distant Supervised Relation Extraction. Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, Yongjie Liu |
| 2017 | Effective Representing of Information Network by Variational Autoencoder. Hang Li, Haozheng Wang, Zhenglu Yang, Haochen Liu |
| 2017 | Efficiency Through Procrastination: Approximately Optimal Algorithm Configuration with Runtime Guarantees. Robert Kleinberg, Kevin Leyton-Brown, Brendan Lucier |
| 2017 | Efficient Algorithms And Representations For Chance-constrained Mixed Constraint Programming. Cheng Fang |
| 2017 | Efficient Computation of Extensions for Dynamic Abstract Argumentation Frameworks: An Incremental Approach. Gianvincenzo Alfano, Sergio Greco, Francesco Parisi |
| 2017 | Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems. Quanming Yao, James T. Kwok, Fei Gao, Wei Chen, Tie-Yan Liu |
| 2017 | Efficient Inference and Computation of Optimal Alternatives for Preference Languages Based On Lexicographic Models. Nic Wilson, Anne-Marie George |
| 2017 | Efficient Inference for Untied MLNs. Somdeb Sarkhel, Deepak Venugopal, Nicholas Ruozzi, Vibhav Gogate |
| 2017 | Efficient Kernel Selection via Spectral Analysis. Jian Li, Yong Liu, Hailun Lin, Yinliang Yue, Weiping Wang |
| 2017 | Efficient Label Contamination Attacks Against Black-Box Learning Models. Mengchen Zhao, Bo An, Wei Gao, Teng Zhang |
| 2017 | Efficient Mechanism Design for Online Scheduling (Extended Abstract). Xujin Chen, Xiaodong Hu, Tie-Yan Liu, Weidong Ma, Tao Qin, Pingzhong Tang, Changjun Wang, Bo Zheng |
| 2017 | Efficient Optimal Search under Expensive Edge Cost Computation. Masataro Asai, Akihiro Kishimoto, Adi Botea, Radu Marinescu, Elizabeth M. Daly, Spyros Kotoulas |
| 2017 | Efficient Private ERM for Smooth Objectives. Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang |
| 2017 | Efficient Reinforcement Learning with Hierarchies of Machines by Leveraging Internal Transitions. Aijun Bai, Stuart Russell |
| 2017 | Efficient Techniques for Crowdsourced Top-k Lists. Luca de Alfaro, Vassilis Polychronopoulos, Neoklis Polyzotis |
| 2017 | Efficient Weighted Model Integration via SMT-Based Predicate Abstraction. Paolo Morettin, Andrea Passerini, Roberto Sebastiani |
| 2017 | Efficient and Complete FD-solving for extended array constraints. Quentin Plazar, Mathieu Acher, Sébastien Bardin, Arnaud Gotlieb |
| 2017 | Efficient, Safe, and Probably Approximately Complete Learning of Action Models. Roni Stern, Brendan Juba |
| 2017 | Efficiently Enforcing Path Consistency on Qualitative Constraint Networks by Use of Abstraction. Michael Sioutis, Jean-François Condotta |
| 2017 | EigenNet: Towards Fast and Structural Learning of Deep Neural Networks. Ping Luo |
| 2017 | Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning. Songlei Jian, Longbing Cao, Guansong Pang, Kai Lu, Hang Gao |
| 2017 | Emergency Evacuation Simulator (EES) - a Tool for Planning Community Evacuations in Australia. Dhirendra Singh, Lin Padgham |
| 2017 | Encoding and Recall of Spatio-Temporal Episodic Memory in Real Time. Poo-Hee Chang, Ah-Hwee Tan |
| 2017 | End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification. Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang |
| 2017 | End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks. Minje Choi, Sehun Jeong, Hakjoo Oh, Jaegul Choo |
| 2017 | End-to-end optimization of goal-driven and visually grounded dialogue systems. Florian Strub, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron C. Courville, Olivier Pietquin |
| 2017 | Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective. Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen |
| 2017 | Enhancing Crowdworkers' Vigilance. Avshalom Elmalech, David Sarne, Esther David, Chen Hajaj |
| 2017 | Enhancing Sustainability of Complex Epidemiological Models through a Generic Multilevel Agent-based Approach. Sébastien Picault, Yu-Lin Huang, Vianney Sicard, Pauline Ezanno |
| 2017 | Enhancing the Unified Features to Locate Buggy Files by Exploiting the Sequential Nature of Source Code. Xuan Huo, Ming Li |
| 2017 | Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling. Christopher De Sa, Kunle Olukotun, Christopher Ré |
| 2017 | Entity Suggestion with Conceptual Expanation. Yi Zhang, Yanghua Xiao, Seung-won Hwang, Haixun Wang, X. Sean Wang, Wei Wang |
| 2017 | Epistemic-entrenchment Characterization of Parikh's Axiom. Theofanis I. Aravanis, Pavlos Peppas, Mary-Anne Williams |
| 2017 | Equi-Reward Utility Maximizing Design in Stochastic Environments. Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein |
| 2017 | Equilibria in Ordinal Games: A Framework based on Possibility Theory. Nahla Ben Amor, Hélène Fargier, Régis Sabbadin |
| 2017 | Estimating the size of search trees by sampling with domain knowledge. Gleb Belov, Samuel Esler, Dylan Fernando, Pierre Le Bodic, George L. Nemhauser |
| 2017 | Evaluating Epistemic Negation in Answer Set Programming (Extended Abstract). Yi-Dong Shen, Thomas Eiter |
| 2017 | Evaluating Market User Interfaces for Electric Vehicle Charging using Bid2Charge. Sebastian Stein, Enrico H. Gerding, Adrian Nedea, Avi Rosenfeld, Nicholas R. Jennings |
| 2017 | Exclusivity Regularized Machine: A New Ensemble SVM Classifier. Xiaojie Guo, Xiaobo Wang, Haibin Ling |
| 2017 | Exemplar-centered Supervised Shallow Parametric Data Embedding. Martin Renqiang Min, Hongyu Guo, Dongjin Song |
| 2017 | Explicit Knowledge-based Reasoning for Visual Question Answering. Peng Wang, Qi Wu, Chunhua Shen, Anthony R. Dick, Anton van den Hengel |
| 2017 | Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract). Stefano V. Albrecht, Subramanian Ramamoorthy |
| 2017 | Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning. Yong Luo, Dacheng Tao, Yonggang Wen |
| 2017 | Exploiting Music Play Sequence for Music Recommendation. Zhiyong Cheng, Jialie Shen, Lei Zhu, Mohan S. Kankanhalli, Liqiang Nie |
| 2017 | Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models. Nan Jiang, Wenge Rong, Min Gao, Yikang Shen, Zhang Xiong |
| 2017 | Exploring Personalized Neural Conversational Models. Satwik Kottur, Xiaoyu Wang, Vítor Carvalho |
| 2017 | Extracting Visual Knowledge from the Web with Multimodal Learning. Dihong Gong, Daisy Zhe Wang |
| 2017 | Factorized Asymptotic Bayesian Policy Search for POMDPs. Masaaki Imaizumi, Ryohei Fujimaki |
| 2017 | Fair Allocation based on Diminishing Differences. Erel Segal-Halevi, Haris Aziz, Avinatan Hassidim |
| 2017 | Fair Division of a Graph. Sylvain Bouveret, Katarína Cechlárová, Edith Elkind, Ayumi Igarashi, Dominik Peters |
| 2017 | Fair and Efficient Social Choice in Dynamic Settings. Rupert Freeman, Seyed Majid Zahedi, Vincent Conitzer |
| 2017 | Fashion Style Generator. Shuhui Jiang, Yun Fu |
| 2017 | Fast Change Point Detection on Dynamic Social Networks. Yu Wang, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy |
| 2017 | Fast Network Embedding Enhancement via High Order Proximity Approximation. Cheng Yang, Maosong Sun, Zhiyuan Liu, Cunchao Tu |
| 2017 | Fast Parallel Training of Neural Language Models. Tong Xiao, Jingbo Zhu, Tongran Liu, Chunliang Zhang |
| 2017 | Fast Preprocessing for Robust Face Sketch Synthesis. Yibing Song, Jiawei Zhang, Linchao Bao, Qingxiong Yang |
| 2017 | Fast Recursive Low-rank Tensor Learning for Regression. Ming Hou, Brahim Chaib-draa |
| 2017 | Fast SVM Trained by Divide-and-Conquer Anchors. Meng Liu, Chang Xu, Chao Xu, Dacheng Tao |
| 2017 | Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization. Ivan Stojkovic, Vladisav Jelisavcic, Veljko Milutinovic, Zoran Obradovic |
| 2017 | Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization. Yue Yu, Longbo Huang |
| 2017 | Faster Conflict Generation for Dynamic Controllability. Nikhil Bhargava, Tiago Stegun Vaquero, Brian C. Williams |
| 2017 | Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines. Jinglin Xu, Feiping Nie, Junwei Han |
| 2017 | Finding Prototypes of Answers for Improving Answer Sentence Selection. Wai Lok Tam, Namgi Han, Juan Ignacio Navarro-Horñiacek, Yusuke Miyao |
| 2017 | Finding Robust Solutions to Stable Marriage. Begum Genc, Mohamed Siala, Barry O'Sullivan, Gilles Simonin |
| 2017 | First-Order Modular Logic Programs and their Conservative Extensions (Extended Abstract). Amelia Harrison, Yuliya Lierler |
| 2017 | Flexible Orthogonal Neighborhood Preserving Embedding. Tianji Pang, Feiping Nie, Junwei Han |
| 2017 | Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex. Chao Gao, Martin Müller, Ryan Hayward |
| 2017 | FolkPopularityRank: Tag Recommendation for Enhancing Social Popularity using Text Tags in Content Sharing Services. Toshihiko Yamasaki, Jiani Hu, Shumpei Sano, Kiyoharu Aizawa |
| 2017 | Forecast the Plausible Paths in Crowd Scenes. Hang Su, Jun Zhu, Yinpeng Dong, Bo Zhang |
| 2017 | Foundations of Declarative Data Analysis Using Limit Datalog Programs. Mark Kaminski, Bernardo Cuenca Grau, Egor V. Kostylev, Boris Motik, Ian Horrocks |
| 2017 | From Automation to Autonomous Systems: A Legal Phenomenology with Problems of Accountability. Ugo Pagallo |
| 2017 | From Decimation to Local Search and Back: A New Approach to MaxSAT. Shaowei Cai, Chuan Luo, Haochen Zhang |
| 2017 | From Ensemble Clustering to Multi-View Clustering. Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu |
| 2017 | From Neural Sentence Summarization to Headline Generation: A Coarse-to-Fine Approach. Jiwei Tan, Xiaojun Wan, Jianguo Xiao |
| 2017 | From Qualitative to Quantitative Dominance Pruning for Optimal Planning. Álvaro Torralba |
| 2017 | Front-to-End Bidirectional Heuristic Search with Near-Optimal Node Expansions. Jingwei Chen, Robert C. Holte, Sandra Zilles, Nathan R. Sturtevant |
| 2017 | Further Results on Predicting Cognitive Abilities for Adaptive Visualizations. Cristina Conati, Sébastien Lallé, Md. Abed Rahman, Dereck Toker |
| 2017 | Fuzzy Logic Model for Digital Forensics: A Trade-off between Accuracy, Complexity and Interpretability. Andrii Shalaginov |
| 2017 | GDL-III: A Description Language for Epistemic General Game Playing. Michael Thielscher |
| 2017 | Game Engine Learning from Video. Matthew Guzdial, Boyang Li, Mark O. Riedl |
| 2017 | Game Theoretic Analysis of Security and Sustainability. Bo An |
| 2017 | General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer. Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao |
| 2017 | Generalized Planning: Non-Deterministic Abstractions and Trajectory Constraints. Blai Bonet, Giuseppe De Giacomo, Hector Geffner, Sasha Rubin |
| 2017 | Generalized Target Assignment and Path Finding Using Answer Set Programming. Van Nguyen, Philipp Obermeier, Tran Cao Son, Torsten Schaub, William Yeoh |
| 2017 | Generating Context-Free Grammars using Classical Planning. Javier Segovia-Aguas, Sergio Jiménez Celorrio, Anders Jonsson |
| 2017 | Generating Hard Random Boolean Formulas and Disjunctive Logic Programs. Giovanni Amendola, Francesco Ricca, Miroslaw Truszczynski |
| 2017 | Generating Models of a Matched Formula With a Polynomial Delay (Extended Abstract). Petr Savický, Petr Kucera |
| 2017 | Global-residual and Local-boundary Refinement Networks for Rectifying Scene Parsing Predictions. Rui Zhang, Sheng Tang, Min Lin, Jintao Li, Shuicheng Yan |
| 2017 | Grounding Abstract Spatial Concepts for Language Interaction with Robots. Rohan Paul, Jacob Arkin, Nicholas Roy, Thomas M. Howard |
| 2017 | Grounding of Human Environments and Activities for Autonomous Robots. Muhannad Al-Omari, Paul Duckworth, Nils Bore, Majd Hawasly, David C. Hogg, Anthony G. Cohn |
| 2017 | Group-wise Deep Co-saliency Detection. Lina Wei, Shanshan Zhao, Omar El Farouk Bourahla, Xi Li, Fei Wu |
| 2017 | Handling Noise in Boolean Matrix Factorization. Radim Belohlávek, Martin Trnecka |
| 2017 | Handling non-local dead-ends in Agent Planning Programs. Lukás Chrpa, Nir Lipovetzky, Sebastian Sardiña |
| 2017 | Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network. Qi Zhang, Jiawen Wang, Haoran Huang, Xuanjing Huang, Yeyun Gong |
| 2017 | Heuristic Online Goal Recognition in Continuous Domains. Mor Vered, Gal A. Kaminka |
| 2017 | Hierarchical Feature Selection with Recursive Regularization. Hong Zhao, Pengfei Zhu, Ping Wang, Qinghua Hu |
| 2017 | Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning. Jingkuan Song, Lianli Gao, Zhao Guo, Wu Liu, Dongxiang Zhang, Heng Tao Shen |
| 2017 | Hierarchical Task Network Planning with Task Insertion and State Constraints. Zhanhao Xiao, Andreas Herzig, Laurent Perrussel, Hai Wan, Xiaoheng Su |
| 2017 | High Dimensional Bayesian Optimization using Dropout. Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Alistair Shilton |
| 2017 | How Unlabeled Web Videos Help Complex Event Detection? Huan Liu, Qinghua Zheng, Minnan Luo, Dingwen Zhang, Xiaojun Chang, Cheng Deng |
| 2017 | How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval. Rodrigo Toro Icarte, Jorge A. Baier, Cristian Ruz, Alvaro Soto |
| 2017 | How to Form Winning Coalitions in Mixed Human-Computer Settings. Yair Zick, Kobi Gal, Yoram Bachrach, Moshe Mash |
| 2017 | How to Keep a Knowledge Base Synchronized with Its Encyclopedia Source. Jiaqing Liang, Sheng Zhang, Yanghua Xiao |
| 2017 | Human-Centric Justification of Machine Learning Predictions. Or Biran, Kathleen R. McKeown |
| 2017 | Human-Like Agents for Repeated Negotiation. Johnathan Mell |
| 2017 | Hybrid Neural Networks for Learning the Trend in Time Series. Tao Lin, Tian Guo, Karl Aberer |
| 2017 | I-dual: Solving Constrained SSPs via Heuristic Search in the Dual Space. Felipe W. Trevizan, Sylvie Thiébaux, Pedro Henrique Santana, Brian C. Williams |
| 2017 | Identifying Human Mobility via Trajectory Embeddings. Qiang Gao, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Xucheng Luo, Fengli Zhang |
| 2017 | Image Gradient-based Joint Direct Visual Odometry for Stereo Camera. Jianke Zhu |
| 2017 | Image Matching via Loopy RNN. Donghao Luo, Bingbing Ni, Yichao Yan, Xiaokang Yang |
| 2017 | Image-embodied Knowledge Representation Learning. Ruobing Xie, Zhiyuan Liu, Huanbo Luan, Maosong Sun |
| 2017 | Importance-Aware Semantic Segmentation for Autonomous Driving System. Bike Chen, Chen Gong, Jian Yang |
| 2017 | Improved Bounded Matrix Completion for Large-Scale Recommender Systems. Huang Fang, Zhen Zhang, Yiqun Shao, Cho-Jui Hsieh |
| 2017 | Improved Deep Embedded Clustering with Local Structure Preservation. Xifeng Guo, Long Gao, Xinwang Liu, Jianping Yin |
| 2017 | Improved Neural Machine Translation with Source Syntax. Shuangzhi Wu, Ming Zhou, Dongdong Zhang |
| 2017 | Improved Strong Worst-case Upper Bounds for MDP Planning. Anchit Gupta, Shivaram Kalyanakrishnan |
| 2017 | Improving Classification Accuracy of Feedforward Neural Networks for Spiking Neuromorphic Chips. Antonio Jimeno-Yepes, Jianbin Tang, Benjamin Scott Mashford |
| 2017 | Improving Group Decision-Making by Artificial Intelligence. Lirong Xia |
| 2017 | Improving Learning-from-Crowds through Expert Validation. Mengchen Liu, Liu Jiang, Junlin Liu, Xiting Wang, Jun Zhu, Shixia Liu |
| 2017 | Improving Reinforcement Learning with Confidence-Based Demonstrations. Zhaodong Wang, Matthew E. Taylor |
| 2017 | Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic. Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao |
| 2017 | Improving the Generalization Performance of Multi-class SVM via Angular Regularization. Jianxin Li, Haoyi Zhou, Pengtao Xie, Yingchun Zhang |
| 2017 | Incomplete Attribute Learning with auxiliary labels. Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen |
| 2017 | Incomplete Label Distribution Learning. Miao Xu, Zhi-Hua Zhou |
| 2017 | Incremental Decision Making Under Risk with the Weighted Expected Utility Model. Hugo Gilbert, Nawal Benabbou, Patrice Perny, Olivier Spanjaard, Paolo Viappiani |
| 2017 | Incremental Matrix Factorization: A Linear Feature Transformation Perspective. Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang |
| 2017 | Induction of Interpretable Possibilistic Logic Theories from Relational Data. Ondrej Kuzelka, Jesse Davis, Steven Schockaert |
| 2017 | Inferring Human Attention by Learning Latent Intentions. Ping Wei, Dan Xie, Nanning Zheng, Song-Chun Zhu |
| 2017 | Inferring Implicit Event Locations from Context with Distributional Similarities. Jin-Woo Chung, Wonsuk Yang, Jinseon You, Jong-Chan Park |
| 2017 | Instability Prediction in Power Systems using Recurrent Neural Networks. Ankita Gupta, Gurunath Gurrala, Pidaparthy S. Sastry |
| 2017 | Instance-Level Label Propagation with Multi-Instance Learning. Qifan Wang, Gal Chechik, Chen Sun, Bin Shen |
| 2017 | Integrating Answer Set Programming with Semantic Dictionaries for Robot Task Planning. Dongcai Lu, Yi Zhou, Feng Wu, Zhao Zhang, Xiaoping Chen |
| 2017 | Integrating Specialized Classifiers Based on Continuous Time Markov Chain. Zhizhong Li, Dahua Lin |
| 2017 | Intelligent Belief State Sampling for Conformant Planning. Alban Grastien, Enrico Scala |
| 2017 | Interaction-based ontology alignment repair with expansion and relaxation. Jérôme Euzenat |
| 2017 | Interactive Attention Networks for Aspect-Level Sentiment Classification. Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang |
| 2017 | Interactive Image Segmentation via Pairwise Likelihood Learning. Tao Wang, Quan-Sen Sun, Qi Ge, Zexuan Ji, Qiang Chen, Guiyu Xia |
| 2017 | Interactive Narrative Personalization with Deep Reinforcement Learning. Pengcheng Wang, Jonathan P. Rowe, Wookhee Min, Bradford W. Mott, James C. Lester |
| 2017 | Intuitionistic Layered Graph Logic. Simon Docherty, David J. Pym |
| 2017 | Inverse Covariance Estimation with Structured Groups. Shaozhe Tao, Yifan Sun, Daniel Boley |
| 2017 | Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data. Tengfei Ma, Tetsuya Nasukawa |
| 2017 | Is My Object in This Video? Reconstruction-based Object Search in Videos. Tan Yu, Jingjing Meng, Junsong Yuan |
| 2017 | Iterative Entity Alignment via Joint Knowledge Embeddings. Hao Zhu, Ruobing Xie, Zhiyuan Liu, Maosong Sun |
| 2017 | JM-Net and Cluster-SVM for Aerial Scene Classification. Xiaoqiang Lu, Yuan Yuan, Jie Fang |
| 2017 | Joint Capped Norms Minimization for Robust Matrix Recovery. Feiping Nie, Zhouyuan Huo, Heng Huang |
| 2017 | Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network. Jufeng Yang, Dongyu She, Ming Sun |
| 2017 | Joint Learning on Relevant User Attributes in Micro-blog. Jingjing Wang, Shoushan Li, Guodong Zhou |
| 2017 | Joint Training for Pivot-based Neural Machine Translation. Yong Cheng, Qian Yang, Yang Liu, Maosong Sun, Wei Xu |
| 2017 | KSP: A Resolution-based Prover for Multimodal K, Abridged Report. Cláudia Nalon, Ullrich Hustadt, Clare Dixon |
| 2017 | Knowledge Engineering for Intelligent Decision Support. Maria Vanina Martinez |
| 2017 | Knowledge Graph Representation with Jointly Structural and Textual Encoding. Jiacheng Xu, Xipeng Qiu, Kan Chen, Xuanjing Huang |
| 2017 | Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach. Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, Yuji Matsumoto |
| 2017 | LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity. Bidisha Samanta, Abir De, Abhijnan Chakraborty, Niloy Ganguly |
| 2017 | Landmarks for Numeric Planning Problems. Enrico Scala, Patrik Haslum, Daniele Magazzeni, Sylvie Thiébaux |
| 2017 | Large-scale Online Kernel Learning with Random Feature Reparameterization. Tu Dinh Nguyen, Trung Le, Hung Bui, Dinh Q. Phung |
| 2017 | Large-scale Subspace Clustering by Fast Regression Coding. Jun Li, Handong Zhao, Zhiqiang Tao, Yun Fu |
| 2017 | Lazy-Grounding for Answer Set Programs with External Source Access. Thomas Eiter, Tobias Kaminski, Antonius Weinzierl |
| 2017 | Learning Co-Substructures by Kernel Dependence Maximization. Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui |
| 2017 | Learning Concise Representations of Users' Influences through Online Behaviors. Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao |
| 2017 | Learning Conversational Systems that Interleave Task and Non-Task Content. Zhou Yu, Alexander I. Rudnicky, Alan W. Black |
| 2017 | Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation. Yuguang Yan, Wen Li, Michael K. P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu |
| 2017 | Learning Discriminative Recommendation Systems with Side Information. Feipeng Zhao, Yuhong Guo |
| 2017 | Learning Feature Engineering for Classification. Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak S. Turaga |
| 2017 | Learning Hedonic Games. Jakub Sliwinski, Yair Zick |
| 2017 | Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection. Guansong Pang, Longbing Cao, Ling Chen, Huan Liu |
| 2017 | Learning Latest Classifiers without Additional Labeled Data. Atsutoshi Kumagai, Tomoharu Iwata |
| 2017 | Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps. Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang |
| 2017 | Learning Multi-faceted Knowledge Graph Embeddings for Natural Language Processing. Muhao Chen, Carlo Zaniolo |
| 2017 | Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation. Tong Shen, Guosheng Lin, Chunhua Shen, Ian D. Reid |
| 2017 | Learning Sentence Representation with Guidance of Human Attention. Shaonan Wang, Jiajun Zhang, Chengqing Zong |
| 2017 | Learning Sparse Representations in Reinforcement Learning with Sparse Coding. Lei Le, Raksha Kumaraswamy, Martha White |
| 2017 | Learning User Dependencies for Recommendation. Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li |
| 2017 | Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach. Huayu Li, Yong Ge, Defu Lian, Hao Liu |
| 2017 | Learning a Ground Truth Ranking Using Noisy Approval Votes. Ioannis Caragiannis, Evi Micha |
| 2017 | Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach. Vahid Jalali, David Leake, Najmeh Forouzandehmehr |
| 2017 | Learning deep structured network for weakly supervised change detection. Salman Hameed Khan, Xuming He, Fatih Porikli, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri |
| 2017 | Learning from Data Heterogeneity: Algorithms and Applications. Jingrui He |
| 2017 | Learning from Demonstrations with High-Level Side Information. Min Wen, Ivan Papusha, Ufuk Topcu |
| 2017 | Learning from Ontology Streams with Semantic Concept Drift. Jiaoyan Chen, Freddy Lécué, Jeff Z. Pan, Huajun Chen |
| 2017 | Learning to Explain Entity Relationships by Pairwise Ranking with Convolutional Neural Networks. Jizhou Huang, Wei Zhang, Shiqi Zhao, Shiqiang Ding, Haifeng Wang |
| 2017 | Learning to Hallucinate Face Images via Component Generation and Enhancement. Yibing Song, Jiawei Zhang, Shengfeng He, Linchao Bao, Qingxiong Yang |
| 2017 | Learning to Identify Ambiguous and Misleading News Headlines. Wei Wei, Xiaojun Wan |
| 2017 | Learning to Learn Programs from Examples: Going Beyond Program Structure. Kevin Ellis, Sumit Gulwani |
| 2017 | Learning to Read Irregular Text with Attention Mechanisms. Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, C. Lee Giles |
| 2017 | Learning to Run Heuristics in Tree Search. Elias B. Khalil, Bistra Dilkina, George L. Nemhauser, Shabbir Ahmed, Yufen Shao |
| 2017 | Learning with Previously Unseen Features. Yuan Shi, Craig A. Knoblock |
| 2017 | Learning-Based Abstractions for Nonlinear Constraint Solving. Sumanth Dathathri, Nikos Aréchiga, Sicun Gao, Richard M. Murray |
| 2017 | Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems. Clemens Eppner, Sebastian Höfer, Rico Jonschkowski, Roberto Martín-Martín, Arne Sieverling, Vincent Wall, Oliver Brock |
| 2017 | Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects. Ariel Rosenfeld, Matthew E. Taylor, Sarit Kraus |
| 2017 | Lexical Sememe Prediction via Word Embeddings and Matrix Factorization. Ruobing Xie, Xingchi Yuan, Zhiyuan Liu, Maosong Sun |
| 2017 | Lexicons on Demand: Neural Word Embeddings for Large-Scale Text Analysis. Ethan Fast, Binbin Chen, Michael S. Bernstein |
| 2017 | Libratus: The Superhuman AI for No-Limit Poker. Noam Brown, Tuomas Sandholm |
| 2017 | Life-Stage Modeling by Customer-Manifold Embedding. Jing-Wen Yang, Yang Yu, Xiao-Peng Zhang |
| 2017 | Limbo: A Reasoning System for Limited Belief. Christoph Schwering |
| 2017 | Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction. Kai Xiong, Feiping Nie, Junwei Han |
| 2017 | Link Prediction via Ranking Metric Dual-Level Attention Network Learning. Zhou Zhao, Ben Gao, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang |
| 2017 | Link Prediction with Spatial and Temporal Consistency in Dynamic Networks. Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang |
| 2017 | LoCaTe: Influence Quantification for Location Promotion in Location-based Social Networks. Ankita Likhyani, Srikanta Bedathur, Deepak P |
| 2017 | Local Search for Minimum Weight Dominating Set with Two-Level Configuration Checking and Frequency Based Scoring Function (Extended Abstract). Yiyuan Wang, Shaowei Cai, Minghao Yin |
| 2017 | Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization. Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy |
| 2017 | Locality Adaptive Discriminant Analysis. Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang |
| 2017 | Locality Constrained Deep Supervised Hashing for Image Retrieval. Hao Zhu, Shenghua Gao |
| 2017 | Locality Preserving Matching. Jiayi Ma, Ji Zhao, Hanqi Guo, Junjun Jiang, Huabing Zhou, Yuan Gao |
| 2017 | Locality Preserving Projections for Grassmann manifold. Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Muhammad Ali, Baocai Yin |
| 2017 | Locality in Random SAT Instances. Jesús Giráldez-Cru, Jordi Levy |
| 2017 | Locally Consistent Bayesian Network Scores for Multi-Relational Data. Oliver Schulte, Sajjad Gholami |
| 2017 | Locally Linear Factorization Machines. Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun |
| 2017 | Logic Tensor Networks for Semantic Image Interpretation. Ivan Donadello, Luciano Serafini, Artur S. d'Avila Garcez |
| 2017 | Logic meets Probability: Towards Explainable AI Systems for Uncertain Worlds. Vaishak Belle |
| 2017 | Logic on MARS: Ontologies for Generalised Property Graphs. Maximilian Marx, Markus Krötzsch, Veronika Thost |
| 2017 | Logistic Markov Decision Processes. Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu |
| 2017 | Lossy Compression of Pattern Databases Using Acyclic Random Hypergraphs. Mehdi Sadeqi, Howard J. Hamilton |
| 2017 | MAM-RNN: Multi-level Attention Model Based RNN for Video Captioning. Xuelong Li, Bin Zhao, Xiaoqiang Lu |
| 2017 | MAT: A Multimodal Attentive Translator for Image Captioning. Chang Liu, Fuchun Sun, Changhu Wang, Feng Wang, Alan L. Yuille |
| 2017 | ME-MD: An Effective Framework for Neural Machine Translation with Multiple Encoders and Decoders. Jinchao Zhang, Qun Liu, Jie Zhou |
| 2017 | MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation. Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen, Chi Xu |
| 2017 | Machine Learning Techniques for MultiAgent Systems. Yoad Lewenberg |
| 2017 | Maintaining Communication in Multi-Robot Tree Coverage. Mor Sinay, Noa Agmon, Oleg Maksimov, Sarit Kraus, David Peleg |
| 2017 | Making Cross Products and Guarded Ontology Languages Compatible. Pierre Bourhis, Michael Morak, Andreas Pieris |
| 2017 | Manipulating Gale-Shapley Algorithm: Preserving Stability and Remaining Inconspicuous. Rohit Vaish, Dinesh Garg |
| 2017 | Manipulating Opinion Diffusion in Social Networks. Robert Bredereck, Edith Elkind |
| 2017 | Mapping Repair in Ontology-based Data Access Evolving Systems. Domenico Lembo, Riccardo Rosati, Valerio Santarelli, Domenico Fabio Savo, Evgenij Thorstensen |
| 2017 | Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information. Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe |
| 2017 | Maximum Expected Likelihood Estimation for Zero-resource Neural Machine Translation. Hao Zheng, Yong Cheng, Yang Liu |
| 2017 | Measuring the Intensity of Attacks in Argumentation Graphs with Shapley Value. Leila Amgoud, Jonathan Ben-Naim, Srdjan Vesic |
| 2017 | Mechanism Design for Strategic Project Scheduling. Pradeep Varakantham, Na Fu |
| 2017 | Mechanisms for Online Organ Matching. Nicholas Mattei, Abdallah Saffidine, Toby Walsh |
| 2017 | Mention Recommendation for Twitter with End-to-end Memory Network. Haoran Huang, Qi Zhang, Xuanjing Huang |
| 2017 | Microblog Sentiment Classification via Recurrent Random Walk Network Learning. Zhou Zhao, Hanqing Lu, Deng Cai, Xiaofei He, Yueting Zhuang |
| 2017 | Mining Convex Polygon Patterns with Formal Concept Analysis. Aimene Belfodil, Sergei O. Kuznetsov, Céline Robardet, Mehdi Kaytoue |
| 2017 | Modal Consistency based Pre-Trained Multi-Model Reuse. Yang Yang, De-Chuan Zhan, Xiang-Yu Guo, Yuan Jiang |
| 2017 | Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study. Suyog Gupta, Wei Zhang, Fei Wang |
| 2017 | Model Checking Multi-Agent Systems against LDLK Specifications. Jeremy Kong, Alessio Lomuscio |
| 2017 | Modeling Bias Reduction Strategies in a Biased Agent. Jaelle Scheuerman, Dina M. Acklin |
| 2017 | Modeling Hebb Learning Rule for Unsupervised Learning. Jia Liu, Maoguo Gong, Qiguang Miao |
| 2017 | Modeling Physicians' Utterances to Explore Diagnostic Decision-making. Xuan Guo, Rui Li, Qi Yu, Anne R. Haake |
| 2017 | Modeling Trajectories with Recurrent Neural Networks. Hao Wu, Ziyang Chen, Weiwei Sun, Baihua Zheng, Wei Wang |
| 2017 | Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression. Pasan Karunaratne, Masud Moshtaghi, Shanika Karunasekera, Aaron Harwood, Trevor Cohn |
| 2017 | Most Probable Explanations for Probabilistic Database Queries. Ismail Ilkan Ceylan, Stefan Borgwardt, Thomas Lukasiewicz |
| 2017 | Multi-Agent Planning with Baseline Regret Minimization. Feng Wu, Shlomo Zilberstein, Xiaoping Chen |
| 2017 | Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games. Dave Mobley |
| 2017 | Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang |
| 2017 | Multi-Component Nonnegative Matrix Factorization. Jing Wang, Feng Tian, Xiao Wang, Hongchuan Yu, Chang Hong Liu, Liang Yang |
| 2017 | Multi-Instance Learning with Key Instance Shift. Ya-Lin Zhang, Zhi-Hua Zhou |
| 2017 | Multi-Modal Word Synset Induction. Jesse Thomason, Raymond J. Mooney |
| 2017 | Multi-Positive and Unlabeled Learning. Yixing Xu, Chang Xu, Chao Xu, Dacheng Tao |
| 2017 | Multi-Stream Deep Similarity Learning Networks for Visual Tracking. Kunpeng Li, Yu Kong, Yun Fu |
| 2017 | Multi-Task Deep Reinforcement Learning for Continuous Action Control. Zhaoyang Yang, Kathryn E. Merrick, Hussein A. Abbass, Lianwen Jin |
| 2017 | Multi-Type Activity Recognition from a Robot's Viewpoint. Ilaria Gori, J. K. Aggarwal, Larry H. Matthies, Michael S. Ryoo |
| 2017 | Multi-instance multi-label active learning. Sheng-Jun Huang, Nengneng Gao, Songcan Chen |
| 2017 | Multi-view Feature Learning with Discriminative Regularization. Jinglin Xu, Junwei Han, Feiping Nie |
| 2017 | Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment. Muhao Chen, Yingtao Tian, Mohan Yang, Carlo Zaniolo |
| 2017 | Multimodal Linear Discriminant Analysis via Structural Sparsity. Yu Zhang, Yuan Jiang |
| 2017 | Multimodal News Article Analysis. Arnau Ramisa |
| 2017 | Multimodal Storytelling via Generative Adversarial Imitation Learning. Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu |
| 2017 | Multiple Indefinite Kernel Learning for Feature Selection. Hui Xue, Yu Song, Haiming Xu |
| 2017 | Multiple Kernel Clustering Framework with Improved Kernels. Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li |
| 2017 | Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization. Yangtao Wang, Lihui Chen, Xiaoli Li |
| 2017 | Multiple-Profile Prediction-of-Use Games. Andrew Perrault, Craig Boutilier |
| 2017 | Multiple-Weight Recurrent Neural Networks. Zhu Cao, Linlin Wang, Gerard de Melo |
| 2017 | Multiwinner Rules on Paths From k-Borda to Chamberlin-Courant. Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Nimrod Talmon |
| 2017 | Name Nationality Classification with Recurrent Neural Networks. Jinhyuk Lee, Hyunjae Kim, Miyoung Ko, Donghee Choi, Jaehoon Choi, Jaewoo Kang |
| 2017 | Nash Equilibria in Concurrent Games with Lexicographic Preferences. Julian Gutierrez, Aniello Murano, Giuseppe Perelli, Sasha Rubin, Michael J. Wooldridge |
| 2017 | Near-Feasible Stable Matchings with Budget Constraints. Yasushi Kawase, Atsushi Iwasaki |
| 2017 | Networked Fairness in Cake Cutting. Xiaohui Bei, Youming Qiao, Shengyu Zhang |
| 2017 | Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World. Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurélie C. Lozano |
| 2017 | New Canonical Representations by Augmenting OBDDs with Conjunctive Decomposition (Extended Abstract). Yong Lai, Dayou Liu, Minghao Yin |
| 2017 | New Metrics and Algorithms for Stochastic Goal Recognition Design Problems. Christabel Wayllace, Ping Hou, William Yeoh |
| 2017 | News Across Languages - Cross-Lingual Document Similarity and Event Tracking (Extended Abstract). Jan Rupnik, Andrej Muhic, Gregor Leban, Blaz Fortuna, Marko Grobelnik |
| 2017 | No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously. Xiaojin Zhu, Ji Liu, Manuel Lopes |
| 2017 | No Pizza for You: Value-based Plan Selection in BDI Agents. Stephen Cranefield, Michael Winikoff, Virginia Dignum, Frank Dignum |
| 2017 | No Time to Observe: Adaptive Influence Maximization with Partial Feedback. Jing Yuan, Shaojie Tang |
| 2017 | Non-Determinism and the Dynamics of Knowledge. Davide Grossi, Andreas Herzig, Wiebe van der Hoek, Christos Moyzes |
| 2017 | Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming. Buser Say, Ga Wu, Yu Qing Zhou, Scott Sanner |
| 2017 | Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long |
| 2017 | Nonparametric Online Machine Learning with Kernels. Khanh Nguyen |
| 2017 | Numeric Planning via Abstraction and Policy Guided Search. Leon Illanes, Sheila A. McIlraith |
| 2017 | Object Allocation via Swaps along a Social Network. Laurent Gourvès, Julien Lesca, Anaëlle Wilczynski |
| 2017 | Object Detection Meets Knowledge Graphs. Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar |
| 2017 | Object Recognition with and without Objects. Zhuotun Zhu, Lingxi Xie, Alan L. Yuille |
| 2017 | Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing. Wei Wang, Xiang-Yu Guo, Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou |
| 2017 | Omniscient Debugging for Cognitive Agent Programs. Vincent J. Koeman, Koen V. Hindriks, Catholijn M. Jonker |
| 2017 | Omniscient Debugging for GOAL Agents in Eclipse (Demonstration). Vincent J. Koeman, Koen V. Hindriks, Catholijn M. Jonker |
| 2017 | On Automating the Doctrine of Double Effect. Naveen Sundar Govindarajulu, Selmer Bringsjord |
| 2017 | On Coalitional Manipulation for Multiwinner Elections: Shortlisting. Robert Bredereck, Andrzej Kaczmarczyk, Rolf Niedermeier |
| 2017 | On Computing World Views of Epistemic Logic Programs. Tran Cao Son, Tiep Le, Patrick Thor Kahl, Anthony P. Leclerc |
| 2017 | On Creating Complementary Pattern Databases. Santiago Franco, Álvaro Torralba, Levi H. S. Lelis, Mike Barley |
| 2017 | On Gleaning Knowledge from Multiple Domains for Active Learning. Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Ruimin Hu, Dacheng Tao |
| 2017 | On Minimum Representations of Matched Formulas (Extended Abstract). Ondrej Cepek, Stefan Gurský, Petr Kucera |
| 2017 | On Neighborhood Singleton Consistencies. Anastasia Paparrizou, Kostas Stergiou |
| 2017 | On Querying Incomplete Information in Databases under Bag Semantics. Marco Console, Paolo Guagliardo, Leonid Libkin |
| 2017 | On Redundant Topological Constraints (Extended Abstract). Sanjiang Li, Zhiguo Long, Weiming Liu, Matt Duckham, Alan Both |
| 2017 | On Subset Selection with General Cost Constraints. Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang |
| 2017 | On Thompson Sampling and Asymptotic Optimality. Jan Leike, Tor Lattimore, Laurent Orseau, Marcus Hutter |
| 2017 | On the Complexity and Expressiveness of Automated Planning Languages Supporting Temporal Reasoning. Nicola Gigante |
| 2017 | On the Complexity of Enumerating the Extensions of Abstract Argumentation Frameworks. Markus Kröll, Reinhard Pichler, Stefan Woltran |
| 2017 | On the Complexity of Learning from Label Proportions. Benjamin Fish, Lev Reyzin |
| 2017 | On the Computational Complexity of Gossip Protocols. Krzysztof R. Apt, Eryk Kopczynski, Dominik Wojtczak |
| 2017 | On the Expressivity of Inconsistency Measures (Extended Abstract). Matthias Thimm |
| 2017 | On the Kernelization of Global Constraints. Clément Carbonnel, Emmanuel Hebrard |
| 2017 | On the Power and Limitations of Deception in Multi-Robot Adversarial Patrolling. Noga Talmor, Noa Agmon |
| 2017 | Online Algorithm Selection. Hans Degroote |
| 2017 | Online Bridged Pruning for Real-Time Search with Arbitrary Lookaheads. Carlos Hernández, Adi Botea, Jorge A. Baier, Vadim Bulitko |
| 2017 | Online Decision-Making for Scalable Autonomous Systems. Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein |
| 2017 | Online Multitask Relative Similarity Learning. Shuji Hao, Peilin Zhao, Yong Liu, Steven C. H. Hoi, Chunyan Miao |
| 2017 | Online Optimization of Video-Ad Allocation. Hanna Sumita, Yasushi Kawase, Sumio Fujita, Takuro Fukunaga |
| 2017 | Online Reputation Fraud Campaign Detection in User Ratings. Chang Xu, Jie Zhang, Zhu Sun |
| 2017 | Online Robust Low-Rank Tensor Learning. Ping Li, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan |
| 2017 | Online Roommate Allocation Problem. Guangda Huzhang, Xin Huang, Shengyu Zhang, Xiaohui Bei |
| 2017 | Ontology-Mediated Query Answering for Key-Value Stores. Meghyn Bienvenu, Pierre Bourhis, Marie-Laure Mugnier, Sophie Tison, Federico Ulliana |
| 2017 | Ontology-Mediated Querying with the Description Logic EL: Trichotomy and Linear Datalog Rewritability. Carsten Lutz, Leif Sabellek |
| 2017 | Open Category Classification by Adversarial Sample Generation. Yang Yu, Wei-Yang Qu, Nan Li, Zimin Guo |
| 2017 | Open-World Probabilistic Databases: An Abridged Report. Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck |
| 2017 | Operation Frames and Clubs in Kidney Exchange. Gabriele Farina, John P. Dickerson, Tuomas Sandholm |
| 2017 | Operationalizing Operational Logics: Semiotic Knowledge Representations for Interactive Systems. Joseph C. Osborn |
| 2017 | Opinion-aware Knowledge Graph for Political Ideology Detection. Wei Chen, Xiao Zhang, Tengjiao Wang, Bishan Yang, Yi Li |
| 2017 | Optimal Escape Interdiction on Transportation Networks. Youzhi Zhang, Bo An, Long Tran-Thanh, Zhen Wang, Jiarui Gan, Nicholas R. Jennings |
| 2017 | Optimal Feature Selection for Decision Robustness in Bayesian Networks. YooJung Choi, Adnan Darwiche, Guy Van den Broeck |
| 2017 | Optimal Posted-Price Mechanism in Microtask Crowdsourcing. Zehong Hu, Jie Zhang |
| 2017 | Optimizing Ratio of Monotone Set Functions. Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou |
| 2017 | Order Statistics for Probabilistic Graphical Models. David B. Smith, Sara Rouhani, Vibhav Gogate |
| 2017 | Ordinal Zero-Shot Learning. Zeng-Wei Huo, Xin Geng |
| 2017 | Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering. Junwei Han, Kai Xiong, Feiping Nie |
| 2017 | POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations (Extended Abstract). Farhad Zafari, Faria Nassiri Mofakham |
| 2017 | Parameterised Verification of Data-aware Multi-Agent Systems. Francesco Belardinelli, Panagiotis Kouvaros, Alessio Lomuscio |
| 2017 | Pareto Optimal Allocation under Uncertain Preferences. Haris Aziz, Ronald de Haan, Baharak Rastegari |
| 2017 | Parsing Natural Language Conversations using Contextual Cues. Shashank Srivastava, Amos Azaria, Tom M. Mitchell |
| 2017 | Person Re-Identification by Deep Joint Learning of Multi-Loss Classification. Wei Li, Xiatian Zhu, Shaogang Gong |
| 2017 | Personnel Scheduling as Satisfiability Modulo Theories. Christoph Erkinger, Nysret Musliu |
| 2017 | Pessimistic Leader-Follower Equilibria with Multiple Followers. Stefano Coniglio, Nicola Gatti, Alberto Marchesi |
| 2017 | Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy. Tathagata Chakraborti, Sarath Sreedharan, Yu Zhang, Subbarao Kambhampati |
| 2017 | Plato's Cave in the Dempster-Shafer land-the Link between Pignistic and Plausibility Transformations. Chunlai Zhou, Biao Qin, Xiaoyong Du |
| 2017 | Player Movement Models for Video Game Level Generation. Sam Snodgrass, Santiago Ontañón |
| 2017 | Playing Repeated Network Interdiction Games with Semi-Bandit Feedback. Qingyu Guo, Bo An, Long Tran-Thanh |
| 2017 | Positive unlabeled learning via wrapper-based adaptive sampling. Pengyi Yang, Wei Liu, Jean Yee Hwa Yang |
| 2017 | Posted Pricing sans Discrimination. Shreyas Sekar |
| 2017 | Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model. Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang |
| 2017 | Predicting Human Interaction via Relative Attention Model. Yichao Yan, Bingbing Ni, Xiaokang Yang |
| 2017 | Predicting Human Similarity Judgments with Distributional Models: The Value of Word Associations. Simon De Deyne, Amy Perfors, Daniel J. Navarro |
| 2017 | Predicting the Quality of Short Narratives from Social Media. Tong Wang, Ping Chen, Boyang Li |
| 2017 | Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training. Yusuke Iwasawa, Kotaro Nakayama, Ikuko Yairi, Yutaka Matsuo |
| 2017 | Privacy and Autonomous Systems. Jose M. Such |
| 2017 | Privileged Matrix Factorization for Collaborative Filtering. Yali Du, Chang Xu, Dacheng Tao |
| 2017 | Privileged Multi-label Learning. Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao |
| 2017 | Proactive and Reactive Coordination of Non-dedicated Agent Teams Operating in Uncertain Environments. Pritee Agrawal, Pradeep Varakantham |
| 2017 | Probabilistic Inference in Hybrid Domains. Paolo Morettin |
| 2017 | Probability Bounds for Overlapping Coalition Formation. Michail Mamakos, Georgios Chalkiadakis |
| 2017 | Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 Carles Sierra |
| 2017 | Process Plan Controllers for Non-Deterministic Manufacturing Systems. Paolo Felli, Lavindra de Silva, Brian Logan, Svetan M. Ratchev |
| 2017 | Projection Free Rank-Drop Steps. Edward Cheung, Yuying Li |
| 2017 | Projective Low-rank Subspace Clustering via Learning Deep Encoder. Jun Li, Hongfu Liu, Handong Zhao, Yun Fu |
| 2017 | Proportional Rankings. Piotr Skowron, Martin Lackner, Markus Brill, Dominik Peters, Edith Elkind |
| 2017 | Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems. Farhad Zafari, Rasoul Rahmani, Irene Moser |
| 2017 | Pure Nash Equilibria in Online Fair Division. Martin Aleksandrov, Toby Walsh |
| 2017 | Purely Declarative Action Descriptions are Overrated: Classical Planning with Simulators. Guillem Francès, Miquel Ramírez, Nir Lipovetzky, Hector Geffner |
| 2017 | Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach. Lahari Poddar, Wynne Hsu, Mong-Li Lee |
| 2017 | Query Answering in Ontologies under Preference Rankings. Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Peñaloza, Oana Tifrea-Marciuska |
| 2017 | Query Conservative Extensions in Horn Description Logics with Inverse Roles. Jean Christoph Jung, Carsten Lutz, Mauricio Martel, Thomas Schneider |
| 2017 | Query Rewriting for DL-Lite with n-ary Concrete Domains. Franz Baader, Stefan Borgwardt, Marcel Lippmann |
| 2017 | Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs. Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Bo Li |
| 2017 | RHash: Robust Hashing via L_infinity-norm Distortion. Amirali Aghazadeh, Andrew S. Lan, Anshumali Shrivastava, Richard G. Baraniuk |
| 2017 | ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery. Xiaojie Guo, Zhouchen Lin |
| 2017 | Radar: Residual Analysis for Anomaly Detection in Attributed Networks. Jundong Li, Harsh Dani, Xia Hu, Huan Liu |
| 2017 | Random Shifting for CNN: a Solution to Reduce Information Loss in Down-Sampling Layers. Gangming Zhao, Jingdong Wang, Zhaoxiang Zhang |
| 2017 | Rationalisation of Profiles of Abstract Argumentation Frameworks: Extended Abstract. Stéphane Airiau, Elise Bonzon, Ulle Endriss, Nicolas Maudet, Julien Rossit |
| 2017 | Real-Time Navigation in Classical Platform Games via Skill Reuse. Michael Dann, Fabio Zambetta, John Thangarajah |
| 2017 | Real-Time UAV Maneuvering via Automated Planning in Simulations. Miquel Ramírez, Michael Papasimeon, Lyndon Benke, Nir Lipovetzky, Tim Miller, Adrian R. Pearce |
| 2017 | Reasoning about Probabilities in Unbounded First-Order Dynamical Domains. Vaishak Belle, Gerhard Lakemeyer |
| 2017 | Recognizing Top-Monotonic Preference Profiles in Polynomial Time. Krzysztof Magiera, Piotr Faliszewski |
| 2017 | Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness. Kaisong Song, Wei Gao, Shi Feng, Daling Wang, Kam-Fai Wong, Chengqi Zhang |
| 2017 | Reconstruction-based Unsupervised Feature Selection: An Embedded Approach. Jundong Li, Jiliang Tang, Huan Liu |
| 2017 | Reduction Techniques for Model Checking and Learning in MDPs. Suda Bharadwaj, Stéphane Le Roux, Guillermo A. Pérez, Ufuk Topcu |
| 2017 | Refinement of Intentions. Zhanhao Xiao |
| 2017 | Reformulating Queries: Theory and Practice. Michael Benedikt, Egor V. Kostylev, Fabio Mogavero, Efthymia Tsamoura |
| 2017 | Regional Concept Drift Detection and Density Synchronized Drift Adaptation. Anjin Liu, Yiliao Song, Guangquan Zhang, Jie Lu |
| 2017 | Reinforcement Learning with a Corrupted Reward Channel. Tom Everitt, Victoria Krakovna, Laurent Orseau, Shane Legg |
| 2017 | Reinforcement mechanism design. Pingzhong Tang |
| 2017 | Relatedness-based Multi-Entity Summarization. Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit P. Sheth, Gong Cheng |
| 2017 | Relations Between Spatial Calculi About Directions and Orientations (Extended Abstract). Till Mossakowski, Reinhard Moratz |
| 2017 | Relaxed Exists-Step Plans in Planning as SMT. Miquel Bofill, Joan Espasa, Mateu Villaret |
| 2017 | Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media. Lizi Liao, Xiangnan He, Zhaochun Ren, Liqiang Nie, Huan Xu, Tat-Seng Chua |
| 2017 | Rescale-Invariant SVM for Binary Classification. Mojtaba Montazery, Nic Wilson |
| 2017 | Resilient Control and Safety for Multi-Agent Cyber-Physical Systems. Anna Lukina |
| 2017 | Responsible Autonomy. Virginia Dignum |
| 2017 | Restart and Random Walk in Local Search for Maximum Vertex Weight Cliques with Evaluations in Clustering Aggregation. Yi Fan, Nan Li, Chengqian Li, Zongjie Ma, Longin Jan Latecki, Kaile Su |
| 2017 | Restricted Chase (Non)Termination for Existential Rules with Disjunctions. David Carral, Irina Dragoste, Markus Krötzsch |
| 2017 | Retaining Data from Streams of Social Platforms with Minimal Regret. Thanh Tam Nguyen, Matthias Weidlich, Duong Chi Thang, Hongzhi Yin, Nguyen Quoc Viet Hung |
| 2017 | Revisiting Unrestricted Rebut and Preferences in Structured Argumentation. Jesse Heyninck, Christian Straßer |
| 2017 | Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations. Andrew Slavin Ross, Michael C. Hughes, Finale Doshi-Velez |
| 2017 | Robotic Strategic Behavior in Adversarial Environments. Noa Agmon |
| 2017 | Robots in Retirement Homes: Applying Off-the-Shelf Planning and Scheduling to a Team of Assistive Robots (Extended Abstract). Tony T. Tran, Tiago Stegun Vaquero, Goldie Nejat, J. Christopher Beck |
| 2017 | Robust Advertisement Allocation. Shaojie Tang |
| 2017 | Robust Asymmetric Bayesian Adaptive Matrix Factorization. Xin Guo, Boyuan Pan, Deng Cai, Xiaofei He |
| 2017 | Robust Multilingual Named Entity Recognition with Shallow Semi-supervised Features (Extended Abstract). Rodrigo Agerri, German Rigau |
| 2017 | Robust Quadratic Programming for Price Optimization. Akihiro Yabe, Shinji Ito, Ryohei Fujimaki |
| 2017 | Robust Regression via Heuristic Hard Thresholding. Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu |
| 2017 | Robust Softmax Regression for Multi-class Classification with Self-Paced Learning. Yazhou Ren, Peng Zhao, Yongpan Sheng, Dezhong Yao, Zenglin Xu |
| 2017 | Robust Survey Aggregation with Student-t Distribution and Sparse Representation. Qingtao Tang, Tao Dai, Li Niu, Yisen Wang, Shu-Tao Xia, Jianfei Cai |
| 2017 | Role Forgetting for ALCOQH(universal role)-Ontologies Using an Ackermann-Based Approach. Yizheng Zhao, Renate A. Schmidt |
| 2017 | SAT-Based Approaches for the General High School Timetabling Problem. Emir Demirovic |
| 2017 | SEVEN: Deep Semi-supervised Verification Networks. Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu |
| 2017 | SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation. Chenwei Cai, Ruining He, Julian J. McAuley |
| 2017 | SVD-Based Screening for the Graphical Lasso. Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda |
| 2017 | SVD-free Convex-Concave Approaches for Nuclear Norm Regularization. Yichi Xiao, Zhe Li, Tianbao Yang, Lijun Zhang |
| 2017 | SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition. Wenqiang Lei, Xuancong Wang, Meichun Liu, Ilija Ilievski, Xiangnan He, Min-Yen Kan |
| 2017 | Safe Inductions: An Algebraic Study. Bart Bogaerts, Joost Vennekens, Marc Denecker |
| 2017 | Saliency Guided End-to-End Learning for Weakly Supervised Object Detection. Baisheng Lai, Xiaojin Gong |
| 2017 | Salient Object Detection with Semantic Priors. Tam V. Nguyen, Luoqi Liu |
| 2017 | Sample Efficient Policy Search for Optimal Stopping Domains. Karan Goel, Christoph Dann, Emma Brunskill |
| 2017 | Sampling for Approximate Maximum Search in Factorized Tensor. Zhi Lu, Yang Hu, Bing Zeng |
| 2017 | Scalable Constraint-based Virtual Data Center Allocation. Sam Bayless, Nodir Kodirov, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu |
| 2017 | Scalable Estimation of Dirichlet Process Mixture Models on Distributed Data. Ruohui Wang, Dahua Lin |
| 2017 | Scalable Normalized Cut with Improved Spectral Rotation. Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang, Min Yang |
| 2017 | Scaling Active Search using Linear Similarity Functions. Sibi Venkatesan, James Kyle Miller, Jeff Schneider, Artur Dubrawski |
| 2017 | Score Aggregation via Spectral Method. Mingyu Xiao, Yuqing Wang |
| 2017 | Search Strategies as Synchronous Processes (Extended Abstract). Pierre Talbot |
| 2017 | Search and Learn: On Dead-End Detectors, the Traps they Set, and Trap Learning. Marcel Steinmetz, Jörg Hoffmann |
| 2017 | Searching for Well-Behaved Fragments of Halpern-Shoham Logic. Przemyslaw Andrzej Walega |
| 2017 | Securing and scaling cryptocurrencies. Aviv Zohar |
| 2017 | See without looking: joint visualization of sensitive multi-site datasets. Debbrata K. Saha, Vince D. Calhoun, Sandeep R. Panta, Sergey M. Plis |
| 2017 | Segmenting Chinese Microtext: Joint Informal-Word Detection and Segmentation with Neural Networks. Meishan Zhang, Guohong Fu, Nan Yu |
| 2017 | Self-Adjusting Memory: How to Deal with Diverse Drift Types. Viktor Losing, Barbara Hammer, Heiko Wersing |
| 2017 | Self-Paced Multitask Learning with Shared Knowledge. Keerthiram Murugesan, Jaime G. Carbonell |
| 2017 | Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding. Shuangyin Li, Rong Pan, Jun Yan |
| 2017 | Self-paced Convolutional Neural Networks. Hao Li, Maoguo Gong |
| 2017 | Self-paced Mixture of Regressions. Longfei Han, Dingwen Zhang, Dong Huang, Xiaojun Chang, Jun Ren, Senlin Luo, Junwei Han |
| 2017 | Self-weighted Multiview Clustering with Multiple Graphs. Feiping Nie, Jing Li, Xuelong Li |
| 2017 | Semantic Visualization for Short Texts with Word Embeddings. Tuan M. V. Le, Hady Wirawan Lauw |
| 2017 | Semantics for Active Integrity Constraints Using Approximation Fixpoint Theory. Bart Bogaerts, Luís Cruz-Filipe |
| 2017 | Semi-Supervised Deep Hashing with a Bipartite Graph. Xinyu Yan, Lijun Zhang, Wu-Jun Li |
| 2017 | Semi-Supervised Learning for Surface EMG-based Gesture Recognition. Yu Du, Yongkang Wong, Wenguang Jin, Wentao Wei, Yu Hu, Mohan S. Kankanhalli, Weidong Geng |
| 2017 | Semi-supervised Feature Selection via Rescaled Linear Regression. Xiaojun Chen, Guowen Yuan, Feiping Nie, Joshua Zhexue Huang |
| 2017 | Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks. He Jiang, Yangqiu Song, Chenguang Wang, Ming Zhang, Yizhou Sun |
| 2017 | Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization. Wenbo Hu, Jun Zhu, Hang Su, Jingwei Zhuo, Bo Zhang |
| 2017 | Semi-supervised Orthogonal Graph Embedding with Recursive Projections. Hanyang Liu, Junwei Han, Feiping Nie |
| 2017 | Sense Beauty by Label Distribution Learning. Yi Ren, Xin Geng |
| 2017 | Sequence Prediction with Unlabeled Data by Reward Function Learning. Lijun Wu, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu |
| 2017 | Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks. Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Qiushi Huang, Jintao Li, Tao Mei |
| 2017 | Should Robots be Obedient? Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart Russell |
| 2017 | Sifting Common Information from Many Variables. Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan |
| 2017 | Single-Image 3D Scene Parsing Using Geometric Commonsense. Chengcheng Yu, Xiaobai Liu, Song-Chun Zhu |
| 2017 | Single-Pass PCA of Large High-Dimensional Data. Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li |
| 2017 | SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing. Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao |
| 2017 | Smoothing Method for Approximate Extensive-Form Perfect Equilibrium. Christian Kroer, Gabriele Farina, Tuomas Sandholm |
| 2017 | Social Pressure in Opinion Games. Diodato Ferraioli, Carmine Ventre |
| 2017 | Socialized Word Embeddings. Ziqian Zeng, Yichun Yin, Yangqiu Song, Ming Zhang |
| 2017 | Softpressure: A Schedule-Driven Backpressure Algorithm for Coping with Network Congestion. Hsu-Chieh Hu, Stephen F. Smith |
| 2017 | Solving Integer Linear Programs with a Small Number of Global Variables and Constraints. Pavel Dvorák, Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak |
| 2017 | Solving Probability Problems in Natural Language. Anton Dries, Angelika Kimmig, Jesse Davis, Vaishak Belle, Luc De Raedt |
| 2017 | Solving Stochastic Boolean Satisfiability under Random-Exist Quantification. Nian-Ze Lee, Yen-Shi Wang, Jie-Hong R. Jiang |
| 2017 | Solving Very Hard Problems: Cube-and-Conquer, a Hybrid SAT Solving Method. Marijn J. H. Heule, Oliver Kullmann, Victor W. Marek |
| 2017 | Some Properties of Batch Value of Information in the Selection Problem (Extended Abstract). Shahaf S. Shperberg, Solomon Eyal Shimony |
| 2017 | Speech-based Medical Decision Support in VR using a Deep Neural Network (Demonstration). Alexander Prange, Michael Barz, Daniel Sonntag |
| 2017 | Stacked Similarity-Aware Autoencoders. Wenqing Chu, Deng Cai |
| 2017 | Stacking With Auxiliary Features. Nazneen Fatema Rajani, Raymond J. Mooney |
| 2017 | Stance Classification with Target-specific Neural Attention. Jiachen Du, Ruifeng Xu, Yulan He, Lin Gui |
| 2017 | Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources. Sara Marie McCarthy, Phebe Vayanos, Milind Tambe |
| 2017 | Stochastic Constraint Programming with And-Or Branch-and-Bound. Behrouz Babaki, Tias Guns, Luc De Raedt |
| 2017 | Stochastic Constraint Programming. David Hemmi |
| 2017 | Stochastic Online Anomaly Analysis for Streaming Time Series. Zhao Xu, Kristian Kersting, Lorenzo von Ritter |
| 2017 | Storage Fit Learning with Unlabeled Data. Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou |
| 2017 | Strategically knowing how. Raul Fervari, Andreas Herzig, Yanjun Li, Yanjing Wang |
| 2017 | Stratified Strategy Selection for Unit Control in Real-Time Strategy Games. Levi H. S. Lelis |
| 2017 | Streaming Multi-Context Systems. Minh Dao-Tran, Thomas Eiter |
| 2017 | Strong Inconsistency in Nonmonotonic Reasoning. Gerhard Brewka, Matthias Thimm, Markus Ulbricht |
| 2017 | Strong Syntax Splitting for Iterated Belief Revision. Gabriele Kern-Isberner, Gerhard Brewka |
| 2017 | Student-t Process Regression with Student-t Likelihood. Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An, Jianfei Cai, Shu-Tao Xia |
| 2017 | Summary: Multi-Agent Path Finding with Kinematic Constraints. Wolfgang Hönig, T. K. Satish Kumar, Liron Cohen, Hang Ma, Hong Xu, Nora Ayanian, Sven Koenig |
| 2017 | Super-Human AI for Strategic Reasoning: Beating Top Pros in Heads-Up No-Limit Texas Hold'em. Tuomas Sandholm |
| 2017 | Supervised Deep Features for Software Functional Clone Detection by Exploiting Lexical and Syntactical Information in Source Code. Huihui Wei, Ming Li |
| 2017 | Swift Logic for Big Data and Knowledge Graphs. Luigi Bellomarini, Georg Gottlob, Andreas Pieris, Emanuel Sallinger |
| 2017 | Switched Linear Multi-Robot Navigation Using Hierarchical Model Predictive Control. Chao Huang, Xin Chen, Yifan Zhang, Shengchao Qin, Yifeng Zeng, Xuandong Li |
| 2017 | Symbolic LTLf Synthesis. Shufang Zhu, Lucas M. Tabajara, Jianwen Li, Geguang Pu, Moshe Y. Vardi |
| 2017 | Symbolic Priors for RNN-based Semantic Parsing. Chunyang Xiao, Marc Dymetman, Claire Gardent |
| 2017 | Symmetric Non-negative Latent Factor Models for Undirected Large Networks. Xin Luo, Mingsheng Shang |
| 2017 | Synchronisation Games on Hypergraphs. Sunil Simon, Dominik Wojtczak |
| 2017 | Synthesizing Samples for Zero-shot Learning. Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao |
| 2017 | TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets. Xin Zhao, Guiguang Ding, Yuchen Guo, Jungong Han, Yue Gao |
| 2017 | Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun |
| 2017 | Tag Disentangled Generative Adversarial Network for Object Image Re-rendering. Chaoyue Wang, Chaohui Wang, Chang Xu, Dacheng Tao |
| 2017 | Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng |
| 2017 | Teaching Robots through Situated Interactive Dialogue and Visual Demonstrations. Jose L. Part, Oliver Lemon |
| 2017 | Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context. Rohan Paul, Andrei Barbu, Sue Felshin, Boris Katz, Nicholas Roy |
| 2017 | Temporal Planning for Compilation of Quantum Approximate Optimization Circuits. Davide Venturelli, Minh Do, Eleanor Gilbert Rieffel, Jeremy Frank |
| 2017 | Temporal Planning with Clock-Based SMT Encodings. Jussi Rintanen |
| 2017 | Temporal Sequences of Qualitative Information: Reasoning about the Topology of Constant-Size Moving Regions. Quentin Cohen-Solal, Maroua Bouzid, Alexandre Niveau |
| 2017 | Temporalising Separation Logic for Planning with Search Control Knowledge. Xu Lu, Cong Tian, Zhenhua Duan |
| 2017 | Tensor Based Knowledge Transfer Across Skill Categories for Robot Control. Chenyang Zhao, Timothy M. Hospedales, Freek Stulp, Olivier Sigaud |
| 2017 | Tensor Completion with Side Information: A Riemannian Manifold Approach. Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Congfu Xu |
| 2017 | Tensor Decomposition with Missing Indices. Yuto Yamaguchi, Kohei Hayashi |
| 2017 | Text Rewriting Improves Semantic Role Labeling (Extended Abstract). Kristian Woodsend, Mirella Lapata |
| 2017 | The Bag Semantics of Ontology-Based Data Access. Charalampos Nikolaou, Egor V. Kostylev, George Konstantinidis, Mark Kaminski, Bernardo Cuenca Grau, Ian Horrocks |
| 2017 | The Ceteris Paribus Structure of Logics of Game Forms (Extended Abstract). Davide Grossi, Emiliano Lorini, François Schwarzentruber |
| 2017 | The Condorcet Principle for Multiwinner Elections: From Shortlisting to Proportionality. Haris Aziz, Edith Elkind, Piotr Faliszewski, Martin Lackner, Piotr Skowron |
| 2017 | The DNA Word Design Problem: A New Constraint Model and New Results. Michael Codish, Michael Frank, Vitaly Lagoon |
| 2017 | The Hard Problems Are Almost Everywhere For Random CNF-XOR Formulas. Jeffrey M. Dudek, Kuldeep S. Meel, Moshe Y. Vardi |
| 2017 | The Impact of Treewidth on ASP Grounding and Solving. Bernhard Bliem, Marius Moldovan, Michael Morak, Stefan Woltran |
| 2017 | The Many Benefits of Annotator Rationales for Relevance Judgments. Tyler McDonnell, Mücahid Kutlu, Tamer Elsayed, Matthew Lease |
| 2017 | The Minds of Many: Opponent Modeling in a Stochastic Game. Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller |
| 2017 | The Mixing of Markov Chains on Linear Extensions in Practice. Topi Talvitie, Teppo Mikael Niinimäki, Mikko Koivisto |
| 2017 | The Off-Switch Game. Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell |
| 2017 | The Role of Textualisation and Argumentation in Understanding the Machine Learning Process. Kacper Sokol, Peter A. Flach |
| 2017 | The Tractability of the Shapley Value over Bounded Treewidth Matching Games. Gianluigi Greco, Francesco Lupia, Francesco Scarcello |
| 2017 | Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning. Wenhao Jiang, Cheng Deng, Wei Liu, Feiping Nie, Fu-Lai Chung, Heng Huang |
| 2017 | Thresholding Bandits with Augmented UCB. Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran |
| 2017 | Thwarting Vote Buying Through Decoy Ballots. David C. Parkes, Paul Tylkin, Lirong Xia |
| 2017 | Top-k Supervise Feature Selection via ADMM for Integer Programming. Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang, Di Wang, Liang Du |
| 2017 | Tosca: Operationalizing Commitments Over Information Protocols. Thomas C. King, Akin Günay, Amit K. Chopra, Munindar P. Singh |
| 2017 | Towards A Relational Approach For Tool Creation By Robots. Handy Wicaksono |
| 2017 | Towards Certified Unsolvability in Classical Planning. Gabriele Röger |
| 2017 | Towards Trust, Transparency and Liability in AI / AS systems. Eva Thelisson |
| 2017 | Towards Understanding the Invertibility of Convolutional Neural Networks. Anna C. Gilbert, Yi Zhang, Kibok Lee, Yuting Zhang, Honglak Lee |
| 2017 | Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process. Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen |
| 2017 | Training Group Orthogonal Neural Networks with Privileged Information. Yunpeng Chen, Xiaojie Jin, Jiashi Feng, Shuicheng Yan |
| 2017 | TransNet: Translation-Based Network Representation Learning for Social Relation Extraction. Cunchao Tu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun |
| 2017 | Transfer Learning in Multi-Armed Bandits: A Causal Approach. Junzhe Zhang, Elias Bareinboim |
| 2017 | Two dimensional Large Margin Nearest Neighbor for Matrix Classification. Kun Song, Feiping Nie, Junwei Han |
| 2017 | Understanding How Feature Structure Transfers in Transfer Learning. Tongliang Liu, Qiang Yang, Dacheng Tao |
| 2017 | Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory. Chenyi Zhuang, Nicholas Jing Yuan, Ruihua Song, Xing Xie, Qiang Ma |
| 2017 | Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization. Yunhui Guo, Congfu Xu, Hanzhang Song, Xin Wang |
| 2017 | Understanding and Exploiting Language Diversity. Fausto Giunchiglia, Khuyagbaatar Batsuren, Gábor Bella |
| 2017 | Understanding and Measuring Collective Intelligence Across Different Cognitive Systems: An Information-Theoretic Approach. Nader Chmait |
| 2017 | Unified Representation and Lifted Sampling for Generative Models of Social Networks. Pablo Robles-Granda, Sebastián Moreno, Jennifer Neville |
| 2017 | Universal Reinforcement Learning Algorithms: Survey and Experiments. John Aslanides, Jan Leike, Marcus Hutter |
| 2017 | Unsatisfiable Core Shrinking for Anytime Answer Set Optimization. Mario Alviano, Carmine Dodaro |
| 2017 | Unsupervised Deep Video Hashing with Balanced Rotation. Gengshen Wu, Li Liu, Yuchen Guo, Guiguang Ding, Jungong Han, Jialie Shen, Ling Shao |
| 2017 | Unsupervised Learning of Deep Feature Representation for Clustering Egocentric Actions. Bharat Lal Bhatnagar, Suriya Singh, Chetan Arora, C. V. Jawahar |
| 2017 | Unsupervised Learning via Total Correlation Explanation. Greg Ver Steeg |
| 2017 | User Profile Preserving Social Network Embedding. Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang |
| 2017 | User-Based Opinion-based Recommendation. Ruihai Dong, Barry Smyth |
| 2017 | Using Constraint Programming to solve a Cryptanalytic Problem. David Gérault, Marine Minier, Christine Solnon |
| 2017 | Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning. Lidong Bing, William W. Cohen, Bhuwan Dhingra |
| 2017 | Using Multiagents for Context-Aware Adaptive Biometrics. Fatina Shukur |
| 2017 | Value Iteration Networks. Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, Pieter Abbeel |
| 2017 | Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering. Zhuxi Jiang, Yin Zheng, Huachun Tan, Bangsheng Tang, Hanning Zhou |
| 2017 | Variational Mixtures of Gaussian Processes for Classification. Chen Luo, Shiliang Sun |
| 2017 | Verification of Broadcasting Multi-Agent Systems against an Epistemic Strategy Logic. Francesco Belardinelli, Alessio Lomuscio, Aniello Murano, Sasha Rubin |
| 2017 | Verifying Fault-tolerance in Parameterised Multi-Agent Systems. Panagiotis Kouvaros, Alessio Lomuscio |
| 2017 | Vertex-Weighted Hypergraph Learning for Multi-View Object Classification. Lifan Su, Yue Gao, Xibin Zhao, Hai Wan, Ming Gu, Jiaguang Sun |
| 2017 | Video Question Answering via Hierarchical Spatio-Temporal Attention Networks. Zhou Zhao, Qifan Yang, Deng Cai, Xiaofei He, Yueting Zhuang |
| 2017 | Voting by sequential elimination with few voters. Sylvain Bouveret, Yann Chevaleyre, François Durand, Jérôme Lang |
| 2017 | WALKING WALKing walking: Action Recognition from Action Echoes. Qianli Ma, Lifeng Shen, Enhuan Chen, Shuai Tian, Jiabing Wang, Garrison W. Cottrell |
| 2017 | Weakening Covert Networks by Minimizing Inverse Geodesic Length. Haris Aziz, Serge Gaspers, Kamran Najeebullah |
| 2017 | Weighted Double Q-learning. Zongzhang Zhang, Zhiyuan Pan, Mykel J. Kochenderfer |
| 2017 | Weighted Model Integration with Orthogonal Transformations. David Merrell, Aws Albarghouthi, Loris D'Antoni |
| 2017 | What Can You Do with a Rock? Affordance Extraction via Word Embeddings. Nancy Fulda, Daniel Ricks, Ben Murdoch, David Wingate |
| 2017 | What to Do Next: Modeling User Behaviors by Time-LSTM. Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai |
| 2017 | When Does Label Propagation Fail? A View from a Network Generative Model. Yuto Yamaguchi, Kohei Hayashi |
| 2017 | When Security Games Hit Traffic: Optimal Traffic Enforcement Under One Sided Uncertainty. Ariel Rosenfeld, Sarit Kraus |
| 2017 | When Will Negotiation Agents Be Able to Represent Us? The Challenges and Opportunities for Autonomous Negotiators. Tim Baarslag, Michael Kaisers, Enrico H. Gerding, Catholijn M. Jonker, Jonathan Gratch |
| 2017 | Which is the Fairest (Rent Division) of Them All? [Extended Abstract]. Ya'akov (Kobi) Gal, Moshe Mash, Ariel D. Procaccia, Yair Zick |
| 2017 | Who to Invite Next? Predicting Invitees of Social Groups. Yu Han, Jie Tang |
| 2017 | Why Can't You Convince Me? Modeling Weaknesses in Unpersuasive Arguments. Isaac Persing, Vincent Ng |
| 2017 | Why You Should Charge Your Friends for Borrowing Your Stuff. Kijung Shin, Euiwoong Lee, Dhivya Eswaran, Ariel D. Procaccia |
| 2017 | XOR-Sampling for Network Design with Correlated Stochastic Events. Xiaojian Wu, Yexiang Xue, Bart Selman, Carla P. Gomes |
| 2017 | nanoCoP: Natural Non-clausal Theorem Proving. Jens Otten |