Technical Papers: Applications
| Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices | |
| Mohammad Raihanul Islam, K. S. M. Tozammel Hossain, Siddharth Krishnan, Naren Ramakrishnan |
| Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds | |
| Meng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, Shiqiang Yang |
| Scientific Ranking over Heterogeneous Academic Hypernetwork | |
| Ronghua Liang, Xiaorui Jiang |
| MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction | |
| Zeming Lin, Jack Lanchantin, Yanjun Qi |
| Hospital Stockpiling Problems with Inventory Sharing | |
| Eric Lofgren, Anil Vullikanti |
| Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements | |
| Yuan Luo, Yu Xin, Rohit Joshi, Leo Celi, Peter Szolovits |
| Learning to Generate Posters of Scientific Papers | |
| Yuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal |
| Face Behind Makeup | |
| Shuyang Wang, Yun Fu |
| Social Role-Aware Emotion Contagion in Image Social Networks | |
| Yang Yang, Jia Jia, Boya Wu, Jie Tang |
| Survival Prediction by an Integrated Learning Criterion on Intermittently Varying Healthcare Data | |
| Jianfei Zhang, Lifei Chen, Alain Vanasse, Josiane Courteau, Shengrui Wang |
| On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks | |
| Chuan Zhou, Wei-Xue Lu, Peng Zhang, Jia Wu, Yue Hu, Li Guo |
Technical Papers: AI and the Web
| From Tweets to Wellness: Wellness Event Detection from Twitter Streams | |
| Mohammad Akbari, Xia Hu, Nie Liqiang, Tat-Seng Chua |
| "8 Amazing Secrets for Getting More Clicks": Detecting Clickbaits in News Streams Using Article Informality | |
| Prakhar Biyani, Kostas Tsioutsiouliklis, John Blackmer |
| Business-Aware Visual Concept Discovery from Social Media for Multimodal Business Venue Recognition | |
| Bor-Chun Chen, Yan-Ying Chen, Francine Chen, Dhiraj Joshi |
| Capturing Semantic Correlation for Item Recommendation in Tagging Systems | |
| Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Deren Chen |
| Identifying Sentiment Words Using an Optimization Model with L1 Regularization | |
| Zhi-Hong Deng, Hongliang Yu, Yunlun Yang |
| Community-Based Question Answering via Heterogeneous Social Network Learning | |
| Hanyin Fang, Fei Wu, Zhou Zhao, Xinyu Duan, Yueting Zhuang, Martin Ester |
| College Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare Locations | |
| Hancheng Ge, James Caverlee |
| Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns | |
| Jing He, Xin Li, Lejian Liao, Dandan Song, William K. Cheung |
| VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback | |
| Ruining He, Julian McAuley |
| Improved Neural Machine Translation with SMT Features | |
| Wei He, Zhongjun He, Hua Wu, Haifeng Wang |
| A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs | |
| Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang |
| Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction | |
| Yongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David S. Rosenblum |
| Detect Overlapping Communities via Ranking Node Popularities | |
| Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang |
| Top-N Recommender System via Matrix Completion | |
| Zhao Kang, Chong Peng, Qiang Cheng |
| Robust Text Classification in the Presence of Confounding Bias | |
| Virgile Landeiro, Aron Culotta |
| Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts | |
| Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan |
| Fortune Teller: Predicting Your Career Path | |
| Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum |
| Predicting Online Protest Participation of Social Media Users | |
| Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu |
| Context-Sensitive Twitter Sentiment Classification Using Neural Network | |
| Yafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji |
| ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources | |
| Mehdi Samadi, Partha Talukdar, Manuela Veloso, Manuel Blum |
| On the Effectiveness of Linear Models for One-Class Collaborative Filtering | |
| Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Darius Braziunas |
| Supervised Hashing via Uncorrelated Component Analysis | |
| SungRyull Sohn, Hyunwoo Kim, Junmo Kim |
| Commonsense in Parts: Mining Part-Whole Relations from the Web and Image Tags | |
| Niket Tandon, Charles Hariman, Jacopo Urbani, Anna Rohrbach, Marcus Rohrbach, Gerhard Weikum |
| Recommendation with Social Dimensions | |
| Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu |
| Column-Oriented Datalog Materialization for Large Knowledge Graphs | |
| Jacopo Urbani, Ceriel Jacobs, Markus Krötzsch |
| Semantic Community Identification in Large Attribute Networks | |
| Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang |
| Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition | |
| Bo Wu, Tao Mei, Wen-Huang Cheng, Yongdong Zhang |
| Modeling Users’ Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective | |
| Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang |
| Cross-Lingual Taxonomy Alignment with Bilingual Biterm Topic Model | |
| Tianxing Wu, Guilin Qi, Haofen Wang, Kang Xu, Xuan Cui |
| Online Cross-Modal Hashing for Web Image Retrieval | |
| Liang Xie, Jialie Shen, Lei Zhu |
| Understanding Emerging Spatial Entities | |
| Jinyoung Yeo, Jin-woo Park, Seung-won Hwang |
| Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark | |
| Quanzeng You, Jiebo Luo, Hailin Jin, Jianchao Yang |
| STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation | |
| Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King |
Technical Papers: Cognitive Modeling
| Learning the Preferences of Ignorant, Inconsistent Agents | |
| Owain Evans, Andreas Stuhlmueller, Noah Goodman |
| Egocentric Video Search via Physical Interactions | |
| Taiki Miyanishi, Jun-ichiro Hirayama, Quan Kong, Takuya Maekawa, Hiroki Moriya, Takayuki Suyama |
Technical Papers: Computational Sustainability and AI
| Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference | |
| Quanjun Chen, Xuan Song, Harutoshi Yamada, Ryosuke Shibasaki |
| Autonomous Electricity Trading Using Time-of-Use Tariffs in a Competitive Market | |
| Daniel Urieli, Peter Stone |
Technical Papers: Game Playing and Interactive Entertainment
| Reuse of Neural Modules for General Video Game Playing | |
| Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen |
| Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games Using Convolutional Networks | |
| Nikolai Yakovenko, Liangliang Cao, Colin Raffel, James Fan |
Technical Papers: Game Theory and Economic Paradigms
| Computing Possible and Necessary Equilibrium Actions (and Bipartisan Set Winners) | |
| Markus Brill, Rupert Freeman, Vincent Conitzer |
| From Duels to Battlefields: Computing Equilibria of Blotto and Other Games | |
| AmirMahdi Ahmadinejad, Sina Dehghani, MohammadTaghi Hajiaghay, Brendan Lucier, Hamid Mahini, Saeed Seddighin |
| Maximizing Revenue with Limited Correlation: The Cost of Ex-Post Incentive Compatibility | |
| Michael Albert, Vincent Conitzer, Giuseppe Lopomo |
| Blind, Greedy, and Random: Algorithms for Matching and Clustering Using Only Ordinal Information | |
| Elliot Anshelevich, Shreyas Sekar |
| Strategyproof Peer Selection: Mechanisms, Analyses, and Experiments | |
| Haris Aziz, Omer Lev, Nicholas Mattei, Jeffrey S. Rosenschein, Toby Walsh |
| A Security Game Combining Patrolling and Alarm-Triggered Responses Under Spatial and Detection Uncertainties | |
| Nicola Basilico, Giuseppe De Nittis, Nicola Gatti |
| Learning Market Parameters Using Aggregate Demand Queries | |
| Xiaohui Bei, Wei Chen, Jugal Garg, Martin Hoefer, Xiaoming Sun |
| An Algorithmic Framework for Strategic Fair Division | |
| Simina Brânzei, Ioannis Caragiannis, David Kurokawa, Ariel D. Procaccia |
| One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats | |
| Matthew Brown, Arunesh Sinha, Aaron Schlenker, Milind Tambe |
| Strategy-Based Warm Starting for Regret Minimization in Games | |
| Noam Brown, Tuomas Sandholm |
| Using Correlated Strategies for Computing Stackelberg Equilibria in Extensive-Form Games | |
| Jiri Cermak, Branislav Bosansky, Karel Durkota, Viliam Lisy, Christopher Kiekintveld |
| Assignment and Pricing in Roommate Market | |
| Pak Hay Chan, Xin Huang, Zhengyang Liu, Chihao Zhang, Shengyu Zhang |
| Incentives for Strategic Behavior in Fisher Market Games | |
| Ning Chen, Xiaotie Deng, Bo Tang, Hongyang Zhang |
| Rules for Choosing Societal Tradeoffs | |
| Vincent Conitzer, Rupert Freeman, Markus Brill, Yuqian Li |
| Judgment Aggregation under Issue Dependencies | |
| Marco Costantini, Carla Groenland, Ulle Endriss |
| Price of Pareto Optimality in Hedonic Games | |
| Edith Elkind, Angelo Fanelli, Michele Flammini |
| Multiwinner Analogues of the Plurality Rule: Axiomatic and Algorithmic Perspectives | |
| Piotr Faliszewski, Piot Skowron, Arkadii Slinko, Nimrod Talmon |
| Ad Auctions and Cascade Model: GSP Inefficiency and Algorithms | |
| Gabriele Farina, Nicola Gatti |
| Variations on the Hotelling-Downs Model | |
| Michal Feldman, Amos Fiat, Svetlana Obraztsova |
| A Geometric Method to Construct Minimal Peer Prediction Mechanisms | |
| Rafael Frongillo, Jens Witkowski |
| Sequence-Form and Evolutionary Dynamics: Realization Equivalence to Agent Form and Logit Dynamics | |
| Nicola Gatti, Marcello Restelli |
| Who Can Win a Single-Elimination Tournament? | |
| Michael P. Kim, Warut Suksompong, Virginia Vassilevska Williams |
| When Can the Maximin Share Guarantee Be Guaranteed? | |
| David Kurokawa, Ariel D. Procaccia, Junxing Wang |
| Multi-Attribute Proportional Representation | |
| Jérôme Lang, Piotr Krzysztof Skowron |
| Multi-Defender Strategic Filtering Against Spear-Phishing Attacks | |
| Aron Laszka, Jian Lou, Yevgeniy Vorobeychik |
| Counterfactual Regret Minimization in Sequential Security Games | |
| Viliam Lisy, Trevor Davis, Michael Bowling |
| Optimizing Trading Assignments in Water Right Markets | |
| Yicheng Liu, Pingzhong Tang, Tingting Xu, Hang Zheng |
| On the Complexity of mCP-nets | |
| Thomas Lukasiewicz, Enrico Malizia |
| Reinstating Combinatorial Protections for Manipulation and Bribery in Single-Peaked and Nearly Single-Peaked Electorates | |
| Vijay Menon, Kate Larson |
| Refining Subgames in Large Imperfect Information Games | |
| Matej Moravcik, Martin Schmid, Karel Ha, Milan Hladik, Stephen J. Gaukrodger |
| Complexity of Hedonic Games with Dichotomous Preferences | |
| Dominik Peters |
| Graphical Hedonic Games of Bounded Treewidth | |
| Dominik Peters |
| Preferences Single-Peaked on Nice Trees | |
| Dominik Peters, Edith Elkind |
| Fast Optimal Clearing of Capped-Chain Barter Exchanges | |
| Benjamin Plaut, John P. Dickerson, Tuomas Sandholm |
| Optimal Aggregation of Uncertain Preferences | |
| Ariel D. Procaccia, Nisarg Shah |
| False-Name-Proof Locations of Two Facilities: Economic and Algorithmic Approaches | |
| Akihisa Sonoda, Taiki Todo, Makoto Yokoo |
| Closeness Centrality for Networks with Overlapping Community Structure | |
| Mateusz K. Tarkowski, Piotr Szczepański, Talal Rahwan, Tomasz P. Michalak, Michael Wooldridge |
| Computing Rational Decisions In Extensive Games With Limited Foresight | |
| Paolo Turrini |
| Computing Optimal Monitoring Strategy for Detecting Terrorist Plots | |
| Zhen Wang, Yue Yin, Bo An |
| Quantitative Extensions of the Condorcet Jury Theorem with Strategic Agents | |
| Lirong Xia |
| Lift-Based Bidding in Ad Selection | |
| Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-chih Lee, Hang Qi, Quan Lu |
| Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks | |
| Mengchen Zhao, Bo An, Christopher Kiekintveld |
Technical Papers: Heuristic Search and Optimization
| Unsupervised Feature Selection by Heuristic Search with Provable Bounds on Suboptimality | |
| Hiromasa Arai, Crystal Maung, Ke Xu, Haim Schweitzer |
| Tiebreaking Strategies for A* Search: How to Explore the Final Frontier | |
| Masataro Asai, Alex Fukunaga |
| CAPReS: Context Aware Persona Based Recommendation for Shoppers | |
| Joydeep Banerjee, Gurulingesh Raravi, Manoj Gupta, Sindhu K. Ernala, Shruti Kunde, Koustuv Dasgupta |
| Nested Monte Carlo Search for Two-Player Games | |
| Tristan Cazenave, Abdallah Saffidine, Michael Schofield, Michael Thielscher |
| Look-Ahead with Mini-Bucket Heuristics for MPE | |
| Rina Dechter, Kalev Kask, William Lam, Javier Larrosa |
| Solving the Station Repacking Problem | |
| Alexandre Fréchette, Neil Newman, Kevin Leyton-Brown |
| The Complexity Landscape of Decompositional Parameters for ILP | |
| Robert Ganian, Sebastian Ordyniak |
| Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search | |
| Yuu Jinnai, Alex Fukunaga |
| Learning to Branch in Mixed Integer Programming | |
| Elias Boutros Khalil, Pierre Le Bodic, Le Song, George Nemhauser, Bistra Dilkina |
| Local Search for Hard SAT Formulas: The Strength of the Polynomial Law | |
| Sixue Liu, Periklis A. Papakonstantinou |
| Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting | |
| Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan |
| Combining Bounding Boxes and JPS to Prune Grid Pathfinding | |
| Steve Rabin, Nathan R. Sturtevant |
| Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty | |
| Changkyu Song, Sejong Yoon, Vladimir Pavlovic |
| Towards Clause-Learning State Space Search: Learning to Recognize Dead-Ends | |
| Marcel Steinmetz, Joerg Hoffmann |
| Implementing Troubleshooting with Batch Repair | |
| Roni Stern, Meir Kalech, Hilla Shinitzky |
| A Combinatorial Search Perspective on Diverse Solution Generation | |
| Satya Gautam Vadlamudi, Subbarao Kambhampati |
| On the Completeness of Best-First Search Variants That Use Random Exploration | |
| Richard Anthony Valenzano, Fan Xie |
| DRIMUX: Dynamic Rumor Influence Minimization with User Experience in Social Networks | |
| Biao Wang, Ge Chen, Luoyi Fu, Li Song, Xinbing Wang, Xue Liu |
| Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization | |
| Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su |
| Two Efficient Local Search Algorithms for Maximum Weight Clique Problem | |
| Yiyuan Wang, Shaowei Cai, Minghao Yin |
| Relaxed Majorization-Minimization for Non-Smooth and Non-Convex Optimization | |
| Chen Xu, Zhouchen Lin, Zhenyu Zhao, Hongbin Zha |
| Submodular Optimization with Routing Constraints | |
| Haifeng Zhang, Yevgeniy Vorobeychik |
Technical Papers: Human-Computation and Crowd Sourcing
| Behavioral Experiments in Email Filter Evasion | |
| Liyiming Ke, Bo Li, Yevgeniy Vorobeychik |
Technical Papers: Humans and AI
| An Oral Exam for Measuring a Dialog System’s Capabilities | |
| David Cohen, Ian Lane |
| Intelligent Advice Provisioning for Repeated Interaction | |
| Priel Levy, David Sarne |
| A Deep Choice Model | |
| Makoto Otsuka, Takayuki Osogami |
| Personalized Alert Agent for Optimal User Performance | |
| Avraham Shvartzon, Amos Azaria, Sarit Kraus, Claudia V. Goldman, Joachim Meyer, Omer Tsimhoni |
Technical Papers: Knowledge Representation and Reasoning
| Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces | |
| Basma Alharbi, Abdulhakim Qahtan, Xiangliang Zhang |
| Generating CP-Nets Uniformly at Random | |
| Thomas E. Allen, Judy Goldsmith, Hayden Elizabeth Justice, Nicholas Mattei, Kayla Raines |
| Boolean Functions with Ordered Domains in Answer Set Programming | |
| Mario Alviano, Wolfgang Faber, Hannes Strass |
| A Semantical Analysis of Second-Order Propositional Modal Logic | |
| Francesco Belardinelli, Wiebe van der Hoek |
| A First-Order Logic of Probability and Only Knowing in Unbounded Domains | |
| Vaishak Belle, Gerhard Lakemeyer, Hector Levesque |
| Explaining Inconsistency-Tolerant Query Answering over Description Logic Knowledge Bases | |
| Meghyn Bienvenu, Camille Bourgaux, François Goasdoué |
| Automated Verification and Tightening of Failure Propagation Models | |
| Benjamin Bittner, Marco Bozzano, Alessandro Cimatti, Gianni Zampedri |
| A Comparative Study of Ranking-Based Semantics for Abstract Argumentation | |
| Elise Bonzon, Jérôme Delobelle, Sébastien Konieczny, Nicolas Maudet |
| Beyond OWL 2 QL in OBDA: Rewritings and Approximations | |
| Elena Botoeva, Diego Calvanese, Valerio Santarelli, Domenico Fabio Savo, Alessandro Solimando, Guohui Xiao |
| SDDs Are Exponentially More Succinct than OBDDs | |
| Simone Bova |
| On the Containment of SPARQL Queries under Entailment Regimes | |
| Melisachew Wudage Chekol |
| Logical Foundations of Privacy-Preserving Publishing of Linked Data | |
| Bernardo Cuenca Grau, Egor V. Kostylev |
| Verifying ConGolog Programs on Bounded Situation Calculus Theories | |
| Giuseppe De Giacomo, Yves Lespérance, Fabio Patrizi, Sebastian Sardina |
| Qualitative Spatio-Temporal Stream Reasoning with Unobservable Intertemporal Spatial Relations Using Landmarks | |
| Daniel de Leng, Fredrik Heintz |
| Using Decomposition-Parameters for QBF: Mind the Prefix! | |
| Eduart Eiben, Robert Ganian, Sebastian Ordyniak |
| The Complexity of LTL on Finite Traces: Hard and Easy Fragments | |
| Valeria Fionda, Gianluigi Greco |
| SAT-to-SAT: Declarative Extension of SAT Solvers with New Propagators | |
| Tomi Janhunen, Shahab Tasharrofi, Eugenia Ternovska |
| Knowledge Graph Completion with Adaptive Sparse Transfer Matrix | |
| Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao |
| Locally Adaptive Translation for Knowledge Graph Embedding | |
| Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xueqi Cheng |
| Learning Abductive Reasoning Using Random Examples | |
| Brendan Juba |
| A Model for Learning Description Logic Ontologies Based on Exact Learning | |
| Boris Konev, Ana Ozaki, Frank Wolter |
| Agenda Separability in Judgment Aggregation | |
| Jérôme Lang, Marija Slavkovik, Srdjan Vesic |
| Basic Probabilistic Ontological Data Exchange with Existential Rules | |
| Thomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari |
| Resistance to Corruption of Strategic Argumentation | |
| Michael J. Maher |
| Causal Explanation Under Indeterminism: A Sampling Approach | |
| Christopher A. Merck, Samantha Kleinberg |
| 'Knowing Whether' in Proper Epistemic Knowledge Bases | |
| Tim Miller, Paolo Felli, Christian Muise, Adrian Pearce, Liz Sonenberg |
| Ontology-Mediated Queries for NOSQL Databases | |
| Marie-Laure Mugnier, Marie-Christine Rousset, Federico Ulliana |
| Zero-Suppressed Sentential Decision Diagrams | |
| Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata |
| Scalable Training of Markov Logic Networks Using Approximate Counting | |
| Somdeb Sarkhel, Deepak Venugopal, Tuan Anh Pham, Parag Singla, Vibhav Gogate |
| Metaphysics of Planning Domain Descriptions | |
| Siddharth Srivastava, Stuart Russell, Alessandro Pinto |
| Expressive Recommender Systems through Normalized Nonnegative Models | |
| Cyril J. Stark |
| Complexity Results and Algorithms for Extension Enforcement in Abstract Argumentation | |
| Johannes P. Wallner, Andreas Niskanen, Matti Järvisalo |
| Query Answering with Inconsistent Existential Rules under Stable Model Semantics | |
| Hai Wan, Heng Zhang, Peng Xiao, Haoran Huang, Yan Zhang |
| Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Learning Compact Binary Codes | |
| Zhe Wang, Ling-Yu Duan, Tiejun Huang, Gao Wen |
| Decidable Verification of Golog Programs over Non-Local Effect Actions | |
| Benjamin Zarrieß, Jens Claßen |
| Mapping Action Language BC to Logic Programs: A Characterization by Postulates | |
| Haodi Zhang, Fangzhen Lin |
Technical Papers: Machine Learning Applications
| On the Performance of GoogLeNet and AlexNet Applied to Sketches | |
| Pedro Ballester, Ricardo Matsumura Araujo |
| Bayesian Inference of Recursive Sequences of Group Activities from Tracks | |
| Ernesto Brau, Colin Dawson, Alfredo Carrillo, David Sidi, Clayton T. Morrison |
| Towards Domain Adaptive Vehicle Detection in Satellite Image by Supervised Super-Resolution Transfer | |
| Liujuan Cao, Rongrong Ji, Cheng Wang, Jonathan Li |
| Deep Neural Networks for Learning Graph Representations | |
| Shaosheng Cao, Wei Lu, Qiongkai Xu |
| Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation | |
| Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang |
| Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks | |
| Hao Chen, Qi Dou, Xi Wang, Jing Qin, Pheng Ann Heng |
| Deep Contextual Networks for Neuronal Structure Segmentation | |
| Hao Chen, Xiao Juan Qi, Jie Zhi Cheng, Pheng Ann Heng |
| Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling | |
| Lin Chen, Forrest W. Crawford, Amin Karbasi |
| Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions | |
| Zhengming Ding, Yun Fu |
| Graph-without-cut: An Ideal Graph Learning for Image Segmentation | |
| Lianli Gao, Jingkuan Song, Feiping Nie, Fuhao Zou, Nicu Sebe, Heng Tao Shen |
| MOOCs Meet Measurement Theory: A Topic-Modelling Approach | |
| Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan |
| Creating Images by Learning Image Semantics Using Vector Space Models | |
| Derrall Heath, Dan Ventura |
| Efficient Learning of Timeseries Shapelets | |
| Lu Hou, James T. Kwok, Jacek M. Zurada |
| Learning to Appreciate the Aesthetic Effects of Clothing | |
| Jia Jia, Jie Huang, Guangyao Shen, Tao He, Zhiyuan Liu, Huanbo Luan, Chao Yan |
| Consensus Style Centralizing Auto-Encoder for Weak Style Classification | |
| Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu |
| Column Sampling Based Discrete Supervised Hashing | |
| Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou |
| A Framework for Outlier Description Using Constraint Programming | |
| Chia-Tung Kuo, Ian Davidson |
| Random Mixed Field Model for Mixed-Attribute Data Restoration | |
| Qiang Li, Wei Bian, Richard Yi Da Xu, Jane You, Dacheng Tao |
| Learning with Marginalized Corrupted Features and Labels Together | |
| Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang |
| Towards Optimal Binary Code Learning via Ordinal Embedding | |
| Hong Liu, Rongrong Ji, Yongjian Wu, Wei Liu |
| Recognizing Complex Activities by a Probabilistic Interval-Based Model | |
| Li Liu, Li Cheng, Ye Liu, Yongpo Jia, David S. Rosenblum |
| Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data | |
| Zitao Liu, Milos Hauskrecht |
| Deep Learning for Algorithm Portfolios | |
| Andrea Loreggia, Yuri Malitsky, Horst Samulowitz, Vijay Saraswat |
| Convolutional Neural Networks over Tree Structures for Programming Language Processing | |
| Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin |
| Learning Tractable Probabilistic Models for Fault Localization | |
| Aniruddh Nath, Pedro Domingos |
| Unsupervised Feature Selection with Structured Graph Optimization | |
| Feiping Nie, Wei Zhu, Xuelong Li |
| Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction | |
| NhatHai Phan, Yue Wang, Xintao Wu, Dejing Dou |
| Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features | |
| Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu |
| Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning | |
| Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang |
| Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization | |
| Xin Wang, Roger Donaldson, Christopher Nell, Peter Gorniak, Martin Ester, Jiajun Bu |
| Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning | |
| Ying Wei, Yin Zhu, Cane Wing-ki Leung, Yangqiu Song, Qiang Yang |
| Exploiting an Oracle That Reports AUC Scores in Machine Learning Contests | |
| Jacob Whitehill |
| Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors | |
| Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan |
| Factorization Ranking Model for Move Prediction in the Game of Go | |
| Chenjun Xiao, Martin Müller |
| Joint Multi-View Representation Learning and Image Tagging | |
| Zhe Xue, Guorong Li, Qingming Huang |
| Learning Deep Convolutional Neural Networks for X-Ray Protein Crystallization Image Analysis | |
| Margot Lisa-Jing Yann, Yichuan Tang |
| Linear Submodular Bandits with a Knapsack Constraint | |
| Baosheng Yu, Meng Fang, Dacheng Tao |
| Submodular Asymmetric Feature Selection in Cascade Object Detection | |
| Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin |
| Semisupervised Autoencoder for Sentiment Analysis | |
| Shuangfei Zhai, Zhongfei (Mark) Zhang |
| Simultaneous Feature and Sample Reduction for Image-Set Classification | |
| Man Zhang, Ran He, Dong Cao, Zhenan Sun, Tieniu Tan |
| Collective Noise Contrastive Estimation for Policy Transfer Learning | |
| Weinan Zhang, Ulrich Paquet, Katja Hofmann |
| Learning a Hybrid Architecture for Sequence Regression and Annotation | |
| Yizhe Zhang, Ricardo Henao, Lawrence Carin, Jianling Zhong, Alexander Hartemink |
| Pose-Dependent Low-Rank Embedding for Head Pose Estimation | |
| Handong Zhao, Zhengming Ding, Yun Fu |
| Cold-Start Heterogeneous-Device Wireless Localization | |
| Vincent W. Zheng, Hong Cao, Shenghua Gao, Aditi Adhikari, Miao Lin, Kevin Chen-Chuan Chang |
| Tracking Idea Flows between Social Groups | |
| Yangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, Yangqiu Song |
| Fast Hybrid Algorithm for Big Matrix Recovery | |
| Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu |
Technical Papers: Machine Learning Methods
| Data Poisoning Attacks against Autoregressive Models | |
| Scott Alfeld, Xiaojin Zhu, Paul Barford |
| Approximate K-Means++ in Sublinear Time | |
| Olivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause |
| Incremental Stochastic Factorization for Online Reinforcement Learning | |
| Andre M. S. Barreto, Rafael L. Beirigo, Joelle Pineau, Doina Precup |
| Increasing the Action Gap: New Operators for Reinforcement Learning | |
| Marc G. Bellemare, Georg Ostrovski, Arthur Guez, Philip S. Thomas, Remi Munos |
| Decoding Hidden Markov Models Faster Than Viterbi Via Online Matrix-Vector (max, +)-Multiplication | |
| Massimo Cairo, Gabriele Farina, Romeo Rizzi |
| Maximum Margin Dirichlet Process Mixtures for Clustering | |
| Gang Chen, Haiying Zhang, Caiming Xiong |
| Progressive EM for Latent Tree Models and Hierarchical Topic Detection | |
| Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen |
| Knowledge Transfer with Interactive Learning of Semantic Relationships | |
| Jonghyun Choi, Sung Ju Hwang, Leonid Sigal, Larry S. Davis |
| Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification | |
| Nguyen Viet Cuong, Nan Ye, Wee Sun Lee |
| Learning Step Size Controllers for Robust Neural Network Training | |
| Christian Daniel, Jonathan Taylor, Sebastian Nowozin |
| Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic | |
| Lorenzo De Stefani, Alessandro Epasto, Eli Upfal, Fabio Vandin |
| Generalised Brown Clustering and Roll-Up Feature Generation | |
| Leon Derczynski, Sean Chester |
| Random Composite Forests | |
| Giulia DeSalvo, Mehryar Mohri |
| The Ostomachion Process | |
| Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen |
| Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search | |
| Marco Fraccaro, Ulrich Paquet, Ole Winther |
| Fast Lasso Algorithm via Selective Coordinate Descent | |
| Yasuhiro Fujiwara, Yasutoshi Ida, Hiroaki Shiokawa, Sotetsu Iwamura |
| Group and Graph Joint Sparsity for Linked Data Classification | |
| Longwen Gao, Shuigeng Zhou |
| Risk Minimization in the Presence of Label Noise | |
| Wei Gao, Lu Wang, Yu-Feng li, Zhi-Hua Zhou |
| Decentralized Approximate Bayesian Inference for Distributed Sensor Network | |
| Behnam Gholami, Sejong Yoon, Vladimir Pavlovic |
| Assumed Density Filtering Methods for Learning Bayesian Neural Networks | |
| Soumya Ghosh, Francesco Maria Delle Fave, Jonathan Yedidia |
| Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster | |
| Jesse Glass, Mohamed Ghalwash, Milan Vukicevic, Zoran Obradovic |
| Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks | |
| Djordje Gligorijevic, Jelena Stojanovic, Zoran Obradovic |
| Teaching-to-Learn and Learning-to-Teach for Multi-label Propagation | |
| Chen Gong, Dacheng Tao, Jie Yang, Wei Liu |
| Discriminative Analysis Dictionary Learning | |
| Jun Guo, Yanqing Guo, Xiangwei Kong, Man Zhang, Ran He |
| Active Learning with Cross-Class Knowledge Transfer | |
| Yuchen Guo, Guiguang Ding, Yuqi Wang, Xiaoming Jin |
| Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis | |
| Assaf Hallak, Aviv Tamar, Remi Munos, Shie Mannor |
| Multi-Stage Multi-Task Learning with Reduced Rank | |
| Lei Han, Yu Zhang |
| Reduction Techniques for Graph-Based Convex Clustering | |
| Lei Han, Yu Zhang |
| SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream | |
| Ahsanul Haque, Latifur Khan, Michael Baron |
| Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness | |
| Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic |
| Discriminative Vanishing Component Analysis | |
| Chenping Hou, Feiping Nie, Dacheng Tao |
| Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression | |
| Ming Hou, Qibin Zhao, Brahim Chaib-draa, Andrzej Cichocki |
| Multi-Label Manifold Learning | |
| Peng Hou, Xin Geng, Min-Ling Zhang |
| Optimal Discrete Matrix Completion | |
| Zhouyuan Huo, Ji Liu, Heng Huang |
| Conservativeness of Untied Auto-Encoders | |
| Daniel Jiwoong Im, Mohamed Ishmael Belghazi, Roland Memisevic |
| Infinite Plaid Models for Infinite Bi-Clustering | |
| Katsuhiko Ishiguro, Issei Sato, Masahiro Nakano, Akisato Kimura, Naonori Ueda |
| Improving Predictive State Representations via Gradient Descent | |
| Nan Jiang, Alex Kulesza, Satinder Singh |
| A Probabilistic Approach to Knowledge Translation | |
| Shangpu Jiang, Daniel Lowd, Dejing Dou |
| The l2,1-Norm Stacked Robust Autoencoders for Domain Adaptation | |
| Wenhao Jiang, Hongchang Gao, Fu-lai Chung, Heng Huang |
| Wishart Mechanism for Differentially Private Principal Components Analysis | |
| Wuxuan Jiang, Cong Xie, Zhihua Zhang |
| Deep Learning with S-Shaped Rectified Linear Activation Units | |
| Xiaojie Jin, Chunyan Xu, Jiashi Feng, Yunchao Wei, Junjun Xiong, Shuicheng Yan |
| Delay-Tolerant Online Convex Optimization: Unified Analysis and Adaptive-Gradient Algorithms | |
| Pooria Joulani, Andras Gyorgy, Csaba Szepesvari |
| Shakeout: A New Regularized Deep Neural Network Training Scheme | |
| Guoliang Kang, Jun Li, Dacheng Tao |
| Bounded Optimal Exploration in MDP | |
| Kenji Kawaguchi |
| Uncorrelated Group LASSO | |
| Deguang Kong, Ji Liu, Bo Liu, Xuan Bao |
| Learning Future Classifiers without Additional Data | |
| Atsutoshi Kumagai, Tomoharu Iwata |
| Compressed Conditional Mean Embeddings for Model-Based Reinforcement Learning | |
| Guy Lever, John Shawe-Taylor, Ronnie Stafford, Csaba Szepesvari |
| Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks | |
| Chunyuan Li, Changyou Chen, David Carlson, Lawrence Carin |
| High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models | |
| Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin |
| Multi-Objective Self-Paced Learning | |
| Hao Li, Maoguo Gong, Deyu Meng, Qiguang Miao |
| Scalable Sequential Spectral Clustering | |
| Yeqing Li, Junzhou Huang, Wei Liu |
| Towards Safe Semi-Supervised Learning for Multivariate Performance Measures | |
| Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou |
| Accelerating Random Kaczmarz Algorithm Based on Clustering Information | |
| Yujun Li, Kaichun Mo, Haishan Ye |
| Fast and Accurate Refined Nyström-Based Kernel SVM | |
| Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin |
| How Important Is Weight Symmetry in Backpropagation? | |
| Qianli Liao, Joel Z. Leibo, Tomaso Poggio |
| Re-Active Learning: Active Learning with Relabeling | |
| Christopher H. Lin, M Mausam, Daniel S. Weld |
| Interaction Point Processes via Infinite Branching Model | |
| Peng Lin, Bang Zhang, Ting Guo, Yang Wang, Fang Chen |
| Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond | |
| Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet |
| Online ARIMA Algorithms for Time Series Prediction | |
| Chenghao Liu, Steven C.H. Hoi, Peilin Zhao, Jianling Sun |
| Consensus Guided Unsupervised Feature Selection | |
| Hongfu Liu, Ming Shao, Yun Fu |
| Sparse Perceptron Decision Tree for Millions of Dimensions | |
| Weiwei Liu, Ivor W. Tsang |
| Multiple Kernel k-Means Clustering with Matrix-Induced Regularization | |
| Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu |
| Finding One's Best Crowd: Online Learning By Exploiting Source Similarity | |
| Yang Liu, Mingyan Liu |
| Learning FRAME Models Using CNN Filters | |
| Yang Lu, Song-Chun Zhu, Ying Nian Wu |
| Sparse Latent Space Policy Search | |
| Kevin Sebastian Luck, Joni Pajarinen, Erik Berger, Ville Kyrki, Heni Ben Amor |
| Expected Tensor Decomposition with Stochastic Gradient Descent | |
| Takanori Maehara, Kohei Hayashi, Ken-ichi Kawarabayashi |
| Offline Evaluation of Online Reinforcement Learning Algorithms | |
| Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popović |
| Reinforcement Learning with Parameterized Actions | |
| Warwick Masson, Pravesh Ranchod, George Konidaris |
| Fixed-Rank Supervised Metric Learning on Riemannian Manifold | |
| Yadong Mu |
| All-in Text: Learning Document, Label, and Word Representations Jointly | |
| Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz |
| Holographic Embeddings of Knowledge Graphs | |
| Maximilian Nickel, Lorenzo Rosasco, Tomaso Poggio |
| New l1-Norm Relaxations and Optimizations for Graph Clustering | |
| Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang |
| The Constrained Laplacian Rank Algorithm for Graph-Based Clustering | |
| Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang |
| Efficient PAC-Optimal Exploration in Concurrent, Continuous State MDPs with Delayed Updates | |
| Jason Pazis, Ronald Parr |
| Viral Clustering: A Robust Method to Extract Structures in Heterogeneous Datasets | |
| Vahan Petrosyan, Alexandre Proutiere |
| Inverse Reinforcement Learning through Policy Gradient Minimization | |
| Matteo Pirotta, Marcello Restelli |
| Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions | |
| Hong Qian, Yang Yu |
| Selecting Near-Optimal Learners via Incremental Data Allocation | |
| Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro |
| Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization | |
| Fanhua Shang, Yuanyuan Liu, James Cheng |
| Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation | |
| Ming Shao, Zhengming Ding, Handong Zhao, Yun Fu |
| Metric Learning for Ordinal Data | |
| Yuan Shi, Wenzhe Li, Fei Sha |
| Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization | |
| Adish Singla, Sebastian Tschiatschek, Andreas Krause |
| Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization | |
| Yang Song, Jun Zhu |
| Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations | |
| Lukas Studer, Loic Paulevé, Christoph Zechner, Matthias Reumann, María Rodríguez Martínez, Heinz Koeppl |
| Return of Frustratingly Easy Domain Adaptation | |
| Baochen Sun, Jiashi Feng, Kate Saenko |
| On the Depth of Deep Neural Networks: A Theoretical View | |
| Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu |
| Linear-Time Learning on Distributions with Approximate Kernel Embeddings | |
| Dougal J. Sutherland, Junier B. Oliva, Barnabás Póczos, Jeff Schneider |
| Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data | |
| Mingkui Tan, Yan Yan, Li Wang, Anton Van Den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi |
| Algorithms for Differentially Private Multi-Armed Bandits | |
| Aristide C. Y. Tossou, Christos Dimitrakakis |
| Deep Reinforcement Learning with Double Q-Learning | |
| Hado van Hasselt, Arthur Guez, David Silver |
| Online Instrumental Variable Regression with Applications to Online Linear System Identification | |
| Arun Venkatraman, Wen Sun, Martial Hebert, J. Andrew Bagnell, Byron Boots |
| The Hidden Convexity of Spectral Clustering | |
| James Voss, Mikhail Belkin, Luis Rademacher |
| Multitask Generalized Eigenvalue Program | |
| Boyu Wang, Joelle Pineau, Borja Balle |
| Product Grassmann Manifold Representation and Its LRR Models | |
| Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin |
| Text Classification with Heterogeneous Information Network Kernels | |
| Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han |
| Semi-Supervised Dictionary Learning via Structural Sparse Preserving | |
| Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye |
| Relational Knowledge Transfer for Zero-Shot Learning | |
| Donghui Wang, Yanan Li, Yuetan Lin, Yueting Zhuang |
| Optimizing Multivariate Performance Measures from Multi-View Data | |
| Jim Jing-Yan Wang, Ivor Wai-Hung Tsang, Xin Gao |
| An Efficient Time Series Subsequence Pattern Mining and Prediction Framework with an Application to Respiratory Motion Prediction | |
| Shouyi Wang, Kinming Kam, Cao Xiao, Stephen Bowen, Wanpracha Art Chaovalitwongse |
| Co-Regularized PLSA for Multi-Modal Learning | |
| Xin Wang, MingChing Chang, Yiming Ying, Siwei Lyu |
| Toward a Better Understanding of Deep Neural Network Based Acoustic Modelling: An Empirical Investigation | |
| Xingfu Wang, Lin Wang, Jing Chen, Litao Wu |
| Noise-Adaptive Margin-Based Active Learning and Lower Bounds under Tsybakov Noise Condition | |
| Yining Wang, Aarti Singh |
| Learning by Transferring from Unsupervised Universal Sources | |
| Yu-Xiong Wang, Martial Hebert |
| Learning Deep ℓ0 Encoders | |
| Zhangyang Wang, Qing Ling, Thomas S. Huang |
| Adaptive Normalized Risk-Averting Training for Deep Neural Networks | |
| Zhiguang Wang, Tim Oates, James Lo |
| Nonlinear Feature Extraction with Max-Margin Data Shifting | |
| Jianqiao Wangni, Ning Chen |
| Unsupervised Feature Selection on Networks: A Generative View | |
| Xiaokai Wei, Bokai Cao, Philip S. Yu |
| Model-Free Preference-Based Reinforcement Learning | |
| Christian Wirth, Johannes Fürnkranz, Gerhard Neumann |
| Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning | |
| Baoyuan Wu, Siwei Lyu, Bernard Ghanem |
| Representing Sets of Instances for Visual Recognition | |
| Jianxin Wu, Bin-Bin Gao, Guoqing Liu |
| Robust Semi-Supervised Learning through Label Aggregation | |
| Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang |
| Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification | |
| Meng Yang, Weiyang Liu, Weixin Luo, Linlin Shen |
| Efficient Average Reward Reinforcement Learning Using Constant Shifting Values | |
| Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen |
| Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach | |
| Shuo Yang, Tushar Khot, Kristian Kersting, Sriraam Natarajan |
| Instance Specific Metric Subspace Learning: A Bayesian Approach | |
| Han-Jia Ye, De-Chuan Zhan, Yuan Jiang |
| Scalable Completion of Nonnegative Matrix with Separable Structure | |
| Xiyu Yu, Wei Bian, Dacheng Tao |
| Derivative-Free Optimization via Classification | |
| Yang Yu, Hong Qian, Yi-Qi Hu |
| On Order-Constrained Transitive Distance Clustering | |
| Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar |
| A Proximal Alternating Direction Method for Semi-Definite Rank Minimization | |
| Ganzhao Yuan, Bernard Ghanem |
| Learning Expected Hitting Time Distance | |
| De-Chuan Zhan, Peng Hu, Zui Chu, Zhi-Hua Zhou |
| Stochastic Optimization for Kernel PCA | |
| Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou |
| Asynchronous Distributed Semi-Stochastic Gradient Optimization | |
| Ruiliang Zhang, Shuai Zheng, James T. Kwok |
| An Alternating Proximal Splitting Method with Global Convergence for Nonconvex Structured Sparsity Optimization | |
| Shubao Zhang, Hui Qian, Xiaojin Gong |
| Accelerated Sparse Linear Regression via Random Projection | |
| Weizhong Zhang, Lijun Zhang, Rong Jin, Deng Cai, Xiaofei He |
| Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver | |
| Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu |
| Near-Optimal Active Learning of Multi-Output Gaussian Processes | |
| Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan Kankanhalli |
| Multi-Domain Active Learning for Recommendation | |
| Zihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang |
| On the Differential Privacy of Bayesian Inference | |
| Zuhe Zhang, Benjamin I. P. Rubinstein, Christos Dimitrakakis |
| A Scalable and Extensible Framework for Superposition-Structured Models | |
| Shenjian Zhao, Cong Xie, Zhihua Zhang |
| Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee | |
| Shen-Yi Zhao, Wu-Jun Li |
| DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays | |
| Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian Molloy, Suresh Chari |
| Fast Nonsmooth Regularized Risk Minimization with Continuation | |
| Shuai Zheng, Ruiliang Zhang, James T. Kwok |
| Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction | |
| Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Shen-Shyang Ho |
| Veto-Consensus Multiple Kernel Learning | |
| Yuxun Zhou, Ninghang Hu, Costas J. Spanos |
| Deep Hashing Network for Efficient Similarity Retrieval | |
| Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao |
| Coupled Dictionary Learning for Unsupervised Feature Selection | |
| Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo |
| Stochastic Parallel Block Coordinate Descent for Large-Scale Saddle Point Problems | |
| Zhanxing Zhu, Amos J. Storkey |
Technical Papers: Multiagent Systems
| Temporal Vaccination Games under Resource Constraints | |
| Abhijin Adiga, Anil Vullikanti |
| Detection of Plan Deviation in Multi-Agent Systems | |
| Bikramjit Banerjee, Steven Loscalzo, Daniel Lucas Thompson |
| Complexity of Shift Bribery in Committee Elections | |
| Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Nimrod Talmon |
| Global Model Checking on Pushdown Multi-Agent Systems | |
| Taolue Chen, Fu Song, Zhilin Wu |
| Frugal Bribery in Voting | |
| Palash Dey, Neeldhara Misra, Y. Narahari |
| Target Surveillance in Adversarial Environments Using POMDPs | |
| Maxim Egorov, Mykel J. Kochenderfer, Jaak J. Uudmae |
| Multi-Variable Agents Decomposition for DCOPs | |
| Ferdinando Fioretto, William Yeoh, Enrico Pontelli |
| Implicit Coordination in Crowded Multi-Agent Navigation | |
| Julio Erasmo Godoy, Ioannis Karamouzas, Stephen J. Guy, Maria Gini |
| Emergence of Social Punishment and Cooperation through Prior Commitments | |
| The Anh Han |
| Efficient Computation of Emergent Equilibrium in Agent-Based Simulation | |
| Zehong Hu, Meng Sha, Moath Jarrah, Jie Zhang, Hui Xi |
| Strengthening Agents Strategic Ability with Communication | |
| Xiaowei Huang, Qingliang Chen, Kaile Su |
| Model Checking Probabilistic Knowledge: A PSPACE Case | |
| Xiaowei Huang, Marta Kwiatkowska |
| Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments | |
| Miao Liu, Christopher Amato, Emily P. Anesta, John Daniel Griffith, Jonathan P How |
| Bayesian Learning of Other Agents' Finite Controllers for Interactive POMDPs | |
| Alessandro Panella, Piotr Gmytrasiewicz |
| Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs | |
| Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer |
| ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains | |
| Vaibhav V. Unhelkar, Julie A. Shah |
| Is It Harmful When Advisors Only Pretend to Be Honest? | |
| Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu |
| Robust Execution of BDI Agent Programs by Exploiting Synergies Between Intentions | |
| Yuan Yao, Brian Logan, John Thangarajah |
Technical Papers: NLP and Knowledge Representation
| Short Text Representation for Detecting Churn in Microblogs | |
| Hadi Amiri, Hal Daume III |
| Topic Concentration in Query Focused Summarization Datasets | |
| Tal Baumel, Raphael Cohen, Michael Elhadad |
| Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions | |
| Peter Clark, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Turney, Daniel Khashabi |
| Verb Pattern: A Probabilistic Semantic Representation on Verbs | |
| Wanyun Cui, Xiyou Zhou, Hangyu Lin, Yanghua Xiao, Haixun Wang, Seung-won Hwang, Wei Wang |
| ExTaSem! Extending, Taxonomizing and Semantifying Domain Terminologies | |
| Luis Espinosa-Anke, Horacio Saggion, Francesco Ronzano, Roberto Navigli |
| A Unified Bayesian Model of Scripts, Frames and Language | |
| Francis Ferraro, Benjamin Van Durme |
| Single or Multiple? Combining Word Representations Independently Learned from Text and WordNet | |
| Josu Goikoetxea, Eneko Agirre, Aitor Soroa |
| Representing Verbs as Argument Concepts | |
| Yu Gong, Kaiqi Zhao, Kenny Qili Zhu |
| A Generative Model of Words and Relationships from Multiple Sources | |
| Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Rätsch |
| Agreement on Target-Bidirectional LSTMs for Sequence-to-Sequence Learning | |
| Lemao Liu, Andrew Finch, Masao Utiyama, Eiichiro Sumita |
| Fine-Grained Semantic Conceptualization of FrameNet | |
| Jin-woo Park, Seung-won Hwang, Haixun Wang |
| Dependency Tree Representations of Predicate-Argument Structures | |
| Likun Qiu, Yue Zhang, Meishan Zhang |
| Complementing Semantic Roles with Temporally Anchored Spatial Knowledge: Crowdsourced Annotations and Experiments | |
| Alakananda Vempala, Eduardo Blanco |
| Representation Learning of Knowledge Graphs with Entity Descriptions | |
| Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun |
| Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in Twitter | |
| Chen Xing, Yuan Wang, Jie Liu, Yalou Huang, Wei-Ying Ma |
| PEAK: Pyramid Evaluation via Automated Knowledge Extraction | |
| Qian Yang, Rebecca J. Passonneau, Gerard de Melo |
Technical Papers: NLP and Machine Learning
| Instructable Intelligent Personal Agent | |
| Amos Azaria, Jayant Krishnamurthy, Tom M. Mitchell |
| Joint Word Representation Learning Using a Corpus and a Semantic Lexicon | |
| Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi |
| Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text | |
| Snigdha Chaturvedi, Dan Goldwasser, Hal Daume III |
| Modeling Evolving Relationships Between Characters in Literary Novels | |
| Snigdha Chaturvedi, Shashank Srivastava, Hal Daume III, Chris Dyer |
| Jointly Modeling Topics and Intents with Global Order Structure | |
| Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang |
| Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text | |
| Sahil Garg, Aram Galstyan, Ulf Hermjakob, Daniel Marcu |
| What Happens Next? Event Prediction Using a Compositional Neural Network Model | |
| Mark Granroth-Wilding, Stephen Clark |
| A Representation Learning Framework for Multi-Source Transfer Parsing | |
| Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu |
| Character-Aware Neural Language Models | |
| Yoon Kim, Yacine Jernite, David Sontag, Alexander M. Rush |
| Implicit Discourse Relation Classification via Multi-Task Neural Networks | |
| Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui |
| Convolution Kernels for Discriminative Learning from Streaming Text | |
| Michal Lukasik, Trevor Cohn |
| Numerical Relation Extraction with Minimal Supervision | |
| Aman Madaan, Ashish Mittal, . Mausam, Ganesh Ramakrishnan, Sunita Sarawagi |
| Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences | |
| Hongyuan Mei, Mohit Bansal, Matthew R. Walter |
| Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and Reasoning | |
| Arindam Mitra, Chitta Baral |
| Siamese Recurrent Architectures for Learning Sentence Similarity | |
| Jonas Mueller, Aditya Thyagarajan |
| Text Matching as Image Recognition | |
| Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng |
| Learning Statistical Scripts with LSTM Recurrent Neural Networks | |
| Karl Pichotta, Raymond J. Mooney |
| Inferring Interpersonal Relations in Narrative Summaries | |
| Shashank Srivastava, Snigdha Chaturvedi, Tom Mitchell |
| Evaluation of Semantic Dependency Labeling Across Domains | |
| Svetlana Stoyanchev, Amanda Stent, Srinivas Bangalore |
| Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations | |
| Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| Non-Linear Similarity Learning for Compositionality | |
| Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto |
| A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations | |
| Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng |
| Morphological Segmentation with Window LSTM Neural Networks | |
| Linlin Wang, Zhu Cao, Yu Xia, Gerard de Melo |
| Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching | |
| Michael Wick, Pallika Kanani, Adam Pocock |
| Syntactic Skeleton-Based Translation | |
| Tong Xiao, Jingbo Zhu, Chunliang Zhang, Tongran Liu |
| A Morphology-Aware Network for Morphological Disambiguation | |
| Eray Yildiz, Caglar Tirkaz, H. Bahadır Sahin, Mustafa Tolga Eren, Omer Ozan Sonmez |
| Building Earth Mover's Distance on Bilingual Word Embeddings for Machine Translation | |
| Meng Zhang, Yang Liu, Huanbo Luan, Maosong Sun, Tatsuya Izuha, Jie Hao |
| Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint | |
| Li Zhao, Minlie Huang, Ziyu Yao, Rongwei Su, Yingying Jiang, Xiaoyan Zhu |
Technical Papers: NLP and Text Mining
| Labeling the Semantic Roles of Commas | |
| Naveen Arivazhagan, Christos Christodoulopoulos, Dan Roth |
| Collective Supervision of Topic Models for Predicting Surveys with Social Media | |
| Adrian Benton, Michael J. Paul, Braden Hancock, Mark Dredze |
| Distant IE by Bootstrapping Using Lists and Document Structure | |
| Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen |
| TGSum: Build Tweet Guided Multi-Document Summarization Dataset | |
| Ziqiang Cao, Chengyao Chen, Wenjie Li, Sujian Li, Furu Wei, Ming Zhou |
| Joint Inference over a Lightly Supervised Information Extraction Pipeline: Towards Event Coreference Resolution for Resource-Scarce Languages | |
| Chen Chen, Vincent Ng |
| Discourse Relations Detection via a Mixed Generative-Discriminative Framework | |
| Jifan Chen, Qi Zhang, Pengfei Liu, Xuanjing Huang |
| Age of Exposure: A Model of Word Learning | |
| Mihai Dascalu, Danielle S. McNamara, Scott Crossley, Stefan Trausan-Matu |
| Acquiring Knowledge of Affective Events from Blogs Using Label Propagation | |
| Haibo Ding, Ellen Riloff |
| To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation | |
| Christian Hadiwinoto, Yang Liu, Hwee Tou Ng |
| Global Distant Supervision for Relation Extraction | |
| Xianpei Han, Le Sun |
| Extracting Topical Phrases from Clinical Documents | |
| Yulan He |
| Topical Analysis of Interactions Between News and Social Media | |
| Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| News Verification by Exploiting Conflicting Social Viewpoints in Microblogs | |
| Zhiwei Jin, Juan Cao, Yongdong Zhang, Jiebo Luo |
| Argument Mining from Speech: Detecting Claims in Political Debates | |
| Marco Lippi, Paolo Torroni |
| Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect Associations | |
| Qian Liu, Bing Liu, Yuanlin Zhang, Doo Soon Kim, Zhiqiang Gao |
| A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification | |
| Shulin Liu, Kang Liu, Shizhu He, Jun Zhao |
| Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding | |
| Guangyi Lv, Tong Xu, Enhong Chen, Qi Liu, Yi Zheng |
| Joint Word Segmentation, POS-Tagging and Syntactic Chunking | |
| Chen Lyu, Yue Zhang, Donghong Ji |
| Microsummarization of Online Reviews: An Experimental Study | |
| Rebecca Mason, Benjamin Gaska, Benjamin Van Durme, Pallavi Choudhury, Ted Hart, Bill Dolan, Kristina Toutanova, Margaret Mitchell |
| A Semi-Supervised Learning Approach to Why-Question Answering | |
| Jong-Hoon Oh, Kentaro Torisawa, Chikara Hashimoto, Ryu Iida, Masahiro Tanaka, Julien Kloetzer |
| Discovering User Attribute Stylistic Differences via Paraphrasing | |
| Daniel Preotiuc-Pietro, Wei Xu, Lyle Ungar |
| Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word Embeddings | |
| Yafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji |
| Temporal Topic Analysis with Endogenous and Exogenous Processes | |
| Baiyang Wang, Diego Klabjan |
| Identifying Search Keywords for Finding Relevant Social Media Posts | |
| Shuai Wang, Zhiyuan Chen, Bing Liu, Sherry Emery |
| Personalized Microblog Sentiment Classification via Multi-Task Learning | |
| Fangzhao Wu, Yongfeng Huang |
| Improving Recommendation of Tail Tags for Questions in Community Question Answering | |
| Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou |
| Exploring Multiple Feature Spaces for Novel Entity Discovery | |
| Zhaohui Wu, Yang Song, C. Lee Giles |
| Tweet Timeline Generation with Determinantal Point Processes | |
| Jin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Chang, Jianguo Xiao |
| Gated Neural Networks for Targeted Sentiment Analysis | |
| Meishan Zhang, Yue Zhang, Duy-Tin Vo |
| A Joint Model for Question Answering over Multiple Knowledge Bases | |
| Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao |
| A Joint Model for Entity Set Expansion and Attribute Extraction from Web Search Queries | |
| Zhenzhong Zhang, Le Sun, Xianpei Han |
| Aggregating Inter-Sentence Information to Enhance Relation Extraction | |
| Hao Zheng, Zhoujun Li, Senzhang Wang, Zhao Yan, Jianshe Zhou |
Technical Papers: Planning and Scheduling
| Dynamic Controllability of Disjunctive Temporal Networks: Validation and Synthesis of Executable Strategies | |
| Alessandro Cimatti, Andrea Micheli, Marco Roveri |
| Truncated Approximate Dynamic Programming with Task-Dependent Terminal Value | |
| Amir-massoud Farahmand, Daniel N. Nikovski, Yuji Igarashi, Hiroki Konaka |
| General Error Bounds in Heuristic Search Algorithms for Stochastic Shortest Path Problems | |
| Eric A. Hansen, Ibrahim Abdoulahi |
| Solving Risk-Sensitive POMDPs With and Without Cost Observations | |
| Ping Hou, William Yeoh, Pradeep Varakantham |
| Randomised Procedures for Initialising and Switching Actions in Policy Iteration | |
| Shivaram Kalyanakrishnan, Neeldhara Misra, Aditya Gopalan |
| Goal Recognition Design with Non-Observable Actions | |
| Sarah Keren, Avigdor Gal, Erez Karpas |
| Computing Contingent Plans Using Online Replanning | |
| Radimir Komarnitsky, Guy Shani |
| Multi-Agent Path Finding with Payload Transfers and the Package-Exchange Robot-Routing Problem | |
| Hang Ma, Craig Tovey, Guni Sharon, T. K. Satish Kumar, Sven Koenig |
| Solving Transition-Independent Multi-Agent MDPs with Sparse Interactions | |
| Joris Scharpff, Diederik M. Roijers, Frans A. Oliehoek, Matthijs T. J. Spaan, Mathijs M. de Weerdt |
| Solving Goal Recognition Design Using ASP | |
| Tran Cao Son, Orkunt Sabuncu, Christian Schulz-Hanke, Torsten Schaub, William Yeoh |
| Efficient Macroscopic Urban Traffic Models for Reducing Congestion: A PDDL+ Planning Approach | |
| Mauro Vallati, Daniele Magazzeni, Bart De Schutter, Lukas Chrpa, Thomas Leo McCluskey |
| A Proactive Sampling Approach to Project Scheduling under Uncertainty | |
| Pradeep Varakantham, Na Fu, Hoong Chuin Lau |
| A POMDP Formulation of Proactive Learning | |
| Kyle Hollins Wray, Shlomo Zilberstein |
| Approximation Algorithms for Route Planning with Nonlinear Objectives | |
| Ger Yang, Evdokia Nikolova |
Technical Papers: Reasoning under Uncertainty
| Approximate Probabilistic Inference via Word-Level Counting | |
| Supratik Chakraborty, Kuldeep S. Meel, Rakesh Mistry, Moshe Y. Vardi |
| A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPs | |
| Krishnendu Chatterjee, Martin Chmelík, Jessica Davies |
| Structured Features in Naive Bayes Classification | |
| Arthur Choi, Nazgol Tavabi, Adnan Darwiche |
| On Parameter Tying by Quantization | |
| Li Chou, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate |
| Exact Sampling with Integer Linear Programs and Random Perturbations | |
| Carolyn Kim, Ashish Sabharwal, Stefano Ermon |
| From Exact to Anytime Solutions for Marginal MAP | |
| Junkyu Lee, Radu Marinescu, Rina Dechter, Alexander Ihler |
| On Learning Causal Models from Relational Data | |
| Sanghack Lee, Vasant Honavar |
| Online Spatio-Temporal Matching in Stochastic and Dynamic Domains | |
| Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet |
| Scaling Relational Inference Using Proofs and Refutations | |
| Ravi Mangal, Xin Zhang, Aditya Kamath, Aditya V. Nori, Mayur Naik |
| Closed-Form Gibbs Sampling for Graphical Models with Algebraic Constraints | |
| Hadi Mohasel Afshar, Scott Sanner, Christfried Webers |
| Learning Bayesian Networks with Bounded Tree-width via Guided Search | |
| Siqi Nie, Cassio P. de Campos, Qiang Ji |
| Learning Ensembles of Cutset Networks | |
| Tahrima Rahman, Vibhav Gogate |
| RAO*: An Algorithm for Chance-Constrained POMDP's | |
| Pedro Henrique Rodrigues Quemel e Assis Santana, Sylvie Thiébaux, Brian Williams |
| Separators and Adjustment Sets in Markov Equivalent DAGs | |
| Benito van der Zander, Maciej Liskiewicz |
| Closing the Gap Between Short and Long XORs for Model Counting | |
| Shengjia Zhao, Sorathan Chaturapruek, Ashish Sabharwal, Stefano Ermon |
Technical Papers: Search and Constraint Satisfaction
| Component Caching in Hybrid Domains with Piecewise Polynomial Densities | |
| Vaishak Belle, Guy Van den Broeck, Andrea Passerini |
| The Meta-Problem for Conservative Mal'tsev Constraints | |
| Clement Carbonnel |
| Steiner Tree Problems with Side Constraints Using Constraint Programming | |
| Diego de Uña, Graeme Gange, Peter Schachte, Peter J. Stuckey |
| Alternative Filtering for the Weighted Circuit Constraint: Comparing Lower Bounds for the TSP and Solving TSPTW | |
| Sylvain Ducomman, Hadrien Cambazard, Bernard Penz |
| Using the Shapley Value to Analyze Algorithm Portfolios | |
| Alexandre Fréchette, Lars Kotthoff, Tomasz Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown |
| On the Extraction of One Maximal Information Subset That Does Not Conflict with Multiple Contexts | |
| Éric Grégoire, Yacine Izza, Jean-Marie Lagniez |
| Bidirectional Search That Is Guaranteed to Meet in the Middle | |
| Robert C. Holte, Ariel Felner, Guni Sharon, Nathan R. Sturtevant |
| Breaking More Composition Symmetries Using Search Heuristics | |
| Jimmy H. M. Lee, Zichen Zhu |
| Increasing Nogoods in Restart-Based Search | |
| Jimmy H. M. Lee, Christian Schulte, Zichen Zhu |
| Exponential Recency Weighted Average Branching Heuristic for SAT Solvers | |
| Jia Hui Liang, Vijay Ganesh, Pascal Poupart, Krzysztof Czarnecki |
| Counting-Based Search for Constraint Optimization Problems | |
| Gilles Pesant |
Technical Papers: Robotics
| Distance Minimization for Reward Learning from Scored Trajectories | |
| Benjamin Burchfiel, Carlo Tomasi, Ronald Parr |
| Efficient Spatio-Temporal Tactile Object Recognition with Randomized Tiling Convolutional Networks in a Hierarchical Fusion Strategy | |
| Lele Cao, Ramamohanarao Kotagiri, Fuchun Sun, Hongbo Li, Wenbing Huang, Zay Maung Maung Aye |
| Continual Planning in Golog | |
| Till Hofmann, Tim Niemueller, Jens Claßen, Gerhard Lakemeyer |
| Selectively Reactive Coordination for a Team of Robot Soccer Champions | |
| Juan Pablo Mendoza, Joydeep Biswas, Philip Cooksey, Richard Wang, Steven Klee, Danny Zhu, Manuela Veloso |
| Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks | |
| Peter Ondruska, Ingmar Posner |
Technical Papers: Vision
| Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects | |
| Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi |
| Deep Quantization Network for Efficient Image Retrieval | |
| Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen |
| Dynamic Concept Composition for Zero-Example Event Detection | |
| Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann |
| Face Video Retrieval via Deep Learning of Binary Hash Representations | |
| Zhen Dong, Su Jia, Tianfu Wu, Mingtao Pei |
| Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos | |
| Mohamed Elhoseiny, Jingen Liu, Hui Cheng, Harpreet Sawhney, Ahmed Elgammal |
| Concepts Not Alone: Exploring Pairwise Relationships for Zero-Shot Video Activity Recognition | |
| Chuang Gan, Ming Lin, Yi Yang, Gerard de Melo, Alexander G. Hauptmann |
| Transductive Zero-Shot Recognition via Shared Model Space Learning | |
| Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang |
| Reading Scene Text in Deep Convolutional Sequences | |
| Pan He, Weilin Huang, Yu Qiao, Chen Change Loy, Xiaoou Tang |
| Structured Output Prediction for Semantic Perception in Autonomous Vehicles | |
| Rein Houthooft, Cedric De Boom, Stijn Verstichel, Femke Ongenae, Filip De Turck |
| Robust Complex Behaviour Modeling at 90Hz | |
| Xiangyu Kong, Yizhou Wang, Tao Xiang |
| Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach | |
| Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal |
| Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision | |
| Marius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar |
| Decentralized Robust Subspace Clustering | |
| Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas |
| Articulated Pose Estimation Using Hierarchical Exemplar-Based Models | |
| Jiongxin Liu, Yinxiao Li, Peter Allen, Peter Belhumeur |
| Multi-View 3D Human Tracking in Crowded Scenes | |
| Xiaobai Liu |
| Face Model Compression by Distilling Knowledge from Neurons | |
| Ping Luo, Zhenyao Zhu, Ziwei Liu, Xiaogang Wang, Xiaoou Tang |
| Learning to Answer Questions from Image Using Convolutional Neural Network | |
| Lin Ma, Zhengdong Lu, Hang Li |
| SentiCap: Generating Image Descriptions with Sentiments | |
| Alexander Patrick Mathews, Lexing Xie, Xuming He |
| Look, Listen and Learn — A Multimodal LSTM for Speaker Identification | |
| Jimmy Ren, Yongtao Hu, Yu-Wing Tai, Chuan Wang, Li Xu, Wenxiu Sun, Qiong Yan |
| Toward a Taxonomy and Computational Models of Abnormalities in Images | |
| Babak Saleh, Ahmed Elgammal, Jacob Feldman, Ali Farhadi |
| Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain Adaptation | |
| Yao-Hung Hubert Tsai, Cheng-An Hou, Wei-Yu Chen, Yi-Ren Yeh, Yu-Chiang Frank Wang |
| Recognizing Actions in 3D Using Action-Snippets and Activated Simplices | |
| Chunyu Wang, John Flynn, Yizhou Wang, Alan Yuille |
| DARI: Distance Metric and Representation Integration for Person Verification | |
| Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang |
| Video Semantic Clustering with Sparse and Incomplete Tags | |
| Jingya Wang, Xiatian Zhu, Shaogang Gong |
| Path Following with Adaptive Path Estimation for Graph Matching | |
| Tao Wang, Haibin Ling |
| Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features | |
| Fangting Xia, Jun Zhu, Peng Wang, Alan L. Yuille |
| Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair | |
| Hao Xiong, Tongliang Liu, Dacheng Tao |
| Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation | |
| Yang Yang, Zhen Lei, Shifeng Zhang, Hailin Shi, Stan Z. Li |
| Large Scale Similarity Learning Using Similar Pairs for Person Verification | |
| Yang Yang, Shengcai Liao, Zhen Lei, Stan Z. Li |
| Unsupervised Co-Activity Detection from Multiple Videos Using Absorbing Markov Chain | |
| Donghun Yeo, Bohyung Han, Joon Hee Han |
| Discrete Image Hashing Using Large Weakly Annotated Photo Collections | |
| Hanwang Zhang, Na Zhao, Xindi Shang, Huanbo Luan, Tat-seng Chua |
| Group Cost-Sensitive Boosting for Multi-Resolution Pedestrian Detection | |
| Chao Zhu, Yuxin Peng |
| Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval | |
| Fan Zhu, Jin Xie, Yi Fang |
| MC-HOG Correlation Tracking with Saliency Proposal | |
| Guibo Zhu, Jinqiao Wang, Yi Wu, Xiaoyu Zhang, Hanqing Lu |
| Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks | |
| Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie |
Special Track: Cognitive Systems
| Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science | |
| Satabdi Basu, Gautam Biswas, John S. Kinnebrew |
| MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated Autonomy | |
| Michael T. Cox, Zohreh Alavi, Dustin Dannenhauer, Vahid Eyorokon, Hector Munoz-Avila, Don Perlis |
| Commonsense Interpretation of Triangle Behavior | |
| Andrew S. Gordon |
| Surprise-Triggered Reformulation of Design Goals | |
| Kazjon Grace, Mary Lou Maher |
| Visual Learning of Arithmetic Operation | |
| Yedid Hoshen, Shmuel Peleg |
| Modeling Human Ad Hoc Coordination | |
| Peter M. Krafft, Chris L. Baker, Alex "Sandy" Pentland, Joshua B. Tenenbaum |
| Predicting Readers' Sarcasm Understandability by Modeling Gaze Behavior | |
| Abhijit Mishra, Diptesh Kanojia, Pushpak Bhattacharyya |
| Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model | |
| Ryo Nakahashi, Chris L. Baker, Joshua B. Tenenbaum |
| Unsupervised Lexical Simplification for Non-Native Speakers | |
| Gustavo H. Paetzold, Lucia Specia |
| QART: A System for Real-Time Holistic Quality Assurance for Contact Center Dialogues | |
| Shourya Roy, Ragunathan Mariappan, Sandipan Dandapat, Saurabh Srivastava, Sainyam Galhotra, Balaji Peddamuthu |
| Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models | |
| Iulian V. Serban, Alessandro Sordoni, Yoshua Bengio, Aaron Courville, Joelle Pineau |
Special Track: Computational Sustainability
| Achieving Stable and Fair Profit Allocation with Minimum Subsidy in Collaborative Logistics | |
| Lucas Agussurja, Hoong Chuin Lau, Shih-Fen Cheng |
| Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations | |
| Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit Sheth, Tanvi Banerjee |
| An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid | |
| Sambaran Bandyopadhyay, Ramasuri Narayanam, Pratyush Kumar, Sarvapali Ramchurn, Vijay Arya, Iskandarbin Petra |
| Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity | |
| Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Matthew Betts |
| Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time | |
| Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath |
| Understanding Dominant Factors for Precipitation over the Great Lakes Region | |
| Soumyadeep Chatterjee, Stefan Liess, Arindam Banerjee, Vipin Kumar |
| A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection | |
| Kai Fan, Chunyuan Li, Katherine Heller |
| Topic Models to Infer Socio-Economic Maps | |
| Lingzi Hong, Enrique Frias-Martinez, Vanessa Frias-Martinez |
| Energy- and Cost-Efficient Pumping Station Control | |
| Timon V. Kanters, Frans A. Oliehoek, Michael Kaisers, Stan R. van den Bosch, Joep Grispen, Jeroen Hermans |
| Shortest Path Based Decision Making Using Probabilistic Inference | |
| Akshat Kumar |
| Robust Decision Making for Stochastic Network Design | |
| Akshat Kumar, Arambam James Singh, Pradeep Varakantham, Daniel Sheldon |
| Optimizing Infrastructure Enhancements for Evacuation Planning | |
| Kunal Kumar, Julia Romanski, Pascal Van Hentenryck |
| Spatially Regularized Streaming Sensor Selection | |
| Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang |
| Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security | |
| Sara Marie Mc Carthy, Milind Tambe, Christopher Kiekintveld, Meredith L. Gore, Alex Killion |
| Big-Data Mechanisms and Energy-Policy Design | |
| Ankit Pat, Kate Larson, Srinivasen Keshav |
| Benders Decomposition for Large-Scale Prescriptive Evacuations | |
| Julia Romanski, Pascal Van Hentenryck |
| Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression | |
| Ransalu Senanayake, Simon O'Callaghan, Fabio Ramos |
| Intelligent Habitat Restoration Under Uncertainty | |
| Tommaso Urli, Jana Brotánková, Philip Kilby, Pascal Van Hentenryck |
| Adaptable Regression Method for Ensemble Consensus Forecasting | |
| John K. Williams, Peter P. Neilley, Joseph P. Koval, Jeff McDonald |
| Optimizing Resilience in Large Scale Networks | |
| Xiaojian Wu, Daniel Sheldon, Shlomo Zilberstein |
| Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping | |
| Michael Xie, Neal Jean, Marshall Burke, David Lobell, Stefano Ermon |
| An Algorithm to Coordinate Measurements Using Stochastic Human Mobility Patterns in Large-Scale Participatory Sensing Settings | |
| Alexandros Zenonos, Sebastian Stein, Nicholas R. Jennings |
Special Track: Integrated AI Capabilities
| Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer's Disease | |
| Peng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie |
| Affective Personalization of a Social Robot Tutor for Children’s Second Language Skills | |
| Goren Gordon, Samuel Spaulding, Jacqueline Kory Westlund, Jin Joo Lee, Luke Plummer, Marayna Martinez, Madhurima Das, Cynthia Breazeal |
| A Framework for Resolving Open-World Referential Expressions in Distributed Heterogeneous Knowledge Bases | |
| Tom Williams, Matthias Scheutz |
EAAI Symposium Full Paper
| Using Domain Knowledge to Improve Monte-Carlo Tree Search Performance in Parameterized Poker Squares | |
| Robert Arrington, Clay Langley, Steven Bogaerts |
| BeeMo, a Monte Carlo Simulation Agent for Playing Parameterized Poker Squares | |
| Karo Castro-Wunsch, William Maga, Calin Anton |
| Conceptualizing Curse of Dimensionality with Parallel Coordinates | |
| G. Devi, Charu Chauhan, Sutanu Chakraborti |
| Teaching Big Data Analytics Skills with Intelligent Workflow Systems | |
| Yolanda Gil |
| Design of an Online Course on Knowledge-Based AI | |
| Ashok K. Goel, David A. Joyner |
| Learning and Using Hand Abstraction Values for Parameterized Poker Squares | |
| Todd W. Neller, Colin M. Messinger, Zuozhi Yang |
| Creating Interactive and Visual Educational Resources for AI | |
| Sameer Singh, Sebastian Riedel |
| From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences | |
| Nicole Sintov, Debarun Kar, Thanh Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe |
| The Turing Test in the Classroom | |
| Lisa Torrey, Karen Johnson, Sid Sondergard, Pedro Ponce, Laura Desmond |
| A Survey of Current Practice and Teaching of AI | |
| Michael Wollowski, Robert Selkowitz, Laura E. Brown, Ashok Goel, George Luger, Jim Marshall, Andrew Neel, Todd Neller, Peter Norvig |
EAAI Symposium Poster Paper
| IRobot: Teaching the Basics of Artificial Intelligence in High Schools | |
| Harald Burgsteiner, Martin Kandlhofer, Gerald Steinbauer |
| A.I. as an Introduction to Research Methods in Computer Science | |
| Raghuram Ramanujan |
| An Online Logic Programming Development Environment | |
| Christian Reotutar, Mbathio Diagne, Evgenii Balai, Edward Wertz, Peter Lee, Shao-Lon Yeh, Yuanlin Zhang |
| Using Declarative Programming in an Introductory Computer Science Course for High School Students | |
| Maritza Reyes, Cynthia Perez, Rocky Upchurch, Timothy Yuen, Yuanlin Zhang |
| Teaching Automated Strategic Reasoning Using Capstone Tournaments | |
| Oscar Veliz, Marcus Gutierrez, Christopher Kiekintveld |
| Training Watson — A Cognitive Systems Course | |
| Michael Wollowski |
EAAI Symposium Model AI Assignments
| Model AI Assignments 2016 | |
| Todd W. Neller, Laura E. Brown, James B. Marshall, Lisa Torrey, Nate Derbinsky, Andrew A. Ward, Thomas E. Allen, Judy Goldsmith, Nahom Muluneh |
Senior Member Blue Sky Papers
| Indefinite Scalability for Living Computation | |
| David H. Ackley |
| Embedding Ethical Principles in Collective Decision Support Systems | |
| Joshua Greene, Francesca Rossi, John Tasioulas, Kristen Brent Venable, Brian Williams |
| Five Dimensions of Reasoning in the Wild | |
| Don Perlis |
| Ethical Dilemmas for Adaptive Persuasion Systems | |
| Oliviero Stock, Marco Guerini, Fabio Pianesi |
Senior Member Summary Talks
| Ontology Instance Linking: Towards Interlinked Knowledge Graphs | |
| Jeff Heflin, Dezhao Song |
| Natural Language Processing for Enhancing Teaching and Learning | |
| Diane Litman |
| Strategic Behaviour When Allocating Indivisible Goods | |
| Toby Walsh |
| Rational Verification: From Model Checking to Equilibrium Checking | |
| Michael Wooldridge, Julian Gutierrez, Paul Harrenstein, Enrico Marchioni, Giuseppe Perelli, Alexis Toumi |
Student Abstracts
| MIP-Nets: Enabling Information Sharing in Loosely-Coupled Teamwork | |
| Ofra Amir, Barbara J. Grosz, Krzysztof Z. Gajos |
| Weighted A* Algorithms for Unsupervised Feature Selection with Provable Bounds on Suboptimality | |
| Hiromasa Arai, Ke Xu, Crystal Maung, Haim Schweitzer |
| Abstraction Using Analysis of Subgames | |
| Anjon Basak |
| Bayesian Markov Games with Explicit Finite-Level Types | |
| Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi |
| BRBA: A Blocking-Based Association Rule Hiding Method | |
| Peng Cheng, Ivan Lee, Li Li, Kuo-Kun Tseng, Jeng-Shyang Pan |
| A CP-Based Approach for Popular Matching | |
| Danuta Sorina Chisca, Mohamed Siala, Gilles Simonin, Barry O'Sullivan |
| Predicting Prices in the Power TAC Wholesale Energy Market | |
| Moinul Morshed Porag Chowdhury |
| Robust Execution Strategies for Probabilistic Temporal Planning | |
| Sam Dietrich, Kyle Lund, James C. Boerkoel |
| A Comparison of Supervised Learning Algorithms for Telerobotic Control Using Electromyography Signals | |
| Tyler M. Frasca, Antonio G. Sestito, Craig Versek, Douglas E. Dow, Barry C. Husowitz, Nate Derbinsky |
| Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version) | |
| Varun Gangal, Abhishek Narwekar, Balaraman Ravindran, Ramasuri Narayanam |
| Authorship Attribution Using a Neural Network Language Model | |
| Zhenhao Ge, Yufang Sun, Mark J. T. Smith |
| Structure Aware L1 Graph for Data Clustering | |
| Shuchu Han, Hong Qin |
| Multivariate Conditional Outlier Detection and Its Clinical Application | |
| Charmgil Hong, Milos Hauskrecht |
| Learning Complex Stand-Up Motion for Humanoid Robots | |
| Heejin Jeong, Daniel D. Lee |
| Connecting the Dots Using Contextual Information Hidden in Text and Images | |
| Md Abdul Kader, Sheikh Motahar Naim, Arnold P. Boedihardjo, M. Shahriar Hossain |
| Monte Carlo Tree Search for Multi-Robot Task Allocation | |
| Bilal Kartal, Ernesto Nunes, Julio Godoy, Maria Gini |
| Hierarchy Prediction in Online Communities | |
| Denys Katerenchuk, Andrew Rosenberg |
| Handling Class Imbalance in Link Prediction Using Learning to Rank Techniques | |
| Bopeng Li, Sougata Chaudhuri, Ambuj Tewari |
| Predicting Links and Their Building Time: A Path-Based Approach | |
| Manling Li, Yantao Jia, Yuanzhuo Wang, Zeya Zhao, Xueqi Cheng |
| Social Emotion Classification via Reader Perspective Weighted Model | |
| Xin Li, Yanghui Rao, Yanjia Chen, Xuebo Liu, Huan Huang |
| Two-Stream Contextualized CNN for Fine-Grained Image Classification | |
| Jiang Liu, Chenqiang Gao, Deyu Meng, Wangmeng Zuo |
| Decision Sum-Product-Max Networks | |
| Mazen Melibari, Pascal Poupart, Prashant Doshi |
| Iterative Project Quasi-Newton Algorithm for Training RBM | |
| Shuai Mi, Xiaozhao Zhao, Yuexian Hou, Peng Zhang, Wenjie Li, Dawei Song |
| Pseudo-Tree Construction Heuristics for DCOPs with Variable Communication Times | |
| Atena M Tabakhi |
| A Word Embedding and a Josa Vector for Korean Unsupervised Semantic Role Induction | |
| Kyeong-Min Nam, Yu-Seop Kim |
| Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm | |
| Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe |
| Bayesian AutoEncoder: Generation of Bayesian Networks with Hidden Nodes for Features | |
| Kaneharu Nishino, Mary Inaba |
| Human-Robot Trust and Cooperation Through a Game Theoretic Framework | |
| Erin Paeng, Jane Wu, James C. Boerkoel |
| Efficient Collaborative Crowdsourcing | |
| Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung |
| SPAN: Understanding a Question with Its Support Answers | |
| Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| Towards Structural Tractability in Hedonic Games | |
| Dominik Peters |
| Heuristic Planning for Hybrid Systems | |
| Wiktor Mateusz Piotrowski, Maria Fox, Derek Long, Daniele Magazzeni, Fabio Mercorio |
| Counter-Transitivity in Argument Ranking Semantics | |
| Fuan Pu, Jian Luo, Guiming Luo |
| Discriminative Structure Learning of Arithmetic Circuits | |
| Amirmohammad Rooshenas, Daniel Lowd |
| Unsupervised Measure of Word Similarity: How to Outperform Co-Occurrence and Vector Cosine in VSMs | |
| Enrico Santus, Alessandro Lenci, Tin-Shing Chiu, Qin Lu, Chu-Ren Huang |
| ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms | |
| Enrico Santus, Alessandro Lenci, Tin-Shing Chiu, Qin Lu, Chu-Ren Huang |
| Abstracting Complex Domains Using Modular Object-Oriented Markov Decision Processes | |
| Shawn Squire, Marie desJardins |
| Image Privacy Prediction Using Deep Features | |
| Ashwini Kishore Tonge, Cornelia Caragea |
| Evaluating the Robustness of Game Theoretic Solutions When Using Abstraction | |
| Oscar Samuel Veliz |
| Text Simplification Using Neural Machine Translation | |
| Tong Wang, Ping Chen, John Rochford, Jipeng Qiang |
| Business Event Curation: Merging Human and Automated Approaches | |
| Yiqi Wang, Huiying Ma, Nichola Lowe, Maryann Feldman, Charles Schmitt |
| Direct Discriminative Bag Mapping for Multi-Instance Learning | |
| Jia Wu, Shirui Pan, Peng Zhang, Xingquan Zhu |
| Mobility Sequence Extraction and Labeling Using Sparse Cell Phone Data | |
| Yingxiang Yang, Peter Widhalm, Shounak Athavale, Marta C. Gonzalez |
| Epitomic Image Super-Resolution | |
| Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang |
| MicroScholar: Mining Scholarly Information from Chinese Microblogs | |
| Yang Yu, Xiaojun Wan |
| Intrinsic and Extrinsic Evaluations of Word Embeddings | |
| Michael Zhai, Johnny Tan, Jinho D. Choi |
| User-Centric Affective Computing of Image Emotion Perceptions | |
| Sicheng Zhao, Hongxun Yao, Wenlong Xie, Xiaolei Jiang |
| Learning Structural Features of Nodes in Large-Scale Networks for Link Prediction | |
| Aakas Zhiyuli, Xun Liang, Xiaoping Zhou |
Doctoral Consortium
| Interactive Learning and Analogical Chaining for Moral and Commonsense Reasoning | |
| Joseph A. Blass |
| Machine Learning for Computational Psychology | |
| Sarah M. Brown |
| Robust Learning from Demonstration Techniques and Tools | |
| William Curran |
| Integrating Planning and Recognition to Close the Interaction Loop | |
| Richard G. Freedman |
| Apprenticeship Scheduling for Human-Robot Teams | |
| Matthew C. Gombolay |
| Privacy Management in Agent-Based Social Networks | |
| Nadin Kokciyan |
| Multi-Modal Learning over User-Contributed Content from Cross-Domain Social Media | |
| Wen-Yu Lee |
| Unsupervised Learning of HTNs in Complex Adversarial Domains | |
| Michael A. Leece |
| Estimating Text Intelligibility via Information Packaging Analysis | |
| Junyi Jessy Li |
| Robust Classification under Covariate Shift with Application to Active Learning | |
| Anqi Liu |
| Analogical Generalization of Linguistic Constructions | |
| Clifton McFate |
| Writing Stories with Help from Recurrent Neural Networks | |
| Melissa Roemmele |
| Scaling-Up MAP and Marginal MAP Inference in Markov Logic | |
| Somdeb Sarkhel |
| Adapting Plans through Communication with Unknown Teammates | |
| Trevor Sarratt |
| Pragmatic Querying in Heterogeneous Knowledge Graphs | |
| Amar Viswanathan |
| Architectural Mechanisms for Situated Natural Language Understanding in Uncertain and Open Worlds | |
| Tom Williams |
| Affective Computing and Applications of Image Emotion Perceptions | |
| Sicheng Zhao, Hongxun Yao |
What's Hot Papers
| What’s Hot in Human Language Technology: Highlights from NAACL HLT 2015 | |
| Joyce Y. Chai, Anoop Sarkar, Rada Mihalcea |
| What’s Hot in the Answer Set Programming Competition | |
| Martin Gebser, Marco Maratea, Francesco Ricca |
| Inductive Logic Programming: Challenges | |
| Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto |
| What's Hot in Intelligent User Interfaces | |
| Shimei Pan, Oliver Brdiczka, Giuseppe Carenini, Duen Horng Chau, Per Ola Kristensson |
| General Video Game AI: Competition, Challenges and Opportunities | |
| Diego Perez-Liebana, Spyridon Samothrakis, Julian Togelius, Tom Schaul, Simon M. Lucas |
| Angry Birds as a Challenge for Artificial Intelligence | |
| Jochen Renz, XiaoYu Ge, Rohan Verma, Peng Zhang |
| What's Hot in Heuristic Search | |
| Roni Stern, Levi H. S. Lelis |
| Competition of Distributed and Multiagent Planners (CoDMAP) | |
| Michal Štolba, Antonín Komenda, Daniel L. Kovacs |
| What's Hot at RoboCup | |
| Peter Stone |
Demonstration Papers
| Artificial Intelligence for Predictive and Evidence Based Architecture Design | |
| Mehul Bhatt, Jakob Suchan, Carl Schultz, Vasiliki Kondyli, Saurabh Goyal |
| co-rank: An Online Tool for Collectively Deciding Efficient Rankings Among Peers | |
| Ioannis Caragiannis, George A. Krimpas, Marianna Panteli, Alexandros A. Voudouris |
| SVVAMP: Simulator of Various Voting Algorithms in Manipulating Populations | |
| François Durand, Fabien Mathieu, Ludovic Noirie |
| Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration) | |
| Fei Fang, Thanh H. Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe |
| Predicting Gaming Related Properties from Twitter Accounts | |
| Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Alfredo Kalaitzis, Michael Fagan, Dean Carignan, Nitin Gautam |
| NLU Framework for Voice Enabling Non-Native Applications on Smart Devices | |
| Soujanya Lanka, Deepika Pathania, Pooja Kushalappa, Pradeep Varakantham |
| Modeling and Experimentation Framework for Fuzzy Cognitive Maps | |
| Maikel Leon Espinosa, Gonzalo Napoles Ruiz |
| Using Convolutional Neural Networks to Analyze Function Properties from Images | |
| Yoad Lewenberg, Yoram Bachrach, Ian Kash, Peter Key |
| Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information | |
| Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi |
| EKNOT: Event Knowledge from News and Opinions in Twitter | |
| Min Li, Jingjing Wang, Wenzhu Tong, Hongkun Yu, Xiuli Ma, Yucheng Chen, Haoyan Cai, Jiawei Han |
| BBookX: Building Online Open Books for Personalized Learning | |
| Chen Liang, Shuting Wang, Zhaohui Wu, Kyle Williams, Bart Pursel, Benjamin Brautigam, Sherwyn Saul, Hannah Williams, Kyle Bowen, C. Lee Giles |
| Moodee: An Intelligent Mobile Companion for Sensing Your Stress from Your Social Media Postings | |
| Huijie Lin, Jia Jia, Jie Huang, Enze Zhou, Jingtian Fu, Yejun Liu, Huanbo Luan |
| Write-righter: An Academic Writing Assistant System | |
| Yuanchao Liu, Xin Wang, Ming Liu, Xiaolong Wang |
| An Image Analysis Environment for Species Identification of Food Contaminating Beetles | |
| Daniel Martin, Hongjian Ding, Leihong Wu, Howard Semey, Amy Barnes, Darryl Langley, Su Inn Park, Zhichao Liu, Weida Tong, Joshua Xu |
| Jikan to Kukan: A Hands-On Musical Experience in AI, Games and Art | |
| Georgia Rossmann Martins, Mário Escarce Junior, Leandro Soriano Marcolino |
| WWDS APIs: Application Programming Interfaces for Efficient Manipulation of World WordNet Database Structure | |
| Hanumant Redkar, Sudha Bhingardive, Kevin Patel, Pushpak Bhattacharyya, Neha Prabhugaonkar, Apurva Nagvenkar, Ramdas Karmali |
| Artificial Swarm Intelligence, a Human-in-the-Loop Approach to A.I. | |
| Louis Rosenberg |
| Toward Interactive Relational Learning | |
| Ryan Rossi, Rong Zhou |
| EDDIE: An Embodied AI System for Research and Intervention for Individuals with ASD | |
| Robert Selkowitz, Jonathan Rodgers, P. J. Moskal, Jon Mrowczynski, Christine Colson |
| A Tool to Graphically Edit CP-Nets | |
| Aidan Shafran, Sam Saarinen, Judy Goldsmith |
| A Visual Semantic Framework for Innovation Analytics | |
| Walid Shalaby, Kripa Rajshekhar, Wlodek Zadrozny |
| Multi-Agent System Development MADE Easy | |
| Zhiqi Shen, Han Yu, Chunyan Miao, Siyao Li, Yiqiang Chen |
| A Fraud Resilient Medical Insurance Claim System | |
| Yuliang Shi, Chenfei Sun, Qingzhong Li, Lizhen Cui, Han Yu, Chunyan Miao |
| DECT: Distributed Evolving Context Tree for Understanding User Behavior Pattern Evolution | |
| Xiaokui Shu, Nikolay Laptev, Danfeng (Daphne) Yao |
| Markov Argumentation Random Fields | |
| Yuqing Tang, Nir Oren, Katia Sycara |
| Shoot to Know What: An Application of Deep Networks on Mobile Devices | |
| Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng |
| SAPE: A System for Situation-Aware Public Security Evaluation | |
| Shu Wu, Qiang Liu, Ping Bai, Liang Wang, Tieniu Tan |
| Information Credibility Evaluation on Social Media | |
| Shu Wu, Qiang Liu, Yong Liu, Liang Wang, Tieniu Tan |
| Productive Aging through Intelligent Personalized Crowdsourcing | |
| Han Yu, Chunyan Miao, Siyuan Liu, Zhengxiang Pan, Nur Syahidah Bte Khalid, Zhiqi Shen, Cyril Leung |
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