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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 30 /

No. 1: Thirtieth AAAI Conference On Artificial Intelligence

Technical Papers: Cognitive Modeling

  • Egocentric Video Search via Physical Interactions

    Taiki Miyanishi, Jun-ichiro Hirayama, Quan Kong, Takuya Maekawa, Hiroki Moriya, Takayuki Suyama

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  • Learning the Preferences of Ignorant, Inconsistent Agents

    Owain Evans, Andreas Stuhlmueller, Noah Goodman

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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

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  • Autonomous Electricity Trading Using Time-of-Use Tariffs in a Competitive Market

    Daniel Urieli, Peter Stone

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Technical Papers: Game Playing and Interactive Entertainment

  • Reuse of Neural Modules for General Video Game Playing

    Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen

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  • 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

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Technical Papers: Game Theory and Economic Paradigms

  • On the Complexity of mCP-nets

    Thomas Lukasiewicz, Enrico Malizia

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  • When Can the Maximin Share Guarantee Be Guaranteed?

    David Kurokawa, Ariel Procaccia, Junxing Wang

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  • An Algorithmic Framework for Strategic Fair Division

    Simina Brânzei, Ioannis Caragiannis, David Kurokawa, Ariel Procaccia

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  • Quantitative Extensions of the Condorcet Jury Theorem with Strategic Agents

    Lirong Xia

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  • Incentives for Strategic Behavior in Fisher Market Games

    Ning Chen, Xiaotie Deng, Bo Tang, Hongyang Zhang

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  • Using Correlated Strategies for Computing Stackelberg Equilibria in Extensive-Form Games

    Jiri Cermak, Branislav Bosansky, Karel Durkota, Viliam Lisy, Christopher Kiekintveld

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  • Graphical Hedonic Games of Bounded Treewidth

    Dominik Peters

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  • Complexity of Hedonic Games with Dichotomous Preferences

    Dominik Peters

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  • Price of Pareto Optimality in Hedonic Games

    Edith Elkind, Angelo Fanelli, Michele Flammini

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  • Preferences Single-Peaked on Nice Trees

    Dominik Peters, Edith Elkind

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  • A Geometric Method to Construct Minimal Peer Prediction Mechanisms

    Rafael Frongillo, Jens Witkowski

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  • Counterfactual Regret Minimization in Sequential Security Games

    Viliam Lisy, Trevor Davis, Michael Bowling

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  • Computing Possible and Necessary Equilibrium Actions (and Bipartisan Set Winners)

    Markus Brill, Rupert Freeman, Vincent Conitzer

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  • Fast Optimal Clearing of Capped-Chain Barter Exchanges

    Benjamin Plaut, John Dickerson, Tuomas Sandholm

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  • Variations on the Hotelling-Downs Model

    Michal Feldman, Amos Fiat, Svetlana Obraztsova

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  • Rules for Choosing Societal Tradeoffs

    Vincent Conitzer, Rupert Freeman, Markus Brill, Yuqian Li

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  • Strategy-Based Warm Starting for Regret Minimization in Games

    Noam Brown, Tuomas Sandholm

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  • Multi-Defender Strategic Filtering Against Spear-Phishing Attacks

    Aron Laszka, Jian Lou, Yevgeniy Vorobeychik

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  • Sequence-Form and Evolutionary Dynamics: Realization Equivalence to Agent Form and Logit Dynamics

    Nicola Gatti, Marcello Restelli

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  • A Security Game Combining Patrolling and Alarm-Triggered Responses Under Spatial and Detection Uncertainties

    Nicola Basilico, Giuseppe De Nittis, Nicola Gatti

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  • 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

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  • Multi-Attribute Proportional Representation

    Jérôme Lang, Piotr Skowron

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  • Lift-Based Bidding in Ad Selection

    Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-chih Lee, Hang Qi, Quan Lu

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  • Reinstating Combinatorial Protections for Manipulation and Bribery in Single-Peaked and Nearly Single-Peaked Electorates

    Vijay Menon, Kate Larson

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  • Learning Market Parameters Using Aggregate Demand Queries

    Xiaohui Bei, Wei Chen, Jugal Garg, Martin Hoefer, Xiaoming Sun

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  • Computing Optimal Monitoring Strategy for Detecting Terrorist Plots

    Zhen Wang, Yue Yin, Bo An

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  • False-Name-Proof Locations of Two Facilities: Economic and Algorithmic Approaches

    Akihisa Sonoda, Taiki Todo, Makoto Yokoo

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  • Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks

    Mengchen Zhao, Bo An, Christopher Kiekintveld

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  • Multiwinner Analogues of the Plurality Rule: Axiomatic and Algorithmic Perspectives

    Piotr Faliszewski, Piot Skowron, Arkadii Slinko, Nimrod Talmon

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  • Blind, Greedy, and Random: Algorithms for Matching and Clustering Using Only Ordinal Information

    Elliot Anshelevich, Shreyas Sekar

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  • Refining Subgames in Large Imperfect Information Games

    Matej Moravcik, Martin Schmid, Karel Ha, Milan Hladik, Stephen Gaukrodger

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  • Closeness Centrality for Networks with Overlapping Community Structure

    Mateusz Tarkowski, Piotr Szczepański, Talal Rahwan, Tomasz Michalak, Michael Wooldridge

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  • Ad Auctions and Cascade Model: GSP Inefficiency and Algorithms

    Gabriele Farina, Nicola Gatti

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  • From Duels to Battlefields: Computing Equilibria of Blotto and Other Games

    AmirMahdi Ahmadinejad, Sina Dehghani, MohammadTaghi Hajiaghay, Brendan Lucier, Hamid Mahini, Saeed Seddighin

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  • Who Can Win a Single-Elimination Tournament?

    Michael Kim, Warut Suksompong, Virginia Williams

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  • Strategyproof Peer Selection: Mechanisms, Analyses, and Experiments

    Haris Aziz, Omer Lev, Nicholas Mattei, Jeffrey Rosenschein, Toby Walsh

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  • Maximizing Revenue with Limited Correlation: The Cost of Ex-Post Incentive Compatibility

    Michael Albert, Vincent Conitzer, Giuseppe Lopomo

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  • Judgment Aggregation under Issue Dependencies

    Marco Costantini, Carla Groenland, Ulle Endriss

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  • Assignment and Pricing in Roommate Market

    Pak Chan, Xin Huang, Zhengyang Liu, Chihao Zhang, Shengyu Zhang

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  • Computing Rational Decisions In Extensive Games With Limited Foresight

    Paolo Turrini

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  • Optimizing Trading Assignments in Water Right Markets

    Yicheng Liu, Pingzhong Tang, Tingting Xu, Hang Zheng

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  • Optimal Aggregation of Uncertain Preferences

    Ariel Procaccia, Nisarg Shah

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Technical Papers: Humans and AI

  • An Oral Exam for Measuring a Dialog System’s Capabilities

    David Cohen, Ian Lane

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  • Personalized Alert Agent for Optimal User Performance

    Avraham Shvartzon, Amos Azaria, Sarit Kraus, Claudia Goldman, Joachim Meyer, Omer Tsimhoni

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  • Intelligent Advice Provisioning for Repeated Interaction

    Priel Levy, David Sarne

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  • A Deep Choice Model

    Makoto Otsuka, Takayuki Osogami

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Technical Papers: Human-Computation and Crowd Sourcing

  • Behavioral Experiments in Email Filter Evasion

    Liyiming Ke, Bo Li, Yevgeniy Vorobeychik

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Technical Papers: Heuristic Search and Optimization

  • On the Completeness of Best-First Search Variants That Use Random Exploration

    Richard Valenzano, Fan Xie

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  • Learning to Branch in Mixed Integer Programming

    Elias Khalil, Pierre Le Bodic, Le Song, George Nemhauser, Bistra Dilkina

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  • Unsupervised Feature Selection by Heuristic Search with Provable Bounds on Suboptimality

    Hiromasa Arai, Crystal Maung, Ke Xu, Haim Schweitzer

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  • Local Search for Hard SAT Formulas: The Strength of the Polynomial Law

    Sixue Liu, Periklis Papakonstantinou

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  • Towards Clause-Learning State Space Search: Learning to Recognize Dead-Ends

    Marcel Steinmetz, Joerg Hoffmann

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  • Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting

    Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan

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  • DRIMUX: Dynamic Rumor Influence Minimization with User Experience in Social Networks

    Biao Wang, Ge Chen, Luoyi Fu, Li Song, Xinbing Wang, Xue Liu

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  • Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search

    Yuu Jinnai, Alex Fukunaga

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  • Submodular Optimization with Routing Constraints

    Haifeng Zhang, Yevgeniy Vorobeychik

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  • Two Efficient Local Search Algorithms for Maximum Weight Clique Problem

    Yiyuan Wang, Shaowei Cai, Minghao Yin

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  • Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization

    Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su

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  • Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty

    Changkyu Song, Sejong Yoon, Vladimir Pavlovic

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  • CAPReS: Context Aware Persona Based Recommendation for Shoppers

    Joydeep Banerjee, Gurulingesh Raravi, Manoj Gupta, Sindhu Ernala, Shruti Kunde, Koustuv Dasgupta

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  • Tiebreaking Strategies for A* Search: How to Explore the Final Frontier

    Masataro Asai, Alex Fukunaga

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  • Look-Ahead with Mini-Bucket Heuristics for MPE

    Rina Dechter, Kalev Kask, William Lam, Javier Larrosa

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  • Nested Monte Carlo Search for Two-Player Games

    Tristan Cazenave, Abdallah Saffidine, Michael Schofield, Michael Thielscher

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  • Implementing Troubleshooting with Batch Repair

    Roni Stern, Meir Kalech, Hilla Shinitzky

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  • Combining Bounding Boxes and JPS to Prune Grid Pathfinding

    Steve Rabin, Nathan Sturtevant

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  • Relaxed Majorization-Minimization for Non-Smooth and Non-Convex Optimization

    Chen Xu, Zhouchen Lin, Zhenyu Zhao, Hongbin Zha

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  • Solving the Station Repacking Problem

    Alexandre Fréchette, Neil Newman, Kevin Leyton-Brown

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  • The Complexity Landscape of Decompositional Parameters for ILP

    Robert Ganian, Sebastian Ordyniak

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  • A Combinatorial Search Perspective on Diverse Solution Generation

    Satya Gautam Vadlamudi, Subbarao Kambhampati

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Technical Papers: Knowledge Representation and Reasoning

  • A Semantical Analysis of Second-Order Propositional Modal Logic

    Francesco Belardinelli, Wiebe van der Hoek

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  • Complexity Results and Algorithms for Extension Enforcement in Abstract Argumentation

    Johannes Wallner, Andreas Niskanen, Matti Järvisalo

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  • Beyond OWL 2 QL in OBDA: Rewritings and Approximations

    Elena Botoeva, Diego Calvanese, Valerio Santarelli, Domenico Savo, Alessandro Solimando, Guohui Xiao

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  • Basic Probabilistic Ontological Data Exchange with Existential Rules

    Thomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari

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  • The Complexity of LTL on Finite Traces: Hard and Easy Fragments

    Valeria Fionda, Gianluigi Greco

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  • Logical Foundations of Privacy-Preserving Publishing of Linked Data

    Bernardo Cuenca Grau, Egor Kostylev

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  • SDDs Are Exponentially More Succinct than OBDDs

    Simone Bova

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  • Mapping Action Language BC to Logic Programs: A Characterization by Postulates

    Haodi Zhang, Fangzhen Lin

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  • A First-Order Logic of Probability and Only Knowing in Unbounded Domains

    Vaishak Belle, Gerhard Lakemeyer, Hector Levesque

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  • Decidable Verification of Golog Programs over Non-Local Effect Actions

    Benjamin Zarrieß, Jens Claßen

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  • Knowing Whether’ in Proper Epistemic Knowledge Bases

    Tim Miller, Paolo Felli, Christian Muise, Adrian Pearce, Liz Sonenberg

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  • Ontology-Mediated Queries for NOSQL Databases

    Marie-Laure Mugnier, Marie-Christine Rousset, Federico Ulliana

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  • SAT-to-SAT: Declarative Extension of SAT Solvers with New Propagators

    Tomi Janhunen, Shahab Tasharrofi, Eugenia Ternovska

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  • Using Decomposition-Parameters for QBF: Mind the Prefix!

    Eduart Eiben, Robert Ganian, Sebastian Ordyniak

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  • Zero-Suppressed Sentential Decision Diagrams

    Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata

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  • Generating CP-Nets Uniformly at Random

    Thomas Allen, Judy Goldsmith, Hayden Justice, Nicholas Mattei, Kayla Raines

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  • A Comparative Study of Ranking-Based Semantics for Abstract Argumentation

    Elise Bonzon, Jérôme Delobelle, Sébastien Konieczny, Nicolas Maudet

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  • Verifying ConGolog Programs on Bounded Situation Calculus Theories

    Giuseppe De Giacomo, Yves Lespérance, Fabio Patrizi, Sebastian Sardina

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  • Metaphysics of Planning Domain Descriptions

    Siddharth Srivastava, Stuart Russell, Alessandro Pinto

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  • Scalable Training of Markov Logic Networks Using Approximate Counting

    Somdeb Sarkhel, Deepak Venugopal, Tuan Pham, Parag Singla, Vibhav Gogate

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  • Expressive Recommender Systems through Normalized Nonnegative Models

    Cyril Stark

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  • Query Answering with Inconsistent Existential Rules under Stable Model Semantics

    Hai Wan, Heng Zhang, Peng Xiao, Haoran Huang, Yan Zhang

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  • Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces

    Basma Alharbi, Abdulhakim Qahtan, Xiangliang Zhang

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  • A Model for Learning Description Logic Ontologies Based on Exact Learning

    Boris Konev, Ana Ozaki, Frank Wolter

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  • Causal Explanation Under Indeterminism: A Sampling Approach

    Christopher Merck, Samantha Kleinberg

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  • Knowledge Graph Completion with Adaptive Sparse Transfer Matrix

    Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao

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  • Resistance to Corruption of Strategic Argumentation

    Michael Maher

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  • Explaining Inconsistency-Tolerant Query Answering over Description Logic Knowledge Bases

    Meghyn Bienvenu, Camille Bourgaux, François Goasdoué

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  • Locally Adaptive Translation for Knowledge Graph Embedding

    Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xueqi Cheng

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  • On the Containment of SPARQL Queries under Entailment Regimes

    Melisachew Wudage Chekol

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  • Automated Verification and Tightening of Failure Propagation Models

    Benjamin Bittner, Marco Bozzano, Alessandro Cimatti, Gianni Zampedri

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  • Qualitative Spatio-Temporal Stream Reasoning with Unobservable Intertemporal Spatial Relations Using Landmarks

    Daniel de Leng, Fredrik Heintz

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  • Boolean Functions with Ordered Domains in Answer Set Programming

    Mario Alviano, Wolfgang Faber, Hannes Strass

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  • Agenda Separability in Judgment Aggregation

    Jérôme Lang, Marija Slavkovik, Srdjan Vesic

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  • Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Learning Compact Binary Codes

    Zhe Wang, Ling-Yu Duan, Tiejun Huang, Gao Wen

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  • Learning Abductive Reasoning Using Random Examples

    Brendan Juba

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Technical Papers: Multiagent Systems

  • Emergence of Social Punishment and Cooperation through Prior Commitments

    The Anh Han

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  • Strengthening Agents Strategic Ability with Communication

    Xiaowei Huang, Qingliang Chen, Kaile Su

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  • Model Checking Probabilistic Knowledge: A PSPACE Case

    Xiaowei Huang, Marta Kwiatkowska

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  • ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains

    Vaibhav Unhelkar, Julie Shah

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  • Global Model Checking on Pushdown Multi-Agent Systems

    Taolue Chen, Fu Song, Zhilin Wu

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  • Is It Harmful When Advisors Only Pretend to Be Honest?

    Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu

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  • Multi-Variable Agents Decomposition for DCOPs

    Ferdinando Fioretto, William Yeoh, Enrico Pontelli

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  • Target Surveillance in Adversarial Environments Using POMDPs

    Maxim Egorov, Mykel Kochenderfer, Jaak Uudmae

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  • Frugal Bribery in Voting

    Palash Dey, Neeldhara Misra, Y. Narahari

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  • Robust Execution of BDI Agent Programs by Exploiting Synergies Between Intentions

    Yuan Yao, Brian Logan, John Thangarajah

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  • Implicit Coordination in Crowded Multi-Agent Navigation

    Julio Godoy, Ioannis Karamouzas, Stephen Guy, Maria Gini

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  • Efficient Computation of Emergent Equilibrium in Agent-Based Simulation

    Zehong Hu, Meng Sha, Moath Jarrah, Jie Zhang, Hui Xi

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  • Complexity of Shift Bribery in Committee Elections

    Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Nimrod Talmon

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  • Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs

    Philipp Robbel, Frans Oliehoek, Mykel Kochenderfer

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  • Detection of Plan Deviation in Multi-Agent Systems

    Bikramjit Banerjee, Steven Loscalzo, Daniel Thompson

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  • Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments

    Miao Liu, Christopher Amato, Emily Anesta, John Griffith, Jonathan How

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  • Bayesian Learning of Other Agents’ Finite Controllers for Interactive POMDPs

    Alessandro Panella, Piotr Gmytrasiewicz

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  • Temporal Vaccination Games under Resource Constraints

    Abhijin Adiga, Anil Vullikanti

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Technical Papers: Machine Learning Applications

  • Factorization Ranking Model for Move Prediction in the Game of Go

    Chenjun Xiao, Martin Müller

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  • Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data

    Zitao Liu, Milos Hauskrecht

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  • Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors

    Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan

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  • Bayesian Inference of Recursive Sequences of Group Activities from Tracks

    Ernesto Brau, Colin Dawson, Alfredo Carrillo, David Sidi, Clayton Morrison

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  • 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

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  • Fast Hybrid Algorithm for Big Matrix Recovery

    Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu

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  • Tracking Idea Flows between Social Groups

    Yangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, Yangqiu Song

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  • Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation

    Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang

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  • Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling

    Lin Chen, Forrest Crawford, Amin Karbasi

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  • Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction

    NhatHai Phan, Yue Wang, Xintao Wu, Dejing Dou

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  • Towards Domain Adaptive Vehicle Detection in Satellite Image by Supervised Super-Resolution Transfer

    Liujuan Cao, Rongrong Ji, Cheng Wang, Jonathan Li

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  • Towards Optimal Binary Code Learning via Ordinal Embedding

    Hong Liu, Rongrong Ji, Yongjian Wu, Wei Liu

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  • Unsupervised Feature Selection with Structured Graph Optimization

    Feiping Nie, Wei Zhu, Xuelong Li

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  • Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features

    Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu

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  • Deep Learning for Algorithm Portfolios

    Andrea Loreggia, Yuri Malitsky, Horst Samulowitz, Vijay Saraswat

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  • On the Performance of GoogLeNet and AlexNet Applied to Sketches

    Pedro Ballester, Ricardo Araujo

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  • Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning

    Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang

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  • Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning

    Ying Wei, Yin Zhu, Cane Leung, Yangqiu Song, Qiang Yang

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  • A Framework for Outlier Description Using Constraint Programming

    Chia-Tung Kuo, Ian Davidson

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  • Learning Tractable Probabilistic Models for Fault Localization

    Aniruddh Nath, Pedro Domingos

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  • Column Sampling Based Discrete Supervised Hashing

    Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou

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  • Efficient Learning of Timeseries Shapelets

    Lu Hou, James Kwok, Jacek Zurada

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  • Graph-without-cut: An Ideal Graph Learning for Image Segmentation

    Lianli Gao, Jingkuan Song, Feiping Nie, Fuhao Zou, Nicu Sebe, Heng Tao Shen

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  • Deep Neural Networks for Learning Graph Representations

    Shaosheng Cao, Wei Lu, Qiongkai Xu

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  • Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks

    Hao Chen, Qi Dou, Xi Wang, Jing Qin, Pheng Heng

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  • Random Mixed Field Model for Mixed-Attribute Data Restoration

    Qiang Li, Wei Bian, Richard Xu, Jane You, Dacheng Tao

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  • Deep Contextual Networks for Neuronal Structure Segmentation

    Hao Chen, Xiao Qi, Jie Cheng, Pheng Heng

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  • Cold-Start Heterogeneous-Device Wireless Localization

    Vincent W. Zheng, Hong Cao, Shenghua Gao, Aditi Adhikari, Miao Lin, Kevin Chang

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  • Pose-Dependent Low-Rank Embedding for Head Pose Estimation

    Handong Zhao, Zhengming Ding, Yun Fu

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  • Submodular Asymmetric Feature Selection in Cascade Object Detection

    Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin

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  • Learning a Hybrid Architecture for Sequence Regression and Annotation

    Yizhe Zhang, Ricardo Henao, Lawrence Carin, Jianling Zhong, Alexander Hartemink

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  • Joint Multi-View Representation Learning and Image Tagging

    Zhe Xue, Guorong Li, Qingming Huang

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  • Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions

    Zhengming Ding, Yun Fu

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  • Creating Images by Learning Image Semantics Using Vector Space Models

    Derrall Heath, Dan Ventura

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  • Learning Deep Convolutional Neural Networks for X-Ray Protein Crystallization Image Analysis

    Margot Yann, Yichuan Tang

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  • Collective Noise Contrastive Estimation for Policy Transfer Learning

    Weinan Zhang, Ulrich Paquet, Katja Hofmann

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  • MOOCs Meet Measurement Theory: A Topic-Modelling Approach

    Jiazhen He, Benjamin Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan

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  • Learning with Marginalized Corrupted Features and Labels Together

    Yingming Li, Ming Yang, Zenglin Xu, Zhongfei Zhang

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  • Linear Submodular Bandits with a Knapsack Constraint

    Baosheng Yu, Meng Fang, Dacheng Tao

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  • Recognizing Complex Activities by a Probabilistic Interval-Based Model

    Li Liu, Li Cheng, Ye Liu, Yongpo Jia, David Rosenblum

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  • Simultaneous Feature and Sample Reduction for Image-Set Classification

    Man Zhang, Ran He, Dong Cao, Zhenan Sun, Tieniu Tan

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  • Consensus Style Centralizing Auto-Encoder for Weak Style Classification

    Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu

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  • Learning to Appreciate the Aesthetic Effects of Clothing

    Jia Jia, Jie Huang, Guangyao Shen, Tao He, Zhiyuan Liu, Huanbo Luan, Chao Yan

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  • Semisupervised Autoencoder for Sentiment Analysis

    Shuangfei Zhai, Zhongfei Zhang

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  • Exploiting an Oracle That Reports AUC Scores in Machine Learning Contests

    Jacob Whitehill

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  • Convolutional Neural Networks over Tree Structures for Programming Language Processing

    Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin

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Technical Papers: Machine Learning Methods

  • Delay-Tolerant Online Convex Optimization: Unified Analysis and Adaptive-Gradient Algorithms

    Pooria Joulani, Andras Gyorgy, Csaba Szepesvari

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  • Optimal Discrete Matrix Completion

    Zhouyuan Huo, Ji Liu, Heng Huang

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  • Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster

    Jesse Glass, Mohamed Ghalwash, Milan Vukicevic, Zoran Obradovic

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  • Increasing the Action Gap: New Operators for Reinforcement Learning

    Marc G. Bellemare, Georg Ostrovski, Arthur Guez, Philip Thomas, Remi Munos

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  • Compressed Conditional Mean Embeddings for Model-Based Reinforcement Learning

    Guy Lever, John Shawe-Taylor, Ronnie Stafford, Csaba Szepesvari

    PDF
  • The Constrained Laplacian Rank Algorithm for Graph-Based Clustering

    Feiping Nie, Xiaoqian Wang, Michael Jordan, Heng Huang

    PDF
  • Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee

    Shen-Yi Zhao, Wu-Jun Li

    PDF
  • Return of Frustratingly Easy Domain Adaptation

    Baochen Sun, Jiashi Feng, Kate Saenko

    PDF
  • Linear-Time Learning on Distributions with Approximate Kernel Embeddings

    Danica Sutherland, Junier Oliva, Barnabás Póczos, Jeff Schneider

    PDF
  • Efficient PAC-Optimal Exploration in Concurrent, Continuous State MDPs with Delayed Updates

    Jason Pazis, Ronald Parr

    PDF
  • Unsupervised Feature Selection on Networks: A Generative View

    Xiaokai Wei, Bokai Cao, Philip S. Yu

    PDF
  • A Probabilistic Approach to Knowledge Translation

    Shangpu Jiang, Daniel Lowd, Dejing Dou

    PDF
  • Incremental Stochastic Factorization for Online Reinforcement Learning

    Andre Barreto, Rafael Beirigo, Joelle Pineau, Doina Precup

    PDF
  • Inverse Reinforcement Learning through Policy Gradient Minimization

    Matteo Pirotta, Marcello Restelli

    PDF
  • Offline Evaluation of Online Reinforcement Learning Algorithms

    Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popović

    PDF
  • Holographic Embeddings of Knowledge Graphs

    Maximilian Nickel, Lorenzo Rosasco, Tomaso Poggio

    PDF
  • Re-Active Learning: Active Learning with Relabeling

    Christopher Lin, M Mausam, Daniel Weld

    PDF
  • Selecting Near-Optimal Learners via Incremental Data Allocation

    Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro

    PDF
  • Learning by Transferring from Unsupervised Universal Sources

    Yu-Xiong Wang, Martial Hebert

    PDF
  • Uncorrelated Group LASSO

    Deguang Kong, Ji Liu, Bo Liu, Xuan Bao

    PDF
  • 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 Chaovalitwongse

    PDF
  • Metric Learning for Ordinal Data

    Yuan Shi, Wenzhe Li, Fei Sha

    PDF
  • 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

    PDF
  • Towards Safe Semi-Supervised Learning for Multivariate Performance Measures

    Yu-Feng Li, James Kwok, Zhi-Hua Zhou

    PDF
  • SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream

    Ahsanul Haque, Latifur Khan, Michael Baron

    PDF
  • Fast Nonsmooth Regularized Risk Minimization with Continuation

    Shuai Zheng, Ruiliang Zhang, James T. Kwok

    PDF
  • Efficient Average Reward Reinforcement Learning Using Constant Shifting Values

    Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen

    PDF
  • Asynchronous Distributed Semi-Stochastic Gradient Optimization

    Ruiliang Zhang, Shuai Zheng, James T. Kwok

    PDF
  • Deep Learning with S-Shaped Rectified Linear Activation Units

    Xiaojie Jin, Chunyan Xu, Jiashi Feng, Yunchao Wei, Junjun Xiong, Shuicheng Yan

    PDF
  • Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions

    Hong Qian, Yang Yu

    PDF
  • Derivative-Free Optimization via Classification

    Yang Yu, Hong Qian, Yi-Qi Hu

    PDF
  • On Order-Constrained Transitive Distance Clustering

    Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar

    PDF
  • Multi-Domain Active Learning for Recommendation

    Zihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang

    PDF
  • Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations

    Lukas Studer, Loic Paulevé, Christoph Zechner, Matthias Reumann, María Rodríguez Martínez, Heinz Koeppl

    PDF
  • Expected Tensor Decomposition with Stochastic Gradient Descent

    Takanori Maehara, Kohei Hayashi, Ken-ichi Kawarabayashi

    PDF
  • Risk Minimization in the Presence of Label Noise

    Wei Gao, Lu Wang, Yu-Feng li, Zhi-Hua Zhou

    PDF
  • Deep Reinforcement Learning with Double Q-Learning

    Hado van Hasselt, Arthur Guez, David Silver

    PDF
  • Assumed Density Filtering Methods for Learning Bayesian Neural Networks

    Soumya Ghosh, Francesco Delle Fave, Jonathan Yedidia

    PDF
  • Text Classification with Heterogeneous Information Network Kernels

    Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han

    PDF
  • Scalable Sequential Spectral Clustering

    Yeqing Li, Junzhou Huang, Wei Liu

    PDF
  • Nonlinear Feature Extraction with Max-Margin Data Shifting

    Jianqiao Wangni, Ning Chen

    PDF
  • The l2,1-Norm Stacked Robust Autoencoders for Domain Adaptation

    Wenhao Jiang, Hongchang Gao, Fu-lai Chung, Heng Huang

    PDF
  • The Hidden Convexity of Spectral Clustering

    James Voss, Mikhail Belkin, Luis Rademacher

    PDF
  • Robust Semi-Supervised Learning through Label Aggregation

    Yan Yan, Zhongwen Xu, Ivor Tsang, Guodong Long, Yi Yang

    PDF
  • Learning Expected Hitting Time Distance

    De-Chuan Zhan, Peng Hu, Zui Chu, Zhi-Hua Zhou

    PDF
  • New l1-Norm Relaxations and Optimizations for Graph Clustering

    Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang

    PDF
  • How Important Is Weight Symmetry in Backpropagation?

    Qianli Liao, Joel Leibo, Tomaso Poggio

    PDF
  • Approximate K-Means++ in Sublinear Time

    Olivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause

    PDF
  • Multi-Stage Multi-Task Learning with Reduced Rank

    Lei Han, Yu Zhang

    PDF
  • Reduction Techniques for Graph-Based Convex Clustering

    Lei Han, Yu Zhang

    PDF
  • Decoding Hidden Markov Models Faster Than Viterbi Via Online Matrix-Vector (max, +)-Multiplication

    Massimo Cairo, Gabriele Farina, Romeo Rizzi

    PDF
  • Instance Specific Metric Subspace Learning: A Bayesian Approach

    Han-Jia Ye, De-Chuan Zhan, Yuan Jiang

    PDF
  • Knowledge Transfer with Interactive Learning of Semantic Relationships

    Jonghyun Choi, Sung Ju Hwang, Leonid Sigal, Larry Davis

    PDF
  • Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization

    Fanhua Shang, Yuanyuan Liu, James Cheng

    PDF
  • Product Grassmann Manifold Representation and Its LRR Models

    Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

    PDF
  • Conservativeness of Untied Auto-Encoders

    Daniel Im, Mohamed Belghazi, Roland Memisevic

    PDF
  • Improving Predictive State Representations via Gradient Descent

    Nan Jiang, Alex Kulesza, Satinder Singh

    PDF
  • Model-Free Preference-Based Reinforcement Learning

    Christian Wirth, Johannes Fürnkranz, Gerhard Neumann

    PDF
  • Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks

    Djordje Gligorijevic, Jelena Stojanovic, Zoran Obradovic

    PDF
  • Sparse Latent Space Policy Search

    Kevin Luck, Joni Pajarinen, Erik Berger, Ville Kyrki, Heni Ben Amor

    PDF
  • Finding One’s Best Crowd: Online Learning By Exploiting Source Similarity

    Yang Liu, Mingyan Liu

    PDF
  • All-in Text: Learning Document, Label, and Word Representations Jointly

    Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz

    PDF
  • Stochastic Optimization for Kernel PCA

    Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou

    PDF
  • On the Depth of Deep Neural Networks: A Theoretical View

    Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu

    PDF
  • Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness

    Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic

    PDF
  • Fixed-Rank Supervised Metric Learning on Riemannian Manifold

    Yadong Mu

    PDF
  • Interaction Point Processes via Infinite Branching Model

    Peng Lin, Bang Zhang, Ting Guo, Yang Wang, Fang Chen

    PDF
  • Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation

    Ming Shao, Zhengming Ding, Handong Zhao, Yun Fu

    PDF
  • Sparse Perceptron Decision Tree for Millions of Dimensions

    Weiwei Liu, Ivor Tsang

    PDF
  • Fast and Accurate Refined Nyström-Based Kernel SVM

    Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin

    PDF
  • Multiple Kernel k-Means Clustering with Matrix-Induced Regularization

    Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu

    PDF
  • The Ostomachion Process

    Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen

    PDF
  • Veto-Consensus Multiple Kernel Learning

    Yuxun Zhou, Ninghang Hu, Costas Spanos

    PDF
  • Optimizing Multivariate Performance Measures from Multi-View Data

    Jim Jing-Yan Wang, Ivor Tsang, Xin Gao

    PDF
  • An Alternating Proximal Splitting Method with Global Convergence for Nonconvex Structured Sparsity Optimization

    Shubao Zhang, Hui Qian, Xiaojin Gong

    PDF
  • On the Differential Privacy of Bayesian Inference

    Zuhe Zhang, Benjamin Rubinstein, Christos Dimitrakakis

    PDF
  • Multi-Objective Self-Paced Learning

    Hao Li, Maoguo Gong, Deyu Meng, Qiguang Miao

    PDF
  • Toward a Better Understanding of Deep Neural Network Based Acoustic Modelling: An Empirical Investigation

    Xingfu Wang, Lin Wang, Jing Chen, Litao Wu

    PDF
  • Multi-Label Manifold Learning

    Peng Hou, Xin Geng, Min-Ling Zhang

    PDF
  • Online ARIMA Algorithms for Time Series Prediction

    Chenghao Liu, Steven C.H. Hoi, Peilin Zhao, Jianling Sun

    PDF
  • Accelerated Sparse Linear Regression via Random Projection

    Weizhong Zhang, Lijun Zhang, Rong Jin, Deng Cai, Xiaofei He

    PDF
  • Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach

    Shuo Yang, Tushar Khot, Kristian Kersting, Sriraam Natarajan

    PDF
  • Consensus Guided Unsupervised Feature Selection

    Hongfu Liu, Ming Shao, Yun Fu

    PDF
  • DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays

    Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian Molloy, Suresh Chari

    PDF
  • Discriminative Vanishing Component Analysis

    Chenping Hou, Feiping Nie, Dacheng Tao

    PDF
  • Active Learning with Cross-Class Knowledge Transfer

    Yuchen Guo, Guiguang Ding, Yuqi Wang, Xiaoming Jin

    PDF
  • Semi-Supervised Dictionary Learning via Structural Sparse Preserving

    Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye

    PDF
  • Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis

    Assaf Hallak, Aviv Tamar, Remi Munos, Shie Mannor

    PDF
  • A Proximal Alternating Direction Method for Semi-Definite Rank Minimization

    Ganzhao Yuan, Bernard Ghanem

    PDF
  • Reinforcement Learning with Parameterized Actions

    Warwick Masson, Pravesh Ranchod, George Konidaris

    PDF
  • Multitask Generalized Eigenvalue Program

    Boyu Wang, Joelle Pineau, Borja Balle

    PDF
  • Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization

    Yang Song, Jun Zhu

    PDF
  • Bounded Optimal Exploration in MDP

    Kenji Kawaguchi

    PDF
  • Fast Lasso Algorithm via Selective Coordinate Descent

    Yasuhiro Fujiwara, Yasutoshi Ida, Hiroaki Shiokawa, Sotetsu Iwamura

    PDF
  • Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification

    Nguyen Cuong, Nan Ye, Wee Lee

    PDF
  • Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search

    Marco Fraccaro, Ulrich Paquet, Ole Winther

    PDF
  • Deep Hashing Network for Efficient Similarity Retrieval

    Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao

    PDF
  • Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic

    Lorenzo De Stefani, Alessandro Epasto, Eli Upfal, Fabio Vandin

    PDF
  • Learning FRAME Models Using CNN Filters

    Yang Lu, Song-Chun Zhu, Ying Wu

    PDF
  • Data Poisoning Attacks against Autoregressive Models

    Scott Alfeld, Xiaojin Zhu, Paul Barford

    PDF
  • Coupled Dictionary Learning for Unsupervised Feature Selection

    Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo

    PDF
  • Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks

    Chunyuan Li, Changyou Chen, David Carlson, Lawrence Carin

    PDF
  • Decentralized Approximate Bayesian Inference for Distributed Sensor Network

    Behnam Gholami, Sejong Yoon, Vladimir Pavlovic

    PDF
  • Random Composite Forests

    Giulia DeSalvo, Mehryar Mohri

    PDF
  • Shakeout: A New Regularized Deep Neural Network Training Scheme

    Guoliang Kang, Jun Li, Dacheng Tao

    PDF
  • Co-Regularized PLSA for Multi-Modal Learning

    Xin Wang, MingChing Chang, Yiming Ying, Siwei Lyu

    PDF
  • Viral Clustering: A Robust Method to Extract Structures in Heterogeneous Datasets

    Vahan Petrosyan, Alexandre Proutiere

    PDF
  • Noise-Adaptive Margin-Based Active Learning and Lower Bounds under Tsybakov Noise Condition

    Yining Wang, Aarti Singh

    PDF
  • Learning Future Classifiers without Additional Data

    Atsutoshi Kumagai, Tomoharu Iwata

    PDF
  • Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization

    Adish Singla, Sebastian Tschiatschek, Andreas Krause

    PDF
  • Near-Optimal Active Learning of Multi-Output Gaussian Processes

    Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan Kankanhalli

    PDF
  • Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond

    Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet

    PDF
  • Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction

    Joey Zhou, Sinno Pan, Ivor Tsang, Shen-Shyang Ho

    PDF
  • Algorithms for Differentially Private Multi-Armed Bandits

    Aristide Tossou, Christos Dimitrakakis

    PDF
  • Discriminative Analysis Dictionary Learning

    Jun Guo, Yanqing Guo, Xiangwei Kong, Man Zhang, Ran He

    PDF
  • Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression

    Ming Hou, Qibin Zhao, Brahim Chaib-draa, Andrzej Cichocki

    PDF
  • Online Instrumental Variable Regression with Applications to Online Linear System Identification

    Arun Venkatraman, Wen Sun, Martial Hebert, J. Bagnell, Byron Boots

    PDF
  • A Scalable and Extensible Framework for Superposition-Structured Models

    Shenjian Zhao, Cong Xie, Zhihua Zhang

    PDF
  • Accelerating Random Kaczmarz Algorithm Based on Clustering Information

    Yujun Li, Kaichun Mo, Haishan Ye

    PDF
  • Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver

    Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu

    PDF
  • Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification

    Meng Yang, Weiyang Liu, Weixin Luo, Linlin Shen

    PDF
  • Representing Sets of Instances for Visual Recognition

    Jianxin Wu, Bin-Bin Gao, Guoqing Liu

    PDF
  • Wishart Mechanism for Differentially Private Principal Components Analysis

    Wuxuan Jiang, Cong Xie, Zhihua Zhang

    PDF
  • Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning

    Baoyuan Wu, Siwei Lyu, Bernard Ghanem

    PDF
  • Learning Step Size Controllers for Robust Neural Network Training

    Christian Daniel, Jonathan Taylor, Sebastian Nowozin

    PDF
  • Stochastic Parallel Block Coordinate Descent for Large-Scale Saddle Point Problems

    Zhanxing Zhu, Amos Storkey

    PDF
  • Adaptive Normalized Risk-Averting Training for Deep Neural Networks

    Zhiguang Wang, Tim Oates, James Lo

    PDF
  • Generalised Brown Clustering and Roll-Up Feature Generation

    Leon Derczynski, Sean Chester

    PDF
  • Teaching-to-Learn and Learning-to-Teach for Multi-label Propagation

    Chen Gong, Dacheng Tao, Jie Yang, Wei Liu

    PDF
  • Infinite Plaid Models for Infinite Bi-Clustering

    Katsuhiko Ishiguro, Issei Sato, Masahiro Nakano, Akisato Kimura, Naonori Ueda

    PDF
  • Scalable Completion of Nonnegative Matrix with Separable Structure

    Xiyu Yu, Wei Bian, Dacheng Tao

    PDF
  • Group and Graph Joint Sparsity for Linked Data Classification

    Longwen Gao, Shuigeng Zhou

    PDF
  • Learning Deep ℓ0 Encoders

    Zhangyang Wang, Qing Ling, Thomas Huang

    PDF
  • Relational Knowledge Transfer for Zero-Shot Learning

    Donghui Wang, Yanan Li, Yuetan Lin, Yueting Zhuang

    PDF
  • Maximum Margin Dirichlet Process Mixtures for Clustering

    Gang Chen, Haiying Zhang, Caiming Xiong

    PDF
  • Progressive EM for Latent Tree Models and Hierarchical Topic Detection

    Peixian Chen, Nevin Zhang, Leonard Poon, Zhourong Chen

    PDF
  • High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models

    Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin

    PDF

Technical Papers: NLP and Knowledge Representation

  • Single or Multiple? Combining Word Representations Independently Learned from Text and WordNet

    Josu Goikoetxea, Eneko Agirre, Aitor Soroa

    PDF
  • Representing Verbs as Argument Concepts

    Yu Gong, Kaiqi Zhao, Kenny Zhu

    PDF
  • Dependency Tree Representations of Predicate-Argument Structures

    Likun Qiu, Yue Zhang, Meishan Zhang

    PDF
  • Topic Concentration in Query Focused Summarization Datasets

    Tal Baumel, Raphael Cohen, Michael Elhadad

    PDF
  • Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions

    Peter Clark, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Turney, Daniel Khashabi

    PDF
  • Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in Twitter

    Chen Xing, Yuan Wang, Jie Liu, Yalou Huang, Wei-Ying Ma

    PDF
  • Agreement on Target-Bidirectional LSTMs for Sequence-to-Sequence Learning

    Lemao Liu, Andrew Finch, Masao Utiyama, Eiichiro Sumita

    PDF
  • Representation Learning of Knowledge Graphs with Entity Descriptions

    Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun

    PDF
  • A Unified Bayesian Model of Scripts, Frames and Language

    Francis Ferraro, Benjamin Van Durme

    PDF
  • ExTaSem! Extending, Taxonomizing and Semantifying Domain Terminologies

    Luis Espinosa-Anke, Horacio Saggion, Francesco Ronzano, Roberto Navigli

    PDF
  • Complementing Semantic Roles with Temporally Anchored Spatial Knowledge: Crowdsourced Annotations and Experiments

    Alakananda Vempala, Eduardo Blanco

    PDF
  • Fine-Grained Semantic Conceptualization of FrameNet

    Jin-woo Park, Seung-won Hwang, Haixun Wang

    PDF
  • Short Text Representation for Detecting Churn in Microblogs

    Hadi Amiri, Hal Daume III

    PDF
  • Verb Pattern: A Probabilistic Semantic Representation on Verbs

    Wanyun Cui, Xiyou Zhou, Hangyu Lin, Yanghua Xiao, Haixun Wang, Seung-won Hwang, Wei Wang

    PDF
  • A Generative Model of Words and Relationships from Multiple Sources

    Stephanie Hyland, Theofanis Karaletsos, Gunnar Rätsch

    PDF
  • PEAK: Pyramid Evaluation via Automated Knowledge Extraction

    Qian Yang, Rebecca Passonneau, Gerard de Melo

    PDF

Technical Papers: NLP and Machine Learning

  • Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching

    Michael Wick, Pallika Kanani, Adam Pocock

    PDF
  • Numerical Relation Extraction with Minimal Supervision

    Aman Madaan, Ashish Mittal, . Mausam, Ganesh Ramakrishnan, Sunita Sarawagi

    PDF
  • Morphological Segmentation with Window LSTM Neural Networks

    Linlin Wang, Zhu Cao, Yu Xia, Gerard de Melo

    PDF
  • Character-Aware Neural Language Models

    Yoon Kim, Yacine Jernite, David Sontag, Alexander Rush

    PDF
  • Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences

    Hongyuan Mei, Mohit Bansal, Matthew Walter

    PDF
  • Implicit Discourse Relation Classification via Multi-Task Neural Networks

    Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui

    PDF
  • Text Matching as Image Recognition

    Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng

    PDF
  • A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations

    Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng

    PDF
  • What Happens Next? Event Prediction Using a Compositional Neural Network Model

    Mark Granroth-Wilding, Stephen Clark

    PDF
  • Syntactic Skeleton-Based Translation

    Tong Xiao, Jingbo Zhu, Chunliang Zhang, Tongran Liu

    PDF
  • 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

    PDF
  • Jointly Modeling Topics and Intents with Global Order Structure

    Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang

    PDF
  • Convolution Kernels for Discriminative Learning from Streaming Text

    Michal Lukasik, Trevor Cohn

    PDF
  • Learning Statistical Scripts with LSTM Recurrent Neural Networks

    Karl Pichotta, Raymond Mooney

    PDF
  • Inferring Interpersonal Relations in Narrative Summaries

    Shashank Srivastava, Snigdha Chaturvedi, Tom Mitchell

    PDF
  • Siamese Recurrent Architectures for Learning Sentence Similarity

    Jonas Mueller, Aditya Thyagarajan

    PDF
  • Building Earth Mover’s Distance on Bilingual Word Embeddings for Machine Translation

    Meng Zhang, Yang Liu, Huanbo Luan, Maosong Sun, Tatsuya Izuha, Jie Hao

    PDF
  • Evaluation of Semantic Dependency Labeling Across Domains

    Svetlana Stoyanchev, Amanda Stent, Srinivas Bangalore

    PDF
  • A Representation Learning Framework for Multi-Source Transfer Parsing

    Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu

    PDF
  • Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and Reasoning

    Arindam Mitra, Chitta Baral

    PDF
  • A Morphology-Aware Network for Morphological Disambiguation

    Eray Yildiz, Caglar Tirkaz, H. Sahin, Mustafa Eren, Omer Sonmez

    PDF
  • Non-Linear Similarity Learning for Compositionality

    Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto

    PDF
  • Instructable Intelligent Personal Agent

    Amos Azaria, Jayant Krishnamurthy, Tom Mitchell

    PDF
  • Modeling Evolving Relationships Between Characters in Literary Novels

    Snigdha Chaturvedi, Shashank Srivastava, Hal Daume III, Chris Dyer

    PDF
  • Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text

    Snigdha Chaturvedi, Dan Goldwasser, Hal Daume III

    PDF
  • Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text

    Sahil Garg, Aram Galstyan, Ulf Hermjakob, Daniel Marcu

    PDF
  • Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations

    Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng

    PDF
  • Joint Word Representation Learning Using a Corpus and a Semantic Lexicon

    Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi

    PDF

Technical Papers: NLP and Text Mining

  • Gated Neural Networks for Targeted Sentiment Analysis

    Meishan Zhang, Yue Zhang, Duy-Tin Vo

    PDF
  • A Joint Model for Question Answering over Multiple Knowledge Bases

    Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao

    PDF
  • News Verification by Exploiting Conflicting Social Viewpoints in Microblogs

    Zhiwei Jin, Juan Cao, Yongdong Zhang, Jiebo Luo

    PDF
  • Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding

    Guangyi Lv, Tong Xu, Enhong Chen, Qi Liu, Yi Zheng

    PDF
  • Argument Mining from Speech: Detecting Claims in Political Debates

    Marco Lippi, Paolo Torroni

    PDF
  • A Joint Model for Entity Set Expansion and Attribute Extraction from Web Search Queries

    Zhenzhong Zhang, Le Sun, Xianpei Han

    PDF
  • To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation

    Christian Hadiwinoto, Yang Liu, Hwee Tou Ng

    PDF
  • A Semi-Supervised Learning Approach to Why-Question Answering

    Jong-Hoon Oh, Kentaro Torisawa, Chikara Hashimoto, Ryu Iida, Masahiro Tanaka, Julien Kloetzer

    PDF
  • Tweet Timeline Generation with Determinantal Point Processes

    Jin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Chang, Jianguo Xiao

    PDF
  • Identifying Search Keywords for Finding Relevant Social Media Posts

    Shuai Wang, Zhiyuan Chen, Bing Liu, Sherry Emery

    PDF
  • Exploring Multiple Feature Spaces for Novel Entity Discovery

    Zhaohui Wu, Yang Song, C. Giles

    PDF
  • Topical Analysis of Interactions Between News and Social Media

    Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan

    PDF
  • Joint Inference over a Lightly Supervised Information Extraction Pipeline: Towards Event Coreference Resolution for Resource-Scarce Languages

    Chen Chen, Vincent Ng

    PDF
  • Discovering User Attribute Stylistic Differences via Paraphrasing

    Daniel Preotiuc-Pietro, Wei Xu, Lyle Ungar

    PDF
  • Acquiring Knowledge of Affective Events from Blogs Using Label Propagation

    Haibo Ding, Ellen Riloff

    PDF
  • Labeling the Semantic Roles of Commas

    Naveen Arivazhagan, Christos Christodoulopoulos, Dan Roth

    PDF
  • Microsummarization of Online Reviews: An Experimental Study

    Rebecca Mason, Benjamin Gaska, Benjamin Van Durme, Pallavi Choudhury, Ted Hart, Bill Dolan, Kristina Toutanova, Margaret Mitchell

    PDF
  • Extracting Topical Phrases from Clinical Documents

    Yulan He

    PDF
  • Discourse Relations Detection via a Mixed Generative-Discriminative Framework

    Jifan Chen, Qi Zhang, Pengfei Liu, Xuanjing Huang

    PDF
  • Distant IE by Bootstrapping Using Lists and Document Structure

    Lidong Bing, Mingyang Ling, Richard Wang, William Cohen

    PDF
  • Improving Recommendation of Tail Tags for Questions in Community Question Answering

    Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou

    PDF
  • Joint Word Segmentation, POS-Tagging and Syntactic Chunking

    Chen Lyu, Yue Zhang, Donghong Ji

    PDF
  • Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word Embeddings

    Yafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji

    PDF
  • Temporal Topic Analysis with Endogenous and Exogenous Processes

    Baiyang Wang, Diego Klabjan

    PDF
  • Age of Exposure: A Model of Word Learning

    Mihai Dascalu, Danielle McNamara, Scott Crossley, Stefan Trausan-Matu

    PDF
  • Collective Supervision of Topic Models for Predicting Surveys with Social Media

    Adrian Benton, Michael Paul, Braden Hancock, Mark Dredze

    PDF
  • Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect Associations

    Qian Liu, Bing Liu, Yuanlin Zhang, Doo Soon Kim, Zhiqiang Gao

    PDF
  • A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification

    Shulin Liu, Kang Liu, Shizhu He, Jun Zhao

    PDF
  • TGSum: Build Tweet Guided Multi-Document Summarization Dataset

    Ziqiang Cao, Chengyao Chen, Wenjie Li, Sujian Li, Furu Wei, Ming Zhou

    PDF
  • Global Distant Supervision for Relation Extraction

    Xianpei Han, Le Sun

    PDF
  • Personalized Microblog Sentiment Classification via Multi-Task Learning

    Fangzhao Wu, Yongfeng Huang

    PDF
  • Aggregating Inter-Sentence Information to Enhance Relation Extraction

    Hao Zheng, Zhoujun Li, Senzhang Wang, Zhao Yan, Jianshe Zhou

    PDF

Technical Papers: Planning and Scheduling

  • A POMDP Formulation of Proactive Learning

    Kyle Wray, Shlomo Zilberstein

    PDF
  • Dynamic Controllability of Disjunctive Temporal Networks: Validation and Synthesis of Executable Strategies

    Alessandro Cimatti, Andrea Micheli, Marco Roveri

    PDF
  • Solving Risk-Sensitive POMDPs With and Without Cost Observations

    Ping Hou, William Yeoh, Pradeep Varakantham

    PDF
  • Goal Recognition Design with Non-Observable Actions

    Sarah Keren, Avigdor Gal, Erez Karpas

    PDF
  • A Proactive Sampling Approach to Project Scheduling under Uncertainty

    Pradeep Varakantham, Na Fu, Hoong Chuin Lau

    PDF
  • Solving Transition-Independent Multi-Agent MDPs with Sparse Interactions

    Joris Scharpff, Diederik Roijers, Frans Oliehoek, Matthijs Spaan, Mathijs de Weerdt

    PDF
  • Computing Contingent Plans Using Online Replanning

    Radimir Komarnitsky, Guy Shani

    PDF
  • Solving Goal Recognition Design Using ASP

    Tran Son, Orkunt Sabuncu, Christian Schulz-Hanke, Torsten Schaub, William Yeoh

    PDF
  • Randomised Procedures for Initialising and Switching Actions in Policy Iteration

    Shivaram Kalyanakrishnan, Neeldhara Misra, Aditya Gopalan

    PDF
  • Multi-Agent Path Finding with Payload Transfers and the Package-Exchange Robot-Routing Problem

    Hang Ma, Craig Tovey, Guni Sharon, T. K. Kumar, Sven Koenig

    PDF
  • General Error Bounds in Heuristic Search Algorithms for Stochastic Shortest Path Problems

    Eric Hansen, Ibrahim Abdoulahi

    PDF
  • Truncated Approximate Dynamic Programming with Task-Dependent Terminal Value

    Amir-massoud Farahmand, Daniel Nikovski, Yuji Igarashi, Hiroki Konaka

    PDF
  • Approximation Algorithms for Route Planning with Nonlinear Objectives

    Ger Yang, Evdokia Nikolova

    PDF
  • Efficient Macroscopic Urban Traffic Models for Reducing Congestion: A PDDL+ Planning Approach

    Mauro Vallati, Daniele Magazzeni, Bart De Schutter, Lukas Chrpa, Thomas McCluskey

    PDF

Technical Papers: Robotics

  • 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

    PDF
  • Distance Minimization for Reward Learning from Scored Trajectories

    Benjamin Burchfiel, Carlo Tomasi, Ronald Parr

    PDF
  • Continual Planning in Golog

    Till Hofmann, Tim Niemueller, Jens Claßen, Gerhard Lakemeyer

    PDF
  • Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks

    Peter Ondruska, Ingmar Posner

    PDF
  • 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

    PDF

Technical Papers: Reasoning under Uncertainty

  • On Learning Causal Models from Relational Data

    Sanghack Lee, Vasant Honavar

    PDF
  • Exact Sampling with Integer Linear Programs and Random Perturbations

    Carolyn Kim, Ashish Sabharwal, Stefano Ermon

    PDF
  • RAO*: An Algorithm for Chance-Constrained POMDP’s

    Pedro Rodrigues Quemel e Assis Santana, Sylvie Thiébaux, Brian Williams

    PDF
  • Online Spatio-Temporal Matching in Stochastic and Dynamic Domains

    Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

    PDF
  • A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPs

    Krishnendu Chatterjee, Martin Chmelík, Jessica Davies

    PDF
  • Separators and Adjustment Sets in Markov Equivalent DAGs

    Benito van der Zander, Maciej Liskiewicz

    PDF
  • Scaling Relational Inference Using Proofs and Refutations

    Ravi Mangal, Xin Zhang, Aditya Kamath, Aditya Nori, Mayur Naik

    PDF
  • Structured Features in Naive Bayes Classification

    Arthur Choi, Nazgol Tavabi, Adnan Darwiche

    PDF
  • Learning Ensembles of Cutset Networks

    Tahrima Rahman, Vibhav Gogate

    PDF
  • On Parameter Tying by Quantization

    Li Chou, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate

    PDF
  • Closing the Gap Between Short and Long XORs for Model Counting

    Shengjia Zhao, Sorathan Chaturapruek, Ashish Sabharwal, Stefano Ermon

    PDF
  • Approximate Probabilistic Inference via Word-Level Counting

    Supratik Chakraborty, Kuldeep Meel, Rakesh Mistry, Moshe Vardi

    PDF
  • Learning Bayesian Networks with Bounded Tree-width via Guided Search

    Siqi Nie, Cassio de Campos, Qiang Ji

    PDF
  • Closed-Form Gibbs Sampling for Graphical Models with Algebraic Constraints

    Hadi Mohasel Afshar, Scott Sanner, Christfried Webers

    PDF
  • From Exact to Anytime Solutions for Marginal MAP

    Junkyu Lee, Radu Marinescu, Rina Dechter, Alexander Ihler

    PDF

Technical Papers: Search and Constraint Satisfaction

  • Using the Shapley Value to Analyze Algorithm Portfolios

    Alexandre Fréchette, Lars Kotthoff, Tomasz Michalak, Talal Rahwan, Holger Hoos, Kevin Leyton-Brown

    PDF
  • Component Caching in Hybrid Domains with Piecewise Polynomial Densities

    Vaishak Belle, Guy Van den Broeck, Andrea Passerini

    PDF
  • On the Extraction of One Maximal Information Subset That Does Not Conflict with Multiple Contexts

    Éric Grégoire, Yacine Izza, Jean-Marie Lagniez

    PDF
  • The Meta-Problem for Conservative Mal’tsev Constraints

    Clement Carbonnel

    PDF
  • Alternative Filtering for the Weighted Circuit Constraint: Comparing Lower Bounds for the TSP and Solving TSPTW

    Sylvain Ducomman, Hadrien Cambazard, Bernard Penz

    PDF
  • Counting-Based Search for Constraint Optimization Problems

    Gilles Pesant

    PDF
  • Steiner Tree Problems with Side Constraints Using Constraint Programming

    Diego de Uña, Graeme Gange, Peter Schachte, Peter Stuckey

    PDF
  • Increasing Nogoods in Restart-Based Search

    Jimmy Lee, Christian Schulte, Zichen Zhu

    PDF
  • Bidirectional Search That Is Guaranteed to Meet in the Middle

    Robert Holte, Ariel Felner, Guni Sharon, Nathan Sturtevant

    PDF
  • Breaking More Composition Symmetries Using Search Heuristics

    Jimmy Lee, Zichen Zhu

    PDF
  • Exponential Recency Weighted Average Branching Heuristic for SAT Solvers

    Jia Liang, Vijay Ganesh, Pascal Poupart, Krzysztof Czarnecki

    PDF

Technical Papers: Vision

  • Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features

    Fangting Xia, Jun Zhu, Peng Wang, Alan Yuille

    PDF
  • Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation

    Yang Yang, Zhen Lei, Shifeng Zhang, Hailin Shi, Stan Li

    PDF
  • Multi-View 3D Human Tracking in Crowded Scenes

    Xiaobai Liu

    PDF
  • Unsupervised Co-Activity Detection from Multiple Videos Using Absorbing Markov Chain

    Donghun Yeo, Bohyung Han, Joon Hee Han

    PDF
  • Reading Scene Text in Deep Convolutional Sequences

    Pan He, Weilin Huang, Yu Qiao, Chen Loy, Xiaoou Tang

    PDF
  • DARI: Distance Metric and Representation Integration for Person Verification

    Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang

    PDF
  • Concepts Not Alone: Exploring Pairwise Relationships for Zero-Shot Video Activity Recognition

    Chuang Gan, Ming Lin, Yi Yang, Gerard Melo, Alexander G. Hauptmann

    PDF
  • Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision

    Marius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar

    PDF
  • Toward a Taxonomy and Computational Models of Abnormalities in Images

    Babak Saleh, Ahmed Elgammal, Jacob Feldman, Ali Farhadi

    PDF
  • Robust Complex Behaviour Modeling at 90Hz

    Xiangyu Kong, Yizhou Wang, Tao Xiang

    PDF
  • Articulated Pose Estimation Using Hierarchical Exemplar-Based Models

    Jiongxin Liu, Yinxiao Li, Peter Allen, Peter Belhumeur

    PDF
  • 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

    PDF
  • 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

    PDF
  • Decentralized Robust Subspace Clustering

    Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris Metaxas

    PDF
  • Dynamic Concept Composition for Zero-Example Event Detection

    Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander Hauptmann

    PDF
  • SentiCap: Generating Image Descriptions with Sentiments

    Alexander Mathews, Lexing Xie, Xuming He

    PDF
  • Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects

    Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi

    PDF
  • Learning to Answer Questions from Image Using Convolutional Neural Network

    Lin Ma, Zhengdong Lu, Hang Li

    PDF
  • 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

    PDF
  • Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval

    Fan Zhu, Jin Xie, Yi Fang

    PDF
  • Face Video Retrieval via Deep Learning of Binary Hash Representations

    Zhen Dong, Su Jia, Tianfu Wu, Mingtao Pei

    PDF
  • Group Cost-Sensitive Boosting for Multi-Resolution Pedestrian Detection

    Chao Zhu, Yuxin Peng

    PDF
  • Structured Output Prediction for Semantic Perception in Autonomous Vehicles

    Rein Houthooft, Cedric De Boom, Stijn Verstichel, Femke Ongenae, Filip De Turck

    PDF
  • Transductive Zero-Shot Recognition via Shared Model Space Learning

    Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang

    PDF
  • Face Model Compression by Distilling Knowledge from Neurons

    Ping Luo, Zhenyao Zhu, Ziwei Liu, Xiaogang Wang, Xiaoou Tang

    PDF
  • MC-HOG Correlation Tracking with Saliency Proposal

    Guibo Zhu, Jinqiao Wang, Yi Wu, Xiaoyu Zhang, Hanqing Lu

    PDF
  • 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

    PDF
  • Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair

    Hao Xiong, Tongliang Liu, Dacheng Tao

    PDF
  • Video Semantic Clustering with Sparse and Incomplete Tags

    Jingya Wang, Xiatian Zhu, Shaogang Gong

    PDF
  • Discrete Image Hashing Using Large Weakly Annotated Photo Collections

    Hanwang Zhang, Na Zhao, Xindi Shang, Huanbo Luan, Tat-seng Chua

    PDF
  • Deep Quantization Network for Efficient Image Retrieval

    Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen

    PDF
  • Recognizing Actions in 3D Using Action-Snippets and Activated Simplices

    Chunyu Wang, John Flynn, Yizhou Wang, Alan Yuille

    PDF
  • Path Following with Adaptive Path Estimation for Graph Matching

    Tao Wang, Haibin Ling

    PDF
  • Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos

    Mohamed Elhoseiny, Jingen Liu, Hui Cheng, Harpreet Sawhney, Ahmed Elgammal

    PDF
  • Large Scale Similarity Learning Using Similar Pairs for Person Verification

    Yang Yang, Shengcai Liao, Zhen Lei, Stan Li

    PDF

Senior Member Blue Sky Papers

  • Five Dimensions of Reasoning in the Wild

    Don Perlis

    PDF
  • Indefinite Scalability for Living Computation

    David Ackley

    PDF
  • Ethical Dilemmas for Adaptive Persuasion Systems

    Oliviero Stock, Marco Guerini, Fabio Pianesi

    PDF
  • Embedding Ethical Principles in Collective Decision Support Systems

    Joshua Greene, Francesca Rossi, John Tasioulas, Kristen Venable, Brian Williams

    PDF

Doctoral Consortium

  • Writing Stories with Help from Recurrent Neural Networks

    Melissa Roemmele

    PDF
  • Privacy Management in Agent-Based Social Networks

    Nadin Kokciyan

    PDF
  • Multi-Modal Learning over User-Contributed Content from Cross-Domain Social Media

    Wen-Yu Lee

    PDF
  • Apprenticeship Scheduling for Human-Robot Teams

    Matthew Gombolay

    PDF
  • Estimating Text Intelligibility via Information Packaging Analysis

    Junyi Li

    PDF
  • Analogical Generalization of Linguistic Constructions

    Clifton McFate

    PDF
  • Integrating Planning and Recognition to Close the Interaction Loop

    Richard Freedman

    PDF
  • Adapting Plans through Communication with Unknown Teammates

    Trevor Sarratt

    PDF
  • Interactive Learning and Analogical Chaining for Moral and Commonsense Reasoning

    Joseph Blass

    PDF
  • Unsupervised Learning of HTNs in Complex Adversarial Domains

    Michael Leece

    PDF
  • Pragmatic Querying in Heterogeneous Knowledge Graphs

    Amar Viswanathan

    PDF
  • Machine Learning for Computational Psychology

    Sarah Brown

    PDF
  • Scaling-Up MAP and Marginal MAP Inference in Markov Logic

    Somdeb Sarkhel

    PDF
  • Robust Classification under Covariate Shift with Application to Active Learning

    Anqi Liu

    PDF
  • Affective Computing and Applications of Image Emotion Perceptions

    Sicheng Zhao, Hongxun Yao

    PDF
  • Architectural Mechanisms for Situated Natural Language Understanding in Uncertain and Open Worlds

    Tom Williams

    PDF
  • Robust Learning from Demonstration Techniques and Tools

    William Curran

    PDF

Demonstrations

  • Artificial Intelligence for Predictive and Evidence Based Architecture Design

    Mehul Bhatt, Jakob Suchan, Carl Schultz, Vasiliki Kondyli, Saurabh Goyal

    PDF
  • 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

    PDF
  • NLU Framework for Voice Enabling Non-Native Applications on Smart Devices

    Soujanya Lanka, Deepika Pathania, Pooja Kushalappa, Pradeep Varakantham

    PDF
  • Modeling and Experimentation Framework for Fuzzy Cognitive Maps

    Maikel Leon Espinosa, Gonzalo Napoles Ruiz

    PDF
  • 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. Giles

    PDF
  • Predicting Gaming Related Properties from Twitter Accounts

    Maria Gorinova, Yoad Lewenberg, Yoram Bachrach, Alfredo Kalaitzis, Michael Fagan, Dean Carignan, Nitin Gautam

    PDF
  • Using Convolutional Neural Networks to Analyze Function Properties from Images

    Yoad Lewenberg, Yoram Bachrach, Ian Kash, Peter Key

    PDF
  • Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information

    Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi

    PDF
  • EDDIE: An Embodied AI System for Research and Intervention for Individuals with ASD

    Robert Selkowitz, Jonathan Rodgers, P. Moskal, Jon Mrowczynski, Christine Colson

    PDF
  • 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

    PDF
  • A Tool to Graphically Edit CP-Nets

    Aidan Shafran, Sam Saarinen, Judy Goldsmith

    PDF
  • Markov Argumentation Random Fields

    Yuqing Tang, Nir Oren, Katia Sycara

    PDF
  • Information Credibility Evaluation on Social Media

    Shu Wu, Qiang Liu, Yong Liu, Liang Wang, Tieniu Tan

    PDF
  • Toward Interactive Relational Learning

    Ryan Rossi, Rong Zhou

    PDF
  • Shoot to Know What: An Application of Deep Networks on Mobile Devices

    Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng

    PDF
  • co-rank: An Online Tool for Collectively Deciding Efficient Rankings Among Peers

    Ioannis Caragiannis, George Krimpas, Marianna Panteli, Alexandros Voudouris

    PDF
  • Artificial Swarm Intelligence, a Human-in-the-Loop Approach to A.I.

    Louis Rosenberg

    PDF
  • Jikan to Kukan: A Hands-On Musical Experience in AI, Games and Art

    Georgia Martins, Mário Escarce Junior, Leandro Soriano Marcolino

    PDF
  • DECT: Distributed Evolving Context Tree for Understanding User Behavior Pattern Evolution

    Xiaokui Shu, Nikolay Laptev, Danfeng Yao

    PDF
  • SVVAMP: Simulator of Various Voting Algorithms in Manipulating Populations

    François Durand, Fabien Mathieu, Ludovic Noirie

    PDF
  • 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

    PDF
  • A Visual Semantic Framework for Innovation Analytics

    Walid Shalaby, Kripa Rajshekhar, Wlodek Zadrozny

    PDF
  • Productive Aging through Intelligent Personalized Crowdsourcing

    Han Yu, Chunyan Miao, Siyuan Liu, Zhengxiang Pan, Nur Syahidah Khalid, Zhiqi Shen, Cyril Leung

    PDF
  • Write-righter: An Academic Writing Assistant System

    Yuanchao Liu, Xin Wang, Ming Liu, Xiaolong Wang

    PDF
  • A Fraud Resilient Medical Insurance Claim System

    Yuliang Shi, Chenfei Sun, Qingzhong Li, Lizhen Cui, Han Yu, Chunyan Miao

    PDF
  • SAPE: A System for Situation-Aware Public Security Evaluation

    Shu Wu, Qiang Liu, Ping Bai, Liang Wang, Tieniu Tan

    PDF
  • Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration)

    Fei Fang, Thanh Nguyen, Rob Pickles, Wai Lam, Gopalasamy Clements, Bo An, Amandeep Singh, Milind Tambe

    PDF
  • Multi-Agent System Development MADE Easy

    Zhiqi Shen, Han Yu, Chunyan Miao, Siyao Li, Yiqiang Chen

    PDF
  • 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

    PDF

EAAI Symposium Full Paper

  • Creating Interactive and Visual Educational Resources for AI

    Sameer Singh, Sebastian Riedel

    PDF
  • Using Domain Knowledge to Improve Monte-Carlo Tree Search Performance in Parameterized Poker Squares

    Robert Arrington, Clay Langley, Steven Bogaerts

    PDF
  • The Turing Test in the Classroom

    Lisa Torrey, Karen Johnson, Sid Sondergard, Pedro Ponce, Laura Desmond

    PDF
  • 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

    PDF
  • Conceptualizing Curse of Dimensionality with Parallel Coordinates

    G. Devi, Charu Chauhan, Sutanu Chakraborti

    PDF
  • BeeMo, a Monte Carlo Simulation Agent for Playing Parameterized Poker Squares

    Karo Castro-Wunsch, William Maga, Calin Anton

    PDF
  • A Survey of Current Practice and Teaching of AI

    Michael Wollowski, Robert Selkowitz, Laura Brown, Ashok Goel, George Luger, Jim Marshall, Andrew Neel, Todd Neller, Peter Norvig

    PDF
  • Design of an Online Course on Knowledge-Based AI

    Ashok Goel, David Joyner

    PDF
  • Teaching Big Data Analytics Skills with Intelligent Workflow Systems

    Yolanda Gil

    PDF
  • Learning and Using Hand Abstraction Values for Parameterized Poker Squares

    Todd Neller, Colin Messinger, Zuozhi Yang

    PDF

EAAI Symposium Model AI Assignments

  • Model AI Assignments 2016

    Todd Neller, Laura Brown, James Marshall, Lisa Torrey, Nate Derbinsky, Andrew Ward, Thomas Allen, Judy Goldsmith, Nahom Muluneh

    PDF

EAAI Symposium Poster Paper

  • An Online Logic Programming Development Environment

    Christian Reotutar, Mbathio Diagne, Evgenii Balai, Edward Wertz, Peter Lee, Shao-Lon Yeh, Yuanlin Zhang

    PDF
  • Using Declarative Programming in an Introductory Computer Science Course for High School Students

    Maritza Reyes, Cynthia Perez, Rocky Upchurch, Timothy Yuen, Yuanlin Zhang

    PDF
  • IRobot: Teaching the Basics of Artificial Intelligence in High Schools

    Harald Burgsteiner, Martin Kandlhofer, Gerald Steinbauer

    PDF
  • Teaching Automated Strategic Reasoning Using Capstone Tournaments

    Oscar Veliz, Marcus Gutierrez, Christopher Kiekintveld

    PDF
  • Training Watson — A Cognitive Systems Course

    Michael Wollowski

    PDF
  • A.I. as an Introduction to Research Methods in Computer Science

    Raghuram Ramanujan

    PDF

What's Hot Abstracts

  • General Video Game AI: Competition, Challenges and Opportunities

    Diego Perez-Liebana, Spyridon Samothrakis, Julian Togelius, Tom Schaul, Simon Lucas

    PDF
  • Competition of Distributed and Multiagent Planners (CoDMAP)

    Michal Štolba, Antonín Komenda, Daniel Kovacs

    PDF
  • What’s Hot at RoboCup

    Peter Stone

    PDF
  • What’s Hot in the Answer Set Programming Competition

    Martin Gebser, Marco Maratea, Francesco Ricca

    PDF
  • What’s Hot in Heuristic Search

    Roni Stern, Levi Lelis

    PDF
  • Inductive Logic Programming: Challenges

    Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto

    PDF
  • Angry Birds as a Challenge for Artificial Intelligence

    Jochen Renz, XiaoYu Ge, Rohan Verma, Peng Zhang

    PDF
  • What’s Hot in Human Language Technology: Highlights from NAACL HLT 2015

    Joyce Chai, Anoop Sarkar, Rada Mihalcea

    PDF
  • What’s Hot in Intelligent User Interfaces

    Shimei Pan, Oliver Brdiczka, Giuseppe Carenini, Duen Chau, Per Ola Kristensson

    PDF

Senior Member Summary Talks

  • Strategic Behaviour When Allocating Indivisible Goods

    Toby Walsh

    PDF
  • Rational Verification: From Model Checking to Equilibrium Checking

    Michael Wooldridge, Julian Gutierrez, Paul Harrenstein, Enrico Marchioni, Giuseppe Perelli, Alexis Toumi

    PDF
  • Natural Language Processing for Enhancing Teaching and Learning

    Diane Litman

    PDF
  • Ontology Instance Linking: Towards Interlinked Knowledge Graphs

    Jeff Heflin, Dezhao Song

    PDF

Special Track: Cognitive Systems

  • Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model

    Ryo Nakahashi, Chris Baker, Joshua Tenenbaum

    PDF
  • Surprise-Triggered Reformulation of Design Goals

    Kazjon Grace, Mary Lou Maher

    PDF
  • Modeling Human Ad Hoc Coordination

    Peter Krafft, Chris Baker, Alex Pentland, Joshua Tenenbaum

    PDF
  • Commonsense Interpretation of Triangle Behavior

    Andrew Gordon

    PDF
  • Visual Learning of Arithmetic Operation

    Yedid Hoshen, Shmuel Peleg

    PDF
  • Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models

    Iulian Serban, Alessandro Sordoni, Yoshua Bengio, Aaron Courville, Joelle Pineau

    PDF
  • Predicting Readers’ Sarcasm Understandability by Modeling Gaze Behavior

    Abhijit Mishra, Diptesh Kanojia, Pushpak Bhattacharyya

    PDF
  • Unsupervised Lexical Simplification for Non-Native Speakers

    Gustavo Paetzold, Lucia Specia

    PDF
  • MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated Autonomy

    Michael Cox, Zohreh Alavi, Dustin Dannenhauer, Vahid Eyorokon, Hector Munoz-Avila, Don Perlis

    PDF
  • Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science

    Satabdi Basu, Gautam Biswas, John Kinnebrew

    PDF
  • 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

    PDF

Special Track: Computational Sustainability

  • Shortest Path Based Decision Making Using Probabilistic Inference

    Akshat Kumar

    PDF
  • Optimizing Resilience in Large Scale Networks

    Xiaojian Wu, Daniel Sheldon, Shlomo Zilberstein

    PDF
  • Big-Data Mechanisms and Energy-Policy Design

    Ankit Pat, Kate Larson, Srinivasen Keshav

    PDF
  • Achieving Stable and Fair Profit Allocation with Minimum Subsidy in Collaborative Logistics

    Lucas Agussurja, Hoong Chuin Lau, Shih-Fen Cheng

    PDF
  • Adaptable Regression Method for Ensemble Consensus Forecasting

    John Williams, Peter Neilley, Joseph Koval, Jeff McDonald

    PDF
  • Topic Models to Infer Socio-Economic Maps

    Lingzi Hong, Enrique Frias-Martinez, Vanessa Frias-Martinez

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  • Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time

    Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath

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  • A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection

    Kai Fan, Chunyuan Li, Katherine Heller

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  • Benders Decomposition for Large-Scale Prescriptive Evacuations

    Julia Romanski, Pascal Van Hentenryck

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  • Spatially Regularized Streaming Sensor Selection

    Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang

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  • Optimizing Infrastructure Enhancements for Evacuation Planning

    Kunal Kumar, Julia Romanski, Pascal Van Hentenryck

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  • Intelligent Habitat Restoration Under Uncertainty

    Tommaso Urli, Jana Brotánková, Philip Kilby, Pascal Van Hentenryck

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  • Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression

    Ransalu Senanayake, Simon O'Callaghan, Fabio Ramos

    PDF
  • Energy- and Cost-Efficient Pumping Station Control

    Timon Kanters, Frans Oliehoek, Michael Kaisers, Stan van den Bosch, Joep Grispen, Jeroen Hermans

    PDF
  • Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations

    Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit Sheth, Tanvi Banerjee

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  • An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid

    Sambaran Bandyopadhyay, Ramasuri Narayanam, Pratyush Kumar, Sarvapali Ramchurn, Vijay Arya, Iskandarbin Petra

    PDF
  • An Algorithm to Coordinate Measurements Using Stochastic Human Mobility Patterns in Large-Scale Participatory Sensing Settings

    Alexandros Zenonos, Sebastian Stein, Nicholas Jennings

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  • Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security

    Sara Marie Mc Carthy, Milind Tambe, Christopher Kiekintveld, Meredith Gore, Alex Killion

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  • Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity

    Forrest Briggs, Xiaoli Fern, Raviv Raich, Matthew Betts

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  • Understanding Dominant Factors for Precipitation over the Great Lakes Region

    Soumyadeep Chatterjee, Stefan Liess, Arindam Banerjee, Vipin Kumar

    PDF
  • Robust Decision Making for Stochastic Network Design

    Akshat Kumar, Arambam Singh, Pradeep Varakantham, Daniel Sheldon

    PDF
  • Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping

    Michael Xie, Neal Jean, Marshall Burke, David Lobell, Stefano Ermon

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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

    PDF
  • A Framework for Resolving Open-World Referential Expressions in Distributed Heterogeneous Knowledge Bases

    Tom Williams, Matthias Scheutz

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  • 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

    PDF

Student Abstracts and Posters

  • BRBA: A Blocking-Based Association Rule Hiding Method

    Peng Cheng, Ivan Lee, Li Li, Kuo-Kun Tseng, Jeng-Shyang Pan

    PDF
  • Weighted A* Algorithms for Unsupervised Feature Selection with Provable Bounds on Suboptimality

    Hiromasa Arai, Ke Xu, Crystal Maung, Haim Schweitzer

    PDF
  • Hierarchy Prediction in Online Communities

    Denys Katerenchuk, Andrew Rosenberg

    PDF
  • Bayesian AutoEncoder: Generation of Bayesian Networks with Hidden Nodes for Features

    Kaneharu Nishino, Mary Inaba

    PDF
  • Heuristic Planning for Hybrid Systems

    Wiktor Piotrowski, Maria Fox, Derek Long, Daniele Magazzeni, Fabio Mercorio

    PDF
  • Learning Complex Stand-Up Motion for Humanoid Robots

    Heejin Jeong, Daniel Lee

    PDF
  • Abstraction Using Analysis of Subgames

    Anjon Basak

    PDF
  • Decision Sum-Product-Max Networks

    Mazen Melibari, Pascal Poupart, Prashant Doshi

    PDF
  • Bayesian Markov Games with Explicit Finite-Level Types

    Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi

    PDF
  • Multivariate Conditional Outlier Detection and Its Clinical Application

    Charmgil Hong, Milos Hauskrecht

    PDF
  • Human-Robot Trust and Cooperation Through a Game Theoretic Framework

    Erin Paeng, Jane Wu, James Boerkoel

    PDF
  • Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm

    Thanh Nguyen, Arunesh Sinha, Milind Tambe

    PDF
  • Intrinsic and Extrinsic Evaluations of Word Embeddings

    Michael Zhai, Johnny Tan, Jinho Choi

    PDF
  • Robust Execution Strategies for Probabilistic Temporal Planning

    Sam Dietrich, Kyle Lund, James Boerkoel

    PDF
  • Discriminative Structure Learning of Arithmetic Circuits

    Amirmohammad Rooshenas, Daniel Lowd

    PDF
  • Abstracting Complex Domains Using Modular Object-Oriented Markov Decision Processes

    Shawn Squire, Marie desJardins

    PDF
  • Structure Aware L1 Graph for Data Clustering

    Shuchu Han, Hong Qin

    PDF
  • Connecting the Dots Using Contextual Information Hidden in Text and Images

    Md Abdul Kader, Sheikh Naim, Arnold Boedihardjo, M. Shahriar Hossain

    PDF
  • ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms

    Enrico Santus, Alessandro Lenci, Tin-Shing Chiu, Qin Lu, Chu-Ren Huang

    PDF
  • 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

    PDF
  • Text Simplification Using Neural Machine Translation

    Tong Wang, Ping Chen, John Rochford, Jipeng Qiang

    PDF
  • Business Event Curation: Merging Human and Automated Approaches

    Yiqi Wang, Huiying Ma, Nichola Lowe, Maryann Feldman, Charles Schmitt

    PDF
  • Towards Structural Tractability in Hedonic Games

    Dominik Peters

    PDF
  • Counter-Transitivity in Argument Ranking Semantics

    Fuan Pu, Jian Luo, Guiming Luo

    PDF
  • Iterative Project Quasi-Newton Algorithm for Training RBM

    Shuai Mi, Xiaozhao Zhao, Yuexian Hou, Peng Zhang, Wenjie Li, Dawei Song

    PDF
  • Evaluating the Robustness of Game Theoretic Solutions When Using Abstraction

    Oscar Veliz

    PDF
  • Predicting Links and Their Building Time: A Path-Based Approach

    Manling Li, Yantao Jia, Yuanzhuo Wang, Zeya Zhao, Xueqi Cheng

    PDF
  • Predicting Prices in the Power TAC Wholesale Energy Market

    Moinul Morshed Porag Chowdhury

    PDF
  • Efficient Collaborative Crowdsourcing

    Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung

    PDF
  • Image Privacy Prediction Using Deep Features

    Ashwini Tonge, Cornelia Caragea

    PDF
  • Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version)

    Varun Gangal, Abhishek Narwekar, Balaraman Ravindran, Ramasuri Narayanam

    PDF
  • Monte Carlo Tree Search for Multi-Robot Task Allocation

    Bilal Kartal, Ernesto Nunes, Julio Godoy, Maria Gini

    PDF
  • MIP-Nets: Enabling Information Sharing in Loosely-Coupled Teamwork

    Ofra Amir, Barbara Grosz, Krzysztof Gajos

    PDF
  • A CP-Based Approach for Popular Matching

    Danuta Chisca, Mohamed Siala, Gilles Simonin, Barry O'Sullivan

    PDF
  • User-Centric Affective Computing of Image Emotion Perceptions

    Sicheng Zhao, Hongxun Yao, Wenlong Xie, Xiaolei Jiang

    PDF
  • Pseudo-Tree Construction Heuristics for DCOPs with Variable Communication Times

    Atena M Tabakhi

    PDF
  • Two-Stream Contextualized CNN for Fine-Grained Image Classification

    Jiang Liu, Chenqiang Gao, Deyu Meng, Wangmeng Zuo

    PDF
  • Direct Discriminative Bag Mapping for Multi-Instance Learning

    Jia Wu, Shirui Pan, Peng Zhang, Xingquan Zhu

    PDF
  • Handling Class Imbalance in Link Prediction Using Learning to Rank Techniques

    Bopeng Li, Sougata Chaudhuri, Ambuj Tewari

    PDF
  • Learning Structural Features of Nodes in Large-Scale Networks for Link Prediction

    Aakas Zhiyuli, Xun Liang, Xiaoping Zhou

    PDF
  • Epitomic Image Super-Resolution

    Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas Huang

    PDF
  • A Word Embedding and a Josa Vector for Korean Unsupervised Semantic Role Induction

    Kyeong-Min Nam, Yu-Seop Kim

    PDF
  • Social Emotion Classification via Reader Perspective Weighted Model

    Xin Li, Yanghui Rao, Yanjia Chen, Xuebo Liu, Huan Huang

    PDF
  • MicroScholar: Mining Scholarly Information from Chinese Microblogs

    Yang Yu, Xiaojun Wan

    PDF
  • Authorship Attribution Using a Neural Network Language Model

    Zhenhao Ge, Yufang Sun, Mark Smith

    PDF
  • A Comparison of Supervised Learning Algorithms for Telerobotic Control Using Electromyography Signals

    Tyler Frasca, Antonio Sestito, Craig Versek, Douglas Dow, Barry Husowitz, Nate Derbinsky

    PDF
  • Mobility Sequence Extraction and Labeling Using Sparse Cell Phone Data

    Yingxiang Yang, Peter Widhalm, Shounak Athavale, Marta Gonzalez

    PDF
  • SPAN: Understanding a Question with Its Support Answers

    Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng

    PDF

Technical Papers: AI and the Web

  • On the Effectiveness of Linear Models for One-Class Collaborative Filtering

    Suvash Sedhain, Aditya Menon, Scott Sanner, Darius Braziunas

    PDF
  • College Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare Locations

    Hancheng Ge, James Caverlee

    PDF
  • 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

    PDF
  • Column-Oriented Datalog Materialization for Large Knowledge Graphs

    Jacopo Urbani, Ceriel Jacobs, Markus Krötzsch

    PDF
  • Understanding Emerging Spatial Entities

    Jinyoung Yeo, Jin-woo Park, Seung-won Hwang

    PDF
  • Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns

    Jing He, Xin Li, Lejian Liao, Dandan Song, William Cheung

    PDF
  • A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs

    Athirai Irissappane, Frans A. Oliehoek, Jie Zhang

    PDF
  • ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources

    Mehdi Samadi, Partha Talukdar, Manuela Veloso, Manuel Blum

    PDF
  • Robust Text Classification in the Presence of Confounding Bias

    Virgile Landeiro, Aron Culotta

    PDF
  • Fortune Teller: Predicting Your Career Path

    Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David Rosenblum

    PDF
  • Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition

    Bo Wu, Tao Mei, Wen-Huang Cheng, Yongdong Zhang

    PDF
  • Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts

    Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan

    PDF
  • Community-Based Question Answering via Heterogeneous Social Network Learning

    Hanyin Fang, Fei Wu, Zhou Zhao, Xinyu Duan, Yueting Zhuang, Martin Ester

    PDF
  • VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback

    Ruining He, Julian McAuley

    PDF
  • Context-Sensitive Twitter Sentiment Classification Using Neural Network

    Yafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji

    PDF
  • From Tweets to Wellness: Wellness Event Detection from Twitter Streams

    Mohammad Akbari, Xia Hu, Nie Liqiang, Tat-Seng Chua

    PDF
  • Recommendation with Social Dimensions

    Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu

    PDF
  • Semantic Community Identification in Large Attribute Networks

    Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang

    PDF
  • Capturing Semantic Correlation for Item Recommendation in Tagging Systems

    Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Deren Chen

    PDF
  • Cross-Lingual Taxonomy Alignment with Bilingual Biterm Topic Model

    Tianxing Wu, Guilin Qi, Haofen Wang, Kang Xu, Xuan Cui

    PDF
  • 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

    PDF
  • Online Cross-Modal Hashing for Web Image Retrieval

    Liang Xie, Jialie Shen, Lei Zhu

    PDF
  • Detect Overlapping Communities via Ranking Node Popularities

    Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang

    PDF
  • Improved Neural Machine Translation with SMT Features

    Wei He, Zhongjun He, Hua Wu, Haifeng Wang

    PDF
  • Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction

    Yongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David Rosenblum

    PDF
  • Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark

    Quanzeng You, Jiebo Luo, Hailin Jin, Jianchao Yang

    PDF
  • STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation

    Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael Lyu, Irwin King

    PDF
  • Business-Aware Visual Concept Discovery from Social Media for Multimodal Business Venue Recognition

    Bor-Chun Chen, Yan-Ying Chen, Francine Chen, Dhiraj Joshi

    PDF
  • Predicting Online Protest Participation of Social Media Users

    Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu

    PDF
  • Top-N Recommender System via Matrix Completion

    Zhao Kang, Chong Peng, Qiang Cheng

    PDF
  • 8 Amazing Secrets for Getting More Clicks: Detecting Clickbaits in News Streams Using Article Informality

    Prakhar Biyani, Kostas Tsioutsiouliklis, John Blackmer

    PDF
  • Supervised Hashing via Uncorrelated Component Analysis

    SungRyull Sohn, Hyunwoo Kim, Junmo Kim

    PDF
  • Identifying Sentiment Words Using an Optimization Model with L1 Regularization

    Zhi-Hong Deng, Hongliang Yu, Yunlun Yang

    PDF

Technical Papers: Applications

  • 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

    PDF
  • Survival Prediction by an Integrated Learning Criterion on Intermittently Varying Healthcare Data

    Jianfei Zhang, Lifei Chen, Alain Vanasse, Josiane Courteau, Shengrui Wang

    PDF
  • Social Role-Aware Emotion Contagion in Image Social Networks

    Yang Yang, Jia Jia, Boya Wu, Jie Tang

    PDF
  • Learning to Generate Posters of Scientific Papers

    Yuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal

    PDF
  • Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds

    Meng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, Shiqiang Yang

    PDF
  • Scientific Ranking over Heterogeneous Academic Hypernetwork

    Ronghua Liang, Xiaorui Jiang

    PDF
  • Face Behind Makeup

    Shuyang Wang, Yun Fu

    PDF
  • 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

    PDF
  • Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices

    Mohammad Islam, K. S. M. Hossain, Siddharth Krishnan, Naren Ramakrishnan

    PDF
  • MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction

    Zeming Lin, Jack Lanchantin, Yanjun Qi

    PDF
  • Hospital Stockpiling Problems with Inventory Sharing

    Eric Lofgren, Anil Vullikanti

    PDF

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