Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Melbourne, Australia 19-25 August 2017

Edited by Carles Sierra, IIIA-CSIC

Sponsored by
International Joint Conferences on Artifical Intelligence (IJCAI)

Published by
International Joint Conferences on Artificial Intelligence

Copyright © 2017 International Joint Conferences on Artificial Intelligence
All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.

IJCAI Secretary-Treasurer: Prof. Dr. Bernhard Nebel, Computer Science Department, Albert-Ludwigs-Universitaet Freiburg, Georges-Koehler-Allee, Geb. 052 D-79110 Freiburg, Germany

IJCAI Executive Secretary Ms. Vesna Sabljakovic-Fritz, Vienna University of Technology, Institute of Discrete Mathematics and Geometry, E104 Wiedner Hauptstr. 8-10, A-1040 Vienna, Austria

ISBN (Online): 978-0-9992411-0-3


Donwnload preface here.


Invited Speakers

Swift Logic for Big Data and Knowledge Graphs
Luigi Bellomarini, Georg Gottlob, Andreas Pieris, Emanuel Sallinger
Deep Learning at Alibaba
Rong Jin
From Automation to Autonomous Systems: A Legal Phenomenology with Problems of Accountability
Ugo Pagallo
Super-Human AI for Strategic Reasoning: Beating Top Pros in Heads-Up No-Limit Texas Hold'em
Tuomas Sandholm

Main track

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

AI and autonomy track

When Will Negotiation Agents Be Able to Represent Us? The Challenges and Opportunities for Autonomous Negotiators
Tim Baarslag, Michael Kaisers, Enrico H. Gerding, Catholijn M. Jonker, Jonathan Gratch
Algorithmic Bias in Autonomous Systems
David Danks, Alex John London
Responsible Autonomy
Virginia Dignum
Reinforcement Learning with a Corrupted Reward Channel
Tom Everitt, Victoria Krakovna, Laurent Orseau, Shane Legg
A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat
Michael W. Floyd, Justin Karneeb, Philip Moore, David W. Aha
On Automating the Doctrine of Double Effect
Naveen Sundar Govindarajulu, Selmer Bringsjord
Achieving Coordination in Multi-Agent Systems by Stable Local Conventions under Community Networks
Shuyue Hu, Ho-fung Leung
Context-Based Reasoning on Privacy in Internet of Things
Nadin Kokciyan, Pinar Yolum
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning
Rowan McAllister, Yarin Gal, Alex Kendall, Mark van der Wilk, Amar Shah, Roberto Cipolla, Adrian Weller
Should Robots be Obedient?
Smitha Milli, Dylan Hadfield-Menell, Anca Dragan, Stuart Russell
Privacy and Autonomous Systems
Jose M. Such
Online Decision-Making for Scalable Autonomous Systems
Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein

Best Sister Conferences

Rationalisation of Profiles of Abstract Argumentation Frameworks: Extended Abstract
Stephane Airiau, Elise Bonzon, Ulle Endriss, Nicolas Maudet, Julien Rossit
Unsatisfiable Core Shrinking for Anytime Answer Set Optimization
Mario Alviano, Carmine Dodaro
A Verified SAT Solver Framework with Learn, Forget, Restart, and Incrementality
Jasmin Christian Blanchette, Mathias Fleury, Christoph Weidenbach
Concerning Referring Expressions in Query Answers
Alexander Borgida, David Toman, Grant Weddell
Open-World Probabilistic Databases: An Abridged Report
Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck
Efficient Techniques for Crowdsourced Top-k Lists
Luca de Alfaro, Vassilis Polychronopoulos, Neoklis Polyzotis
Predicting Human Similarity Judgments with Distributional Models: The Value of Word Associations
Simon De Deyne, Amy Perfors, Daniel J. Navarro
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling
Christopher De Sa, Kunle Olukotun, Christopher Ré
Intuitionistic Layered Graph Logic
Simon Docherty, David Pym
User-Based Opinion-based Recommendation
Ruihai Dong, Barry Smyth
Enhancing Crowdworkers' Vigilance
Avshalom Elmalech, David Sarne, Esther David, Chen Hajaj
Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems
Clemens Eppner, Sebastian Höfer, Rico Jonschkowski, Roberto Martín-Martín, Arne Sieverling, Vincent Wall, Oliver Brock
Lexicons on Demand: Neural Word Embeddings for Large-Scale Text Analysis
Ethan Fast, Binbin Chen, Michael S. Bernstein
Which is the Fairest (Rent Division) of Them All? [Extended Abstract]
Ya'akov (Kobi) Gal, Moshe Mash, Ariel D. Procaccia, Yair Zick
Using Constraint Programming to solve a Cryptanalytic Problem
David Gerault, Marine Minier, Christine Solnon
Multi-Type Activity Recognition from a Robot's Viewpoint
Ilaria Gori, J. K. Aggarwal, Larry Matthies, Michael. S. Ryoo
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study
Suyog Gupta, Wei Zhang, Fei Wang
First-Order Modular Logic Programs and their Conservative Extensions (Extended Abstract)
Amelia Harrison, Yuliya Lierler
Solving Very Hard Problems: Cube-and-Conquer, a Hybrid SAT Solving Method
Marijn J.H. Heule, Oliver Kullmann, Victor W. Marek
Summary: Multi-Agent Path Finding with Kinematic Constraints
Wolfgang Hönig, T. K. Satish Kumar, Liron Cohen, Hang Ma, Hong Xu, Nora Ayanian, Sven Koenig
Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach
Vahid Jalali, David Leake, Najmeh Forouzandehmehr
An End-to-End System for Accomplishing Tasks with Modular Robots: Perspectives for the AI community
Gangyuan Jing, Tarik Tosun, Mark Yim, Hadas Kress-Gazit
Blockedness in Propositional Logic: Are You Satisfied With Your Neighborhood?
Benjamin Kiesl, Martina Seidl, Hans Tompits, Armin Biere
On Thompson Sampling and Asymptotic Optimality
Jan Leike, Tor Lattimore, Laurent Orseau, Marcus Hutter
A SAT Approach to Branchwidth
Neha Lodha, Sebastian Ordyniak, Stefan Szeider
Self-Adjusting Memory: How to Deal with Diverse Drift Types
Viktor Losing, Barbara Hammer, Heiko Wersing
Competence Guided Model for Casebase Maintenance
Ditty Mathew, Sutanu Chakraborti
The Many Benefits of Annotator Rationales for Relevance Judgments
Tyler McDonnell, Mucahid Kutlu, Tamer Elsayed, Matthew Lease
Dynamical System-Based Motion Planning for Multi-Arm Systems: Reaching for Moving Objects
Seyed Sina Mirrazavi Salehian, Nadia Figueroa, Aude Billard
KSP: A Resolution-based Prover for Multimodal K, Abridged Report
Cláudia Nalon, Ullrich Hustadt, Clare Dixon
nanoCoP: Natural Non-clausal Theorem Proving
Jens Otten
Grounding Abstract Spatial Concepts for Language Interaction with Robots
Rohan Paul, Jacob Arkin, Nicholas Roy, Thomas M. Howard
Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report
Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths
Evaluating Market User Interfaces for Electric Vehicle Charging using Bid2Charge
Sebastian Stein, Enrico H. Gerding, Adrian Nedea, Avi Rosenfeld, Nicholas R. Jennings
Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization
Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy
Value Iteration Networks
Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, Pieter Abbeel
I-dual: Solving Constrained SSPs via Heuristic Search in the Dual Space
Felipe Trevizan, Sylvie Thiebaux, Pedro Santana, Brian Williams
Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information
Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe

Journal track

Robust Multilingual Named Entity Recognition with Shallow Semi-supervised Features (Extended Abstract)
Rodrigo Agerri, German Rigau
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract)
Raffaella Bernardi, Ruket Cakici, Desmond Elliott, Aykut Erdem, Erkut Erdem, Nazli Ikizler-Cinbis, Frank Keller, Adrian Muscat, Barbara Plank
A New Semantics for Overriding in Description Logics (Extended Abstract)
Piero Bonatti, Marco Faella, Iliana M. Petrova, Luigi Sauro
On Minimum Representations of Matched Formulas (Extended Abstract)
Ondřej Čepek, Štefan Gurský, Petr Kučera
Efficient Mechanism Design for Online Scheduling (Extended Abstract)
Xujin Chen, Xiaodong Hu, Tie-Yan Liu, Weidong Ma, Tao Qin, Pingzhong Tang, Changjun Wang, Bo Zheng
Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract)
James Cussens, Matti Järvisalo, Janne H. Korhonen, Mark Bartlett
Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract)
Gert de Cooman, Jasper De Bock, Márcio Alves Diniz
The Ceteris Paribus Structure of Logics of Game Forms (Extended Abstract)
Davide Grossi, Emiliano Lorini, François Schwarzentruber
Computer Models Solving Intelligence Test Problems: Progress and Implications (Extended Abstract)
José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers, David Dowe
New Canonical Representations by Augmenting OBDDs with Conjunctive Decomposition (Extended Abstract)
Yong Lai, Dayou Liu, Minghao Yin
Automated Conjecturing I: Fajtlowicz's Dalmatian Heuristic Revisited (Extended Abstract)
Craig E. Larson, Nico Van Cleemput
On Redundant Topological Constraints (Extended Abstract)
Sanjiang Li, Zhiguo Long, Weiming Liu, Matt Duckham, Alan Both
AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract)
Marius Lindauer, Frank Hutter, Holger H. Hoos, Torsten Schaub
CCEHC: An Efficient Local Search Algorithm for Weighted Partial Maximum Satisfiability (Extended Abstract)
Chuan Luo, Shaowei Cai, Kaile Su, Wenxuan Huang
Approximate Value Iteration with Temporally Extended Actions (Extended Abstract)
Timothy A. Mann, Shie Mannor, Doina Precup
Relations Between Spatial Calculi About Directions and Orientations (Extended Abstract)
Till Mossakowski, Reinhard Moratz
Construction of System of Spheres-based Transitively Relational Partial Meet Multiple Contractions: An Impossibility Result (Extended Abstract)
Maurício D. L. Reis, Eduardo Fermé, Pavlos Peppas
News Across Languages - Cross-Lingual Document Similarity and Event Tracking (Extended Abstract)
Jan Rupnik, Andrej Muhič, Gregor Leban, Blaž Fortuna, Marko Grobelnik
Generating Models of a Matched Formula With a Polynomial Delay (Extended Abstract)
Petr Savický, Petr Kučera
Evaluating Epistemic Negation in Answer Set Programming (Extended Abstract)
Yi-Dong Shen, Thomas Eiter
Some Properties of Batch Value of Information in the Selection Problem (Extended Abstract)
Shahaf S. Shperberg, Solomon Eyal Shimony
On the Expressivity of Inconsistency Measures (Extended Abstract)
Matthias Thimm
A generic approach to planning in the presence of incomplete information: Theory and implementation (Extended Abstract)
Son Thanh To, Tran Cao Son, Enrico Pontelli
Robots in Retirement Homes: Applying Off-the-Shelf Planning and Scheduling to a Team of Assistive Robots (Extended Abstract)
Tony T. Tran, Tiago Vaquero, Goldie Nejat, J. Christopher Beck
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract)
Stefano V. Albrecht, Subramanian Ramamoorthy
Local Search for Minimum Weight Dominating Set with Two-Level Configuration Checking and Frequency Based Scoring Function (Extended Abstract)
Yiyuan Wang, Shaowei Cai, Minghao Yin
Text Rewriting Improves Semantic Role Labeling (Extended Abstract)
Kristian Woodsend, Mirella Lapata
POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations (Extended Abstract)
Farhad Zafari, Faria Nassiri-Mofakham

Early Career

Robotic Strategic Behavior in Adversarial Environments
Noa Agmon
Game Theoretic Analysis of Security and Sustainability
Bo An
Logic meets Probability: Towards Explainable AI Systems for Uncertain Worlds
Vaishak Belle
Committee Scoring Rules: A Call to Arms
Piotr Faliszewski
Learning from Data Heterogeneity: Algorithms and Applications
Jingrui He
Knowledge Engineering for Intelligent Decision Support
María Vanina Martínez
Multimodal News Article Analysis
Arnau Ramisa
Towards Certified Unsolvability in Classical Planning
Gabriele Röger
Reinforcement mechanism design
Pingzhong Tang
Unsupervised Learning via Total Correlation Explanation
Greg Ver Steeg
Improving Group Decision-Making by Artificial Intelligence
Lirong Xia
Securing and scaling cryptocurrencies
Aviv Zohar

Doctoral Consortium

A Framework for Long-Term Learning Systems
Diana Benavides-Prado
Learning Multi-faceted Knowledge Graph Embeddings for Natural Language Processing
Muhao Chen, Carlo Zaniolo
Understanding and Measuring Collective Intelligence Across Different Cognitive Systems: An Information-Theoretic Approach
Nader Chmait
Online Algorithm Selection
Hans Degroote
SAT-Based Approaches for the General High School Timetabling Problem
Emir Demirović
Constructive Recommendation
Paolo Dragone
Efficient Algorithms And Representations For Chance-constrained Mixed Constraint Programming
Cheng Fang
On the Complexity and Expressiveness of Automated Planning Languages Supporting Temporal Reasoning
Nicola Gigante
Stochastic Constraint Programming
David Hemmi
Machine Learning Techniques for MultiAgent Systems
Yoad Lewenberg
Resilient Control and Safety for Multi-Agent Cyber-Physical Systems
Anna Lukina
Human-Like Agents for Repeated Negotiation
Johnathan Mell
Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games
Dave Mobley
Probabilistic Inference in Hybrid Domains
Paolo Morettin
Curriculum Learning in Reinforcement Learning
Sanmit Narvekar
Nonparametric Online Machine Learning with Kernels
Khanh Nguyen
Operationalizing Operational Logics: Semiotic Knowledge Representations for Interactive Systems
Joseph C. Osborn
Teaching Robots through Situated Interactive Dialogue and Visual Demonstrations
Jose L. Part, Oliver Lemon
AToM: An Analogical Theory of Mind
Irina Rabkina
Modeling Bias Reduction Strategies in a Biased Agent
Jaelle Scheuerman, Dina Acklin
Fuzzy Logic Model for Digital Forensics: A Trade-off between Accuracy, Complexity and Interpretability
Andrii Shalaginov
Using Multiagents for Context-Aware Adaptive Biometrics
Fatina Shukur
The Role of Textualisation and Argumentation in Understanding the Machine Learning Process
Kacper Sokol, Peter Flach
Search Strategies as Synchronous Processes (Extended Abstract)
Pierre Talbot
Towards Trust, Transparency and Liability in AI / AS systems
Eva Thelisson
Deep Abnormality Detection in Video Data
Hung Vu
Searching for Well-Behaved Fragments of Halpern-Shoham Logic
Przemysław Andrzej Wałęga
Towards A Relational Approach For Tool Creation By Robots
Handy Wicaksono
Refinement of Intentions
Zhanhao Xiao


Libratus: The Superhuman AI for No-Limit Poker
Noam Brown, Tuomas Sandholm
DISA: A Scientific Writing Advisor with Deep Information Structure Analysis
Hen-Hsen Huang, Hsin-Hsi Chen
Omniscient Debugging for GOAL Agents in Eclipse (Demonstration)
Vincent J. Koeman, Koen V. Hindriks, Catholijn M. Jonker
A Goal-Oriented Meaning-based Statistical Multi-Step Math Word Problem Solver with Understanding, Reasoning and Explanation
Chao-Chun Liang, Yu-Shiang Wong, Yi-Chung Lin, Keh-Yih Su
Automated Planning for Urban Traffic Management
Thomas L. McCluskey, Mauro Vallati, Santiago Franco
Speech-based Medical Decision Support in VR using a Deep Neural Network (Demonstration)
Alexander Prange, Michael Barz, Daniel Sonntag
Real--Time UAV Maneuvering via Automated Planning in Simulations
Miquel Ramírez, Michael Papasimeon, Lyndon Behnke, Nir Lipovetzky, Tim Miller, Adrian R. Pearce
Limbo: A Reasoning System for Limited Belief
Christoph Schwering
Emergency Evacuation Simulator (EES) - a Tool for Planning Community Evacuations in Australia
Dhirendra Singh, Lin Padgham
Become Popular in SNS: Tag Recommendation using FolkPopularityRank to Enhance Social Popularity
Toshihiko Yamasaki, Yiwei Zhang, Jiani Hu, Shumpei Sano, Kiyoharu Aizawa