IJCAI 2016

651 papers

Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy

ℓ

Linear-Time Outlier Detection via Sensitivity

Mario Lucic, Olivier Bachem, Andreas Krause

Natural Supervised Hashing

Qi Liu, Hongtao Lu

Transductive Optimization of Top

Aligning Users across Social Networks Using Network Embedding

Li Liu, William K. Cheung, Xin Li, Lejian Liao

Supervised Matrix Factorization for Cross-Modality Hashing

Hong Liu, Rongrong Ji, Yongjian Wu, Gang Hua

Efficient

Towards Convolutional Neural Networks Compression via Global Error Reconstruction

Shaohui Lin, Rongrong Ji, Xiaowei Guo, Xuelong Li

Learning to Detect Concepts from Webly-Labeled Video Data

Junwei Liang, Lu Jiang, Deyu Meng, Alexander Hauptmann

Group-Invariant Cross-Modal Subspace Learning

Jian Liang, Ran He, Zhenan Sun, Tieniu Tan

Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback

Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie, Hui Xiong

Graph Quality Judgement: A Large Margin Expedition

Yu-feng Li, Shao-Bo Wang, Zhi-Hua Zhou

Multi-View Learning with Limited and Noisy Tagging

Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang

Feature Learning Based Deep Supervised Hashing with Pairwise Labels

Wu-jun Li, Sheng wang, Wang-Cheng Kang

Multiple Kernel Clustering with Local Kernel Alignment Maximization

Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin

Joint Feature Selection and Structure Preservation for Domain Adaptation

Jingjing Li, Jidong Zhao, Ke Lu

Adversarial Sequence Tagging

Jia Li, Kaiser Asif, Hong Wang, Brian D. Ziebart, Tanya Berger-Wolf

A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback

Huayu Li, Richang Hong, Defu Lian, Zhiang Wu, Meng Wang

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

Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi

Dual-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors

Sang-Woo Lee, Chung-Yeon Lee, Dong Hyun Kwak, Jiwon Kim, Jeonghee Kim

Learning Multi-Step Predictive State Representations

Lucas Langer, Borja Balle, Doina Precup

Bounds for Learning from Evolutionary-Related Data in the Realizable Case

Ondrej Kuzelka, Yuyi Wang, Jan Ramon

Constructing Abstraction Hierarchies Using a Skill-Symbol Loop

George Konidaris

On Structural Properties of MDPs that Bound Loss Due to Shallow Planning

Nan Jiang, Satinder Singh, Ambuj Tewari

Robust Out-of-Sample Data Recovery

Bo Jiang, Chris Ding, Bin Luo

Multi-Label Informed Feature Selection

Ling Jian, Jundong Li, Kai Shu, Huan Liu

Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning

David Isele, Mohammad Rostami, Eric Eaton

Change Detection Using Directional Statistics

Tsuyoshi Ide, Dzung T. Phan, Jayant Kalagnanam

Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code

Xuan Huo, Ming Li, Zhi-Hua Zhou

Learning Stable Linear Dynamical Systems with the Weighted Least Square Method

Wenbing Huang, Lele Cao, Fuchun Sun, Deli Zhao, Huaping Liu

Transfer Learning with Active Queries from Source Domain

Sheng-jun Huang, Songcan Chen

Class-Wise Supervised Hashing with Label Embedding and Active Bits

Long-Kai Huang, Sinno Jialin Pan

Grounding Topic Models with Knowledge Bases

Zhiting Hu, Gang Luo, Mrinmaya Sachan, Eric Xing, Zaiqing Nie

Bayesian Reinforcement Learning with Behavioral Feedback

Teakgyu Hong, Jongmin Lee, Kee-eung Kim, Pedro A. Ortega, Daniel Lee

Tight Policy Regret Bounds for Improving and Decaying Bandits

Hoda Heidari, Michael Kearns, Aaron Roth

Online Bayesian Max-Margin Subspace Multi-View Learning

Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He

Partially Supervised Graph Embedding for Positive Unlabelled Feature Selection

Yufei Han, Yun Shen

Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition

Tao Han, Hailong Sun, Yangqiu Song, Yili Fang, Xudong Liu

Deep, Convolutional, and Recurrent Models for Human Activity Recognition Using Wearables

Nils Y. Hammerla, Shane Halloran, Thomas Plötz

Semi-Supervised Active Learning with Cross-Class Sample Transfer

Yuchen Guo, guiguang ding, Yue Gao, Jianmin Wang

Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games

Xiaoxiao Guo, Satinder Singh, Richard Lewis, Honglak Lee

A Distributed and Scalable Machine Learning Approach for Big Data

Hongliang Guo, Jie Zhang

Incremental Truncated LSTD

Clement Gehring, Yangchen Pan, Martha White

Knowledge-Based Sequence Mining with ASP

Martin Gebser, Thomas Guyet, René Quiniou, Javier Romero, Torsten Schaub

Constrained Local Latent Variable Discovery

Tian Gao, Qiang Ji

Semi-Data-Driven Network Coarsening

Li Gao, Jia Wu, Hong Yang, Zhi Qiao, Chuan Zhou

A Robust Convex Formulation for Ensemble Clustering

Junning Gao, Makoto Yamada, Samuel Kaski, Hiroshi Mamitsuka, Shanfeng Zhu

DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks

Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua

Copula Mixed-Membership Stochastic Blockmodel

Xuhui Fan, Richard Yi Da Xu, Longbing Cao

Robust Domain Generalisation by Enforcing Distribution Invariance

Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie

Version Space Reduction Based on Ensembles of Dissimilar Balanced Perceptrons

Karen Braga Enes, Saulo Moraes Villela, Raul Fonseca Neto

EBEK: Exemplar-Based Kernel Preserving Embedding

Ahmed Elbagoury, Rania Ibrahim, Mohamed S. Kamel, Fakhri Karray

Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations

Finale Doshi-velez, George Konidaris

A Unifying Framework for Learning Bag Labels from Generalized Multiple-Instance Data

Gary Doran, Andrew Latham, Soumya Ray

Learning Higher-Order Logic Programs through Abstraction and Invention

Andrew Cropper, Stephen H. Muggleton

Cost-Aware Pre-Training for Multiclass Cost-Sensitive Deep Learning

Yu-An Chung, Hsuan-tien Lin, Shao-Wen Yang

ADL™: A Topic Model for Discovery of Activities of Daily Living in a Smart Home

Yu Chen, Tom Diethe, Peter Flach

Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events

Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang

A Generalized Matching Pursuit Approach for Graph-Structured Sparsity

Feng Chen, Baojian Zhou

Mixture Probabilistic Matrix Approximation for Collaborative Filtering

MPMA:

Cold-Start Recommendations for Audio News Stories Using Matrix Factorization

Ehsan Mohammady Ardehaly, Aron Culotta, Vivek Sundararaman, Alwar Narayanan

Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss

Cesare Alippi, Giacomo Boracchi, Diego Carrera, Manuel Roveri

The Complexity of Learning Acyclic CP-Nets

Eisa Alanazi, Malek Mouhoub, Sandra Zilles

Driver Frustration Detection from Audio and Video in the Wild

Irman Abdić, Lex Fridman, Daniel McDuff, Erik Marchi, Bryan Reimer

Forgetting Concept and Role Symbols in

ALCOIHμ

A Characterization of the Semantics of Logic Programs with Aggregates

Yuanlin Zhang, Maede Rayatidamavandi

Expressive Completeness of Existential Rule Languages for Ontology-Based Query Answering

Heng Zhang, Yan Zhang, Jia-Huai You

Strategy Representation and Reasoning for Incomplete Information Concurrent Games in the Situation Calculus

Liping Xiong, Yongmei Liu

From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction

Han Xiao, Minlie Huang, Xiaoyan Zhu

Connecting Qualitative Spatial and Temporal Representations by Propositional Closure

Diedrich Wolter, Jae Hee Lee

On the Representation and Embedding of Knowledge Bases beyond Binary Relations

Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang

Text-Enhanced Representation Learning for Knowledge Graph

Zhigang Wang, Juanzi Li

Distributed Autoepistemic Logic and its Application to Access Control

Pieter Van Hertum, Marcos Cramer, Bart Bogaerts, Marc Denecker

Efficient Query Answering over Expressive Inconsistent Description Logics

Eleni Tsalapati, Giorgos Stoilos, Giorgos Stamou, George Koletsos

Sampling-Based Belief Revision

Michael Thielscher

Diagnosability of Discrete-Event Systems with Uncertain Observations

Xingyu Su, Marina Zanella, Alban Grastien

Object-Relational Queries over CFDI

Jason St. Jacques, David Toman, Grant Weddell

Efficient Sequential Model-Based Fault-Localization with Partial Diagnoses

Kostyantyn Shchekotykhin, Thomas Schmitz, Dietmar Jannach

Normative Practical Reasoning via Argumentation and Dialogue

Zohreh Shams, Marina De Vos, Nir Oren, Julian Padget

Is Promoting Beliefs Useful to Make Them Accepted in Networks of Agents?

Nicolas Schwind, Katsumi Inoue, Gauvain Bourgne, Sébastien Konieczny, Pierre Marquis

Expressivity of Datalog Variants — Completing the Picture

Sebastian Rudolph, Michaël Thomazo

Efficient Representations for the Modal Logic S5

Alexandre Niveau, Bruno Zanuttini

Optimal Status Enforcement in Abstract Argumentation

Andreas Niskanen, Johannes P. Wallner, Matti Järvisalo

Belief Update for Proper Epistemic Knowledge Bases

Tim Miller, Christian Muise

Efficient Path Consistency Algorithm for Large Qualitative Constraint Networks

Zhiguo Long, Michael Sioutis, Sanjiang Li

A Decision Procedure for a Fragment of Linear Time Mu-Calculus

Yao Liu, Zhenhua Duan, Cong Tian

Exploring the Context of Locations for Personalized Location Recommendations

Xin Liu, Yong Liu, Xiaoli Li

Constraint Answer Set Programming versus Satisfiability Modulo Theories

Yuliya Lierler, Benjamin Susman

Answering Metaqueries over Hi (OWL 2 QL) Ontologies

Maurizio Lenzerini, Lorenzo Lepore, Antonella Poggi

Learning Possibilistic Logic Theories from Default Rules

Ondrej Kuzelka, Jesse Davis, Steven Schockaert

Temporal and Spatial OBDA with Many-Dimensional Halpern-Shoham Logic

Roman Kontchakov, Laura Pandolfo, Luca Pulina, Vladislav Ryzhikov, Michael Zakharyaschev

Conservative Rewritability of Description Logic TBoxes

Boris Konev, Carsten Lutz, Frank Wolter, Michael Zakharyaschev

Question Answering via Integer Programming over Semi-Structured Knowledge

Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter Clark, Oren Etzioni

Epistemic GDL: A Logic for Representing and Reasoning about Imperfect Information Games

Guifei Jiang, Dongmo Zhang, Laurent Perrussel, Heng Zhang

Eliminating Disjunctions in Answer Set Programming by Restricted Unfolding

Jianmin Ji, Hai Wan, Kewen Wang, Zhe Wang, Chuhan Zhang

Normative Multiagent Systems: The

Dynamic

Epistemic Boolean Games Based on a Logic of Visibility and Control

Andreas Herzig, Emiliano Lorini, Faustine Maffre, François Schwarzentruber

Distributing Knowledge into Simple Bases

Adrian Haret, Jean-Guy Mailly, Stefan Woltran

Temporalized

On Consensus Extraction

Éric Grégoire, Sébastien Konieczny, Jean Marie Lagniez