IJCAI 2016

651 papers

Modifying MCTS for Human-Like General Video Game Playing

Ahmed Khalifa, Aaron Isaksen, Julian Togelius, Andy Nealen

Optimal Interdiction of Illegal Network Flow

Qingyu Guo, Bo An, Yair Zick, Chunyan Miao

A Collaborative Filtering Approach to Citywide Human Mobility Completion from Sparse Call Records

Zipei Fan, Ayumi Arai, Xuan Song, Apichon Witayangkurn, Hiroshi Kanasugi

Informed Expectations to Guide GDA Agents in Partially Observable Environments

Dustin Dannenhauer, Héctor Muñoz-Avila, Michael T. Cox

A Framework for Integrating Symbolic and Sub-Symbolic Representations

Keith Clark, Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Peter Robinson

Taking Up the Gaokao Challenge: An Information Retrieval Approach

Gong Cheng, Weixi Zhu, Ziwei Wang, Jianghui Chen, Yuzhong Qu

A SAT-Based Approach for Mining Association Rules

Abdelhamid Boudane, Said Jabbour, Lakhdar Sais, Yakoub Salhi

Managing Overstaying Electric Vehicles in Park-and-Charge Facilities

Arpita Biswas, Ragavendran Gopalakrishnan, Partha Dutta

Asymptotic Optimality of Myopic Optimization in Trial-Offer Markets with Social Influence

Andres Abeliuk, Gerardo Berbeglia, Felipe Maldonado, Pascal Van Hentenryck

Stochastic Multiresolution Persistent Homology Kernel

Xiaojin Zhu, Ara Vartanian, Manish Bansal, Duy Nguyen, Luke Brandl

A Self-Representation Induced Classifier

Pengfei Zhu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng, Qinghua Hu

Crowdsourcing via Tensor Augmentation and Completion

Yao Zhou, Jingrui He

Probabilistic Rank-One Matrix Analysis with Concurrent Regularization

Yang Zhou, Haiping Lu

Model-Based Deep Hand Pose Estimation

Xingyi Zhou, Qingfu Wan, Wei Zhang, Xiangyang Xue, Yichen Wei

Transfer Hashing with Privileged Information

Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin

Fast-and-Light Stochastic ADMM

Shuai Zheng, James T. Kwok

Learning Cross-View Binary Identities for Fast Person Re-Identification

Feng Zheng, Ling Shao

Incomplete Multi-Modal Visual Data Grouping

Handong Zhao, Hongfu Liu, Yun Fu

Predictive Collaborative Filtering with Side Information

Feipeng Zhao, Min Xiao, Yuhong Guo

Improving Top-N Recommendation with Heterogeneous Loss

Feipeng Zhao, Yuhong Guo

Denoising and Completion of 3D Data via Multidimensional Dictionary Learning

Zemin Zhang, Shuchin Aeron

Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks

Yizhe Zhang, Ricardo Henao, Chunyuan Li, Lawrence Carin

Self-Adapted Multi-Task Clustering

Xianchao Zhang, Xiaotong Zhang, Han Liu

Staleness-Aware Async-SGD for Distributed Deep Learning

Wei Zhang, Suyog Gupta, Xiangru Lian, Ji Liu

Improving DCNN Performance with Sparse Category-Selective Objective Function

Shizhou Zhang, Yihong Gong, Jinjun Wang

Large Scale Sparse Clustering

Ruqi Zhang, Zhiwu Lu

Collaborative Filtering with Generalized Laplacian Constraint via Overlapping Decomposition

Qing Zhang, Houfeng Wang

Unsupervised Feature Learning from Time Series

Qin Zhang, Jia Wu, Hong Yang, YingJie Tian, Chengqi Zhang

Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer

Yusen Zhan, Haitham Bou Ammar, Matthew E. Taylor

Neural Enquirer: Learning to Query Tables in Natural Language

Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao

Frequent Direction Algorithms for Approximate Matrix Multiplication with Applications in CCA

Qiaomin Ye, Luo Luo, Zhihua Zhang

Greedy Learning of Generalized Low-Rank Models

Quanming Yao, James T. Kwok

Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs

Zhilin Yang, Jie Tang, William Cohen

Learning by Actively Querying Strong Modal Features

Yang Yang, De-Chuan Zhan, Yuan Jiang

A Unified Framework for Discrete Spectral Clustering

Yang Yang, Fumin Shen, Zi Huang, Heng Tao Shen

Empirical Risk Minimization for Metric Learning Using Privileged Information

Xun Yang, Meng Wang, Luming Zhang, Dacheng Tao

Sparsity Conditional Energy Label Distribution Learning for Age Estimation

Xu Yang, Xin Geng, Deyu Zhou

Modularity Based Community Detection with Deep Learning

Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang

Unsupervised Human Action Categorization with Consensus Information Bottleneck Method

Xiaoqiang Yan, Yangdong Ye, Xueying Qiu

i, Poet: Automatic Poetry Composition through Recurrent Neural Networks with Iterative Polishing Schema

Rui Yan

Weight Features for Predicting Future Model Performance of Deep Neural Networks

Yasunori Yamada, Tetsuro Morimura

Robust and Sparse Fuzzy K-Means Clustering

Jinglin Xu, Junwei Han, Kai Xiong, Feiping Nie

Multi-View Exclusive Unsupervised Dimension Reduction for Video-Based Facial Expression Recognition

Liping Xie, Dacheng Tao, Haikun Wei

Budgeted Multi-Armed Bandits with Multiple Plays

Yingce Xia, Tao Qin, Weidong Ma, Nenghai Yu, Tie-yan Liu

Preference Inference through Rescaling Preference Learning

Nic Wilson, Mojtaba Montazery

Discriminatively Trained Recurrent Neural Networks for Continuous Dimensional Emotion Recognition from Audio

Felix Weninger, Fabien Ringeval, Erik Marchi, Björn Schuller

Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation

Pengfei Wei, Yiping Ke, Chi Keong Goh

To Project More or to Quantize More: Minimize Reconstruction Bias for Learning Compact Binary Codes

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

Learning A Deep

ℓ

Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness

Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu, Xingquan Zhu

Bayesian Optimization of Partition Layouts for Mondrian Processes

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

Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering

Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Meng Fang

Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems

Xuezhi Wang, Junier B. Oliva, Jeff Schneider, Barnabás Póczos

Constrained Preference Embedding for Item Recommendation

Xin Wang, Congfu Xu, Yunhui Guo, Hui Qian

Learning First-Order Logic Embeddings via Matrix Factorization

William Yang Wang, William W. Cohen

Coupled Marginalized Auto-Encoders for Cross-Domain Multi-View Learning

Shuyang Wang, Zhengming Ding, Yun Fu

Dealing with Multiple Classes in Online Class Imbalance Learning

Shuo Wang, Leandro L. Minku, Xin Yao

Cost-Saving Effect of Crowdsourcing Learning

Lu Wang, Zhi-Hua Zhou

Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering

De Wang, Feiping Nie, Heng Huang

Generalized Dictionary for Multitask Learning with Boosting

Boyu Wang, Joelle Pineau

Policy Search in Reproducing Kernel Hilbert Space

Ngo Anh Vien, Peter Englert, Marc Toussaint

Dynamic Early Stopping for Naive Bayes

Aäron Verachtert, Hendrik Blockeel, Jesse Davis

Inference Machines for Nonparametric Filter Learning

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

Constructive Preference Elicitation by Setwise Max-Margin Learning

Stefano Teso, Andrea Passerini, Paolo Viappiani

Learning Using Unselected Features (LUFe)

Joseph G. Taylor, Viktoriia Sharmanska, Kristian Kersting, David Weir, Novi Quadrianto

A Novel Feature Matching Strategy for Large Scale Image Retrieval

Hao Tang, Hong Liu

Learning Compact Neural Word Embeddings by Parameter Space Sharing

Jun Suzuki, Masaaki Nagata

Supervised Heterogeneous Domain Adaptation via Random Forests

Sanatan Sukhija, Narayanan C Krishnan, Gurkanwal Singh

Distance Based Modeling of Interactions in Structured Regression

Ivan Stojkovic, Vladisav Jelisavcic, Veljko Milutinovic, Zoran Obradovic

Unsupervised Alignment of Actions in Video with Text Descriptions

Young Chol Song, Iftekhar Naim, Abdullah Al Mamun, Kaustubh Kulkarni, Parag Singla

Fast Structural Binary Coding

Dongjin Song, Wei Liu, David A. Meyer

Distance-Preserving Probabilistic Embeddings with Side Information: Variational Bayesian Multidimensional Scaling Gaussian Process

Harold Soh

Improving CNN Performance with Min-Max Objective

Weiwei Shi, Yihong Gong, Jinjun Wang

Diversifying Convex Transductive Experimental Design for Active Learning

Lei Shi, Yi-Dong Shen

Adaptive Variance Reducing for Stochastic Gradient Descent

Zebang Shen, Hui Qian, Tengfei Zhou, Tongzhou Mu

Portfolio Blending via Thompson Sampling

Weiwei Shen, Jun Wang

Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models

Daniel P. Robinson, Suchi Saria

Dependency Clustering of Mixed Data with Gaussian Mixture Copulas

Vaibhav Rajan, Sakyajit Bhattacharya

Non-Negative Matrix Factorization with Sinkhorn Distance

Wei Qian, Bin Hong, Deng Cai, Xiaofei He, Xuelong Li

Bridging LSTM Architecture and the Neural Dynamics during Reading

Peng Qian, Xipeng Qiu, Xuanjing Huang

Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings

Hong Qian, Yi-Qi Hu, Yang Yu

Parallel Pareto Optimization for Subset Selection

Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou

Self-Paced Boost Learning for Classification

Te Pi, Xi Li, Zhongfei Zhang, Deyu Meng, Fei Wu

Deep Subspace Clustering with Sparsity Prior

Xi Peng, Shijie Xiao, Jiashi Feng, Wei-Yun Yau, Zhang Yi

Direct Sparsity Optimization Based Feature Selection for Multi-Class Classification

Hanyang Peng, Yong Fan

Fast Learning from Distributed Datasets without Entity Matching

Giorgio Patrini, Richard Nock, Stephen Hardy, Tiberio Caetano

Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings

Guansong Pang, Longbing Cao, Ling Chen

Tri-Party Deep Network Representation

Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Yang Wang

Gated Probabilistic Matrix Factorization: Learning Users’ Attention from Missing Values

Shohei Ohsawa, Yachiko Obara, Takayuki Osogami

Parameter-Free Auto-Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi-Supervised Classification

Feiping Nie, Jing Li, Xuelong Li

Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint

Feiping Nie, Heng Huang

Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models

Syed Abbas Z. Naqvi, Shandian Zhe, Yuan Qi, Yifan Yang, Jieping Ye

Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval

Yadong Mu, Wei Liu, Cheng Deng, Zongting Lv, Xinbo Gao

Asynchronous Accelerated Stochastic Gradient Descent

Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhi-ming Ma

Sum-Product-Max Networks for Tractable Decision Making

Mazen Melibari, Pascal Poupart, Prashant Doshi

Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination

Liang Mao, Shiliang Sun

Efficient Bayesian Clustering for Reinforcement Learning

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

Predict Anchor Links across Social Networks via an Embedding Approach

Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, Xueqi Cheng

Multi-Grained Role Labeling Based on Multi-Modality Information for Real Customer Service Telephone Conversation

Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma

On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning

Yong Luo, Yonggang Wen, Dacheng Tao