IJCAI 2017

781 papers

Multi-Instance Learning with Key Instance Shift

Ya-Lin Zhang, Zhi-Hua Zhou

Robust Regression via Heuristic Hard Thresholding

Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu

Global-residual and Local-boundary Refinement Networks for Rectifying Scene Parsing Predictions

Rui Zhang, Sheng Tang, Min Lin, Jintao Li, Shuicheng Yan

Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network

Qi Zhang, Jiawen Wang, Haoran Huang, Xuanjing Huang, Yeyun Gong

DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework

Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu

Adaptively Unified Semi-supervised Learning for Cross-Modal Retrieval

Liang Zhang, Bingpeng MA, Jianfeng He, Guorong Li, Qingming Huang

Adaptive Manifold Regularized Matrix Factorization for Data Clustering

Lefei Zhang, Qian Zhang, Bo Du, Jane You, Dacheng Tao

ME-MD: An Effective Framework for Neural Machine Translation with Multiple Encoders and Decoders

Jinchao Zhang, Qun Liu, Jie Zhou

A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning

Honglun Zhang, Liqiang Xiao, Yongkun Wang, Yaohui Jin

User Profile Preserving Social Network Embedding

Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang

Deep-dense Conditional Random Fields for Object Co-segmentation

Zehuan Yuan, Tong Lu, Yirui Wu

Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization

Yue Yu, Longbo Huang

Open Category Classification by Adversarial Sample Generation

Yang Yu, Wei-Yang Qu, Nan Li, Zimin Guo

Single-Pass PCA of Large High-Dimensional Data

Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li

Link Prediction with Spatial and Temporal Consistency in Dynamic Networks

Wenchao Yu, Wei Cheng, Charu C Aggarwal, Haifeng Chen, Wei Wang

Privileged Multi-label Learning

Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao

Learning Co-Substructures by Kernel Dependence Maximization

Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui

A Deep Neural Network for Chinese Zero Pronoun Resolution

Qingyu Yin, Weinan Zhang, Yu Zhang, Ting Liu

Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps

Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang

Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems

Quanming Yao, James T. Kwok, Fei Gao, Wei Chen, Tie-yan Liu

Multi-Task Deep Reinforcement Learning for Continuous Action Control

Zhaoyang Yang, Kathryn Merrick, Hussein Abbass, LianWen Jin

A Robust Noise Resistant Algorithm for POI Identification from Flickr Data

Yiyang Yang, Zhiguo Gong, Qing Li, Leong Hou U, Ruichu Cai

Modal Consistency based Pre-Trained Multi-Model Reuse

Yang Yang, De-Chuan Zhan, Xiang-Yu Guo, Yuan Jiang

Learning to Read Irregular Text with Attention Mechanisms

Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, C. Lee Giles

Positive unlabeled learning via wrapper-based adaptive sampling

Pengyi Yang, Wei Liu, Jean Yang

Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network

Jufeng Yang, Dongyu She, Ming Sun

Life-Stage Modeling by Customer-Manifold Embedding

Jing-Wen Yang, Yang Yu, Xiao-Peng Zhang

Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation

Yuguang Yan, Wen Li, Michael Ng, Mingkui Tan, Hanrui Wu

Predicting Human Interaction via Relative Attention Model

Yichao Yan, Bingbing Ni, Xiaokang Yang

Semi-Supervised Deep Hashing with a Bipartite Graph

Xinyu Yan, Lijun Zhang, Wu-jun Li

Toshihiko Yamasaki, Jiani Hu, Shumpei Sano, Kiyoharu Aizawa

When Does Label Propagation Fail? A View from a Network Generative Model

Yuto Yamaguchi, Kohei Hayashi

Tensor Decomposition with Missing Indices

Yuto Yamaguchi, Kohei Hayashi

Multiple Indefinite Kernel Learning for Feature Selection

hui xue, Yu Song, Hai-Ming Xu

Deep Matrix Factorization Models for Recommender Systems

Hong-Jian Xue, Xinyu Dai, Jianbing Zhang, Shujian Huang, Jiajun Chen

Tag-Aware Personalized Recommendation Using a Hybrid Deep Model

Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng

Stochastic Online Anomaly Analysis for Streaming Time Series

Zhao Xu, Kristian Kersting, Lorenzo von Ritter

Multi-Positive and Unlabeled Learning

Yixing Xu, Chang Xu, Chao Xu, Dacheng Tao

Incomplete Label Distribution Learning

Miao Xu, Zhi-Hua Zhou

Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines

Jinglin Xu, Feiping Nie, Junwei Han

Multi-view Feature Learning with Discriminative Regularization

Jinglin Xu, Junwei Han, Feiping Nie

Multi-Class Support Vector Machine via Maximizing Multi-Class Margins

Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie

Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction

Kai Xiong, Feiping Nie, Junwei Han

Image-embodied Knowledge Representation Learning

Ruobing Xie, Zhiyuan Liu, Huanbo Luan, Maosong Sun

Dynamic Multi-View Hashing for Online Image Retrieval

Liang Xie, Jialie Shen, Jungong Han, LEI ZHU, Ling Shao

SVD-free Convex-Concave Approaches for Nuclear Norm Regularization

Yichi Xiao, Zhe Li, Tianbao Yang, Lijun Zhang

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu

Dual Inference for Machine Learning

Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu, Tie-yan Liu

Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs

Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Bo Li

Sequence Prediction with Unlabeled Data by Reward Function Learning

Lijun Wu, Li Zhao, Tao Qin, Jianhuang Lai, Tie-yan Liu

Deep Context: A Neural Language Model for Large-scale Networked Documents

Hao Wu, Kristina Lerman

Modeling Trajectories with Recurrent Neural Networks

Hao Wu, Ziyang Chen, Weiwei Sun, Baihua Zheng, Wei Wang

Unsupervised Deep Video Hashing with Balanced Rotation

Gengshen Wu, Li Liu, Yuchen Guo, guiguang ding, Jungong Han

Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set Based Classification

Fei Wu, Xiao-Yuan Jing, Wangmeng Zuo, Ruiping Wang, Xiaoke Zhu

Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks

Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Qiushi Huang, Jintao Li

Learning from Demonstrations with High-Level Side Information

Min Wen, Ivan Papusha, Ufuk Topcu

Deep Descriptor Transforming for Image Co-Localization

Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu

Group-wise Deep Co-saliency Detection

Lina Wei, Shanshan Zhao, Omar El Farouk Bourahla, Xi Li, Fei Wu

Supervised Deep Features for Software Functional Clone Detection by Exploiting Lexical and Syntactical Information in Source Code

Huihui Wei, Ming Li

Improving Reinforcement Learning with Confidence-Based Demonstrations

Zhaodong Wang, Matthew E. Taylor

Doubly Sparsifying Network

Zhangyang Wang, Shuai Huang, Jiayu Zhou, Thomas S. Huang

On Gleaning Knowledge from Multiple Domains for Active Learning

Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Ruimin Hu

Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network

Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li

Multiple Kernel Clustering Framework with Improved Kernels

Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li

Fast Change Point Detection on Dynamic Social Networks

Yu Wang, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy

Cascade Dynamics Modeling with Attention-based Recurrent Neural Network

Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng

App Download Forecasting: An Evolutionary Hierarchical Competition Approach

Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Chuan Qin, Xing Xie

Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization

Yangtao Wang, Lihui Chen, Xiao-Li Li

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

Interactive Image Segmentation via Pairwise Likelihood Learning

Tao Wang, Quansen Sun, Qi Ge, Zexuan Ji, Qiang Chen

A Sequence Labeling Convolutional Network and Its Application to Handwritten String Recognition

Qingqing Wang, Yue Lu

Instance-Level Label Propagation with Multi-Instance Learning

Qifan Wang, Gal Chechik, Chen Sun, Bin Shen

Angle Principal Component Analysis

Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie

Convolutional 2D LDA for Nonlinear Dimensionality Reduction

Qi Wang, Zequn Qin, Feiping Nie, Yuan Yuan

Multi-Component Nonnegative Matrix Factorization

Jing Wang, Feng Tian, Xiao Wang, Hongchuan Yu, Chang Hong Liu

Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification

Jin Wang, Zhongyuan Wang, Dawei Zhang, Jun Yan

Active Learning for Black-Box Semantic Role Labeling with Neural Factors

Chenguang Wang, Laura Chiticariu, Yunyao Li

Tag Disentangled Generative Adversarial Network for Object Image Re-rendering

Chaoyue Wang, Chaohui Wang, Chang Xu, Dacheng Tao

Locality Preserving Projections for Grassmann manifold

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen

Sifting Common Information from Many Variables

Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan

Scaling Active Search using Linear Similarity Functions

Sibi Venkatesan, James K. Miller, Jeff Schneider, Artur Dubrawski

COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints

Toon Van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel

TransNet: Translation-Based Network Representation Learning for Social Relation Extraction

Cunchao Tu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun

Disambiguating Energy Disaggregation: A Collective Probabilistic Approach

Sabina Tomkins, Jay Pujara, Lise Getoor

Retaining Data from Streams of Social Platforms with Minimal Regret

Nguyen Thanh Tam, Matthias Weidlich, Duong Chi Thang, Hongzhi Yin, Nguyen Quoc Viet Hung

From Ensemble Clustering to Multi-View Clustering

Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu

Inverse Covariance Estimation with Structured Groups

Shaozhe Tao, Yifan Sun, Daniel Boley

Robust Survey Aggregation with Student-t Distribution and Sparse Representation

Qingtao Tang, Tao Dai, Li Niu, Yisen Wang, Shu-Tao Xia

Student-t Process Regression with Student-t Likelihood

Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An

Bayesian Dynamic Mode Decomposition

Naoya Takeishi, Yoshinobu Kawahara, Yasuo Tabei, Takehisa Yairi

MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation

Zhu Sun, jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen

CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis

Adam Summerville, Joseph Osborn, Michael Mateas

Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces

Yanan Sui, Joel W. Burdick

Deep Supervised Hashing with Nonlinear Projections

Sen Su, Gang Chen, Xiang Cheng, Rong Bi

Vertex-Weighted Hypergraph Learning for Multi-View Object Classification

Lifan Su, Yue Gao, Xibin Zhao, Hai Wan, Ming Gu

Forecast the Plausible Paths in Crowd Scenes

Hang Su, Jun Zhu, Yinpeng Dong, Bo Zhang

End-to-end optimization of goal-driven and visually grounded dialogue systems

Florian Strub, Harm de Vries, Jeremie Mary, Bilal Piot, Aaron Courville

Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization

Ivan Stojkovic, Vladisav Jelisavcic, Veljko Milutinovic, Zoran Obradovic

Two dimensional Large Margin Nearest Neighbor for Matrix Classification

Kun Song, Feiping Nie, Junwei Han

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