IJCAI 2019

964 papers

Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology

Liang Yang, Zhiyang Chen, Junhua Gu, Yuanfang Guo

Topology Optimization based Graph Convolutional Network

Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang

Low-Bit Quantization for Attributed Network Representation Learning

Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang

Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method

Haoxuan Yang, Kai Liu, Hua Wang, Feiping Nie

Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks

Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui, Zhiyuan Liu

Zhe Xue, Junping Du, Dawei Du, Wenqi Ren, Siwei Lyu

Deep Spectral Kernel Learning

hui xue, Zheng-Fan Wu, Wei-Xiang Sun

Transfer of Temporal Logic Formulas in Reinforcement Learning

Zhe Xu, Ufuk Topcu

On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization

Yi Xu, Zhuoning Yuan, Sen Yang, Rong Jin, Tianbao Yang

Zero-shot Metric Learning

Xinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng

Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation

Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao, Ruiheng Zhang, Chuancai Liu

Latent Semantics Encoding for Label Distribution Learning

Suping Xu, Lin Shang, Furao Shen

Commit Message Generation for Source Code Changes

Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong

MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions

Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, Junzhou Zhao

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng

Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators

Han Xu, Pengwei Liang, Wei Yu, Junjun Jiang, Jiayi Ma

Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs

Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang

Graph Contextualized Self-Attention Network for Session-based Recommendation

Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu

Adversarial Incomplete Multi-view Clustering

Cai Xu, Ziyu Guan, Wei Zhao, Hongchang Wu, Yunfei Niu

CFM: Convolutional Factorization Machines for Context-Aware Recommendation

Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding

Reparameterizable Subset Sampling via Continuous Relaxations

Sang Michael Xie, Stefano Ermon

Incremental Few-Shot Learning for Pedestrian Attribute Recognition

Liuyu Xiang, Xiaoming Jin, guiguang ding, Jungong Han, Leida Li

BPAM: Recommendation Based on BP Neural Network with Attention Mechanism

Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai

Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference

Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen

Trend-Aware Tensor Factorization for Job Skill Demand Analysis

Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen

Multi-View Multi-Label Learning with View-Specific Information Extraction

Xuan Wu, Qing-Guo Chen, Yao Hu, Dengbao Wang, Xiaodong Chang

Feature Evolution Based Multi-Task Learning for Collaborative Filtering with Social Trust

Qitian Wu, Lei Jiang, Xiaofeng Gao, Xiaochun Yang, Guihai Chen

PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation

Qiong Wu, Yong Liu, Chunyan Miao, Binqiang Zhao, Yin Zhao

Neural News Recommendation with Attentive Multi-View Learning

Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang

RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering

Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan

Bayesian Uncertainty Matching for Unsupervised Domain Adaptation

Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen

Learning for Tail Label Data: A Label-Specific Feature Approach

Tong Wei, Wei-Wei Tu, Yu-feng Li

Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking

Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams

Hierarchical Diffusion Attention Network

Zhitao Wang, Wenjie Li

Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations

Zhaodong Wang, Matthew E. Taylor

Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation

Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang

Weak Supervision Enhanced Generative Network for Question Generation

Yutong Wang, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao

Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks

Yun Wang, Lun Du, Guojie Song, Xiaojun Ma, Lichen Jin

Position Focused Attention Network for Image-Text Matching

Yaxiong Wang, Hao Yang, Xueming Qian, Lin Ma, Jing LU

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning

Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He

Multi-view Clustering via Late Fusion Alignment Maximization

Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu

Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks

Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet Orgun

Heterogeneous Graph Matching Networks for Unknown Malware Detection

Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni

Partial Label Learning with Unlabeled Data

Qian-Wei Wang, Yu-feng Li, Zhi-Hua Zhou

MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting

Ning Wang, Jingyuan Li, Lefei Zhang, Bo Du

Differentially Private Iterative Gradient Hard Thresholding for Sparse Learning

Lingxiao Wang, Quanquan Gu

Discrete Binary Coding based Label Distribution Learning

Ke Wang, Xin Geng

Deep Cascade Generation on Point Sets

Kaiqi Wang, Ke Chen, Kui Jia

Attributed Subspace Clustering

Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang

Classification with Label Distribution Learning

Jing Wang, Xin Geng

CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets

Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Hongwei Zhu

DMRAN:A Hierarchical Fine-Grained Attention-Based Network for Recommendation

Huizhao Wang, Guanfeng Liu, An Liu, Zhixu Li, Kai Zheng

Discriminative and Correlative Partial Multi-Label Learning

Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu

Measuring Structural Similarities in Finite MDPs

Hao Wang, Shaokang Dong, Ling Shao

Spectral Perturbation Meets Incomplete Multi-view Data

Hao Wang, Linlin Zong, Bing Liu, yan yang, Wei Zhou

Attributed Graph Clustering: A Deep Attentional Embedding Approach

Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang

Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach

Bin Wang, Guojun Qi, Sheng Tang, Tianzhu Zhang, Yunchao Wei

Recurrent Existence Determination Through Policy Optimization

Baoxiang Wang

Planning with Expectation Models

Yi Wan, Muhammad Zaheer, Adam White, Martha White, Richard S. Sutton

Sharing Experience in Multitask Reinforcement Learning

Tung-Long Vuong, Do-Van Nguyen, Tai-Long Nguyen, Cong-Minh Bui, Hai-Dang Kieu

Interpolation Consistency Training for Semi-supervised Learning

Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-paz

DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment Analysis

Sunny Verma, Chen Wang, Liming Zhu, Wei Liu

Learning to Interpret Satellite Images using Wikipedia

Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke

Ensemble-based Ultrahigh-dimensional Variable Screening

Wei Tu, Dong Yang, Linglong Kong, Menglu Che, Qian Shi

Object Detection based Deep Unsupervised Hashing

Rong-Cheng Tu, Xian-Ling Mao, Bo-Si Feng, Shu-ying Yu

Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning

Evgenii Tsymbalov, Sergei Makarychev, Alexander Shapeev, Maxim Panov

Exchangeability and Kernel Invariance in Trained MLPs

Russell Tsuchida, Fred Roosta, Marcus Gallagher

Imitation Learning from Video by Leveraging Proprioception

Faraz Torabi, Garrett Warnell, Peter Stone

Image Captioning with Compositional Neural Module Networks

Junjiao Tian, Jean Oh

Hierarchical Inter-Attention Network for Document Classification with Multi-Task Learning

Bing Tian, Yong Zhang, Jin Wang, Chunxiao Xing

Adversarial Graph Embedding for Ensemble Clustering

Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu

AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation

Philip Tannor, Lior Rokach

Deeply-learned Hybrid Representations for Facial Age Estimation

Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li

HMLasso: Lasso with High Missing Rate

Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa

Metric Learning on Healthcare Data with Incomplete Modalities

Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding

Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant Honavar

Heavy-ball Algorithms Always Escape Saddle Points

Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li

Adversarial Imitation Learning from Incomplete Demonstrations

Mingfei Sun, Xiaojuan Ma

Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning

Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka

Fast and Robust Multi-View Multi-Task Learning via Group Sparsity

Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka

Finding Statistically Significant Interactions between Continuous Features

Mahito Sugiyama, Karsten Borgwardt

Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators

Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael Lyu

Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning

Shihong Song, Jiayi Weng, Hang Su, Dong Yan, Haosheng Zou

Solving Continual Combinatorial Selection via Deep Reinforcement Learning

Hyungseok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son

Play and Prune: Adaptive Filter Pruning for Deep Model Compression

Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri

Structure Learning for Safe Policy Improvement

Thiago D. Simão, Matthijs T. J. Spaan

A Principled Approach for Learning Task Similarity in Multitask Learning

Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné

The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning

Bonggun Shin, Hao Yang, Jinho D. Choi

Gradient Boosting with Piece-Wise Linear Regression Trees

Yu Shi, Jian Li, Zhize Li

Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning

Wenjie Shi, Shiji Song, Cheng Wu

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization

Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang

A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification

Shaohuai Shi, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, Xiaowen Chu

Rapid Performance Gain through Active Model Reuse

Feng Shi, Yu-feng Li

A Part Power Set Model for Scale-Free Person Retrieval

Yunhang Shen, Rongrong Ji, Xiaopeng Hong, Feng Zheng, Xiaowei Guo

On the Effectiveness of Low Frequency Perturbations

Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker

Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion

Junming Shao, Zhong Zhang, Zhongjing Yu, Jun Wang, Yi Zhao

Weakly Supervised Multi-task Learning for Semantic Parsing

Bo Shao, Yeyun Gong, Junwei Bao, Jianshu Ji, Guihong Cao

SynthNet: Learning to Synthesize Music End-to-End

Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey

Deterministic Routing between Layout Abstractions for Multi-Scale Classification of Visually Rich Documents

Ritesh Sarkhel, Arnab Nandi

A Degeneracy Framework for Scalable Graph Autoencoders

Guillaume Salha, Romain Hennequin, Viet Anh Tran, Michalis Vazirgiannis