Papers
Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators
Han Xu, Pengwei Liang, Wei Yu et al.
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs
Dongkuan Xu, Wei Cheng, Dongsheng Luo et al.
Graph Contextualized Self-Attention Network for Session-based Recommendation
Chengfeng Xu, Pengpeng Zhao, Yanchi Liu et al.
Adversarial Incomplete Multi-view Clustering
Cai Xu, Ziyu Guan, Wei Zhao et al.
CFM: Convolutional Factorization Machines for Context-Aware Recommendation
Xin Xin, Bo Chen, Xiangnan He et al.
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 et al.
BPAM: Recommendation Based on BP Neural Network with Attention Mechanism
Wu-Dong Xi, Ling Huang, Chang-Dong Wang et al.
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference
Yongji Wu, Defu Lian, Shuowei Jin et al.
Trend-Aware Tensor Factorization for Job Skill Demand Analysis
Xunxian Wu, Tong Xu, Hengshu Zhu et al.
Multi-View Multi-Label Learning with View-Specific Information Extraction
Xuan Wu, Qing-Guo Chen, Yao Hu et al.
Feature Evolution Based Multi-Task Learning for Collaborative Filtering with Social Trust
Qitian Wu, Lei Jiang, Xiaofeng Gao et al.
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation
Qiong Wu, Yong Liu, Chunyan Miao et al.
Neural News Recommendation with Attentive Multi-View Learning
Chuhan Wu, Fangzhao Wu, Mingxiao An et al.
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering
Qingsong Wen, Jingkun Gao, Xiaomin Song et al.
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
Jun Wen, Nenggan Zheng, Junsong Yuan et al.
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 et al.
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 et al.
Weak Supervision Enhanced Generative Network for Question Generation
Yutong Wang, Jiyuan Zheng, Qijiong Liu et al.
Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks
Yun Wang, Lun Du, Guojie Song et al.
Position Focused Attention Network for Image-Text Matching
Yaxiong Wang, Hao Yang, Xueming Qian et al.
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning
Wenxiao Wang, Cong Fu, Jishun Guo et al.