Papers
Balanced Sparsity for Efficient DNN Inference on GPU
Zhuliang Yao, Shijie Cao, Wencong Xiao et al.
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
Huaxiu Yao, Xianfeng Tang, Hua Wei et al.
Learning Personalized Attribute Preference via Multi-Task AUC Optimization
Zhiyong Yang, Qianqian Xu, Xiaochun Cao et al.
Deep Robust Unsupervised Multi-Modal Network
Yang Yang, Yi-Feng Wu, De-Chuan Zhan et al.
Unsupervised Fake News Detection on Social Media: A Generative Approach
Shuo Yang, Kai Shu, Suhang Wang et al.
Confidence Weighted Multitask Learning
Peng Yang, Peilin Zhao, Jiayu Zhou et al.
Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students
Chenglin Yang, Lingxi Xie, Siyuan Qiao et al.
Weighted Oblique Decision Trees
Bin-Bin Yang, Song-Qing Shen, Wei Gao
Cross-Domain Visual Representations via Unsupervised Graph Alignment
Baoyao Yang, Pong C. Yuen
Oversampling for Imbalanced Data via Optimal Transport
Yuguang Yan, Mingkui Tan, Yanwu Xu et al.
Frame and Feature-Context Video Super-Resolution
Bo Yan, Chuming Lin, Weimin Tan
Active Learning of Multi-Class Classification Models from Ordered Class Sets
Yanbing Xue, Milos Hauskrecht
Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation
Yonghao Xu, Bo Du, Lefei Zhang et al.
Task-Driven Common Representation Learning via Bridge Neural Network
Yao Xu, Xueshuang Xiang, Meiyu Huang
Data-Distortion Guided Self-Distillation for Deep Neural Networks
Ting-Bing Xu, Cheng-Lin Liu
Partial Label Learning via Label Enhancement
Ning Xu, Jiaqi Lv, Xin Geng
Dueling Bandits with Qualitative Feedback
Liyuan Xu, Junya Honda, Masashi Sugiyama
Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data
Hongzuo Xu, Yongjun Wang, Zhiyue Wu et al.
Hierarchical Classification Based on Label Distribution Learning
Changdong Xu, Xin Geng
Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks
Chang Xu, Weiran Huang, Hongwei Wang et al.
SpHMC: Spectral Hamiltonian Monte Carlo
Haoyi Xiong, Kafeng Wang, Jiang Bian et al.
Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization
Yuying Xing, Guoxian Yu, Carlotta Domeniconi et al.
Learning Dynamic Generator Model by Alternating Back-Propagation through Time
Jianwen Xie, Ruiqi Gao, Zilong Zheng et al.
Understanding Persuasion Cascades in Online Product Rating Systems
Hong Xie, Yongkun Li, John C.S. Lui
RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace
Yun Xiao, Pengzhen Ren, Zhihui Li et al.