Papers
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling
Jianpeng Xu, Xi Liu, Tyler Wilson et al.
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes
Hongteng Xu, Dixin Luo, Lawrence Carin
Deep Multi-View Concept Learning
Cai Xu, Ziyu Guan, Wei Zhao et al.
De-biasing Covariance-Regularized Discriminant Analysis
Haoyi Xiong, Wei Cheng, Yanjie Fu et al.
Multi-Label Co-Training
Yuying Xing, Guoxian Yu, Carlotta Domeniconi et al.
Towards Enabling Binary Decomposition for Partial Label Learning
Xuan Wu, Min-Ling Zhang
Efficient Attributed Network Embedding via Recursive Randomized Hashing
Wei Wu, Bin Li, Ling Chen et al.
Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval
Gengshen Wu, Zijia Lin, Jungong Han et al.
Does Tail Label Help for Large-Scale Multi-Label Learning
Tong Wei, Yu-Feng Li
Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams
Yi Wang, Nan Xue, Xin Fan et al.
New Balanced Active Learning Model and Optimization Algorithm
Xiaoqian Wang, Yijun Huang, Ji Liu et al.
Mixed Link Networks
Wenhai Wang, Xiang Li, Tong Lu et al.
Feature Hashing for Network Representation Learning
Qixiang Wang, Shanfeng Wang, Maoguo Gong et al.
Iterative Metric Learning for Imbalance Data Classification
Nan Wang, Xibin Zhao, Yu Jiang et al.
Adaptive Graph Guided Embedding for Multi-label Annotation
Lichen Wang, Zhengming Ding, Yun Fu
Convolutional Memory Blocks for Depth Data Representation Learning
Keze Wang, Liang Lin, Chuangjie Ren et al.
Binary Coding based Label Distribution Learning
Ke Wang, Xin Geng
Ranking Preserving Nonnegative Matrix Factorization
Jing Wang, Feng Tian, Weiwei Liu et al.
Progressive Blockwise Knowledge Distillation for Neural Network Acceleration
Hui Wang, Hanbin Zhao, Xi Li et al.
Minimizing Adaptive Regret with One Gradient per Iteration
Guanghui Wang, Dakuan Zhao, Lijun Zhang
Cascaded Low Rank and Sparse Representation on Grassmann Manifolds
Boyue Wang, Yongli Hu, Junbin Gao et al.
Efficient Adaptive Online Learning via Frequent Directions
Yuanyu Wan, Nan Wei, Lijun Zhang
Deterministic Binary Filters for Convolutional Neural Networks
Vincent W.-S. Tseng, Sourav Bhattacharya, Javier Fernández Marqués et al.