Papers
Adaptive Dropout Rates for Learning with Corrupted Features
Jingwei Zhuo, Jun Zhu, Bo Zhang
Supervised Representation Learning: Transfer Learning with Deep Autoencoders
Fuzhen Zhuang, Xiaohu Cheng, Ping Luo et al.
Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization
Peng Zhou, Liang Du, Hanmo Wang et al.
Recovery of Corrupted Multiple Kernels for Clustering
Peng Zhou, Liang Du, Lei Shi et al.
MUVIR: Multi-View Rare Category Detection
Dawei Zhou, Jingrui He, K. Seluk Candan et al.
Instance-Wise Weighted Nonnegative Matrix Factorization for Aggregating Partitions with Locally Reliable Clusters
Xiaodong Zheng, Shanfeng Zhu, Junning Gao et al.
Mobile Query Recommendation via Tensor Function Learning
Zhou Zhao, Ruihua Song, Xing Xie et al.
Dual-Regularized Multi-View Outlier Detection
Handong Zhao, Yun Fu
Self-Adaptive Hierarchical Sentence Model
Han Zhao, Zhengdong Lu, Pascal Poupart
Semi-Supervised Multi-Label Learning with Incomplete Labels
Feipeng Zhao, Yuhong Guo
Multi-Task Multi-View Clustering for Non-Negative Data
Xianchao Zhang, Xiaotong Zhang, Han Liu
Solving the Partial Label Learning Problem: An Instance-Based Approach
Min-Ling Zhang, Fei Yu
Towards Class-Imbalance Aware Multi-Label Learning
Min-Ling Zhang, Yu-Kun Li, Xu-Ying Liu
Increasingly Cautious Optimism for Practical PAC-MDP Exploration
Liangpeng Zhang, Ke Tang, Xin Yao
A Direct Boosting Approach for Semi-supervised Classification
Shaodan Zhai, Tian Xia, Zhongliang Li et al.
Matrix Factorization with Scale-Invariant Parameters
Guangxiang Zeng, Hengshu Zhu, Qi Liu et al.
Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion
Quanming Yao, James T. Kwok
Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition
Jianbo Yang, Minh Nhut Nguyen, Phyo Phyo San et al.
Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search
Yan Yan, Mingkui Tan, Ivor Tsang et al.
Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison
Jingwei Xu, Yuan Yao, Hanghang Tong et al.
Multi-view Self-Paced Learning for Clustering
Chang Xu, Dacheng Tao, Chao Xu
Perception Evolution Network Adapting to the Emergence of New Sensory Receptor
Youlu Xing, Furao Shen, Jinxi Zhao
Thompson Sampling for Budgeted Multi-Armed Bandits
Yingce Xia, Haifang Li, Tao Qin et al.
Multi-Graph-View Learning for Complicated Object Classification
Jia Wu, Shirui Pan, Xingquan Zhu et al.