Papers
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices
Jie Zhang, Xiaolong Wang, Dawei Li et al.
Scalable Multiplex Network Embedding
Hongming Zhang, Liwei Qiu, Lingling Yi et al.
Generative Warfare Nets: Ensemble via Adversaries and Collaborators
Honglun Zhang, Liqiang Xiao, Wenqing Chen et al.
Learning to Design Games: Strategic Environments in Reinforcement Learning
Haifeng Zhang, Jun Wang, Zhiming Zhou et al.
Learning Environmental Calibration Actions for Policy Self-Evolution
Chao Zhang, Yang Yu, Zhi-Hua Zhou
FISH-MML: Fisher-HSIC Multi-View Metric Learning
Changqing Zhang, Yeqinq Liu, Yue Liu et al.
Mixture of GANs for Clustering
Yang Yu, Wen-Ji Zhou
A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization
Xiaotian Yu, Irwin King, Michael R. Lyu et al.
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels
Shujian Yu, Xiaoyang Wang, José C. Príncipe
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning
Haiyan Yin, Jianda Chen, Sinno Jialin Pan
Stochastic Fractional Hamiltonian Monte Carlo
Nanyang Ye, Zhanxing Zhu
Distance Metric Facilitated Transportation between Heterogeneous Domains
Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan et al.
High-dimensional Similarity Learning via Dual-sparse Random Projection
Dezhong Yao, Peilin Zhao, Tuan-Anh Nguyen Pham et al.
Semi-Supervised Multi-Modal Learning with Incomplete Modalities
Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng et al.
Bandit Online Learning on Graphs via Adaptive Optimization
Peng Yang, Peilin Zhao, Xin Gao
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning
Long Yang, Minhao Shi, Qian Zheng et al.
Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis
Guolei Yang, Ying Cai, Chandan K Reddy
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation
Yuguang Yan, Wen Li, Hanrui Wu et al.
Cost-Effective Active Learning for Hierarchical Multi-Label Classification
Yi-Fan Yan, Sheng-Jun Huang
A Unified Analysis of Stochastic Momentum Methods for Deep Learning
Yan Yan, Tianbao Yang, Zhe Li et al.
Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning
Junchi Yan, Xin Liu, Liangliang Shi et al.
PredCNN: Predictive Learning with Cascade Convolutions
Ziru Xu, Yunbo Wang, Mingsheng Long et al.
Convergence Analysis of Gradient Descent for Eigenvector Computation
Zhiqiang Xu, Xin Cao, Xin Gao
Label Enhancement for Label Distribution Learning
Ning Xu, An Tao, Xin Geng
Multi-Level Metric Learning via Smoothed Wasserstein Distance
Jie Xu, Lei Luo, Cheng Deng et al.