Papers
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence
Miaoyun Zhao, Yulai Cong, Shuyang Dai et al.
Hypergraph Label Propagation Network
Yubo Zhang, Nan Wang, Yufeng Chen et al.
Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation
Yixin Zhang, Zilei Wang
An Ordinal Data Clustering Algorithm with Automated Distance Learning
Yiqun Zhang, Yiu-ming Cheung
Local Regularizer Improves Generalization
Yikai Zhang, Hui Qu, Dimitris Metaxas et al.
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data
Xuchao Zhang, Xian Wu, Fanglan Chen et al.
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network
Xuchao Zhang, Yifeng Gao, Jessica Lin et al.
Adaptive Double-Exploration Tradeoff for Outlier Detection
Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang et al.
AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture
Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li et al.
Optimal Margin Distribution Learning in Dynamic Environments
Teng Zhang, Peng Zhao, Hai Jin
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset
Ruohan Zhang, Calen Walshe, Zhuode Liu et al.
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process
Rui Zhang, Christian Walder, Marian-Andrei Rizoiu
High Performance Depthwise and Pointwise Convolutions on Mobile Devices
Pengfei Zhang, Eric Lo, Baotong Lu
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal
Li Zhang, Xin Li, Sen Chen et al.
Policy Search by Target Distribution Learning for Continuous Control
Chuheng Zhang, Yuanqi Li, Jian Li
Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior
Chenguang Zhang, Yuexian Hou, Yan Zhang
CD-UAP: Class Discriminative Universal Adversarial Perturbation
Chaoning Zhang, Philipp Benz, Tooba Imtiaz et al.
Aggregated Gradient Langevin Dynamics
Chao Zhang, Jiahao Xie, Zebang Shen et al.
Topic Modeling on Document Networks with Adjacent-Encoder
Ce Zhang, Hady W. Lauw
Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting
Daniel Zeiberg, Shantanu Jain, Predrag Radivojac
Apprenticeship Learning via Frank-Wolfe
Tom Zahavy, Alon Cohen, Haim Kaplan et al.
Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond
Jianjun Yuan, Andrew Lamperski
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
Zheng Yu, Xuhui Fan, Marcin Pietrasik et al.