Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity, William de Vazelhes, Hualin Zhang, Huimin Wu, Xiao Tong Yuan, Bin Gu
Bin Gu

Self-Adaptive Perturbation Radii for Adversarial Training, Huimin Wu, Wanli Shi, Chenkang Zhang, Bin Gu
Bin Gu

Self-Adaptive Perturbation Radii for Adversarial Training, Huimin Wu, Wanli Shi, Chenkang Zhang, Bin Gu
Machine Learning Faculty Publications

Efficient Semi-Supervised Adversarial Training without Guessing Labels, Huimin Wu, William Vazelhes, Bin Gu
Bin Gu

Efficient Semi-Supervised Adversarial Training without Guessing Labels, Huimin Wu, William Vazelhes, Bin Gu
Machine Learning Faculty Publications

Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints, Zhengqing Gao, Huimin Wu, Martin Takac, Bin Gu
Martin Takac

Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints, Zhengqing Gao, Huimin Wu, Martin Takac, Bin Gu
Bin Gu

Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity, William de Vazelhes, Hualin Zhang, Huimin Wu, Xiao Tong Yuan, Bin Gu
Machine Learning Faculty Publications

Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints, Zhengqing Gao, Huimin Wu, Martin Takac, Bin Gu
Machine Learning Faculty Publications