Shaopeng Fu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Bayesian Inference

Top Venues

J. Comput. Methods Sci. Eng.

Publications

Shaopeng Fu, Di Wang
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach. ICLR (2024)
Ya Zhou, Shaopeng Fu
Low-carbon building evaluation index system based on hierarchical analysis method. J. Comput. Methods Sci. Eng. 24 (2) (2024)
Shaopeng Fu, Di Wang
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach. CoRR (2023)
Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao
Robust Unlearnable Examples: Protecting Data Against Adversarial Learning. CoRR (2022)
Shaopeng Fu, Fengxiang He, Dacheng Tao
Knowledge Removal in Sampling-based Bayesian Inference. CoRR (2022)
Shaopeng Fu, Fengxiang He, Dacheng Tao
Knowledge Removal in Sampling-based Bayesian Inference. ICLR (2022)
Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning. ICLR (2022)
Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. Neural Comput. 33 (8) (2021)
Shaopeng Fu, Fengxiang He, Yue Xu, Dacheng Tao
Bayesian Inference Forgetting. CoRR (2021)
Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao
Robustness, Privacy, and Generalization of Adversarial Training. CoRR (2020)
Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. CoRR (2020)