Search Results for author: Zehao Lei

Found 2 papers, 2 papers with code

Revisiting Random Weight Perturbation for Efficiently Improving Generalization

1 code implementation30 Mar 2024 Tao Li, Qinghua Tao, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang

Improving the generalization ability of modern deep neural networks (DNNs) is a fundamental challenge in machine learning.

Efficient Generalization Improvement Guided by Random Weight Perturbation

1 code implementation21 Nov 2022 Tao Li, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Ming Yang, Xiaolin Huang

To fully uncover the great potential of deep neural networks (DNNs), various learning algorithms have been developed to improve the model's generalization ability.

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