Revisiting Random Weight Perturbation for Efficiently Improving
Generalization

Revisiting Random Weight Perturbation for Efficiently Improving Generalization

30 March 2024

Xiaolin Huang

Papers citing "Revisiting Random Weight Perturbation for Efficiently Improving Generalization"

7 / 7 papers shown

Title
Revisiting Video Quality Assessment from the Perspective of Generalization Xinli Yue Jianhui Sun Liangchao Yao Fan Xia Yuetang Deng ... Lei Li Fengyun Rao Jing Lv Qian Wang Lingchen Zhao MoMe 39 0 0 23 Sep 2024
Friendly Sharpness-Aware Minimization Tao Li Pan Zhou Zhengbao He Xinwen Cheng Xiaolin Huang AAML 54 15 0 19 Mar 2024
An Adaptive Policy to Employ Sharpness-Aware Minimization Weisen Jiang Hansi Yang Yu Zhang James T. Kwok AAML 83 32 0 28 Apr 2023
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks Jiawei Du Hanshu Yan Jiashi Feng Qiufeng Wang Liangli Zhen Rick Siow Mong Goh Vincent Y. F. Tan AAML 113 132 0 07 Oct 2021
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications Ziqiao Wang Yongyi Mao FedML MLT 39 22 0 07 Oct 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 312 2,896 0 15 Sep 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark Schmidt 139 1,205 0 16 Aug 2016