Efficient Sharpness-aware Minimization for Improved Training of Neural Networks

7 October 2021

Vincent Y. F. Tan

Papers citing "Efficient Sharpness-aware Minimization for Improved Training of Neural Networks"

32 / 32 papers shown

Title
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning Sunwoo Lee 109 0 0 18 Mar 2025
Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training Zhanpeng Zhou Mingze Wang Yuchen Mao Bingrui Li Junchi Yan AAML 62 0 0 14 Oct 2024
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization Jiaxin Deng Junbiao Pang Baochang Zhang 66 1 0 12 Jun 2024
Effective Gradient Sample Size via Variation Estimation for Accelerating Sharpness aware Minimization Jiaxin Deng Junbiao Pang Baochang Zhang Tian Wang 45 1 0 24 Feb 2024
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead Marlon Becker Frederick Altrock Benjamin Risse 76 5 0 22 Jan 2024
Critical Influence of Overparameterization on Sharpness-aware Minimization Sungbin Shin Dongyeop Lee Maksym Andriushchenko Namhoon Lee AAML 44 1 0 29 Nov 2023
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning Xin Zhang Jiawei Du Yunsong Li Weiying Xie Qiufeng Wang 37 7 0 22 Nov 2023
Lookbehind-SAM: k steps back, 1 step forward Gonçalo Mordido Pranshu Malviya A. Baratin Sarath Chandar AAML 45 1 0 31 Jul 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training Yechao Zhang Shengshan Hu Leo Yu Zhang Junyu Shi Minghui Li Xiaogeng Liu Wei Wan Hai Jin AAML 22 21 0 15 Jul 2023
Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima Dongkuk Si Chulhee Yun 28 15 0 16 Jun 2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy Yi Shi Kang Wei Li Shen Yingqi Liu Xueqian Wang Bo Yuan Dacheng Tao FedML 33 2 0 01 May 2023
An Adaptive Policy to Employ Sharpness-Aware Minimization Weisen Jiang Hansi Yang Yu Zhang James T. Kwok AAML 81 31 0 28 Apr 2023
Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability Martin Gubri Maxime Cordy Yves Le Traon AAML 20 3 1 05 Apr 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 32 31 0 23 Mar 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang Xiaotian Han Hongye Jin Guanchu Wang Rui Chen Na Zou Xia Hu 12 13 0 06 Mar 2023
A Survey on Efficient Training of Transformers Bohan Zhuang Jing Liu Zizheng Pan Haoyu He Yuetian Weng Chunhua Shen 31 47 0 02 Feb 2023
Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization Hoki Kim Jinseong Park Yujin Choi Woojin Lee Jaewook Lee 20 9 0 27 Jan 2023
An SDE for Modeling SAM: Theory and Insights Enea Monzio Compagnoni Luca Biggio Antonio Orvieto F. Proske Hans Kersting Aurelien Lucchi 23 13 0 19 Jan 2023
Stability Analysis of Sharpness-Aware Minimization Hoki Kim Jinseong Park Yujin Choi Jaewook Lee 33 12 0 16 Jan 2023
SADT: Combining Sharpness-Aware Minimization with Self-Distillation for Improved Model Generalization Masud An Nur Islam Fahim Jani Boutellier 37 0 0 01 Nov 2022
K-SAM: Sharpness-Aware Minimization at the Speed of SGD Renkun Ni Ping Yeh-Chiang Jonas Geiping Micah Goldblum A. Wilson Tom Goldstein 23 8 0 23 Oct 2022
Large-batch Optimization for Dense Visual Predictions Zeyue Xue Jianming Liang Guanglu Song Zhuofan Zong Liang Chen Yu Liu Ping Luo VLM 33 9 0 20 Oct 2022
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach Peng Mi Li Shen Tianhe Ren Yiyi Zhou Xiaoshuai Sun Rongrong Ji Dacheng Tao AAML 27 69 0 11 Oct 2022
The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima Peter L. Bartlett Philip M. Long Olivier Bousquet 73 34 0 04 Oct 2022
Generalized Federated Learning via Sharpness Aware Minimization Zhe Qu Xingyu Li Rui Duan Yaojiang Liu Bo Tang Zhuo Lu FedML 25 131 0 06 Jun 2022
Neighborhood Region Smoothing Regularization for Finding Flat Minima In Deep Neural Networks Yang Zhao Hao Zhang 22 1 0 16 Jan 2022
Sharpness-Aware Minimization with Dynamic Reweighting Wenxuan Zhou Fangyu Liu Huan Zhang Muhao Chen AAML 19 8 0 16 Dec 2021
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 27 24 0 24 Nov 2021
Partial Domain Adaptation without Domain Alignment Weikai Li Songcan Chen 24 13 0 29 Aug 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 298 3,700 0 11 Feb 2021
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 253 656 0 23 Mar 2020
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 284 2,889 0 15 Sep 2016