Fisher SAM: Information Geometry and Sharpness Aware Minimisation

Fisher SAM: Information Geometry and Sharpness Aware Minimisation

10 June 2022

Timothy M. Hospedales

Papers citing "Fisher SAM: Information Geometry and Sharpness Aware Minimisation"

19 / 19 papers shown

Title
Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning Lianbo Ma Jianlun Ma Yuee Zhou Guoyang Xie Qiang He Zhichao Lu MQ 45 0 0 08 May 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 186 0 0 18 Dec 2024
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead Marlon Becker Frederick Altrock Benjamin Risse 76 5 0 22 Jan 2024
EsaCL: Efficient Continual Learning of Sparse Models Weijieying Ren V. Honavar CLL 22 3 0 11 Jan 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 59 1 0 08 Nov 2023
Sharpness-Aware Graph Collaborative Filtering Huiyuan Chen Chin-Chia Michael Yeh Yujie Fan Yan Zheng Junpeng Wang Vivian Lai Mahashweta Das Hao Yang 26 5 0 18 Jul 2023
Improving Convergence and Generalization Using Parameter Symmetries Bo-Lu Zhao Robert Mansel Gower Robin G. Walters Rose Yu MoMe 30 13 0 22 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
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation Nico Daheim Nouha Dziri Mrinmaya Sachan Iryna Gurevych E. Ponti MoMe 31 30 0 30 Mar 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
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization Kayhan Behdin Qingquan Song Aman Gupta S. Keerthi Ayan Acharya Borja Ocejo Gregory Dexter Rajiv Khanna D. Durfee Rahul Mazumder AAML 18 7 0 19 Feb 2023
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization Agustinus Kristiadi Felix Dangel Philipp Hennig 32 11 0 14 Feb 2023
Symmetries, flat minima, and the conserved quantities of gradient flow Bo-Lu Zhao I. Ganev Robin G. Walters Rose Yu Nima Dehmamy 47 16 0 31 Oct 2022
Rethinking Sharpness-Aware Minimization as Variational Inference Szilvia Ujváry Zsigmond Telek A. Kerekes Anna Mészáros Ferenc Huszár 30 8 0 19 Oct 2022
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 27 24 0 24 Nov 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 216 423 0 17 Feb 2021
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 266 0 13 Jun 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016
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