Hossein Mobahi Sharpness Aware Minimization

Hossein Mobahi Sharpness Aware Minimization Information Guide

1. Introduction on Hossein Mobahi Sharpness Aware Minimization
2. Important Facts
3. History
4. Full Guide
5. Summary

Introduction on Hossein Mobahi Sharpness Aware Minimization

Abstract: In today's heavily overparameterized models, the value of the training loss provides few guarantees on model ... ... uh if you're using cross-entropy loss you know you know that in order to Jiadi Jiang, Ant Group This is our video presentation on Weighted This is the presentation video of our CVPR'23 paper titled "Class Conditional High Dimensional Hamilton-Jacobi PDEs 2020 Workshop II: PDE and Inverse Problem Methods in Machine Learning "Differential ... CVPR2026 Reward Sharpness-Aware Fine-tuning for Diffusion Models

Presentation video of two NeurIPS 2023 papers: - The Crucial Role of Normalization in 中文版PPT: arxiv: 好简单， 这思想也不错， 怎么用呢？ ... the loss surface and the generalization gap, we show that i) training clients locally with

Important Facts

History

KDD 2023 - Weighted Sharpness-Aware Minimization (WSAM)

[Sharpness-aware minimization for efficiently improving generalization] 설명

How Hessian Structure Explains Mysteries in Sharpness Regularization

CC-SAM CVPR'23 Presentation

Hossein Mobahi: "Differential Operators for Generating Structured Adversarial Examples"

CVPR2026 Reward Sharpness-Aware Fine-tuning for Diffusion Models

Learning threshold neurons via the Edge of Stability (EoS) and Sharpness-Aware Minimization (SAM)

【点论文】198 Efficient Sharpness-aware Minimization for Improve Neural Networks

[ECCV 2022] Improving generalization in federated learning by seeking flat minima

Full Guide

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Last Updated: June 12, 2026

Summary

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