[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
-
Updated
Apr 11, 2024 - Python
[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
Towards Understanding Sharpness-Aware Minimization [ICML 2022]
Code for the paper "Mehta, S. V., Patil, D., Chandar, S., & Strubell, E. (2023). An Empirical Investigation of the Role of Pre-training in Lifelong Learning. The Journal of Machine Learning Research 24 (2023)"
FastClassification is a tensorflow toolbox for class classification. It provides a training module with various backbones and training tricks towards state-of-the-art class classification.
The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability". We study how to train surrogates model for boosting transfer attack.
(CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"
Code for AAAI 2024 paper: CR-SAM: Curvature Regularized Sharpness-Aware Minimization
Sharpness Aware Minimization for Fastai
Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV, 2023.
LeNet-5 with SAM, Generalization
Super-Convergence on CIFAR10
PyTorch implementation of Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
Improving Generalization with Flat Hilbert Bayesian Inference
[AAAI 2025] Flexible Sharpness-Aware Personalized Federated Learning
Add a description, image, and links to the sharpness-aware-minimization topic page so that developers can more easily learn about it.
To associate your repository with the sharpness-aware-minimization topic, visit your repo's landing page and select "manage topics."