rollovd / LookSAMLinks
This is unofficial repository for Towards Efficient and Scalable Sharpness-Aware Minimization.
☆37Updated last year
Alternatives and similar repositories for LookSAM
Users that are interested in LookSAM are comparing it to the libraries listed below
Sorting:
- ☆21Updated 2 years ago
- Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch☆78Updated 2 years ago
- gradient norm penalty☆41Updated last year
- ☆35Updated 3 years ago
- Code for AAAI 2024 paper: CR-SAM: Curvature Regularized Sharpness-Aware Minimization☆13Updated last year
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- [ICLR 2023] Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation☆12Updated 2 years ago
- ☆58Updated 2 years ago
- A simple Jax implementation of influence functions.☆20Updated last year
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆39Updated last year
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆48Updated 2 years ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆146Updated 3 years ago
- ☆11Updated 3 years ago
- ☆19Updated last year
- ☆34Updated 2 years ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆32Updated 3 years ago
- [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…☆70Updated last year
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 4 years ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆33Updated last year
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆13Updated 2 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆38Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆52Updated 2 years ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆30Updated 3 years ago
- ☆34Updated 8 months ago
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆28Updated 2 years ago
- Model Fusion via Optimal Transport, NeurIPS 2020☆152Updated 3 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆32Updated 2 years ago
- ☆26Updated last year
- Bayesian Low-Rank Adaptation for Large Language Models☆36Updated last year