rollovd / LookSAM
This is unofficial repository for Towards Efficient and Scalable Sharpness-Aware Minimization.
☆36Updated 11 months ago
Alternatives and similar repositories for LookSAM:
Users that are interested in LookSAM are comparing it to the libraries listed below
- ☆19Updated last year
- ☆35Updated 2 years ago
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆30Updated 4 months ago
- ☆11Updated 2 years ago
- gradient norm penalty☆39Updated 9 months ago
- ☆34Updated last year
- ☆57Updated 2 years ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆31Updated 3 years ago
- [ICLR 2023] Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation☆12Updated last year
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- ☆17Updated 9 months ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- ☆16Updated 2 years ago
- LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters☆31Updated 3 weeks ago
- [CVPR 2024] Friendly Sharpness-Aware Minimization☆28Updated 5 months ago
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆44Updated last year
- Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch☆75Updated 2 years ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆27Updated 2 years ago
- [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…☆46Updated last year
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆63Updated 6 months ago
- Official Code of The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks[ICML2022]☆14Updated 2 years ago
- A simple and efficient baseline for data attribution☆11Updated last year
- Code for testing DCT plus Sparse (DCTpS) networks☆14Updated 3 years ago
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆28Updated last year
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆30Updated 2 years ago
- ☆14Updated last year
- Deep Learning & Information Bottleneck☆58Updated last year
- ☆65Updated 3 months ago