tml-epfl / understanding-samLinks
Towards Understanding Sharpness-Aware Minimization [ICML 2022]
☆35Updated 3 years ago
Alternatives and similar repositories for understanding-sam
Users that are interested in understanding-sam are comparing it to the libraries listed below
Sorting:
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- ☆34Updated last year
- ☆55Updated 5 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆41Updated last year
- Training vision models with full-batch gradient descent and regularization☆38Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆59Updated 3 years ago
- ☆38Updated 4 years ago
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆28Updated 2 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆61Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Updated 6 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 5 years ago
- ☆18Updated 2 years ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆51Updated last year
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 3 years ago
- ☆109Updated 2 years ago
- ☆70Updated 10 months ago
- ☆23Updated 3 years ago
- ☆17Updated 2 years ago
- ☆62Updated 4 years ago
- ☆46Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- ☆34Updated 4 months ago