tding1 / Neural-Collapse
[NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
☆55Updated 2 years ago
Alternatives and similar repositories for Neural-Collapse:
Users that are interested in Neural-Collapse are comparing it to the libraries listed below
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆70Updated 8 months ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 4 years ago
- ☆34Updated 3 years ago
- ☆44Updated 2 years ago
- ☆23Updated 2 years ago
- ☆107Updated last year
- ☆34Updated last year
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆28Updated 2 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆26Updated last year
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- ☆28Updated 7 months ago
- ☆54Updated 4 years ago
- Distilling Model Failures as Directions in Latent Space☆46Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- ☆57Updated 2 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆46Updated last year
- Training vision models with full-batch gradient descent and regularization☆37Updated 2 years ago
- ☆62Updated 3 years ago
- Deep Learning & Information Bottleneck☆56Updated last year
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆21Updated last year
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆90Updated 4 years ago
- ☆63Updated 2 months ago