ars22 / RCAD-regularizerLinks
☆16Updated 3 years ago
Alternatives and similar repositories for RCAD-regularizer
Users that are interested in RCAD-regularizer are comparing it to the libraries listed below
Sorting:
- ☆36Updated 3 years ago
- ☆18Updated 3 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆52Updated 2 years ago
- Recycling diverse models☆46Updated 3 years ago
- ☆96Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆48Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 5 years ago
- Distilling Model Failures as Directions in Latent Space☆47Updated 3 years ago
- ☆15Updated 3 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Updated 4 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- ☆26Updated 3 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆41Updated 3 years ago
- ☆56Updated 5 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 3 years ago
- ☆48Updated 3 years ago
- ☆38Updated 4 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆32Updated 2 years ago
- Fine-grained ImageNet annotations☆30Updated 5 years ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆32Updated 3 years ago
- NEVIS'22: Benchmarking the next generation of never-ending learners☆102Updated 3 years ago
- ☆34Updated 8 months ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆25Updated 4 years ago
- LISA for ICML 2022☆52Updated 2 years ago
- Provably (and non-vacuously) bounding test error of deep neural networks under distribution shift with unlabeled test data.☆10Updated last year
- ☆45Updated 5 years ago
- Official code for the paper: "Metadata Archaeology"☆19Updated 2 years ago
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Updated 2 years ago