dirichletcal / experiments_neuripsLinks
☆21Updated 2 years ago
Alternatives and similar repositories for experiments_neurips
Users that are interested in experiments_neurips are comparing it to the libraries listed below
Sorting:
- ☆19Updated 7 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- ☆37Updated 4 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated 2 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆39Updated 5 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆88Updated 3 years ago
- ☆66Updated 5 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Invariant-feature Subspace Recovery (ISR)☆23Updated 3 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated 2 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆42Updated 5 years ago
- ☆46Updated 4 years ago
- ☆10Updated 4 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆64Updated 4 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆42Updated last year
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Updated 3 years ago
- Coresets via Bilevel Optimization☆68Updated 5 years ago
- Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"☆15Updated 3 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 5 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 5 years ago
- Original dataset release for CIFAR-10H☆82Updated 5 years ago
- PyTorch implementation of FIM and empirical FIM☆60Updated 7 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Updated 4 years ago
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Updated 5 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year