team-approx-bayes / bayesian-samLinks
Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.
☆25Updated 2 years ago
Alternatives and similar repositories for bayesian-sam
Users that are interested in bayesian-sam are comparing it to the libraries listed below
Sorting:
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- ☆108Updated 2 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆41Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated 2 years ago
- ☆37Updated last year
- ☆46Updated 2 years ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆31Updated 4 years ago
- Belief matching framework official implementation☆40Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆60Updated 3 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆47Updated 4 years ago
- ☆108Updated last year
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆53Updated 3 years ago
- Bayesian Deep Learning Library☆12Updated last year
- ☆57Updated 3 years ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆37Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- ☆38Updated 9 months ago
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- ☆28Updated 2 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Updated 2 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated last month
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- ☆58Updated 2 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 3 years ago
- ☆16Updated 2 years ago
- Differentiable Top-k Classification Learning☆83Updated 2 years ago