facebookresearch / InvariantRiskMinimizationLinks
PyTorch code to run synthetic experiments.
☆433Updated 4 years ago
Alternatives and similar repositories for InvariantRiskMinimization
Users that are interested in InvariantRiskMinimization are comparing it to the libraries listed below
Sorting:
- Distributionally robust neural networks for group shifts☆293Updated 3 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆430Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆591Updated 2 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆343Updated 2 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
- ☆63Updated 5 years ago
- Mutual Information Neural Estimation in Pytorch☆350Updated last year
- Learning Adversarially Fair and Transferable Representations☆56Updated 7 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆210Updated 7 years ago
- Disentanglement library for PyTorch☆283Updated 3 years ago
- Optimal Transport Dataset Distance☆174Updated 3 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Implementation of the variational continual learning method☆195Updated 6 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆207Updated 4 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆350Updated 6 years ago
- ☆429Updated 4 years ago
- This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.☆191Updated 3 years ago
- Approximating Wasserstein distances with PyTorch☆460Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Updated 3 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆351Updated 6 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- An implementation of EWC with PyTorch☆256Updated 6 years ago
- Evaluate three types of task shifting with popular continual learning algorithms.☆524Updated 4 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆219Updated 7 years ago
- Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…☆460Updated 3 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆478Updated 2 years ago
- An implementation of the BADGE batch active learning algorithm.☆211Updated last year
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆241Updated 5 years ago
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆809Updated 6 years ago