microsoft / robustdg
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
☆176Updated last year
Alternatives and similar repositories for robustdg:
Users that are interested in robustdg are comparing it to the libraries listed below
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆86Updated 5 years ago
- ☆66Updated 5 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
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆86Updated 2 years ago
- ☆64Updated 4 years ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆37Updated 4 years ago
- Generalizing to unseen domains via distribution matching☆70Updated 4 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12…☆52Updated 4 years ago
- ☆36Updated 3 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆101Updated 5 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated 11 months ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Original dataset release for CIFAR-10H☆82Updated 4 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- ☆37Updated 4 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆107Updated last year
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- A way to achieve uniform confidence far away from the training data.☆37Updated 4 years ago
- ☆107Updated last year
- Description Code for the paper "Robust Inference via Generative Classifiers for Handling Noisy Labels".☆32Updated 5 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆50Updated 4 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆91Updated 4 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆160Updated 4 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆254Updated last year
- ☆40Updated 5 years ago