monk1337 / Awesome-Distribution-ShiftLinks
A curated list of Distribution Shift papers/articles and recent advancements.
☆18Updated 2 years ago
Alternatives and similar repositories for Awesome-Distribution-Shift
Users that are interested in Awesome-Distribution-Shift are comparing it to the libraries listed below
Sorting:
- Survey for Distribution Shift☆19Updated 4 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆59Updated 2 years ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆36Updated 2 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆68Updated 2 years ago
- [NeurIPS 2023 Spotlight] Combating Representation Learning Disparity with Geometric Harmonization☆24Updated 4 months ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- This repository is the official Pytorch implementation of Balanced Product of Calibrated Experts for Long-Tailed Recognition (CVPR 2023).☆19Updated 7 months ago
- [CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"☆158Updated 2 years ago
- The Pytorch implementation for "Uncertainty-guided Model Generalization to Unseen Domains" (CVPR 2021)☆22Updated 3 years ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆38Updated 4 years ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆51Updated 2 years ago
- ☆109Updated 4 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆101Updated 3 years ago
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…☆62Updated 3 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 5 years ago
- Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022☆26Updated 2 years ago
- Code for CAiDA☆24Updated 3 years ago
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆57Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆57Updated 6 years ago
- (ICASSP'21/CVPR'21) Wasserstein Barycenter Transport☆30Updated 3 years ago
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆48Updated 8 months ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆60Updated 2 years ago
- Official code release for the NeurIPS 2021 article Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time…☆10Updated 3 years ago
- Code for Diff-SCM paper☆97Updated 2 years ago
- ☆23Updated 2 years ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 3 years ago
- A PyTorch implementation of MoCo based on CVPR 2020 paper "Momentum Contrast for Unsupervised Visual Representation Learning"☆55Updated 4 years ago
- A collection of model transferability estimation methods.☆28Updated last year