There are 4 repositories under out-of-distribution-generalization topic.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
A curated list of trustworthy deep learning papers. Daily updating...
Papers about out-of-distribution generalization on graphs.
The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform human-designed algorithms
Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)
Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction and pharmacogenomics
The Pytorch implementation for "Are Data-driven Explanations Robust against Out-of-distribution Data?" (CVPR 2023)
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
This work is a analysis of representations acquired for standard, OOD and Biased data on numerous objective functions.
Code for the research paper Meta-learning with hierarchical models based on similarity of causal mechanisms