out-of-distribution-generalization topic

Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source libraries e...

huytransformer

Codes and datasets for ICML21 paper "Towards open-world recommendation: An inductive model-based collaborative filtering approach"

qitianwu

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

qitianwu

Codes and datasets for NeurIPS21 paper “Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach”

qitianwu

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...

pauljblazek

The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"

qitianwu

Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).

yangnianzu0515

[NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization

LFhase

The Pytorch implementation for "Topology-aware Robust Optimization for Out-of-Distribution Generalization" (ICLR 2023)

joffery

The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS 2023)

divelab