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out-of-distribution-generalization

Here are 33 public repositories matching this topic...

thuml / Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

deep-learning semi-supervised-learning self-training transfer-learning image-translation adversarial-learning domain-adaptation finetune unsupervised-domain-adaptation dann out-of-distribution-generalization

Updated May 10, 2024
Python

huytransformer / Awesome-Out-Of-Distribution-Detection

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

awesome open-world awesome-list outlier-detection ood robustness anomaly-detection novelty-detection open-set-recognition out-of-distribution out-of-distribution-detection ood-detection openset-recognition ood-generalization distribution-shift out-of-distribution-generalization

Updated Nov 10, 2024

MinghuiChen43 / awesome-trustworthy-deep-learning

A curated list of trustworthy deep learning papers. Daily updating...

Updated Nov 12, 2024

divelab / GOOD

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

deep-learning pytorch graph-neural-networks pytorch-geometric distribution-shift out-of-distribution-generalization invariant-learning graph-ood

Updated Nov 9, 2024
Python

THUMNLab / awesome-graph-ood

Papers about out-of-distribution generalization on graphs.

machine-learning deep-learning graph-mining graph-neural-networks out-of-distribution-generalization

Updated Jun 5, 2023

LFhase / CIGA

[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

drug-discovery causal-inference graph-neural-networks graph-representation-learning distribution-shift out-of-distribution-generalization invariant-learning causal-representation-learning

Updated Aug 28, 2023
Python

qitianwu / GraphOOD-EERM

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

pytorch causal-models graph-neural-networks out-of-distribution-generalization

Updated Nov 24, 2022
Python

pauljblazek / deepdistilling

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

program-synthesis knowledge-distillation inductive-logic-programming domain-adaptation explainable-ai interpretable distilling neurosymbolic model-distillation out-of-distribution-generalization mechanistic-interpretability

Updated Feb 20, 2024
Python

qitianwu / GraphOOD-GNNSafe

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

deep-learning pytorch artificial-intelligence outlier-detection label-propagation geometric-deep-learning node-classification graph-neural-networks anamoly-detection pytorch-geometric out-of-distribution-detection large-graph trustworthy-ai distribution-shift out-of-distribution-generalization

Updated Jul 27, 2023
Python

yangnianzu0515 / MoleOOD

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

pytorch graph-classification molecule-representation-learning out-of-distribution-generalization

Updated Feb 16, 2023
Python

xuanlinli17 / large_vlm_distillation_ood

Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)

machine-learning deep-learning zero-shot-learning few-shot-learning out-of-distribution out-of-distribution-generalization open-vocabulary

Updated Apr 8, 2024
Python

LFhase / PAIR

[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization

optimization model-selection multi-objective-optimization causal-inference domain-generalization out-of-distribution-generalization invariant-learning

Updated Apr 12, 2024
Jupyter Notebook

kdhht2334 / ELIM_FER

[NeurIPS 2022] The official repository of Expression Learning with Identity Matching for Facial Expression Recognition

pytorch human-computer-interaction optimal-transport facial-expressions facial-expression-recognition valence-arousal feature-normalization domain-shift real-time-demo out-of-distribution-generalization

Updated Nov 29, 2023
Python

joffery / TRO

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

out-of-distribution-generalization distributionally-robust-optimization

Updated Mar 8, 2023
Python

mala-lab / ADShift

Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”

anomaly-detection image-anomaly-detection distribution-shift out-of-distribution-generalization

Updated Oct 25, 2023
Python

qitianwu / IDCF

Code for ICML21 spotlight paper "Towards open-world recommendation: An inductive model-based collaborative filtering approach"

pytorch recommender-system graph-neural-networks out-of-distribution-generalization

Updated Jul 12, 2024
Python

LFhase / FeAT

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

spurious-correlations feature-learning domain-generalization out-of-distribution-generalization invariant-learning

Updated Jun 19, 2024
Python

qitianwu / FATE

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

tabular-data pytorch graph-neural-networks out-of-distribution-generalization

Updated Aug 22, 2022
Python

ForeverPs / PoER

Potential energy ranking for domain generalization (DG)

energy deep-learning ranking-algorithm out-of-distribution-generalization

Updated Apr 25, 2023
Python

LFhase / GALA

[NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

drug-discovery graph-neural-networks graph-representation-learning out-of-distribution-generalization invariant-learning causal-representation-learning

Updated Aug 25, 2024
Python

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