out-of-distribution-generalization

Here are 42 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

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Python

huytransformer / Awesome-Out-Of-Distribution-Detection

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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 outlier-detection anomaly open-set awesome-lists robustness anomaly-detection novelty-detection open-set-recognition out-of-distribution out-of-distribution-detection ood-detection ood-generalization out-of-distribution-generalization open-world-learning ood-robustness distribution-shifts out-of-distribution-robustness

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MinghuiChen43 / awesome-trustworthy-deep-learning

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

security privacy deep-learning backdoor uncertainty ownership causality fairness watermarking poisoning robustness adversarial-machine-learning machine-unlearning interpretable-deep-learning ai-alignment green-ai membership-inference-attack hallucinations gradient-leakage out-of-distribution-generalization

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divelab / GOOD

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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

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Python

THUMNLab / awesome-graph-ood

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Papers about out-of-distribution generalization on graphs.

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

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LFhase / CIGA

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[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

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Python

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

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Python

qitianwu / GraphOOD-EERM

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

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

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Python

qitianwu / GraphOOD-GNNSafe

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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

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Python

yangnianzu0515 / MoleOOD

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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

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Python

xuanlinli17 / large_vlm_distillation_ood

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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

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Python

LFhase / PAIR

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[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

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Jupyter Notebook

kdhht2334 / ELIM_FER

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[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

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Python

mala-lab / ADShift

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

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

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Python

nikitadurasov / torch-ttt

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A modular and easy-to-use framework for Test-Time Training (TTT) and Test-Time Adaptation (TTA) in Pytorch, making your networks more generalizable with minimal effort ✨

pytorch robustness generalization out-of-distribution test-time-adaptation out-of-distribution-generalization test-time-training improved-performance robustness-ai