ood-generalization

Here are 24 public repositories matching this topic...

huytransformer / Awesome-Out-Of-Distribution-Detection

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 etc

awesome open-world awesome-list ood robustness out-of-distribution out-of-distribution-detection ood-detection ood-generalization distribution-shift out-of-distribution-generalization

Updated Jun 26, 2024

Daniel-xsy / RoboBEV

Star

RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift

autonomous-driving 3d-detection bird-eye-view ood-generalization

Updated Jun 19, 2024
Python

YyzHarry / multi-domain-imbalance

Star

[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

deep-learning multi-domain ood imbalanced-data domain-adaptation imbalanced-learning long-tail eccv imbalance domain-generalization imbalanced-classification long-tailed-recognition multi-domain-learning ood-generalization eccv-2022

Updated Jan 26, 2023
Python

YyzHarry / SubpopBench

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[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

benchmark spurious-correlations class-imbalance subpopulation icml subgroup out-of-distribution domain-generalization ood-generalization ood-robustness subpopulation-shift icml-2023

Updated Jul 10, 2023
Python

addtt / object-centric-library

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Library for the training and evaluation of object-centric models (ICML 2022)

objects representation-learning unsupervised-learning generalization object-centric ood-generalization distribution-shift structured-representations

Updated Apr 30, 2023
Python

Heathcliff-saku / ViewFool_

Star

This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).

visual-recognition robustness ood-generalization neurips2022 viewpoint-changes

Updated Dec 18, 2023
Python

HPLQAQ / SAM-Deblur

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Implementation of the paper SAM-Deblur: Let Segment Anything Boost Image Deblurring(ICASSP2024)

image-restoration plug-and-play image-deblurring ood-generalization segment-anything

Updated Dec 22, 2023
Python

llyx97 / sparse-and-robust-PLM

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[NeurIPS 2022] "A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models", Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou

pytorch-implmention ood-generalization bert-compression dataset-bias

Updated Jan 9, 2024
Python

Samyu0304 / LiSA

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Code for Mind the Label Shift of Augmentation-based Graph OOD generalization (LiSA) in CVPR 2023. LiSA is a model-agnostic Graph OOD framework.

graph ood-generalization cvpr2023

Updated Jun 24, 2023
Python

Linxyhaha / COR

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Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)

pytorch recommender-system causal-inference ood-generalization www2022

Updated Dec 26, 2023
Python

YyzHarry / shortcut-ood-fairness

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[Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization

medical-imaging spurious-correlations shortcuts fairness subpopulation generalization algorithmic-fairness out-of-distribution bias-mitigation shortcut-learning ood-generalization nature-medicine

Updated Dec 19, 2023
Python

ananthu-aniraj / masking_strategies_bias_removal

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Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)

computer-vision deep-learning out-of-distribution ood-generalization

Updated Jul 1, 2024
Python

neurodata / value-of-ood-data

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The value of out-of-distribution data (ICML 2023)

machine-learning computer-vision statistical-learning ood-generalization

Updated May 27, 2023
Jupyter Notebook

Linxyhaha / CDR

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Causal Disentangled Recommendation Against Preference Shifts (TOIS), 2023

pytorch recommender-system ood-generalization invariant-learning

Updated Mar 28, 2023
Python

YyzHarry / vlm-fairness

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Demographic Bias of Vision-Language Foundation Models in Medical Imaging

medical-imaging fairness subpopulation algorithmic-fairness bias-mitigation ood-generalization foundation-models vision-language-pretraining vision-language-model

Updated Feb 23, 2024
Python

p-lambda / composed_finetuning

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Code for the ICML 2021 paper "Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization" by Sang Michael Xie, Tengyu Ma, Percy Liang

translation semi-supervised-learning image-generation structured-prediction ood-generalization