ood-generalization

There are 24 repositories under ood-generalization 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

    58435261

  • Daniel-xsy/RoboBEV

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

    Language:Python306101132

  • YyzHarry/multi-domain-imbalance

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

    Language:Python1224615

  • YyzHarry/SubpopBench

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

    Language:Python9151111

  • addtt/object-centric-library

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

    Language:Python66344

  • Heathcliff-saku/ViewFool_

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

    Language:Python26232

  • HPLQAQ/SAM-Deblur

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

    Language:Python222

  • llyx97/sparse-and-robust-PLM

    [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

    Language:Python21102

  • Samyu0304/LiSA

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

    Language:Python16212

  • Linxyhaha/COR

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

    Language:Python14202

  • YyzHarry/shortcut-ood-fairness

    The Limits of Fair Medical Imaging AI In The Wild

    Language:Python11301

  • ananthu-aniraj/masking_strategies_bias_removal

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

    Language:Python9301

  • neurodata/value-of-ood-data

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

    Language:Jupyter Notebook8400

  • Linxyhaha/CDR

    Causal Disentangled Recommendation Against Preference Shifts (TOIS), 2023

    Language:Python7111

  • YyzHarry/vlm-fairness

    Demographic Bias of Vision-Language Foundation Models in Medical Imaging

    Language:Python7102

  • p-lambda/composed_finetuning

    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

    Language:Python5201

  • qkrdmsghk/GOODHSE

    [CVPR 2024] Improving out-of-distribution generalization in graphs via hierarchical semantic environments

    Language:Python3

  • basedrhys/non-roi-masking

    Evaluation of non-ROI masking to improve OOD generalization in chest x-ray disease classification

    Language:Jupyter Notebook1100

  • dineshdaultani/FusionDistill

    [WACV 2024] Source code for "Consolidating separate degradations model via weights fusion and distillation".

    Language:Python1200

  • estija/CMID

    Code for the Conditional Mutual Information-Debiasing (CMID) method.

    Language:Python1200

  • joe0123/EDNIL

    Code for "Environment Diversification with Multi-head Neural Network for Invariant Learning" (NeurIPS 2022)

    Language:Python1101

  • Laknath1996/value-of-ood-data

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

    Language:Jupyter Notebook1100

  • Linxyhaha/IFL

    Mitigating Spurious Correlations for Self-supervised Recommendation

    Language:Python1100

  • dineshdaultani/DiffAUD

    [CVPR 2024] Source code for "Diffusion-Based Adaptation for Classification of Unknown Degraded Images".

    Language:Python00