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
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Updated
Aug 12, 2024
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
RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
Library for the training and evaluation of object-centric models (ICML 2022)
This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).
Implementation of the paper SAM-Deblur: Let Segment Anything Boost Image Deblurring(ICASSP2024)
[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
[Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization
Code for Mind the Label Shift of Augmentation-based Graph OOD generalization (LiSA) in CVPR 2023. LiSA is a model-agnostic Graph OOD framework.
Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)
Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)
Demographic Bias of Vision-Language Foundation Models in Medical Imaging
The value of out-of-distribution data (ICML 2023)
Causal Disentangled Recommendation Against Preference Shifts (TOIS), 2023
[CVPR 2024] Improving out-of-distribution generalization in graphs via hierarchical semantic environments
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
[CVPR 2024] Source code for "Diffusion-Based Adaptation for Classification of Unknown Degraded Images".
Code for "Environment Diversification with Multi-head Neural Network for Invariant Learning" (NeurIPS 2022)
Code for the Conditional Mutual Information-Debiasing (CMID) method.
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