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
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Updated
Nov 10, 2024
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
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)
[Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization
[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
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)
Demographic Bias of Vision-Language Foundation Models in Medical Imaging
Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)
Causal Disentangled Recommendation Against Preference Shifts (TOIS), 2023
The value of out-of-distribution data (ICML 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".
Möbius Transform for Mitigating Perspective Distortions in Representation Learning (ECCV 2024)
Code for "Environment Diversification with Multi-head Neural Network for Invariant Learning" (NeurIPS 2022)
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