[CVPR 2024] Source code for "Diffusion-Based Adaptation for Classification of Unknown Degraded Images".
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Updated
Jun 11, 2024 - Python
[CVPR 2024] Source code for "Diffusion-Based Adaptation for Classification of Unknown Degraded Images".
[WACV 2024] Source code for "Consolidating separate degradations model via weights fusion and distillation".
Code for "Environment Diversification with Multi-head Neural Network for Invariant Learning" (NeurIPS 2022)
Code for the Conditional Mutual Information-Debiasing (CMID) method.
The value of out-of-distribution data (ICML 2023)
Evaluation of non-ROI masking to improve OOD generalization in chest x-ray disease classification
Mitigating Spurious Correlations for Self-supervised Recommendation
[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
Demographic Bias of Vision-Language Foundation Models in Medical Imaging
Causal Disentangled Recommendation Against Preference Shifts (TOIS), 2023
The value of out-of-distribution data (ICML 2023)
Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)
The Limits of Fair Medical Imaging AI In The Wild
Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)
Code for Mind the Label Shift of Augmentation-based Graph OOD generalization (LiSA) in CVPR 2023. LiSA is a model-agnostic Graph OOD framework.
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
This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).
Library for the training and evaluation of object-centric models (ICML 2022)
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