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
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Updated
Dec 28, 2021 - Python
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
Evaluation of non-ROI masking to improve OOD generalization in chest x-ray disease classification
[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 "Environment Diversification with Multi-head Neural Network for Invariant Learning" (NeurIPS 2022)
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
Causal Disentangled Recommendation Against Preference Shifts (TOIS), 2023
Library for the training and evaluation of object-centric models (ICML 2022)
The value of out-of-distribution data (ICML 2023)
The value of out-of-distribution data (ICML 2023)
Mitigating Spurious Correlations for Self-supervised Recommendation
Code for Mind the Label Shift of Augmentation-based Graph OOD generalization (LiSA) in CVPR 2023. LiSA is a model-agnostic Graph OOD framework.
[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
Code for the Conditional Mutual Information-Debiasing (CMID) method.
This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).
[Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization
Implementation of the paper SAM-Deblur: Let Segment Anything Boost Image Deblurring(ICASSP2024)
Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)
[WACV 2024] Source code for "Consolidating separate degradations model via weights fusion and distillation".
Demographic Bias of Vision-Language Foundation Models in Medical Imaging
[CVPR 2024] Improving out-of-distribution generalization in graphs via hierarchical semantic environments
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