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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Dec 28, 2021 - Python
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ood-generalization
Here are 33 public repositories matching this topic...
Evaluation of non-ROI masking to improve OOD generalization in chest x-ray disease classification
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Sep 30, 2022 - Jupyter Notebook
[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
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Jan 9, 2024 - Python
Code for "Environment Diversification with Multi-head Neural Network for Invariant Learning" (NeurIPS 2022)
machine-learning causality ood-generalization distributional-shift invariant-learning environment-inference
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Dec 19, 2022 - Python
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
deep-learning multi-domain ood imbalanced-data domain-adaptation imbalanced-learning long-tail eccv imbalance domain-generalization imbalanced-classification long-tailed-recognition multi-domain-learning ood-generalization eccv-2022
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Jan 26, 2023 - Python
Causal Disentangled Recommendation Against Preference Shifts (TOIS), 2023
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Mar 28, 2023 - Python
Library for the training and evaluation of object-centric models (ICML 2022)
objects representation-learning unsupervised-learning generalization object-centric ood-generalization distribution-shift structured-representations
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Apr 30, 2023 - Python
Mitigating Spurious Correlations for Self-supervised Recommendation
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Jun 23, 2023 - Python
Code for Mind the Label Shift of Augmentation-based Graph OOD generalization (LiSA) in CVPR 2023. LiSA is a model-agnostic Graph OOD framework.
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Jun 24, 2023 - Python
[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
benchmark spurious-correlations class-imbalance subpopulation icml subgroup out-of-distribution domain-generalization ood-generalization ood-robustness subpopulation-shift icml-2023
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Jul 10, 2023 - Python
This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).
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Dec 18, 2023 - Python
Implementation of the paper SAM-Deblur: Let Segment Anything Boost Image Deblurring(ICASSP2024)
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Dec 22, 2023 - Python
Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)
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Dec 26, 2023 - Python
[WACV 2024] Source code for "Consolidating separate degradations model via weights fusion and distillation".
computer-vision pytorch image-classification knowledge-distillation robustness domain-generalization degradation-models ood-generalization robustness-classifier
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Dec 27, 2023 - Python
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? (ICCV Workshops 2023)
computer-vision research-paper dino robustness self-supervised-learning byol simclr simsiam barlow-twins ood-generalization iccv2023 distribution-shifts
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Jan 1, 2024 - Jupyter Notebook
[KDD 2023] Causal Inference via Style Transfer for Out-of-distribution Generalisation
deep-neural-networks ai deep-learning causality causal-inference domain-adaptation domain-generalization ood-detection ood-generalization
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Feb 29, 2024 - Python
[CVPR 2024] Source code for "Diffusion-Based Adaptation for Classification of Unknown Degraded Images".
computer-vision pytorch image-classification knowledge-distillation robustness diffusion-models degradation-models ood-generalization generative-ai robustness-classifier
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Jul 2, 2024 - Python
[WACV 2024] Domain Generalisation via Risk Distribution Matching
ai deep-learning causality causal-inference domain-adaptation domain-generalization ood-detection ood-generalization
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Sep 19, 2024 - Python
The value of out-of-distribution data (ICML 2023)
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Oct 31, 2024 - Python
[ECCV Workshops 2024] BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation
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Nov 23, 2024 - Python
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