Environment Inference for Learning Generalizable Dynamical System (DynaInfer), NeurIPS 2025 Spotlight
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Oct 26, 2025 - Python
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ood-generalization
Here are 32 public repositories matching this topic...
Official code for the paper: "When and How Does CLIP Enable Domain and Compositional Generalization?" (ICML 2025 Spotlight)
machine-learning clip interpretability robustness ood-generalization mechanistic-interpretability vision-language-models
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May 19, 2025 - 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
Code for the Conditional Mutual Information-Debiasing (CMID) method.
deep-learning robustness conditional-mutual-information debiasing ood-generalization distribution-shift
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Feb 4, 2025 - 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
Mitigating Spurious Correlations for Self-supervised Recommendation
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Jun 23, 2023 - Python
Möbius Transform for Mitigating Perspective Distortions in Representation Learning (ECCV 2024)
computer-vision representation-learning research-paper dino self-supervised-learning simclr ood-generalization perspective-distortion distribution-shifts eccv2024
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Jun 28, 2025 - 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
Source Code for Our NeurIPS-2024 Paper "What Variables Affect Out-of-Distribution Generalization in Pretrained Models?"
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Dec 30, 2024 - Python
The official implementation of Delta Energy: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization (NeurIPS2025)
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Oct 13, 2025 - Python
Source Code for Our ICML-2025 Paper "Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning"
transfer-learning representation-learning robustness continual-learning ood-detection ood-generalization open-world-learning neural-collapse forward-transfer
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Jul 22, 2025 - 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
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Dec 28, 2021 - Python
[ICML 2025] OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
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Jun 6, 2025 - 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
Causal Disentangled Recommendation Against Preference Shifts (TOIS), 2023
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Mar 28, 2023 - Python
The value of out-of-distribution data (ICML 2023)
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Oct 31, 2024 - Python
[CVPR 2024] Improving out-of-distribution generalization in graphs via hierarchical semantic environments
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Apr 17, 2025 - Python
[NeurIPS 2025] Official code for "Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms"
transformers dynamic-programming attention-mechanism softmax tropical-geometry amoeba noise-robustness value-generation ood-generalization length-generalization neural-algorithmic-reasoning tropical-attention
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Oct 23, 2025 - Python
Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)
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Jul 3, 2025 - 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
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