Official code for the paper: "When and How Does CLIP Enable Domain and Compositional Generalization?" (ICML 2025 Spotlight)
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Updated
May 19, 2025 - Python
Official code for the paper: "When and How Does CLIP Enable Domain and Compositional Generalization?" (ICML 2025 Spotlight)
[ICML 2025] OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
Möbius Transform for Mitigating Perspective Distortions in Representation Learning (ECCV 2024)
Code for the Conditional Mutual Information-Debiasing (CMID) method.
Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
The value of out-of-distribution data (ICML 2023)
The official implementation of Delta Energy: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization (NeurIPS2025)
Environment Inference for Learning Generalizable Dynamical System (DynaInfer), NeurIPS 2025 Spotlight
Source Code for Our ICML-2025 Paper "Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning"
[WACV 2024] Domain Generalisation via Risk Distribution Matching
[NeurIPS 2025] Official code for "Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms"
Evaluation of non-ROI masking to improve OOD generalization in chest x-ray disease classification
[CVPR 2024] Source code for "Diffusion-Based Adaptation for Classification of Unknown Degraded Images".
Mitigating Spurious Correlations for Self-supervised Recommendation
Source Code for Our NeurIPS-2024 Paper "What Variables Affect Out-of-Distribution Generalization in Pretrained Models?"
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? (ICCV Workshops 2023)
[WACV 2024] Source code for "Consolidating separate degradations model via weights fusion and distillation".
[ECCV Workshops 2024] BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation
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
Implementation of the paper SAM-Deblur: Let Segment Anything Boost Image Deblurring(ICASSP2024)
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