Code for the Conditional Mutual Information-Debiasing (CMID) method.
-
Updated
Feb 4, 2025 - Python
Code for the Conditional Mutual Information-Debiasing (CMID) method.
Official code for the paper: "When and How Does CLIP Enable Domain and Compositional Generalization?" (ICML 2025 Spotlight)
Möbius Transform for Mitigating Perspective Distortions in Representation Learning (ECCV 2024)
[ICML 2025] OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
[WACV 2024] Domain Generalisation via Risk Distribution Matching
The value of out-of-distribution data (ICML 2023)
Environment Inference for Learning Generalizable Dynamical System (DynaInfer), NeurIPS 2025 Spotlight
The official implementation of Delta Energy: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization (NeurIPS2025)
Source Code for Our ICML-2025 Paper "Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning"
[NeurIPS 2025] Official code for "Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms"
Mitigating Spurious Correlations for Self-supervised Recommendation
Source Code for Our NeurIPS-2024 Paper "What Variables Affect Out-of-Distribution Generalization in Pretrained Models?"
[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".
[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)
Code for "Environment Diversification with Multi-head Neural Network for Invariant Learning" (NeurIPS 2022)
Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)
Causal Disentangled Recommendation Against Preference Shifts (TOIS), 2023
Add a description, image, and links to the ood-generalization topic page so that developers can more easily learn about it.
To associate your repository with the ood-generalization topic, visit your repo's landing page and select "manage topics."