| CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features | May 13, 2019 | Domain GeneralizationImage Captioning | CodeCode Available | 1 |
| Diverse Weight Averaging for Out-of-Distribution Generalization | May 19, 2022 | DiversityOut-of-Distribution Generalization | CodeCode Available | 1 |
| Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation | Jun 14, 2024 | Domain AdaptationOut-of-Distribution Generalization | CodeCode Available | 1 |
| Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics | Sep 22, 2020 | Model OptimizationOut-of-Distribution Generalization | CodeCode Available | 1 |
| Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations | Jul 4, 2022 | NeRFNovel View Synthesis | CodeCode Available | 1 |
| DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation | Dec 17, 2020 | Domain GeneralizationImage Classification | CodeCode Available | 1 |
| Linear unit-tests for invariance discovery | Feb 22, 2021 | Out-of-Distribution Generalization | CodeCode Available | 1 |
| LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging | Oct 22, 2024 | Out-of-Distribution Generalization | CodeCode Available | 1 |
| From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection | May 19, 2025 | feature selectionOut-of-Distribution Generalization | CodeCode Available | 1 |
| How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad | Jun 10, 2024 | Out-of-Distribution Generalization | CodeCode Available | 1 |
