| ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness | Nov 29, 2018 | Domain GeneralizationImage Classification | CodeCode Available | 1 | 5 |
| 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 | 5 |
| AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty | Dec 5, 2019 | Domain Generalizationimage-classification | CodeCode Available | 1 | 5 |
| Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics | Sep 22, 2020 | Model OptimizationOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations | Jul 4, 2022 | NeRFNovel View Synthesis | CodeCode Available | 1 | 5 |
| DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation | Dec 17, 2020 | Domain GeneralizationImage Classification | CodeCode Available | 1 | 5 |
| Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization | Jun 28, 2023 | Graph LearningOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Gradient Starvation: A Learning Proclivity in Neural Networks | Nov 18, 2020 | Out-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others | Dec 9, 2022 | Domain GeneralizationImage Classification | CodeCode Available | 1 | 5 |
| Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection | Jun 28, 2023 | BenchmarkingData Augmentation | CodeCode Available | 1 | 5 |
