This is a repository for organizing articles related to domain adaptation and domain generalization, OOD. [toc]
- OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms NIPS2021-arxiv
- Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning CVPR2021
- Self-Supervised Test-Time Learning for Reading Comprehension NAACL 2021
- Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision
- Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation NIPS2021-arxiv
- Parameter-free Online Test-time Adaptation
- OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift MIDL 2022