junkunyuan/Awesome-Domain-Generalization
A curated list of papers, code, and datasets on domain generalization in machine learning.
★544 stars Learning
Collecting fresh signals — velocity needs a few days of history.
star history
The repository collects resources on domain generalization, including surveys, theory, datasets, and research papers with code. It organizes methods by approach, such as domain alignment, data augmentation, meta-learning, self-supervised learning, and causality-based techniques, and covers settings like federated, source-free, and open domain generalization.
Frequently asked
- What is junkunyuan/Awesome-Domain-Generalization?
- A curated list of papers, code, and datasets on domain generalization in machine learning.
- Is Awesome-Domain-Generalization open source?
- Yes — junkunyuan/Awesome-Domain-Generalization is an open-source project tracked on heatdrop.
- How popular is Awesome-Domain-Generalization?
- junkunyuan/Awesome-Domain-Generalization has 544 stars on GitHub.
- Where can I find Awesome-Domain-Generalization?
- junkunyuan/Awesome-Domain-Generalization is on GitHub at https://github.com/junkunyuan/Awesome-Domain-Generalization.