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Everything about Transfer Learning and Domain Adaptation--迁移学习

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迁移学习 Transfer Learning

Awesome MIT License LICENSE

Everything about Transfer Learning (Probably the most complete repository?). Your contribution is highly valued! If you find this repo helpful, please cite it as follows:

关于迁移学习的所有资料,包括:介绍、综述文章、最新文章、代表工作及其代码、常用数据集、硕博士论文、比赛等等。(可能是目前最全的迁移学习资料库?) 欢迎一起贡献! 如果认为本仓库有用,请在你的论文和其他出版物中进行引用!

howpublished = {\url{}},   
title = {Everything about Transfer Learning and Domain Adapation},  
author = {Wang, Jindong and others}  
0.Latest Publications (最新论文) 1.Introduction and Tutorials (简介与教程)
2.Transfer Learning Areas and Papers (研究领域与相关论文) 3.Theory and Survey (理论与综述)
4.Code (代码) 5.Transfer Learning Scholars (著名学者)
6.Transfer Learning Thesis (硕博士论文) 7.Datasets and Benchmarks (数据集与评测结果)
8.Transfer Learning Challenges (迁移学习比赛) Applications (迁移学习应用)
Other Resources (其他资源) Contributing (欢迎参与贡献)


NOTE: You can directly open the code in Gihub Codespaces on the web to run them without downloading! See this figure:

0.Latest Publications (最新论文)

A good website to see the latest arXiv preprints by search: Transfer learning, Domain adaptation

一个很好的网站,可以直接看到最新的arXiv文章: Transfer learning, Domain adaptation

迁移学习文章汇总 Awesome transfer learning papers

更多 More...

1.Introduction and Tutorials (简介与教程)

Want to quickly learn transfer learning?想尽快入门迁移学习?看下面的教程。

2.Transfer Learning Areas and Papers (研究领域与相关论文)

Related articles by research areas:

Paperweekly: 一个推荐、分享论文的网站比较好,上面会持续整理相关的文章并分享阅读笔记。

3.Theory and Survey (理论与综述)

Here are some articles on transfer learning theory and survey.

Survey (综述文章):

Theory (理论文章):

4.Code (代码)

请见这里 | Please see HERE for some popular transfer learning codes.

See HERE for an instant run using Google's Colab.

5.Transfer Learning Scholars (著名学者)

Here are some transfer learning scholars and labs.


Please note that this list is far not complete. A full list can be seen in here. Transfer learning is an active field. If you are aware of some scholars, please add them here.

6.Transfer Learning Thesis (硕博士论文)

Here are some popular thesis on transfer learning.

这里, 提取码:txyz。

7.Datasets and Benchmarks (数据集与评测结果)

Please see HERE for the popular transfer learning datasets and benchmark results.


8.Transfer Learning Challenges (迁移学习比赛)

Applications (迁移学习应用)

See HERE for transfer learning applications.


Other Resources (其他资源)

Contributing (欢迎参与贡献)

If you are interested in contributing, please refer to HERE for instructions in contribution.

Copyright notice

[Notes]This Github repo can be used by following the corresponding licenses. I want to emphasis that it may contain some PDFs or thesis, which were downloaded by me and can only be used for academic purposes. The copyrights of these materials are owned by corresponding publishers or organizations. All this are for better adademic research. If any of the authors or publishers have concerns, please contact me to delete or replace them.


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