/transferlearning

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

Primary LanguagePythonMIT LicenseMIT

迁移学习 Transfer Learning

Awesome MIT License LICENSE 996.icu

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!

@Misc{transferlearning.xyz,
howpublished = {\url{http://transferlearning.xyz}},   
title = {Everything about Transfer Learning and Domain Adapation},  
author = {Wang, Jindong and others}  
}  
Contents
0.Papers (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)

关于机器学习和行为识别的资料,请参考:行为识别机器学习


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

0.Papers (论文)

Latest papers (2021-07-16)

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:

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)

Unified codebases for:

More: see HERE and 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.

全部列表以及代表工作性见这里

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.

这里整理了常用的公开数据集和一些已发表的文章在这些数据集上的实验结果。


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


Applications (迁移学习应用)

See HERE for transfer learning applications.

迁移学习应用请见这里


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.

[文章版权声明]这个仓库可以遵守相关的开源协议进行使用。这个仓库中包含有很多研究者的论文、硕博士论文等,都来源于在网上的下载,仅作为学术研究使用。我对其中一些文章都写了自己的浅见,希望能很好地帮助理解。这些文章的版权属于相应的出版社。如果作者或出版社有异议,请联系我进行删除。一切都是为了更好地学术!