Awesome
Xlearn (Obsolete, upgraded to https://github.com/thuml/Transfer-Learning-Library)
Transfer Learning Library
This is the transfer learning library for the following paper:
Learning Transferable Features with Deep Adaptation Networks
Unsupervised Domain Adaptation with Residual Transfer Networks
Deep Transfer Learning with Joint Adaptation Networks
The tensorflow versions are under developing.
Citation
If you use this code for your research, please consider citing:
@inproceedings{DBLP:conf/icml/LongC0J15,
author = {Mingsheng Long and
Yue Cao and
Jianmin Wang and
Michael I. Jordan},
title = {Learning Transferable Features with Deep Adaptation Networks},
booktitle = {Proceedings of the 32nd International Conference on Machine Learning,
{ICML} 2015, Lille, France, 6-11 July 2015},
pages = {97--105},
year = {2015},
crossref = {DBLP:conf/icml/2015},
url = {http://jmlr.org/proceedings/papers/v37/long15.html},
timestamp = {Tue, 12 Jul 2016 21:51:15 +0200},
biburl = {http://dblp2.uni-trier.de/rec/bib/conf/icml/LongC0J15},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
@inproceedings{DBLP:conf/nips/LongZ0J16,
author = {Mingsheng Long and
Han Zhu and
Jianmin Wang and
Michael I. Jordan},
title = {Unsupervised Domain Adaptation with Residual Transfer Networks},
booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference
on Neural Information Processing Systems 2016, December 5-10, 2016,
Barcelona, Spain},
pages = {136--144},
year = {2016},
crossref = {DBLP:conf/nips/2016},
url = {http://papers.nips.cc/paper/6110-unsupervised-domain-adaptation-with-residual-transfer-networks},
timestamp = {Fri, 16 Dec 2016 19:45:58 +0100},
biburl = {http://dblp.uni-trier.de/rec/bib/conf/nips/LongZ0J16},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
@inproceedings{DBLP:conf/icml/LongZ0J17,
author = {Mingsheng Long and
Han Zhu and
Jianmin Wang and
Michael I. Jordan},
title = {Deep Transfer Learning with Joint Adaptation Networks},
booktitle = {Proceedings of the 34th International Conference on Machine Learning,
{ICML} 2017, Sydney, NSW, Australia, 6-11 August 2017},
pages = {2208--2217},
year = {2017},
crossref = {DBLP:conf/icml/2017},
url = {http://proceedings.mlr.press/v70/long17a.html},
timestamp = {Tue, 25 Jul 2017 17:27:57 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/conf/icml/LongZ0J17},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
Contact
If you have any problem about our code, feel free to contact
or describe your problem in Issues.