Transfer Learning Library
The transfer learning library for the following paper:
- Learning Transferable Features with Deep Adaptation Networks (DAN)
- Unsupervised Domain Adaptation with Residual Transfer Networks (JAN)
- Deep Transfer Learning with Joint Adaptation Networks (RTN)
This package will include Caffe,PyTorch and TensorFlow implementations for transfer learning.
The pytorch and tensorflow versions are under developing.
The code was written by Han Zhu, Zhangjie Cao, Shichen Liu and Mingsheng Long.
Refer to Xlearn on Caffe to get started with our Caffe version.
In caffe/data/office/*.txt, we give the lists of three domains in Office dataset.
We have published the Image-Clef dataset we use here.
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}
}
If you have any problem about our code, feel free to contact
or describe your problem in Issues.