thuml/Xlearn thuml/Xlearn

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Repository Details

Transfer Learning Library

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.

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