# Xlearn

**Repository Path**: mirrors_thuml/Xlearn

## Basic Information

- **Project Name**: Xlearn
- **Description**: Transfer Learning Library
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-01-11
- **Last Updated**: 2025-09-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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 
- longmingsheng@gmail.com
- youkaichao@gmail.com

or describe your problem in Issues.