PyTorch implementation for Domain agnostic learning with disentangled representations (ICML2019 Long Oral). This repository contains some code from Maximum Classifier Discrepancy for Domain Adaptation. If you find this repository useful for you, please also consider cite the MCD paper!

The code has been tested on Python 3.6+PyTorch 0.3 and Python 3.6+PyTorch 0.41. To run the training and testing code, use the following script:

python main.py --source=mnist --recordfolder=agnostic_disentangle --gpu=0

The poster of this paper can be found with the link: poster

The Oral presentation of this paper in ICML2019 can be found with the link: Oral Presentation

If you use this code for your research, please cite our paper:

@inproceedings{Peng2019DomainAL,
  title={Domain Agnostic Learning with Disentangled Representations},
  author={Xingchao Peng and Zijun Huang and Ximeng Sun and Kate Saenko},
  booktitle={ICML},
  year={2019}
}