Domain Adaptation Through Label Propagation: Learning Clustered and Aligned Features

Introduction

This is the implementation of "Domain Adaptation Through Label Propagation: Learning Clustered and Aligned Features". It includes all experiments reported in the paper.

Requirements

• Python 3.6
• TensorFlow 1.13

Citation

If you use the ideas or method presented in the paper, please consider to cite:

@article{yoo2019learning,
  title={Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation},
  author={Yoo, Jaeyoon and Park, Changhwa and Hong, Yongjun and Yoon, Sungroh},
  journal={arXiv preprint arXiv:1903.04860},
  year={2019}
}