Code release for Transferable Curriculum for Weakly-Supervised Domain Adaptation (AAAI2019)

Overview

TCL

Code release for Transferable Curriculum for Weakly-Supervised Domain Adaptation (AAAI2019)

Dataset

Office-31 dataset, with 0.4 label noise

Requirements

  • Python 2.7
  • PyTorch 0.3

Training

bash trainAW.sh for Amazon(0.4 label noise)-> Webcam training
bash trainAD.sh for Amazon(0.4 label noise)-> Dslr training

Citation

If you use this code for your research, please consider citing:

@inproceedings{shu2019transferable,
  title={Transferable Curriculum for Weakly-Supervised Domain Adaptation},
  author={Shu, Yang and Cao, Zhangjie and Long, Mingsheng and Wang, Jianmin},
  year={2019},
  organization={AAAI}
}

Contact

If you have any problems about our code, feel free to contact

or describe your problem in Issues.

Owner
THUML @ Tsinghua University
Machine Learning Group, School of Software, Tsinghua University
THUML @ Tsinghua University
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