Improved Universal Adaptation Network (I-UAN)

Code release for Pseudo-Margin-Based Universal Domain Adaptation (Knowledge-Based Systems, 2021, IF: 8.139)

• All rights reserved by Yueming Yin, Email: [email protected] (or [email protected]).

Requirements

• python 3.6+
• PyTorch 1.0

pip install -r requirements.txt

Usage

• download datasets

• write your config file

• python main.py --config train-config.yaml

• train (configurations in officehome-train-config.yaml are only for officehome dataset):

  python main.py --config train-config.yaml

• test

  python main.py --config test-config.yaml

• monitor (tensorboard required)

  tensorboard --logdir .

Ciatation

Please cite:

@article{yin2021pseudo,
  title={Pseudo-margin-based universal domain adaptation},
  author={Yin, Yueming and Yang, Zhen and Wu, Xiaofu and Hu, Haifeng},
  journal={Knowledge-Based Systems},
  volume={229},
  pages={107315},
  year={2021},
  publisher={Elsevier}
}

or

Yin, Yueming, Zhen Yang, Xiaofu Wu, and Haifeng Hu. "Pseudo-margin-based universal domain adaptation." Knowledge-Based Systems 229 (2021): 107315.

Contact

• [email protected] (Yueming Yin)