[IJCAI-2023] RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation

Prerequisites:

• python == 3.6.8
• pytorch ==1.1.0
• torchvision == 0.3.0
• numpy, scipy, sklearn, PIL, argparse, tqdm

Training:

Execute train_rain.py.

Method:

Results:

Citation

If you find this code useful for your research, please cite our paper

@inproceedings{ijcai2023p458,
  title     = {RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation},
  author    = {Peng, Qucheng and Ding, Zhengming and Lyu, Lingjuan and Sun, Lichao and Chen, Chen},
  booktitle = {Proceedings of the Thirty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-23}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Edith Elkind},
  pages     = {4118--4126},
  year      = {2023},
  month     = {8},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2023/458},
  url       = {https://doi.org/10.24963/ijcai.2023/458},
}