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Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML 2019)
Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML 2019)
Dataset
VisDA-2017
Multi-Domain Sentiment
Requirements
- python 2.7
- PyTorch 0.4
- Tensorflow >= 1.0
- Tensorlayer >= 1.11
- Tensorboard
Usage
- download datasets
- extract feature representations
- train
python XXX.py - monitor
tensorboard --logdir .
Citation
please cite:
@InProceedings{TAT_2019_ICML,
author = {Liu, Hong and Long, Mingsheng and Wang, Jianmin and Jordan, Michael I.},
title = {Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers},
booktitle = {Proceedings of the 36th International Conference on Machine Learning},
month = {June},
year = {2019}
}
Reference codes
https://github.com/thuml/easydl