You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
829 B
829 B
PyTorch-DANN
A pytorch implementation for paper Unsupervised Domain Adaptation by Backpropagation
InProceedings (icml2015-ganin15)
Ganin, Y. & Lempitsky, V.
Unsupervised Domain Adaptation by Backpropagation
Proceedings of the 32nd International Conference on Machine Learning, 2015
Environment
- Python 2.7
- PyTorch 0.3.1
Result
results of the default params.py
| MNIST (Source) | USPS (Target) | |
|---|---|---|
| Source Classifier | 99.140000% | 83.978495% |
| DANN | 97.634409% |