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A PyTorch implementation for paper Unsupervised Domain Adaptation by Backpropagation
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README.md

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 2.7/3.6
  • PyTorch 0.3.1post2

Result

results of the default params.py

SVHN (Source) MNIST (Target)
Source Classifier 92.92% 68.66%
DANN ----%

Other implementations

Credit