A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
I can't get expected result in this code of current version, need reinforcement.
| MNIST (Source) | USPS (Target) | |
|---|---|---|
| Generator + Encoder | 98.44167% | 88.70664% |
corenel/pytorch-arda
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