Sydney Uni ---> PhD
KFUPM -------> MS
DANN PyTorch implementation with 2D toy example
Sydney Uni ---> PhD
KFUPM -------> MS
Sometimes I'm getting a low adaptation accuracy. I think what causes the low adaptation accuracy is that the class labels are swapped by the target encoder. This makes sense because it is an unsupervised task and the target encoder didn't see the class labels.
You can see in the attached image that the target encoder separates the classes well. But the class labels were swapped.
If you can think of a way how to align the class labels for the target encoder, please let me know.
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