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Thanks for sharing the source code!
But I have some questions here:
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In
adda/tools/train_adda.pyline88-103: seems that you set source domain label as 1, and target domain label as 0? But here source distribution is fixed, while target distribution is updated. According to the original setting in the GAN paper, the changing one should have the zero label. And the equation (9) in the ADDA paper also shows that the ground truth label of source should be 1. -
How do you separate your encoder and classifier in the base model? In the paper, it seems that the encoder only contains CNN. But, in the code seems that you take the whole network as a encoder, then where is the classifier?
Thanks for your time. Looking forward to your response.
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