Comments (1)
Hi, if you only have 35 data points in the real world domain, you might need to design some prior knowledge to filter out synthesised data points. If you have more data from the real world domain, style transfer might be helpful if you are trying to transform the synthetic data to real data. Take a look at CycleGAN: https://junyanz.github.io/CycleGAN/
To use UDA on regression problem, you can simply replace the KL loss to MSE.
from uda.
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from uda.