DSN
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Pytorch implementation of Domain Separation Networks
Hi, I was able to run the code and get a good result. But I noticed that the diff_loss is always zero even though the implementation of the DiffLoss function...
Hi,thx for your code, it is a good job,but i have meet some problems when i begin to train it.Hope you can give some advices to me thanks ~ And,...
Thanks for your nice codes! During my training, the loss of differences decrease to 0 within the first 100 steps and remain 0 afterwards. May I ask do you also...
Hi, I was reading the DSN paper and saw you codes here. Nice codes! But here I was wondering whether the loss codes in `train.py`'s line 189 & 245 should...
Hi,really thank you for your code,the code is just what I want.I want to ask you about the accuracy of the result.I do not know why I just get about...
I found that maybe there is a line of wrong code.  
If I read the paper rightly, the DiffLoss should become larger to make the shared feature different from private feature. So maybe the beta_weight should be a negative number rather...