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Pytorch implementation of Domain Separation Networks

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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. ![image](https://user-images.githubusercontent.com/54132689/85926066-53afe980-b8cf-11ea-99ec-a9a136016efa.png) ![image](https://user-images.githubusercontent.com/54132689/85926071-5ad6f780-b8cf-11ea-8554-22686c5a4513.png)

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...