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About loss function #7

@xuedue

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@xuedue

Hello author, I have a few questions about the loss function in your paper.

For NLL loss, it is required the z after inn to be standard normal, but in your code, it seems to be setting the z before feeding inn to be standard normal

Also I don't understand the meaning of the last term of the loss, the first two terms mean that the distribution of z before feeding into inn is consistent with the distribution of xa and xb

For datasets, how do I select attributes that share common features, e.g. I filtered the dataset of faces with glasses, can I use the same dataset of faces with glasses for xa and xb?

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