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Why do you call the loss function ELBO? #8

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QtacierP opened this issue Oct 29, 2019 · 1 comment
Open

Why do you call the loss function ELBO? #8

QtacierP opened this issue Oct 29, 2019 · 1 comment

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@QtacierP
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Thanks for awsome codes and paper. However, I cannot formulate the first term in ELBO as the cross-entropy function which used in your loss function.

What's more, it is a little strange to add the cross-entropy related to the segmentation result from Z_q. Because the Q is generated from the ground-truth, and the S_q is from Z_q. Is it meaningful to only calculate the CE(Y, S_q) rather than CE(Y, S_p)? I mean that the model has gotten the ground-truth in training phase, it is unfair to calculate CE for this model.

@QtacierP QtacierP changed the title Why do you call the loss function as ELBO? Why do you call the loss function ELBO? Oct 29, 2019
@navy63
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navy63 commented Jan 20, 2020

这是唯一一个tensorflow写的看不懂的代码,

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