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Does the LOSS_CONSISTENCY help? #2

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John-zf opened this issue Jul 13, 2021 · 2 comments
Open

Does the LOSS_CONSISTENCY help? #2

John-zf opened this issue Jul 13, 2021 · 2 comments

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@John-zf
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John-zf commented Jul 13, 2021

I found the LOSS_CONSISTENCY in your code, however it is not appeared in your paper. I have run the code on my own dataset, but it seems that the LOSS_CONSISTENCY is not stable. Does the LOSS_CONSISTENCY mean to minimize the difference the joint distribution and the marginal distributions of the multiple variational encoders?

@chl8856
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chl8856 commented Jul 13, 2021

Hello,
LOSS_CONSISTENCY was first intended to improve the stability of the learning by encouraging the network to share information across different views. (This is achieved by constraining the joint and the marginal distributions similar). However, it was not helpful in the current form, and thus, not used for experiments in the paper.

@John-zf
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John-zf commented Jul 23, 2021

Hello,
LOSS_CONSISTENCY was first intended to improve the stability of the learning by encouraging the network to share information across different views. (This is achieved by constraining the joint and the marginal distributions similar). However, it was not helpful in the current form, and thus, not used for experiments in the paper.

thx!

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