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Exact Marginalization?? #3

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wlj6816 opened this issue Dec 26, 2018 · 2 comments
Open

Exact Marginalization?? #3

wlj6816 opened this issue Dec 26, 2018 · 2 comments

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@wlj6816
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wlj6816 commented Dec 26, 2018

It is confusing me that categorical attention with exact evidence sets inference_network_type not Nan.
In my option, categorical attention with exact evidence(Marginal Likelihood) is as follow:

image
the inference network produces the parameter of q(z) of variational attention.

@da03
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da03 commented Dec 26, 2018

Yeah, it was just a placeholder, q is actually not being used in that mode.

@wlj6816
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wlj6816 commented Dec 28, 2018

Yeah, it was just a placeholder, q is actually not being used in that mode.

Thank you very much. I am working on a similar task as your paper and need to compare our performance with your method. But you do not apply any of the commonly-utilized techniques to improve performance on VQA like "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering". I need some details of the experiences about VQA.
Could I get the code of VQA for this paper? Can I add your WeChat?

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