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is it possible to explain a black box model with Shapley networks? #3

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unnir opened this issue Aug 2, 2021 · 2 comments
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@unnir
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unnir commented Aug 2, 2021

Is it possible to explain a black box model with Shapley networks?
Suppose, I have a trained CNN model, and I want to get feature attributions for a single image from IMAGENET data set.

@RuiWang1998
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Hi,

Thanks for your question. ShapNet has been designed to be an intrinsic explanation model, which means that it explains itself and only itself by design.

However, you could learn a ShapNet that mimic the behavior of your model of choice, which could work in theory, but we have no idea how well.

Best.

@unnir
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unnir commented Aug 18, 2021

Thank you for your answer! Also, I think the paper 👍

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