Why the paper says the kernel devolves to mean pooling when σ becomes infinity?

AdeDZY / K-NRM

K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling

BSD 3-Clause "New" or "Revised" License

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Why the paper says the kernel devolves to mean pooling when σ becomes infinity? #19

Open Inferior-Gentleman opened 3 years ago

Inferior-Gentleman commented 3 years ago

Mean pooling is the average of the all words' sum, but when σ becomes infinity, the kernal's output is zero because of exp's nature. What's the correlation between them?

Rothsword commented 2 years ago

@Inferior-Gentleman Have you found the answer？I have the same question

heyubox commented 1 year ago

I have the same question as well