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Compare to training on randomly selected samples #27

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bennyguo opened this issue Nov 20, 2019 · 2 comments
Closed

Compare to training on randomly selected samples #27

bennyguo opened this issue Nov 20, 2019 · 2 comments

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@bennyguo
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Do you guys try to compare the results of distilled data to the ones trained on randomly selected samples of the dataset?
For example, if I randomly select 10 images from the MNIST dataset (1 for each category) and train the network on them, how would the results be? I think it's a fundamental thing to compare with.

Very interesting work by the way!

@ssnl
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ssnl commented Nov 20, 2019

This comparison is in the paper. Thanks for your interest in our work. :)

@ssnl ssnl closed this as completed Nov 20, 2019
@bennyguo
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bennyguo commented Nov 21, 2019

Oh I must have missed it. Thanks.

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