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How data augmentation is applied to tabular data? #2

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hellowangqian opened this issue Jan 15, 2022 · 2 comments
Closed

How data augmentation is applied to tabular data? #2

hellowangqian opened this issue Jan 15, 2022 · 2 comments

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@hellowangqian
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Hi author, thanks for sharing the code. I'm wondering how data augmentation strategies like mix-up, cut-out, cut-mix, etc., can be applied to tabular data (I understand they are usually applied to images though). Please advise, many thanks.

@perschi
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perschi commented Mar 14, 2022

When digging through the code, I found that the authors refer to CutOut and
CutMix. In these two files, you can see that they replace random columns with zero or replace them with values from a random other sample in the batch.

@ArlindKadra
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as @perschi nicely mentioned, you could additionally find MixUp here. Basically, since we are not using an image anymore and there is no information related to neighboring features, we select features randomly.

Let me know if there is something else that is unclear :).

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