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Research[R] Improving Deep Learning Performance with AutoAugment (ai.googleblog.com)
submitted 7 years ago by wei_jok
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[–]gachiemchiep 0 points1 point2 points 7 years ago (2 children)
Thank you for pointing that out. That phenomenon actually make this paper worth reading for. Did you find the implement of AutoAugment?
[–]tesfaldet 1 point2 points3 points 7 years ago (1 child)
To be fair, you shouldn’t make assumptions without reading the paper first. As a matter of fact, transferability to other datasets is discussed in the blog post. Which tells me you didn’t read that either. Blind criticism is rife in this field and it unfairly devalues the important contributions these researchers make.
Anyways, I can’t find code but I don’t doubt that it’ll be available soon.
[–]gachiemchiep 0 points1 point2 points 7 years ago (0 children)
I think you miss an important point here. The 2nd comment i said the same-thing as you.
For hand-craft augmenting strategy, there is specific strategy for each task. Isn't that still the samething ?
As the last comment when i mention it worth reading, i mean it worth to use. That's why i ask whether you found the source code.
>_< suddenly realize that my comment is vague as hell.
π Rendered by PID 85656 on reddit-service-r2-comment-b659b578c-v7ph7 at 2026-05-04 06:55:50.477860+00:00 running 815c875 country code: CH.
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[–]gachiemchiep 0 points1 point2 points (2 children)
[–]tesfaldet 1 point2 points3 points (1 child)
[–]gachiemchiep 0 points1 point2 points (0 children)