Comments (2)
carlini
commented on August 16, 2024
1
You're definitely right comparing to the fully-supervised baseline is important! This is one of the points of Oliver et al, and the reason we don't report this result in our paper is because they already try to optimize fully-supervised accuracy for few-labeled examples. The best they were able to achieve with 4,000 labeled examples (using a large ShakeShake model, a much better model than our ResNet) was 13.4% error, compared to the 6.24% error of MixMatch---and 11.08% error with just 250 labeled examples.
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Shubhammawa
commented on August 16, 2024
Understood.
Thanks a lot!
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Related Issues (20)
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