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Recalculate curricula after retraining? #2

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lfb-1 opened this issue Sep 15, 2021 · 0 comments
Open

Recalculate curricula after retraining? #2

lfb-1 opened this issue Sep 15, 2021 · 0 comments

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@lfb-1
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lfb-1 commented Sep 15, 2021

Hi, I am wondering do you recalculate the loss for remaining unlabeled samples after retraining the model? From the paper algorithm description seems the method does not recalculate. That is, the training curriculum follows the very first-time model pattern that training only on the original label set? Could you help me confirm this?
adamtupper pushed a commit to adamtupper/curriculum-labeling that referenced this issue Feb 24, 2023
Fix non-printable character filtering uvavision#2.
0c74562
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