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Without recitfying pseudo label in Stage 2 #25

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yihong-97 opened this issue Mar 25, 2022 · 1 comment
Open

Without recitfying pseudo label in Stage 2 #25

yihong-97 opened this issue Mar 25, 2022 · 1 comment

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@yihong-97
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If I want to run the code without rectifying the pseudo label, I am confused that why in stage 2 the loss weight lambda-kl-target is set to 0? (From README)
From Eq.9 of the IJCAI2020 paper, I understand the KL-divergence loss is should be used.
Thanks
@layumi
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layumi commented Mar 26, 2022

If you want to run the code without rectifying pseudo label, please change [this line] to 'from trainer_ms import AD_Trainer', which would apply the conventional pseudo label learning.

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@layumi @yihong-97