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UKPLab / gpl

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577
Apache License 2.0
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Loss function #15

Closed dli1 closed 2 years ago

dli1 commented 2 years ago

Is it a typo of having the minus sign "-" in the MarginMSE loss function in Equation (1) in the GPL paper?

There should be no minus sign "-". Because the model should minimize the MSE(delta_teacher, delta_student), not maximize it. I checked the released code of GPL, the loss function is without the minus sign "-".

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kwang2049 commented 2 years ago

Hi @dli1, thanks for pointing this out!

Yes, I think you are right and it seems like a typo. I will try to correct this at least in the ArXiv version. It might be too late for the NAACL version to be corrected.

dli1 commented 2 years ago

Great, now it's clear! Thanks for your confirmation.