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YanchaoYang avatar YanchaoYang commented on September 6, 2024

Yes, the interpretation in Tab1 is correct. Generally, entropy minimization is used for semi-supervised learning. However, it could also be used for unsupervised domain adaptation, when two domains are nearly aligned. In this case, you can think of the source data together with its labels as the labeled data in the semi-supervised setting. So in practice, to use entropy minimization properly, you may want to enable it after some alignment has been performed.

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jxhuang0508 avatar jxhuang0508 commented on September 6, 2024

Understood, thanks for your reply!

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