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Good work! I'm curious about Meta Early Exit Classifier in your paper.
And I have two questions:
1. Why should Mk(x) be trained on another unlabeled (limited) sample of task in-domain data? Why not use the data that is used to train F(x)?
2. Why do we need to calibrate the confidence thresholds(Tk)? Can we set 'T1=T2=...=Tk=a constant' ?
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The text was updated successfully, but these errors were encountered: