IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation
This research tackles challenges in unsupervised domain adaptation (UDA), where the goal is to perform well in a distribution shifted domain without labels. The authors develop an importance weighted group…
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