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Hanjie Qian

1 accepted papers

2024

Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?

ICLR 2024poster

Unsupervised domain adaptation (UDA) involves adapting a model trained on a label-rich source domain to an unlabeled target domain. However, in real-world scenarios, the absence of target-domain labels makes it challenging to evaluate the performance of UDA models. Furthermore, prevailing UDA method…

Cited by 13SourcePDFScholar