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…