2023
Towards Realizing the Value of Labeled Target Samples: A Two-Stage Approach for Semi-Supervised Domain Adaptation
ICASSP 2023accepted
Semi-Supervised Domain Adaptation (SSDA) is a recently emerging research topic that extends from the widely-investigated Unsupervised Domain Adaptation (UDA) by further having a few target samples labeled, i.e., the model is trained with labeled source samples, unlabeled target samples as well as a…