Transfer learning and Domain Adaptation

Our lab’s research focuses on developing robust domain adaptation techniques to address distribution shifts. These contributions span unsupervised domain adaptation (UDA) for classification and regression. Below are the key methodological contributions: 

Continual Test-Time Domain Adaptation

Integrating Expert Knowledge with Domain Adaptation

Open-Set Domain Adaptation

Domain Adaptation for Regression