Jung Eun Kwon

Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy

The motivation of the semi-supervised domain adaptation (SSDA) is to train a model by leveraging knowledge acquired from the plentiful labeled source combined with extremely scarce labeled target data to achieve the lowest error on the unlabeled target data at the testing time. However, due to inter…