Yoshitaka Ushiku

Asymmetric Tri-training for Unsupervised Domain Adaptation

2017 · arXiv (Cornell University)

Deep-layered models trained on a large number of labeled samples boost the accuracy of many tasks. It is important to apply such models to different domains because collecting many labeled samples in various domains is …