Towards Accurate and Robust Domain Adaptation under Noisy Environments

Zhongyi Han, Xian-Jin Gui, Chaoran Cui +1

In non-stationary environments, learning machines usually confront the domain adaptation scenario where the data distribution does change over time. Previous domain adaptation work…