most citedTowards Accurate and Robust Domain Adaptation under Noisy Environments

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2020★ 2 cited

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…