12 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 12 cited
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion
Xian-Jin Gui, Wei Wang, Zhang-Hao Tian
Deep neural networks need large amounts of labeled data to achieve good performance. In real-world applications, labels are usually collected from non-experts such as crowdsourcing…
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…