12 citations · 12 across the 2 of their papers we have counts for
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cs.LG2022
Boosting Active Learning via Improving Test Performance
Tianyang Wang, Xingjian Li, Pengkun Yang +5
Central to active learning (AL) is what data should be selected for annotation. Existing works attempt to select highly uncertain or informative data for annotation. Nevertheless,…
cs.LG2019
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective
Lili Su, Pengkun Yang
We consider training over-parameterized two-layer neural networks with Rectified Linear Unit (ReLU) using gradient descent (GD) method. Inspired by a recent line of work, we study…