18 citations · 111 across the 34 of their papers we have counts for
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cs.LG2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training
Kaixiong Zhou, Ninghao Liu, Fan Yang +5
Graph neural networks (GNNs), which learn the node representations by recursively aggregating information from its neighbors, have become a predominant computational tool in many d…
cs.CV2021★ 1 cited
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization
Zirui Liu, Haifeng Jin, Ting-Hsiang Wang +2
Human-designed data augmentation strategies have been replaced by automatically learned augmentation policy in the past two years. Specifically, recent work has empirically shown t…