5 citations · 15 across the 9 of their papers we have counts for
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cs.LG2023★ 1 cited
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
Wenfang Sun, Yingjun Du, Xiantong Zhen +3
Meta-learning algorithms are able to learn a new task using previously learned knowledge, but they often require a large number of meta-training tasks which may not be readily avai…
cs.LG2022★ 1 cited
HiGNN: Hierarchical Informative Graph Neural Networks for Molecular Property Prediction Equipped with Feature-Wise Attention
Weimin Zhu, Yi Zhang, DuanCheng Zhao +2
Elucidating and accurately predicting the druggability and bioactivities of molecules plays a pivotal role in drug design and discovery and remains an open challenge. Recently, gra…
cs.LG2012★ 5 cited
Total Variation and Euler's Elastica for Supervised Learning
Tong Lin, Hanlin Xue, Ling Wang +1
In recent years, total variation (TV) and Euler's elastica (EE) have been successfully applied to image processing tasks such as denoising and inpainting. This paper investigates h…