4 citations · 18 across the 9 of their papers we have counts for
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cs.LG2023★ 1 cited
AdaSelection: Accelerating Deep Learning Training through Data Subsampling
Minghe Zhang, Chaosheng Dong, Jinmiao Fu +8
In this paper, we introduce AdaSelection, an adaptive sub-sampling method to identify the most informative sub-samples within each minibatch to speed up the training of large-scale…
cs.LG2021★ 4 cited
Learning Prototype-oriented Set Representations for Meta-Learning
Dandan Guo, Long Tian, Minghe Zhang +2
Learning from set-structured data is a fundamental problem that has recently attracted increasing attention, where a series of summary networks are introduced to deal with the set…
cs.LG2020★ 4 cited
Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling
Shixiang Zhu, Ruyi Ding, Minghe Zhang +2
We present a novel framework for modeling traffic congestion events over road networks. Using multi-modal data by combining count data from traffic sensors with police reports that…