19 citations · 22 across the 2 of their papers we have counts for
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cs.LG2021★ 3 cited
Revisiting Recursive Least Squares for Training Deep Neural Networks
Chunyuan Zhang, Qi Song, Hui Zhou +3
Recursive least squares (RLS) algorithms were once widely used for training small-scale neural networks, due to their fast convergence. However, previous RLS algorithms are unsuita…
cs.LG2020★ 19 cited
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs
Hao Xu, Shengqi Sang, Peizhen Bai +2
Heterogeneous graph representation learning aims to learn low-dimensional vector representations of different types of entities and relations to empower downstream tasks. Existing…