33 citations · 44 across the 2 of their papers we have counts for
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cs.LG2022★ 33 cited
A Review of Sparse Expert Models in Deep Learning
William Fedus, Jeff Dean, Barret Zoph
Sparse expert models are a thirty-year old concept re-emerging as a popular architecture in deep learning. This class of architecture encompasses Mixture-of-Experts, Switch Transfo…
cs.LG2022★ 11 cited
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?
Yi Tay, Mostafa Dehghani, Samira Abnar +7
There have been a lot of interest in the scaling properties of Transformer models. However, not much has been done on the front of investigating the effect of scaling properties of…