30 citations · 44 across the 11 of their papers we have counts for
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cs.LG2019★ 30 cited
Exascale Deep Learning for Scientific Inverse Problems
Nouamane Laanait, Joshua Romero, Junqi Yin +6
We introduce novel communication strategies in synchronous distributed Deep Learning consisting of decentralized gradient reduction orchestration and computational graph-aware grou…
cs.LG2019
A scalable constructive algorithm for the optimization of neural network architectures
Massimiliano Lupo Pasini, Junqi Yin, Ying Wai Li +1
We propose a new scalable method to optimize the architecture of an artificial neural network. The proposed algorithm, called Greedy Search for Neural Network Architecture, aims to…