6.5k citations · 10.4k across the 118 of their papers we have counts for
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cs.NE2018
SqueezeNext: Hardware-Aware Neural Network Design
Amir Gholami, Kiseok Kwon, Bichen Wu +5
One of the main barriers for deploying neural networks on embedded systems has been large memory and power consumption of existing neural networks. In this work, we introduce Squee…
cs.NE2016★ 3 cited
A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications
Matthew W. Moskewicz, Ali Jannesari, Kurt Keutzer
In recent years, deep neural networks (DNNs), have yielded strong results on a wide range of applications. Graphics Processing Units (GPUs) have been one key enabling factor leadin…