49 citations · 178 across the 10 of their papers we have counts for
Showing 2020Show all
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cs.CV2020★ 4 cited
Discovering Multi-Hardware Mobile Models via Architecture Search
Grace Chu, Okan Arikan, Gabriel Bender +7
Hardware-aware neural architecture designs have been predominantly focusing on optimizing model performance on single hardware and model development complexity, where another impor…
cs.CV2020★ 41 cited
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
Yunyang Xiong, Hanxiao Liu, Suyog Gupta +7
Inverted bottleneck layers, which are built upon depthwise convolutions, have been the predominant building blocks in state-of-the-art object detection models on mobile devices. In…
eess.SP2020★ 49 cited
Accelerator-aware Neural Network Design using AutoML
Suyog Gupta, Berkin Akin
While neural network hardware accelerators provide a substantial amount of raw compute throughput, the models deployed on them must be co-designed for the underlying hardware archi…