Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs

9 April 2022

Papers citing "Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs"

6 / 6 papers shown

Title
MobileNetV4 - Universal Models for the Mobile Ecosystem Danfeng Qin Chas Leichner M. Delakis Marco Fornoni Shixin Luo ... Berkin Akin Vaibhav Aggarwal Tenghui Zhu Daniele Moro Andrew G. Howard MQ 30 86 0 16 Apr 2024
Arithmetic Intensity Balancing Convolution for Hardware-aware Efficient Block Design Shinkook Choi Junkyeong Choi 16 1 0 08 Apr 2023
Hardware-aware mobile building block evaluation for computer vision Maxim Bonnaerens Matthias Anton Freiberger Marian Verhelst J. Dambre 27 1 0 26 Aug 2022
Towards Optimal VPU Compiler Cost Modeling by using Neural Networks to Infer Hardware Performances Ian Frederick Vigogne Goodbody Hunter Alessandro Palla Sebastian Eusebiu Nagy R. Richmond Kyle McAdoo 19 2 0 09 May 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016