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PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural
  Networks

PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks

29 March 2024
Marina Neseem
Conor McCullough
Randy Hsin
Chas Leichner
Shan Li
In Suk Chong
Andrew G. Howard
Lukasz Lew
Sherief Reda
Ville Rautio
Daniele Moro
    MQ
ArXivPDFHTML

Papers citing "PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks"

3 / 3 papers shown
Title
ShiftAddNet: A Hardware-Inspired Deep Network
ShiftAddNet: A Hardware-Inspired Deep Network
Haoran You
Xiaohan Chen
Yongan Zhang
Chaojian Li
Sicheng Li
Zihao Liu
Zhangyang Wang
Yingyan Lin
OOD
MQ
50
75
0
24 Oct 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
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
948
20,214
0
17 Apr 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
242
35,884
0
25 Aug 2016
1