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AnalogNAS: A Neural Network Design Framework for Accurate Inference with
  Analog In-Memory Computing

AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing

17 May 2023
Hadjer Benmeziane
C. Lammie
I. Boybat
M. Rasch
M. Le Gallo
H. Tsai
R. Muralidhar
Smail Niar
Hamza Ouarnoughi
V. Narayanan
A. Sebastian
K. E. Maghraoui
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Papers citing "AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing"

3 / 3 papers shown
Title
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural
  Accelerators with Application to Neural Architecture Search
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search
Zheyu Yan
Da-Cheng Juan
X. S. Hu
Yiyu Shi
30
24
0
06 Jul 2021
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
950
20,561
0
17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
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