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Quantization and Deployment of Deep Neural Networks on Microcontrollers

Quantization and Deployment of Deep Neural Networks on Microcontrollers

27 May 2021
Pierre-Emmanuel Novac
G. B. Hacene
Alain Pegatoquet
Benoit Miramond
Vincent Gripon
    MQ
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Papers citing "Quantization and Deployment of Deep Neural Networks on Microcontrollers"

10 / 10 papers shown
Title
Iteratively Training Look-Up Tables for Network Quantization
Iteratively Training Look-Up Tables for Network Quantization
Fabien Cardinaux
Stefan Uhlich
K. Yoshiyama
Javier Alonso García
Lukas Mauch
Stephen Tiedemann
Thomas Kemp
Akira Nakamura
MQ
63
16
0
12 Nov 2019
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network
  Inference at the Edge of the Internet of Things
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things
Xiaying Wang
Michele Magno
Lukas Cavigelli
Luca Benini
38
118
0
08 Nov 2019
Attention Based Pruning for Shift Networks
Attention Based Pruning for Shift Networks
G. B. Hacene
Carlos Lassance
Vincent Gripon
Matthieu Courbariaux
Yoshua Bengio
52
25
0
29 May 2019
Learned Step Size Quantization
Learned Step Size Quantization
S. K. Esser
J. McKinstry
Deepika Bablani
R. Appuswamy
D. Modha
MQ
55
792
0
21 Feb 2019
Deep $k$-Means: Jointly clustering with $k$-Means and learning
  representations
Deep kkk-Means: Jointly clustering with kkk-Means and learning representations
Maziar Moradi Fard
Thibaut Thonet
Éric Gaussier
42
236
0
26 Jun 2018
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
124
3,090
0
15 Dec 2017
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
133
4,342
0
16 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
118
7,448
0
24 Feb 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
203
8,793
0
01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
247
6,628
0
08 Jun 2015
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