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Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold
  Processors

Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors

19 April 2023
Zichao Shen
Neil Howard
J. Núñez-Yáñez
ArXivPDFHTML

Papers citing "Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors"

6 / 6 papers shown
Title
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Pierre-Emmanuel Novac
G. B. Hacene
Alain Pegatoquet
Benoit Miramond
Vincent Gripon
MQ
55
119
0
27 May 2021
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
67
118
0
08 Nov 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with
  Edge Computing
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Zhi Zhou
Xu Chen
En Li
Liekang Zeng
Ke Luo
Junshan Zhang
90
1,440
0
24 May 2019
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
150
3,130
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
170
4,357
0
16 Mar 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
189
1,347
0
08 Feb 2016
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