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S$^3$NN: Time Step Reduction of Spiking Surrogate Gradients for Training
  Energy Efficient Single-Step Spiking Neural Networks

S3^33NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks

26 January 2022
Kazuma Suetake
Shin-ichi Ikegawa
Ryuji Saiin
Yoshihide Sawada
ArXivPDFHTML

Papers citing "S$^3$NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks"

5 / 5 papers shown
Title
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Byunggook Na
J. Mok
Seongsik Park
Dongjin Lee
Hyeokjun Choe
Sungroh Yoon
47
63
0
30 Jan 2022
A comprehensive review of Binary Neural Network
A comprehensive review of Binary Neural Network
Chunyu Yuan
S. Agaian
MQ
45
95
0
11 Oct 2021
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking
  Neural Networks
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks
Yukun Yang
Wenrui Zhang
Peng Li
AAML
116
25
0
22 Jun 2021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking
  Neural Networks
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Shi-Wee Deng
Shi Gu
121
200
0
28 Feb 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike
  Timing Dependent Backpropagation
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
Nitin Rathi
G. Srinivasan
Priyadarshini Panda
Kaushik Roy
124
294
0
04 May 2020
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