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A Tandem Learning Rule for Effective Training and Rapid Inference of
  Deep Spiking Neural Networks

A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks

2 July 2019
Jibin Wu
Yansong Chua
Malu Zhang
Guoqi Li
Haizhou Li
Kay Chen Tan
ArXivPDFHTML

Papers citing "A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks"

4 / 4 papers shown
Title
One Timestep is All You Need: Training Spiking Neural Networks with
  Ultra Low Latency
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency
Sayeed Shafayet Chowdhury
Nitin Rathi
Kaushik Roy
21
40
0
01 Oct 2021
Hyperparameter Optimization in Binary Communication Networks for
  Neuromorphic Deployment
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment
Maryam Parsa
Catherine D. Schuman
Prasanna Date
Derek C. Rose
Bill Kay
...
Steven R. Young
Ryan Dellana
William M. Severa
T. Potok
Kaushik Roy
18
4
0
21 Apr 2020
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech
  Recognition
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
Jibin Wu
Emre Yilmaz
Malu Zhang
Haizhou Li
Kay Chen Tan
25
104
0
19 Nov 2019
Spiking Deep Residual Network
Spiking Deep Residual Network
Yang‐Zhi Hu
Huajin Tang
Gang Pan
116
75
0
28 Apr 2018
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