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SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking
  Neural Networks

SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks

19 June 2022
Jianxiong Tang
Jianhuang Lai
Xiaohua Xie
Lingxiao Yang
Weimin Zheng
ArXivPDFHTML

Papers citing "SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks"

5 / 5 papers shown
Title
Temporal Efficient Training of Spiking Neural Network via Gradient
  Re-weighting
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Shi-Wee Deng
Yuhang Li
Shanghang Zhang
Shi Gu
129
243
0
24 Feb 2022
Optimized Potential Initialization for Low-latency Spiking Neural
  Networks
Optimized Potential Initialization for Low-latency Spiking Neural Networks
Tong Bu
Jianhao Ding
Zhaofei Yu
Tiejun Huang
104
89
0
03 Feb 2022
Training Feedback Spiking Neural Networks by Implicit Differentiation on
  the Equilibrium State
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
Yisen Wang
Zhouchen Lin
111
60
0
29 Sep 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
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