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The Hardware Impact of Quantization and Pruning for Weights in Spiking
  Neural Networks

The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks

8 February 2023
Clemens J. S. Schaefer
Pooria Taheri
Mark Horeni
Siddharth Joshi
ArXivPDFHTML

Papers citing "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"

2 / 2 papers shown
Title
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels
Ayana Moshruba
Shay Snyder
Hamed Poursiami
Maryam Parsa
AAML
71
2
0
25 Feb 2025
The fine line between dead neurons and sparsity in binarized spiking
  neural networks
The fine line between dead neurons and sparsity in binarized spiking neural networks
Jason Eshraghian
Wei D. Lu
33
19
0
28 Jan 2022
1