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Optimizing the Consumption of Spiking Neural Networks with Activity
  Regularization

Optimizing the Consumption of Spiking Neural Networks with Activity Regularization

4 April 2022
Simon Narduzzi
Siavash Bigdeli
Shih-Chii Liu
L. A. Dunbar
ArXivPDFHTML

Papers citing "Optimizing the Consumption of Spiking Neural Networks with Activity Regularization"

4 / 4 papers shown
Title
Spiking Neural Network for Ultra-low-latency and High-accurate Object
  Detection
Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection
Jinye Qu
Zeyu Gao
Tielin Zhang
Yan-Feng Lu
Huajin Tang
Hong Qiao
18
18
0
21 Jun 2023
Training for temporal sparsity in deep neural networks, application in
  video processing
Training for temporal sparsity in deep neural networks, application in video processing
Amirreza Yousefzadeh
Manolis Sifalakis
23
3
0
15 Jul 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
141
684
0
31 Jan 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
150
675
0
24 Jan 2021
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