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Workload-Balanced Pruning for Sparse Spiking Neural Networks

Workload-Balanced Pruning for Sparse Spiking Neural Networks

13 February 2023
Ruokai Yin
Youngeun Kim
Yuhang Li
Abhishek Moitra
Nitin Satpute
Anna Hambitzer
Priyadarshini Panda
ArXivPDFHTML

Papers citing "Workload-Balanced Pruning for Sparse Spiking Neural Networks"

11 / 11 papers shown
Title
Spiking Transformer with Spatial-Temporal Attention
Spiking Transformer with Spatial-Temporal Attention
Donghyun Lee
Yuhang Li
Youngeun Kim
Shiting Xiao
Priyadarshini Panda
16
1
0
29 Sep 2024
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language
  Models
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models
Rishav Mukherji
Mark Schöne
Khaleelulla Khan Nazeer
Christian Mayr
David Kappel
Anand Subramoney
32
1
0
01 May 2024
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales
  for Pruning Recurrent SNN
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
Biswadeep Chakraborty
Beomseok Kang
H. Kumar
Saibal Mukhopadhyay
36
8
0
06 Mar 2024
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network
  Training
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
Donghyun Lee
Ruokai Yin
Youngeun Kim
Abhishek Moitra
Yuhang Li
Priyadarshini Panda
8
3
0
15 Jan 2024
Activity Sparsity Complements Weight Sparsity for Efficient RNN
  Inference
Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference
Rishav Mukherji
Mark Schöne
Khaleelulla Khan Nazeer
Christian Mayr
Anand Subramoney
17
2
0
13 Nov 2023
Are SNNs Truly Energy-efficient? $-$ A Hardware Perspective
Are SNNs Truly Energy-efficient? −-− A Hardware Perspective
Abhiroop Bhattacharjee
Ruokai Yin
Abhishek Moitra
Priyadarshini Panda
17
7
0
06 Sep 2023
Exploring Tradeoffs in Spiking Neural Networks
Exploring Tradeoffs in Spiking Neural Networks
Florian Bacho
Dominique F. Chu
6
1
0
15 Dec 2022
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
116
197
0
28 Feb 2021
The Lottery Ticket Hypothesis for Object Recognition
The Lottery Ticket Hypothesis for Object Recognition
Sharath Girish
Shishira R. Maiya
Kamal Gupta
Hao Chen
L. Davis
Abhinav Shrivastava
73
60
0
08 Dec 2020
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Zhangyang Wang
Michael Carbin
148
345
0
23 Jul 2020
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
116
292
0
04 May 2020
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