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Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural
  Networks

Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks

26 April 2021
Sayeed Shafayet Chowdhury
Isha Garg
Kaushik Roy
ArXivPDFHTML

Papers citing "Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks"

19 / 19 papers shown
Title
Memory-Free and Parallel Computation for Quantized Spiking Neural Networks
Dehao Zhang
Shuai Wang
Yichen Xiao
Wenjie Wei
Yimeng Shan
Malu Zhang
Y. Yang
MQ
41
0
0
25 Feb 2025
Spiking Transformer with Spatial-Temporal Attention
Spiking Transformer with Spatial-Temporal Attention
Donghyun Lee
Yuhang Li
Youngeun Kim
Shiting Xiao
Priyadarshini Panda
28
1
0
29 Sep 2024
Synaptic Modulation using Interspike Intervals Increases Energy
  Efficiency of Spiking Neural Networks
Synaptic Modulation using Interspike Intervals Increases Energy Efficiency of Spiking Neural Networks
Dylan Adams
Magda Zajaczkowska
Ashiq Anjum
Andrea Soltoggio
Shirin Dora
27
0
0
06 Aug 2024
Ternary Spike-based Neuromorphic Signal Processing System
Ternary Spike-based Neuromorphic Signal Processing System
Shuai Wang
Dehao Zhang
A. Belatreche
Yichen Xiao
Hongyu Qing
Wenjie We
Malu Zhang
Yang Yang
37
7
0
07 Jul 2024
Toward Efficient Deep Spiking Neuron Networks:A Survey On Compression
Toward Efficient Deep Spiking Neuron Networks:A Survey On Compression
Hui Xie
Ge Yang
Wenjuan Gao
32
1
0
03 Jun 2024
Towards Efficient Deep Spiking Neural Networks Construction with Spiking
  Activity based Pruning
Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning
Yaxin Li
Qi Xu
Jiangrong Shen
Hongming Xu
Long Chen
Gang Pan
41
5
0
03 Jun 2024
SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural
  Networks
SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks
Sreyes P. Venkatesh
Razvan Marinescu
Jason Eshraghian
MQ
35
5
0
15 Apr 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
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
Resource Constrained Model Compression via Minimax Optimization for
  Spiking Neural Networks
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks
Jue Chen
Huan Yuan
Jianchao Tan
Bin Chen
Chengru Song
Di Zhang
25
3
0
09 Aug 2023
Direct Learning-Based Deep Spiking Neural Networks: A Review
Direct Learning-Based Deep Spiking Neural Networks: A Review
Yu-Zhu Guo
Xuhui Huang
Zhe Ma
AI4CE
69
46
0
31 May 2023
Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient
  In-Memory Computing
Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing
Yuhang Li
Abhishek Moitra
Tamar Geller
Priyadarshini Panda
16
19
0
27 May 2023
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking
  Neural Networks
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks
Youngeun Kim
Yuhang Li
Abhishek Moitra
Ruokai Yin
Priyadarshini Panda
28
10
0
26 May 2023
MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking
  Neural Networks
MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks
Ruokai Yin
Yuhang Li
Abhishek Moitra
Priyadarshini Panda
MQ
16
10
0
16 May 2023
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
Clemens J. S. Schaefer
Pooria Taheri
Mark Horeni
Siddharth Joshi
24
11
0
08 Feb 2023
Exploring Temporal Information Dynamics in Spiking Neural Networks
Exploring Temporal Information Dynamics in Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Anna Hambitzer
Priyadarshini Panda
19
32
0
26 Nov 2022
Energy-efficient Knowledge Distillation for Spiking Neural Networks
Dongjin Lee
Seongsik Park
Jongwan Kim
Wuhyeong Doh
Sungroh Yoon
16
11
0
14 Jun 2021
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
121
293
0
04 May 2020
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects
  of Discrete Input Encoding and Non-Linear Activations
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations
Saima Sharmin
Nitin Rathi
Priyadarshini Panda
Kaushik Roy
AAML
114
85
0
23 Mar 2020
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