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Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks
26 April 2021
Sayeed Shafayet Chowdhury
Isha Garg
Kaushik Roy
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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
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
Dylan Adams
Magda Zajaczkowska
Ashiq Anjum
Andrea Soltoggio
Shirin Dora
27
0
0
06 Aug 2024
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
Hui Xie
Ge Yang
Wenjuan Gao
32
1
0
03 Jun 2024
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
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
Biswadeep Chakraborty
Beomseok Kang
H. Kumar
Saibal Mukhopadhyay
36
8
0
06 Mar 2024
Are SNNs Truly Energy-efficient?
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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
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
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
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
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
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
Clemens J. S. Schaefer
Pooria Taheri
Mark Horeni
Siddharth Joshi
24
11
0
08 Feb 2023
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
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
Saima Sharmin
Nitin Rathi
Priyadarshini Panda
Kaushik Roy
AAML
114
85
0
23 Mar 2020
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