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Exploring Lottery Ticket Hypothesis in Spiking Neural Networks

Exploring Lottery Ticket Hypothesis in Spiking Neural Networks

4 July 2022
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Ruokai Yin
Priyadarshini Panda
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Papers citing "Exploring Lottery Ticket Hypothesis in Spiking Neural Networks"

36 / 36 papers shown
Title
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Yupei Li
M. Milling
Björn Schuller
AI4CE
102
0
0
27 Mar 2025
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
Research Advances and New Paradigms for Biology-inspired Spiking Neural
  Networks
Research Advances and New Paradigms for Biology-inspired Spiking Neural Networks
Tianyu Zheng
Liyuan Han
Tielin Zhang
AI4CE
20
0
0
26 Aug 2024
When In-memory Computing Meets Spiking Neural Networks -- A Perspective
  on Device-Circuit-System-and-Algorithm Co-design
When In-memory Computing Meets Spiking Neural Networks -- A Perspective on Device-Circuit-System-and-Algorithm Co-design
Abhishek Moitra
Abhiroop Bhattacharjee
Yuhang Li
Youngeun Kim
Priyadarshini Panda
20
1
0
22 Aug 2024
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural
  Networks
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
27
0
0
17 Jul 2024
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking
  Neural Networks for Energy-Efficient Edge Computing
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing
Biswadeep Chakraborty
Saibal Mukhopadhyay
34
2
0
08 Jul 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
35
1
0
01 May 2024
Direct Training Needs Regularisation: Anytime Optimal Inference Spiking
  Neural Network
Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network
Dengyu Wu
Yi Qi
Kaiwen Cai
Gao Jin
Xinping Yi
Xiaowei Huang
24
3
0
15 Apr 2024
A Survey of Lottery Ticket Hypothesis
A Survey of Lottery Ticket Hypothesis
Bohan Liu
Zijie Zhang
Peixiong He
Zhensen Wang
Yang Xiao
Ruimeng Ye
Yang Zhou
Wei-Shinn Ku
Bo Hui
UQCV
32
12
0
07 Mar 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
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network
  through Spatial-Temporal Compressive Network Search and Joint Optimization
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization
Qianhui Liu
Jiaqi Yan
Malu Zhang
Gang Pan
Haizhou Li
27
4
0
26 Jan 2024
Pursing the Sparse Limitation of Spiking Deep Learning Structures
Pursing the Sparse Limitation of Spiking Deep Learning Structures
Hao-Ran Cheng
Jiahang Cao
Erjia Xiao
Mengshu Sun
Le Yang
Jize Zhang
Xue Lin
B. Kailkhura
Kaidi Xu
Renjing Xu
11
1
0
18 Nov 2023
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
Highly Efficient SNNs for High-speed Object Detection
Highly Efficient SNNs for High-speed Object Detection
Nemin Qiu
Zhiguo Li
Yuan Li
Chuang Zhu
15
0
0
27 Sep 2023
Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking
  Neural Network
Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Network
Hao Cheng
Jiahang Cao
Erjia Xiao
Mengshu Sun
Renjing Xu
20
2
0
23 Sep 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
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
64
45
0
31 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
20
10
0
26 May 2023
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking
  Neural Network
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network
Man Yao
Yu-Liang Chou
Guangshe Zhao
Xiawu Zheng
Yonghong Tian
Boxing Xu
Guoqi Li
28
4
0
20 May 2023
Uncovering the Representation of Spiking Neural Networks Trained with
  Surrogate Gradient
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
Yuhang Li
Youngeun Kim
Hyoungseob Park
Priyadarshini Panda
25
16
0
25 Apr 2023
Neurogenesis Dynamics-inspired Spiking Neural Network Training
  Acceleration
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration
Shaoyi Huang
Haowen Fang
Kaleel Mahmood
Bowen Lei
Nuo Xu
Bin Lei
Yue Sun
Dongkuan Xu
Wujie Wen
Caiwen Ding
9
10
0
24 Apr 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey
Structured Pruning for Deep Convolutional Neural Networks: A survey
Yang He
Lingao Xiao
3DPC
18
115
0
01 Mar 2023
A Unified Framework for Soft Threshold Pruning
A Unified Framework for Soft Threshold Pruning
Yanqing Chen
Zhengyu Ma
Wei Fang
Xiawu Zheng
Zhaofei Yu
Yonghong Tian
67
19
0
25 Feb 2023
Workload-Balanced Pruning for Sparse Spiking Neural Networks
Workload-Balanced Pruning for Sparse Spiking Neural Networks
Ruokai Yin
Youngeun Kim
Yuhang Li
Abhishek Moitra
Nitin Satpute
Anna Hambitzer
Priyadarshini Panda
18
18
0
13 Feb 2023
Hoyer regularizer is all you need for ultra low-latency spiking neural
  networks
Hoyer regularizer is all you need for ultra low-latency spiking neural networks
Gourav Datta
Zeyu Liu
P. Beerel
19
9
0
20 Dec 2022
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
11
31
0
26 Nov 2022
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking
  Neural Networks
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks
Yuhang Li
Ruokai Yin
Hyoungseob Park
Youngeun Kim
Priyadarshini Panda
13
14
0
14 Nov 2022
Converting Artificial Neural Networks to Spiking Neural Networks via
  Parameter Calibration
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration
Yuhang Li
Shi-Wee Deng
Xin Dong
Shi Gu
43
23
0
06 May 2022
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks
Ruokai Yin
Abhishek Moitra
Abhiroop Bhattacharjee
Youngeun Kim
Priyadarshini Panda
8
50
0
11 Apr 2022
Temporal Efficient Training of Spiking Neural Network via Gradient
  Re-weighting
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Shi-Wee Deng
Yuhang Li
Shanghang Zhang
Shi Gu
112
240
0
24 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient
  Training
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen
Zhenyu (Allen) Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zhangyang Wang
OOD
AAML
74
46
0
20 Feb 2022
Deep Residual Learning in Spiking Neural Networks
Deep Residual Learning in Spiking Neural Networks
Wei Fang
Zhaofei Yu
Yanqing Chen
Tiejun Huang
T. Masquelier
Yonghong Tian
121
470
0
08 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
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
R. Legenstein
Wolfgang Maass
111
477
0
26 Mar 2018
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