Comprehensive SNN Compression Using ADMM Optimization and Activity
Regularization

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization

3 November 2019

Lei Deng

Peng Li

Papers citing "Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization"

19 / 19 papers shown

Title
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism Yu Liang Wenjie Wei A. Belatreche Honglin Cao Zijian Zhou Shuai Wang Malu Zhang Yue Yang MQ 68 0 0 21 Feb 2025
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks Huifeng Yin Hanle Zheng Jiayi Mao Siyuan Ding Xing Liu M. Xu Yifan Hu Jing Pei Lei Deng 52 1 0 28 Jan 2025
FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks Kairong Yu Tianqing Zhang Hongwei Wang Qi Xu 38 2 0 15 Dec 2024
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing Biswadeep Chakraborty Saibal Mukhopadhyay 38 2 0 08 Jul 2024
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN Biswadeep Chakraborty Beomseok Kang H. Kumar Saibal Mukhopadhyay 46 8 0 06 Mar 2024
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 44 4 0 26 Jan 2024
Inherent Redundancy in Spiking Neural Networks Man Yao J. Hu Guangshe Zhao Yaoyuan Wang Ziyang Zhang Boxing Xu Guoqi Li 40 15 0 16 Aug 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
Spike-driven Transformer Man Yao Jiakui Hu Zhaokun Zhou Liuliang Yuan Yonghong Tian Boxing Xu Guoqi Li 39 120 0 04 Jul 2023
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks Jiangrong Shen Qi Xu Jian K. Liu Yueming Wang Gang Pan Huajin Tang 30 42 0 06 Jun 2023
A Unified Framework for Soft Threshold Pruning Yanqing Chen Zhengyu Ma Wei Fang Xiawu Zheng Zhaofei Yu Yonghong Tian 88 19 0 25 Feb 2023
Workload-Balanced Pruning for Sparse Spiking Neural Networks Ruokai Yin Youngeun Kim Yuhang Li Abhishek Moitra Nitin Satpute Anna Hambitzer Priyadarshini Panda 37 19 0 13 Feb 2023
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Ruokai Yin Priyadarshini Panda 32 46 0 04 Jul 2022
Sparse Compressed Spiking Neural Network Accelerator for Object Detection Hong-Han Lien Tian-Sheuan Chang 19 27 0 02 May 2022
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression Souvik Kundu Gourav Datta Massoud Pedram P. Beerel 23 14 0 16 Jul 2021
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks Sayeed Shafayet Chowdhury Isha Garg Kaushik Roy 23 38 0 26 Apr 2021
Connection Pruning for Deep Spiking Neural Networks with On-Chip Learning Thao N. N. Nguyen B. Veeravalli Xuanyao Fong 6 13 0 09 Oct 2020
Spiking Deep Residual Network Yang‐Zhi Hu Huajin Tang Gang Pan 121 75 0 28 Apr 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 121 481 0 26 Mar 2018