Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch

5 October 2020

Youngeun Kim

Papers citing "Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch"

50 / 83 papers shown

Title
SAEN-BGS: Energy-Efficient Spiking AutoEncoder Network for Background Subtraction Z. Zhang X. Li Q. Liu 26 0 0 12 May 2025
Underwater Image Enhancement by Convolutional Spiking Neural Networks Vidya Sudevan F. Zayer Rizwana Kausar S. Javed Hamad Karki G. D. Masi Jorge Dias 71 1 0 26 Mar 2025
TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks Prajna G. Malettira Shubham Negi Wachirawit Ponghiran Kaushik Roy AI4TS 69 1 0 22 Nov 2024
Deep activity propagation via weight initialization in spiking neural networks Aurora Micheli O. Booij J. C. V. Gemert Nergis Tömen 21 0 0 01 Oct 2024
DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal Attention Boxun Xu Hejia Geng Yuxuan Yin Peng Li AI4TS 28 0 0 20 Sep 2024
ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition Shiting Xiao Yuhang Li Youngeun Kim Donghyun Lee Priyadarshini Panda 36 1 0 03 Sep 2024
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 30 1 0 22 Aug 2024
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation Maximilian Baronig Romain Ferrand Silvester Sabathiel R. Legenstein 40 3 0 14 Aug 2024
Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs Maryam Abbasihafshejani Anindya Maiti Murtuza Jadliwala FedML 33 0 0 24 Jul 2024
RTFormer: Re-parameter TSBN Spiking Transformer Hongzhi Wang Xiubo Liang Mengjian Li Tao Zhang 38 0 0 20 Jun 2024
EvSegSNN: Neuromorphic Semantic Segmentation for Event Data Dalia Hareb Jean Martinet 50 4 0 20 Jun 2024
Toward Efficient Deep Spiking Neuron Networks:A Survey On Compression Hui Xie Ge Yang Wenjuan Gao 35 1 0 03 Jun 2024
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors Mustafa Sakhai Szymon Mazurek Jakub Caputa Jan K. Argasiñski Maciej Wielgosz 35 3 0 01 Jun 2024
Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks Lihao Wang Zhaofei Yu 42 5 0 01 Jun 2024
Robust Stable Spiking Neural Networks Jianhao Ding Zhiyu Pan Yujia Liu Zhaofei Yu Tiejun Huang AAML 33 5 0 31 May 2024
Enhancing Adversarial Robustness in SNNs with Sparse Gradients Yujia Liu Tong Bu Jianhao Ding Zecheng Hao Tiejun Huang Zhaofei Yu AAML 37 3 0 30 May 2024
High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference Cost Jiakui Hu Man Yao Xuerui Qiu Yuhong Chou Yuxuan Cai Ning Qiao Yonghong Tian Boxing Xu Guoqi Li AI4CE 32 9 0 26 May 2024
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods Chenlin Zhou Han Zhang Liutao Yu Yumin Ye Zhaokun Zhou Liwei Huang Zhengyu Ma Xiaopeng Fan Huihui Zhou Yonghong Tian 46 10 0 06 May 2024
Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices Hanqing Fu Gaolei Li Jun Wu Jianhua Li Xi Lin Kai Zhou Yuchen Liu AAML 40 1 0 27 Mar 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks Yu-Zhu Guo Y. Chen 18 2 0 09 Jan 2024
Deep Pulse-Coupled Neural Networks Zexiang Yi Jing Lian Yunliang Qi Zhaofei Yu Huajin Tang Yide Ma Jizhao Liu 23 2 0 24 Dec 2023
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks Gourav Datta Zeyu Liu James Diffenderfer B. Kailkhura P. Beerel 40 0 0 12 Dec 2023
DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention Boxun Xu Hejia Geng Yuxuan Yin Peng Li 21 2 0 15 Nov 2023
Adversarially Robust Spiking Neural Networks Through Conversion Ozan Özdenizci R. Legenstein AAML 38 8 0 15 Nov 2023
Spike-based Neuromorphic Computing for Next-Generation Computer Vision Md. Sakib Hasan Catherine D. Schuman Zhongyang Zhang Tauhidur Rahman Garrett S. Rose 31 0 0 15 Oct 2023
Are SNNs Truly Energy-efficient? $-$ A Hardware Perspective Abhiroop Bhattacharjee Ruokai Yin Abhishek Moitra Priyadarshini Panda 17 7 0 06 Sep 2023
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling Shimin Zhang Qu Yang Chenxiang Ma Jibin Wu Haizhou Li Kay Chen Tan 22 16 0 25 Aug 2023
Membrane Potential Batch Normalization for Spiking Neural Networks Yu-Zhu Guo Yuhan Zhang Y. Chen Weihang Peng Xiaode Liu Liwen Zhang Xuhui Huang Zhe Ma AAML 32 37 0 16 Aug 2023
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding Yusuke Sakemi Kakei Yamamoto T. Hosomi Kazuyuki Aihara 40 7 0 24 Jul 2023
SLSSNN: High energy efficiency spike-train level spiking neural networks with spatio-temporal conversion Changqin Xu Yi Liu Yintang Yang 19 1 0 14 Jul 2023
Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation Shubham Negi Deepika Sharma Adarsh Kosta Kaushik Roy 8 4 0 05 Jun 2023
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN Yang‐Zhi Hu Qian Zheng Xudong Jiang Gang Pan MQ 21 48 0 31 May 2023
Direct Learning-Based Deep Spiking Neural Networks: A Review Yu-Zhu Guo Xuhui Huang Zhe Ma AI4CE 74 47 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 18 10 0 16 May 2023
Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization Yu-Zhu Guo Weihang Peng Y. Chen Liwen Zhang Xiaode Liu Xuhui Huang Zhe Ma 103 35 0 03 May 2023
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient Yuhang Li Youngeun Kim Hyoungseob Park Priyadarshini Panda 30 16 0 25 Apr 2023
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies Wei Fang Zhaofei Yu Zhaokun Zhou Ding Chen Yanqing Chen Zhengyu Ma T. Masquelier Yonghong Tian 24 39 0 25 Apr 2023
SEENN: Towards Temporal Spiking Early-Exit Neural Networks Yuhang Li Tamar Geller Youngeun Kim Priyadarshini Panda 24 37 0 02 Apr 2023
Skip Connections in Spiking Neural Networks: An Analysis of Their Effect on Network Training Hadjer Benmeziane Amine Ziad Ounnoughene I. Hamzaoui Younes Bouhadjar 36 4 0 23 Mar 2023
A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices Kai Malcolm Josue Casco-Rodriguez 30 15 0 19 Mar 2023
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes Zecheng Hao Jianhao Ding Tong Bu Tiejun Huang Zhaofei Yu 40 40 0 21 Feb 2023
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation Ye Yue M. Baltes Nidal Abujahar Tao Sun Charles D. Smith Trevor J. Bihl Jundong Liu 21 7 0 14 Feb 2023
Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks Kazuma Suetake Takuya Ushimaru Ryuji Saiin Yoshihide Sawada 11 0 0 03 Feb 2023
Exploiting High Performance Spiking Neural Networks with Efficient Spiking Patterns Guobin Shen Dongcheng Zhao Yi Zeng 23 11 0 29 Jan 2023
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff Dengyu Wu Gao Jin Han Yu Xinping Yi Xiaowei Huang 24 2 0 23 Jan 2023
FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks with Efficient DSP and Memory Optimization Jindong Li Guobin Shen Dongcheng Zhao Qian Zhang Yingda Zeng 26 29 0 05 Jan 2023
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision Gourav Datta Zeyu Liu Md. Abdullah-Al Kaiser Souvik Kundu Joe Mathai Zihan Yin Ajey P. Jacob Akhilesh R. Jaiswal P. Beerel 26 12 0 21 Dec 2022
Hoyer regularizer is all you need for ultra low-latency spiking neural networks Gourav Datta Zeyu Liu P. Beerel 22 9 0 20 Dec 2022