Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

4 May 2020

Papers citing "Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation"

45 / 45 papers shown

Title
PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation Pranav Ramesh Gopalakrishnan Srinivasan 31 0 0 03 May 2025
Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer Yufei Guo Xiaode Liu Y. Chen Weihang Peng Yuhan Zhang Zhe Ma MQ 43 1 0 28 Feb 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis Junyi Guan Abhijith Sharma Chong Tian Salem Lahlou AAML 49 1 0 18 Feb 2025
TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks M. Apolinario Kaushik Roy Charlotte Frenkel 101 0 0 03 Feb 2025
TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking Adarsh Kosta Amogh Joshi Arjun Roy Rohan Kumar Manna M. Nagaraj Kaushik Roy 46 2 0 21 Jan 2025
Spiking Convolutional Neural Networks for Text Classification Changze Lv Jianhan Xu Xiaoqing Zheng 50 27 0 27 Jun 2024
DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention Boxun Xu Hejia Geng Yuxuan Yin Peng Li 21 2 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 28 0 0 15 Oct 2023
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks Yu-Zhu Guo Y. Chen Liwen Zhang Xiaode Liu Xinyi Tong Yuanyuan Ou Xuhui Huang Zhe Ma AAML 39 3 0 10 Jul 2023
Spike-driven Transformer Man Yao Jiakui Hu Zhaokun Zhou Liuliang Yuan Yonghong Tian Boxing Xu Guoqi Li 34 114 0 04 Jul 2023
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference Boyan Li Luziwei Leng Shuaijie Shen Kaixuan Zhang Jianguo Zhang Jianxing Liao Ran Cheng 28 7 0 21 Jun 2023
Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection Jinye Qu Zeyu Gao Tielin Zhang Yan-Feng Lu Huajin Tang Hong Qiao 16 18 0 21 Jun 2023
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation Chenlin Zhou Han Zhang Zhaokun Zhou Liutao Yu Zhengyu Ma Huihui Zhou Xiaopeng Fan Yonghong Tian 21 9 0 10 May 2023
Neuromorphic Computing with AER using Time-to-Event-Margin Propagation Madhuvanthi Srivatsav S. Chakrabartty Chetan Singh Thakur 14 1 0 27 Apr 2023
LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks Di Hong Jiangrong Shen Yu Qi Yueming Wang 22 5 0 17 Apr 2023
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation Qi Xu Yaxin Li Jiangrong Shen Jian K. Liu Huajin Tang Gang Pan 17 61 0 12 Apr 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
Workload-Balanced Pruning for Sparse Spiking Neural Networks Ruokai Yin Youngeun Kim Yuhang Li Abhishek Moitra Nitin Satpute Anna Hambitzer Priyadarshini Panda 29 18 0 13 Feb 2023
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway Guangyao Chen Peixi Peng Guoqi Li Yonghong Tian 26 23 0 27 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
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks Zhanglu Yan Jun Zhou Weng-Fai Wong 23 2 0 27 Oct 2022
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks Chengting Yu Zheming Gu Da Li Gaoang Wang Aili Wang Erping Li 44 36 0 11 Oct 2022
Online Training Through Time for Spiking Neural Networks Mingqing Xiao Qingyan Meng Zongpeng Zhang D.K. He Zhouchen Lin 45 60 0 09 Oct 2022
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples Nuo Xu Kaleel Mahmood Haowen Fang Ethan Rathbun Caiwen Ding Wujie Wen AAML 29 12 0 07 Sep 2022
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Ruokai Yin Priyadarshini Panda 24 46 0 04 Jul 2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation Qingyan Meng Mingqing Xiao Shen Yan Yisen Wang Zhouchen Lin Zhimin Luo 17 134 0 01 May 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks Yuhang Li Youngeun Kim Hyoungseob Park Tamar Geller Priyadarshini Panda 31 75 0 11 Mar 2022
Rethinking Pretraining as a Bridge from ANNs to SNNs Yihan Lin Yifan Hu Shiji Ma Guo-Qi Li Dongjie Yu 29 12 0 02 Mar 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 117 243 0 24 Feb 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 21 88 0 23 Jan 2022
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency Sayeed Shafayet Chowdhury Nitin Rathi Kaushik Roy 21 40 0 01 Oct 2021
Spike time displacement based error backpropagation in convolutional spiking neural networks M. Mirsadeghi Majid Shalchian Saeed Reza Kheradpisheh T. Masquelier 10 14 0 31 Aug 2021
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding Gourav Datta Souvik Kundu P. Beerel 40 27 0 26 Jul 2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration Yuhang Li Shi-Wee Deng Xin Dong Ruihao Gong Shi Gu 13 185 0 13 Jun 2021
Federated Learning with Spiking Neural Networks Yeshwanth Venkatesha Youngeun Kim Leandros Tassiulas Priyadarshini Panda FedML 25 47 0 11 Jun 2021
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks Jianhao Ding Zhaofei Yu Yonghong Tian Tiejun Huang 11 153 0 25 May 2021
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks Sayeed Shafayet Chowdhury Isha Garg Kaushik Roy 18 38 0 26 Apr 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 123 476 0 08 Feb 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique BDL 56 140 0 21 Dec 2020
Going Deeper With Directly-Trained Larger Spiking Neural Networks Hanle Zheng Yujie Wu Lei Deng Yifan Hu Guoqi Li 19 499 0 29 Oct 2020
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch Youngeun Kim Priyadarshini Panda 27 170 0 05 Oct 2020
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen T. Masquelier Tiejun Huang Yonghong Tian 47 503 0 11 Jul 2020
Training Deep Spiking Neural Networks Eimantas Ledinauskas J. Ruseckas Alfonsas Jursenas Giedrius Burachas 16 54 0 08 Jun 2020
Exploring the Connection Between Binary and Spiking Neural Networks Sen Lu Abhronil Sengupta MQ 14 100 0 24 Feb 2020
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney R. Legenstein Wolfgang Maass 119 481 0 26 Mar 2018