Going Deeper With Directly-Trained Larger Spiking Neural Networks

29 October 2020

Lei Deng

Papers citing "Going Deeper With Directly-Trained Larger Spiking Neural Networks"

42 / 42 papers shown

Title
TS-SNN: Temporal Shift Module for Spiking Neural Networks Kairong Yu Tianqing Zhang Qi Xu Gang Pan Hongwei Wang 78 0 0 07 May 2025
Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Tianqing Zhang Zixin Zhu Kairong Yu Hongwei Wang 85 0 0 29 Apr 2025
ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation Hongze Sun Jun Wang Wuque Cai Duo Chen Qianqian Liao Jiayi He Yan Cui D. Yao Daqing Guo 60 0 0 13 Mar 2025
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks Kairong Yu Chengting Yu Tianqing Zhang Xiaochen Zhao Shu Yang Hongwei Wang Qiang Zhang Qi Xu 66 2 0 05 Mar 2025
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks Tianqing Zhang Kairong Yu Xian Zhong Hongwei Wang Qi Xu Qiang Zhang 86 0 0 04 Mar 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 0 0 28 Feb 2025
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
Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks Yongjun Xiao Xianlong Tian Yongqi Ding Pei He Mengmeng Jing Lin Zuo MQ 27 1 0 08 Jul 2024
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking Xingrun Xing Boyan Gao Zheng Zhang David A. Clifton Shitao Xiao LI DU Guoqi Li Jiajun Zhang 45 5 0 05 Jul 2024
NeuroMoCo: A Neuromorphic Momentum Contrast Learning Method for Spiking Neural Networks Yuqi Ma Huamin Wang Hangchi Shen Xuemei Chen Shukai Duan Shiping Wen 41 0 0 10 Jun 2024
A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation Xin Zhang Liangxiu Han Tam Sobeih Lianghao Han Darren Dancey 43 1 0 26 Apr 2024
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks Ziming Wang Ziling Wang Huaning Li Lang Qin Runhao Jiang De Ma Huajin Tang 16 10 0 19 Mar 2024
Parallel Hyperparameter Optimization Of Spiking Neural Network Thomas Firmin Pierre Boulet El-Ghazali Talbi 25 3 0 01 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 27 4 0 26 Jan 2024
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training Donghyun Lee Ruokai Yin Youngeun Kim Abhishek Moitra Yuhang Li Priyadarshini Panda 13 3 0 15 Jan 2024
DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention Boxun Xu Hejia Geng Yuxuan Yin Peng Li 19 2 0 15 Nov 2023
Inherent Redundancy in Spiking Neural Networks Man Yao J. Hu Guangshe Zhao Yaoyuan Wang Ziyang Zhang Boxing Xu Guoqi Li 22 15 0 16 Aug 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 30 3 0 10 Jul 2023
Spike-driven Transformer Man Yao Jiakui Hu Zhaokun Zhou Liuliang Yuan Yonghong Tian Boxing Xu Guoqi Li 21 111 0 04 Jul 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 13 9 0 10 May 2023
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes Zecheng Hao Jianhao Ding Tong Bu Tiejun Huang Zhaofei Yu 33 39 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 18 18 0 13 Feb 2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential Zecheng Hao Tong Bu Jianhao Ding Tiejun Huang Zhaofei Yu 25 53 0 04 Feb 2023
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway Guangyao Chen Peixi Peng Guoqi Li Yonghong Tian 21 23 0 27 Jan 2023
Exploring Temporal Information Dynamics in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Anna Hambitzer Priyadarshini Panda 14 31 0 26 Nov 2022
Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network Yudong Li Yunlin Lei Xu Yang 13 26 0 19 Nov 2022
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks Zhanglu Yan Jun Zhou Weng-Fai Wong 17 2 0 27 Oct 2022
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks Xing-Hua Yao Fanrong Li Zitao Mo Jianguo Cheng 13 80 0 25 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 31 36 0 11 Oct 2022
Online Training Through Time for Spiking Neural Networks Mingqing Xiao Qingyan Meng Zongpeng Zhang D.K. He Zhouchen Lin 32 60 0 09 Oct 2022
Spiking Neural Networks for event-based action recognition: A new task to understand their advantage Alex Vicente-Sola D. L. Manna Paul Kirkland G. D. Caterina Trevor J. Bihl 16 8 0 29 Sep 2022
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Ruokai Yin Priyadarshini Panda 17 46 0 04 Jul 2022
Sparse Compressed Spiking Neural Network Accelerator for Object Detection Hong-Han Lien Tian-Sheuan Chang 14 25 0 02 May 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 112 242 0 24 Feb 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 16 88 0 23 Jan 2022
Human-Level Control through Directly-Trained Deep Spiking Q-Networks Guisong Liu Wenjie Deng Xiurui Xie Li Huang Huajin Tang OffRL 17 43 0 13 Dec 2021
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency Sayeed Shafayet Chowdhury Nitin Rathi Kaushik Roy 16 39 0 01 Oct 2021
Brain-inspired global-local learning incorporated with neuromorphic computing Yujie Wu R. Zhao Jun Zhu F. Chen Mingkun Xu ... Hao Zheng Jing Pei Youhui Zhang Mingguo Zhao Luping Shi 19 86 0 05 Jun 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 119 292 0 04 May 2020
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences Weihua He Yujie Wu Lei Deng Guoqi Li Haoyu Wang Yang Tian Wei Ding Wenhui Wang Yuan Xie 75 124 0 02 May 2020
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks Zhaodong Chen Lei Deng Bangyan Wang Guoqi Li Yuan Xie 24 28 0 01 Jan 2020
Spiking Deep Residual Network Yang‐Zhi Hu Huajin Tang Gang Pan 111 75 0 28 Apr 2018