Direct Training for Spiking Neural Networks: Faster, Larger, Better

16 September 2018

Lei Deng

Jun Zhu

Papers citing "Direct Training for Spiking Neural Networks: Faster, Larger, Better"

40 / 90 papers shown

Title
Spikemax: Spike-based Loss Methods for Classification S. Shrestha Longwei Zhu Pengfei Sun 21 15 0 19 May 2022
Sparse Compressed Spiking Neural Network Accelerator for Object Detection Hong-Han Lien Tian-Sheuan Chang 19 25 0 02 May 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 24 134 0 01 May 2022
Brain-inspired Multilayer Perceptron with Spiking Neurons Wenshuo Li Hanting Chen Jianyuan Guo Ziyang Zhang Yunhe Wang 30 35 0 28 Mar 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 34 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 129 243 0 24 Feb 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 26 88 0 23 Jan 2022
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time Bojian Yin Federico Corradi S. Bohté 38 61 0 20 Dec 2021
Human-Level Control through Directly-Trained Deep Spiking Q-Networks Guisong Liu Wenjie Deng Xiurui Xie Li Huang Huajin Tang OffRL 21 43 0 13 Dec 2021
Direct Training via Backpropagation for Ultra-low Latency Spiking Neural Networks with Multi-threshold Changqin Xu Yi Liu Yintang Yang 10 12 0 25 Nov 2021
ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks Yihan Lin Wei Ding Shaohua Qiang Lei Deng Guoqi Li AI4TS 25 31 0 23 Oct 2021
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks Guobin Shen Dongcheng Zhao Yi Zeng 33 54 0 17 Oct 2021
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
Fully Spiking Variational Autoencoder Hiromichi Kamata Yusuke Mukuta Tatsuya Harada BDL DRL 32 41 0 26 Sep 2021
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding Gourav Datta Souvik Kundu P. Beerel 48 27 0 26 Jul 2021
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression Souvik Kundu Gourav Datta Massoud Pedram P. Beerel 15 14 0 16 Jul 2021
EventDrop: data augmentation for event-based learning Fuqiang Gu Weicong Sng Xuke Hu Fei Yu 24 37 0 07 Jun 2021
BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons Dongcheng Zhao Yi Zeng Yang Li 35 40 0 27 May 2021
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks Jianhao Ding Zhaofei Yu Yonghong Tian Tiejun Huang 33 153 0 25 May 2021
Going Deeper With Directly-Trained Larger Spiking Neural Networks Hanle Zheng Yujie Wu Lei Deng Yifan Hu Guoqi Li 19 500 0 29 Oct 2020
Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection Shibo Zhou Xiaohua Li AAML 29 13 0 15 Oct 2020
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch Youngeun Kim Priyadarshini Panda 30 171 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 52 505 0 11 Jul 2020
Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network Zihan Pan Malu Zhang Jibin Wu Haizhou Li 21 9 0 07 Jul 2020
Training Deep Spiking Neural Networks Eimantas Ledinauskas J. Ruseckas Alfonsas Jursenas Giedrius Burachas 27 54 0 08 Jun 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 88 124 0 02 May 2020
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment Maryam Parsa Catherine D. Schuman Prasanna Date Derek C. Rose Bill Kay ... Steven R. Young Ryan Dellana William M. Severa T. Potok Kaushik Roy 21 4 0 21 Apr 2020
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction Alireza Samadzadeh Fatemeh Sadat Tabatabaei Far Ali Javadi A. Nickabadi M. Chehreghani 38 49 0 27 Mar 2020
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks Malu Zhang Jiadong Wang Burin Amornpaisannon Zhixuan Zhang VPK Miriyala ... Hong Qu Jibin Wu Yansong Chua Trevor E. Carlson Haizhou Li 7 21 0 26 Mar 2020
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding Seongsik Park Seijoon Kim Byunggook Na Sungroh Yoon 13 120 0 26 Mar 2020
SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking Yihao Luo Min Xu Caihong Yuan Xiang Cao Liangqi Zhang Yan Xu Tianjiang Wang Qi Feng 22 24 0 17 Mar 2020
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network Haowen Fang Amar Shrestha Ziyi Zhao Qinru Qiu 16 120 0 19 Feb 2020
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient Ling Liang Xing Hu Lei Deng Yujie Wu Guoqi Li Yufei Ding Peng Li Yuan Xie AAML 19 60 0 01 Jan 2020
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition Jibin Wu Emre Yilmaz Malu Zhang Haizhou Li Kay Chen Tan 30 104 0 19 Nov 2019
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking Zheyu Yang Yujie Wu Guanrui Wang Yukuan Yang Guoqi Li Lei Deng Jun Zhu Luping Shi 31 42 0 15 Sep 2019
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks Jibin Wu Yansong Chua Malu Zhang Guoqi Li Haizhou Li Kay Chen Tan 24 14 0 02 Jul 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes Johannes C. Thiele O. Bichler A. Dupret 15 32 0 03 Jun 2019
Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation Deboleena Roy Priyadarshini Panda Kaushik Roy 6 22 0 24 May 2019
Spiking Deep Residual Network Yang‐Zhi Hu Huajin Tang Gang Pan 119 75 0 28 Apr 2018