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DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

9 August 2020

Papers citing "DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks"

49 / 99 papers shown

Title
Real Spike: Learning Real-valued Spikes for Spiking Neural Networks Yu-Zhu Guo Liwen Zhang Y. Chen Xinyi Tong Xiaode Liu Yinglei Wang Xuhui Huang Zhe Ma 58 32 0 13 Oct 2022
Masked Spiking Transformer Ziqing Wang Yuetong Fang Jiahang Cao Qiang Zhang Zhongrui Wang Renjing Xu 59 42 0 03 Oct 2022
Spikformer: When Spiking Neural Network Meets Transformer Zhaokun Zhou Yuesheng Zhu Chao He Yaowei Wang Shuicheng Yan Yonghong Tian Liuliang Yuan 183 260 0 29 Sep 2022
Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation Yang Li Xiang He Yiting Dong Qingqun Kong Yi Zeng 62 28 0 06 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 72 140 0 01 May 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks Yuhang Li Youngeun Kim Hyoungseob Park Tamar Geller Priyadarshini Panda 66 78 0 11 Mar 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 198 256 0 24 Feb 2022
S $^3$ NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks Kazuma Suetake Shin-ichi Ikegawa Ryuji Saiin Yoshihide Sawada 60 4 0 26 Jan 2022
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? Gourav Datta Peter A. Beerel 65 37 0 22 Dec 2021
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision Alexander Kugele Thomas Pfeil Michael Pfeiffer Elisabetta Chicca 72 30 0 06 Dec 2021
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation Youngeun Kim Joshua Chough Priyadarshini Panda 88 81 0 14 Oct 2021
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise Souvik Kundu Massoud Pedram Peter A. Beerel AAML 73 75 0 06 Oct 2021
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency Sayeed Shafayet Chowdhury Nitin Rathi Kaushik Roy 63 41 0 01 Oct 2021
Spiking neural networks trained via proxy Saeed Reza Kheradpisheh M. Mirsadeghi T. Masquelier 44 16 0 27 Sep 2021
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification Gourav Datta Souvik Kundu Akhilesh R. Jaiswal Peter A. Beerel 56 8 0 26 Jul 2021
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding Gourav Datta Souvik Kundu Peter A. Beerel 110 29 0 26 Jul 2021
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression Souvik Kundu Gourav Datta Massoud Pedram Peter A. Beerel 46 14 0 16 Jul 2021
Population-coding and Dynamic-neurons improved Spiking Actor Network for Reinforcement Learning Duzhen Zhang Tielin Zhang Shuncheng Jia Xiang Cheng Bo Xu AI4CE 50 1 0 15 Jun 2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration Yuhang Li Shi-Wee Deng Xin Dong Ruihao Gong Shi Gu 63 192 0 13 Jun 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 157 496 0 08 Feb 2021
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters Rida El-Allami Alberto Marchisio Mohamed Bennai Ihsen Alouani AAML 65 39 0 09 Dec 2020
TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers Nguyen-Dong Ho I. Chang 50 50 0 11 Aug 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 139 527 0 11 Jul 2020
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 73 89 0 05 Jun 2020
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks Bojian Yin Federico Corradi Sander M. Bohté 67 103 0 24 May 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 157 303 0 04 May 2020
Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs E. P. Frady Garrick Orchard David Florey N. Imam Ruokun Liu Joyesh Mishra Jonathan Tse Andreas Wild Friedrich T. Sommer Mike Davies 46 45 0 27 Apr 2020
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks Chankyu Lee Adarsh Kosta A. Z. Zhu Kenneth Chaney Kostas Daniilidis Kaushik Roy 125 166 0 14 Mar 2020
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network Bing Han G. Srinivasan Kaushik Roy 62 316 0 25 Feb 2020
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks Wenrui Zhang Peng Li 71 221 0 24 Feb 2020
Exploring the Connection Between Binary and Spiking Neural Networks Sen Lu Abhronil Sengupta MQ 68 103 0 24 Feb 2020
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron Saeed Reza Kheradpisheh T. Masquelier 65 188 0 21 Oct 2019
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation Iulia Comsa Krzysztof Potempa Luca Versari T. Fischbacher Andrea Gesmundo J. Alakuijala 73 178 0 30 Jul 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 61 14 0 02 Jul 2019
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence I. Chakraborty Deboleena Roy Isha Garg Aayush Ankit Kaushik Roy 49 38 0 04 Jun 2019
Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures Chankyu Lee Syed Shakib Sarwar Priyadarshini Panda G. Srinivasan Kaushik Roy 76 396 0 15 Mar 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 90 1,237 0 28 Jan 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 76 656 0 16 Sep 2018
SLAYER: Spike Layer Error Reassignment in Time S. Shrestha Garrick Orchard 56 751 0 05 Sep 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 140 488 0 26 Mar 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 95 1,347 0 10 Feb 2018
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures Abhronil Sengupta Yuting Ye Robert Y. Wang Chiao Liu Kaushik Roy 78 1,004 0 07 Feb 2018
Gradient Descent for Spiking Neural Networks Dongsung Huh T. Sejnowski 61 257 0 14 Jun 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 62 1,022 0 08 Jun 2017
Training Deep Nets with Sublinear Memory Cost Tianqi Chen Bing Xu Chiyuan Zhang Carlos Guestrin 103 1,167 0 21 Apr 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 170 4,357 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 259 8,842 0 01 Oct 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 2014