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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"

50 / 100 papers shown

Title
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs Gourav Datta Haoqing Deng R. Aviles Peter A. Beerel 149 11 0 23 Oct 2022
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 70 32 0 13 Oct 2022
Masked Spiking Transformer Ziqing Wang Yuetong Fang Jiahang Cao Qiang Zhang Zhongrui Wang Renjing Xu 75 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 227 264 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 78 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 82 142 0 01 May 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks Yuhang Li Youngeun Kim Hyoungseob Park Tamar Geller Priyadarshini Panda 101 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 230 257 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 79 4 0 26 Jan 2022
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? Gourav Datta Peter A. Beerel 73 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 74 30 0 06 Dec 2021
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation Youngeun Kim Joshua Chough Priyadarshini Panda 101 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 86 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 83 41 0 01 Oct 2021
Spiking neural networks trained via proxy Saeed Reza Kheradpisheh M. Mirsadeghi T. Masquelier 75 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 68 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 126 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 64 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 73 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 73 195 0 13 Jun 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 231 502 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 70 52 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 178 531 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 69 104 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 173 304 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 72 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 160 168 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 109 320 0 25 Feb 2020
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks Wenrui Zhang Peng Li 85 223 0 24 Feb 2020
Exploring the Connection Between Binary and Spiking Neural Networks Sen Lu Abhronil Sengupta MQ 80 103 0 24 Feb 2020
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron Saeed Reza Kheradpisheh T. Masquelier 78 192 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 81 179 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 69 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 61 39 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 104 398 0 15 Mar 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 106 1,249 0 28 Jan 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 82 665 0 16 Sep 2018
SLAYER: Spike Layer Error Reassignment in Time S. Shrestha Garrick Orchard 76 754 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 167 490 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 117 1,349 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 95 1,009 0 07 Feb 2018
Gradient Descent for Spiking Neural Networks Dongsung Huh T. Sejnowski 76 256 0 14 Jun 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 102 1,035 0 08 Jun 2017
Training Deep Nets with Sublinear Memory Cost Tianqi Chen Bing Xu Chiyuan Zhang Carlos Guestrin 115 1,177 0 21 Apr 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 190 4,371 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,819 0 10 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 280 8,869 0 01 Oct 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.8K 100,644 0 04 Sep 2014