Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

7 February 2018

Papers citing "Going Deeper in Spiking Neural Networks: VGG and Residual Architectures"

41 / 291 papers shown

Title
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 124 296 0 04 May 2020
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks R. K. Kushawaha S. Kumar Biplab Banerjee R. Velmurugan 8 31 0 01 May 2020
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing A. Mehonic Abu Sebastian Bipin Rajendran Osvaldo Simeone Eleni Vasilaki A. Kenyon 24 200 0 30 Apr 2020
A Neuromorphic Paradigm for Online Unsupervised Clustering James E. Smith 6 7 0 25 Apr 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 40 51 0 27 Mar 2020
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations Saima Sharmin Nitin Rathi Priyadarshini Panda Kaushik Roy AAML 116 86 0 23 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
Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation Jason M. Allred S. Spencer G. Srinivasan Kaushik Roy 13 2 0 02 Mar 2020
Is my Neural Network Neuromorphic? Taxonomy, Recent Trends and Future Directions in Neuromorphic Engineering S. Bose Jyotibdha Acharya A. Basu 32 10 0 27 Feb 2020
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network Bing Han G. Srinivasan Kaushik Roy 22 310 0 25 Feb 2020
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks Wenrui Zhang Peng Li 16 215 0 24 Feb 2020
Exploring the Connection Between Binary and Spiking Neural Networks Sen Lu Abhronil Sengupta MQ 14 102 0 24 Feb 2020
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikes Christoph Stöckl Wolfgang Maass 3DH 13 10 0 31 Jan 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 24 61 0 01 Jan 2020
Recognizing Images with at most one Spike per Neuron Christoph Stöckl Wolfgang Maass 30 12 0 30 Dec 2019
Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks Y. Tan Yuval Elovici Alexander Binder AAML 11 3 0 08 Dec 2019
Optimizing the energy consumption of spiking neural networks for neuromorphic applications M. Sorbaro Li-Yu Daisy Liu Massimo Bortone Sadique Sheik 21 67 0 03 Dec 2019
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition Jibin Wu Emre Yilmaz Malu Zhang Haizhou Li Kay Chen Tan 33 104 0 19 Nov 2019
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization Lei Deng Yujie Wu Yifan Hu Ling Liang Guoqi Li Xing Hu Yufei Ding Peng Li Yuan Xie 39 82 0 03 Nov 2019
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization Priyadarshini Panda Sai Aparna Aketi Kaushik Roy 18 35 0 30 Oct 2019
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron Saeed Reza Kheradpisheh T. Masquelier 25 187 0 21 Oct 2019
Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance Shibo Zhou Li Xiaohua Ying-Cong Chen S. T. Chandrasekaran A. Sanyal OOD 27 94 0 24 Sep 2019
NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images Pedro Machado Georgina Cosma T. McGinnity 6 5 0 18 Sep 2019
Minibatch Processing in Spiking Neural Networks D. J. Saunders Cooper Sigrist Kenneth Chaney R. Kozma H. Siegelmann 14 3 0 05 Sep 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 30 174 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 32 14 0 02 Jul 2019
Reinforcement Learning with Low-Complexity Liquid State Machines Wachirawit Ponghiran G. Srinivasan Kaushik Roy 17 14 0 04 Jun 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes Johannes C. Thiele O. Bichler A. Dupret 17 32 0 03 Jun 2019
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks Saima Sharmin Priyadarshini Panda Syed Shakib Sarwar Chankyu Lee Wachirawit Ponghiran Kaushik Roy AAML 24 66 0 07 May 2019
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning D. J. Saunders Devdhar Patel Hananel Hazan H. Siegelmann R. Kozma 22 53 0 12 Apr 2019
Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures Chankyu Lee Syed Shakib Sarwar Priyadarshini Panda G. Srinivasan Kaushik Roy 33 389 0 15 Mar 2019
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection Seijoon Kim Seongsik Park Byunggook Na Sungroh Yoon ObjD 17 410 0 12 Mar 2019
Deep Spiking Neural Network with Spike Count based Learning Rule Jibin Wu Yansong Chua Malu Zhang Qu Yang Guoqi Li Haizhou Li 17 51 0 15 Feb 2019
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing G. Srinivasan Kaushik Roy 25 61 0 11 Feb 2019
Low-Power Neuromorphic Hardware for Signal Processing Applications Bipin Rajendran Abu Sebastian M. Schmuker N. Srinivasa E. Eleftheriou 11 131 0 11 Jan 2019
Exploring Deep Spiking Neural Networks for Automated Driving Applications S. Mohapatra H. Gotzig S. Yogamani Stefan Milz R. Zöllner 13 6 0 11 Jan 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 43 642 0 16 Sep 2018
Spiking Deep Residual Network Yang‐Zhi Hu Huajin Tang Gang Pan 121 75 0 28 Apr 2018
Adversarial Training for Probabilistic Spiking Neural Networks Alireza Bagheri Osvaldo Simeone Bipin Rajendran AAML 30 26 0 22 Feb 2018
Gradient Descent for Spiking Neural Networks Dongsung Huh T. Sejnowski 13 256 0 14 Jun 2017