Exploring Temporal Information Dynamics in Spiking Neural Networks

26 November 2022

Youngeun Kim

Yuhang Li

Papers citing "Exploring Temporal Information Dynamics in Spiking Neural Networks"

36 / 36 papers shown

Title
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Ruokai Yin Priyadarshini Panda 97 48 0 04 Jul 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 182 255 0 24 Feb 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 85 91 0 23 Jan 2022
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency Sayeed Shafayet Chowdhury Nitin Rathi Kaushik Roy 61 41 0 01 Oct 2021
On the Variance of the Fisher Information for Deep Learning Alexander Soen Ke Sun FedML FAtt 40 18 0 09 Jul 2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration Yuhang Li Shi-Wee Deng Xin Dong Ruihao Gong Shi Gu 56 191 0 13 Jun 2021
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks Sayeed Shafayet Chowdhury Isha Garg Kaushik Roy 34 40 0 26 Apr 2021
Visual Explanations from Spiking Neural Networks using Interspike Intervals Youngeun Kim Priyadarshini Panda AAML FAtt 62 47 0 26 Mar 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 157 493 0 08 Feb 2021
Going Deeper With Directly-Trained Larger Spiking Neural Networks Hanle Zheng Yujie Wu Lei Deng Yifan Hu Guoqi Li 59 516 0 29 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 530 40,739 0 22 Oct 2020
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch Youngeun Kim Priyadarshini Panda 85 174 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 128 523 0 11 Jul 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 136 89 0 23 Mar 2020
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks Wenrui Zhang Peng Li 68 220 0 24 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 72 62 0 01 Jan 2020
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 60 178 0 30 Jul 2019
Spiking Neural Networks and Online Learning: An Overview and Perspectives J. Lobo Javier Del Ser Albert Bifet N. Kasabov 62 227 0 23 Jul 2019
Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures Chankyu Lee Syed Shakib Sarwar Priyadarshini Panda G. Srinivasan Kaushik Roy 73 394 0 15 Mar 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 84 1,234 0 28 Jan 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 70 653 0 16 Sep 2018
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach Ryo Karakida S. Akaho S. Amari FedML 136 145 0 04 Jun 2018
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures Abhronil Sengupta Yuting Ye Robert Y. Wang Chiao Liu Kaushik Roy 76 1,000 0 07 Feb 2018
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks Tengyuan Liang T. Poggio Alexander Rakhlin J. Stokes 73 225 0 05 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 246 8,856 0 25 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 269 12,029 0 19 Jun 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 60 1,019 0 08 Jun 2017
A Tutorial on Fisher Information A. Ly M. Marsman J. Verhagen R. Grasman E. Wagenmakers 75 256 0 02 May 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 317 7,478 0 02 Dec 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 254 19,929 0 07 Oct 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 398 2,935 0 15 Sep 2016
Supervised learning based on temporal coding in spiking neural networks Hesham Mostafa 68 354 0 27 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 285 6,660 0 08 Jun 2015
Optimizing Neural Networks with Kronecker-factored Approximate Curvature James Martens Roger C. Grosse ODL 95 1,009 0 19 Mar 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 233 19,017 0 20 Dec 2014