Enabling Spike-based Backpropagation for Training Deep Neural Network
Architectures

Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures

15 March 2019

Syed Shakib Sarwar

Priyadarshini Panda

Papers citing "Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures"

14 / 64 papers shown

Title
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch Youngeun Kim Priyadarshini Panda 32 171 0 05 Oct 2020
TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers Nguyen-Dong Ho I. Chang 17 48 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 72 508 0 11 Jul 2020
Towards Understanding the Effect of Leak in Spiking Neural Networks Sayeed Shafayet Chowdhury Chankyu Lee Kaushik Roy 27 56 0 15 Jun 2020
Training Deep Spiking Neural Networks Eimantas Ledinauskas J. Ruseckas Alfonsas Jursenas Giedrius Burachas 27 55 0 08 Jun 2020
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
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
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 93 162 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 27 310 0 25 Feb 2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees Richeng Jin Yufan Huang Xiaofan He H. Dai Tianfu Wu FedML 27 62 0 25 Feb 2020
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
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
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 121 483 0 26 Mar 2018
Neuromorphic Deep Learning Machines Emre Neftci C. Augustine Somnath Paul Georgios Detorakis BDL 135 258 0 16 Dec 2016