Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization

30 October 2019

Papers citing "Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization"

19 / 19 papers shown

Title
Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures Chankyu Lee Syed Shakib Sarwar Priyadarshini Panda G. Srinivasan Kaushik Roy 63 391 0 15 Mar 2019
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing G. Srinivasan Kaushik Roy 47 61 0 11 Feb 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 70 1,224 0 28 Jan 2019
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication William M. Severa C. Vineyard Ryan Dellana Stephen J Verzi J. Aimone 48 96 0 26 Oct 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 135 484 0 26 Mar 2018
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures Abhronil Sengupta Yuting Ye Robert Y. Wang Chiao Liu Kaushik Roy 64 997 0 07 Feb 2018
DropMax: Adaptive Variational Softmax Haebeom Lee Juho Lee Saehoon Kim Eunho Yang Sung Ju Hwang 36 13 0 21 Dec 2017
ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking Neural Networks Priyadarshini Panda Jason M. Allred S. Ramanathan Kaushik Roy 41 49 0 22 Mar 2017
RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks Aayush Ankit Abhronil Sengupta Priyadarshini Panda Kaushik Roy 43 99 0 20 Feb 2017
Training Deep Spiking Neural Networks using Backpropagation Junhaeng Lee T. Delbruck Michael Pfeiffer 64 940 0 31 Aug 2016
Supervised learning based on temporal coding in spiking neural networks Hesham Mostafa 58 354 0 27 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 338 18,300 0 27 May 2016
Unsupervised Regenerative Learning of Hierarchical Features in Spiking Deep Networks for Object Recognition Priyadarshini Panda Kaushik Roy BDL SSL 31 104 0 03 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Spiking Deep Networks with LIF Neurons Eric Hunsberger C. Eliasmith 44 274 0 29 Oct 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 203 8,793 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 247 6,628 0 08 Jun 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 333 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 954 99,991 0 04 Sep 2014