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Spiking Neural Predictive Coding for Continual Learning from Data Streams

23 August 2019

Papers citing "Spiking Neural Predictive Coding for Continual Learning from Data Streams"

30 / 30 papers shown

Title
The Neural Coding Framework for Learning Generative Models Alexander Ororbia Daniel Kifer GAN 70 66 0 07 Dec 2020
Learning without feedback: Fixed random learning signals allow for feedforward training of deep neural networks Charlotte Frenkel M. Lefebvre D. Bol 41 23 0 03 Sep 2019
A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule Yunzhe Hao Xuhui Huang Meng Dong Bo Xu 64 154 0 17 Dec 2018
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations Alexander Ororbia A. Mali C. Lee Giles Daniel Kifer 79 64 0 17 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
Continual Learning of Context-dependent Processing in Neural Networks Guanxiong Zeng Yang Chen Bo Cui Shan Yu CLL 82 310 0 29 Sep 2018
Unsupervised Learning with Self-Organizing Spiking Neural Networks Hananel Hazan D. J. Saunders Darpan T. Sanghavi H. Siegelmann R. Kozma SSL 35 66 0 24 Jul 2018
Unsupervised Learning by Competing Hidden Units Dmitry Krotov J. Hopfield SSL 69 168 0 26 Jun 2018
Biologically Motivated Algorithms for Propagating Local Target Representations Alexander Ororbia A. Mali 119 89 0 26 May 2018
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks Milad Mozafari M. Ganjtabesh A. Nowzari-Dalini S. Thorpe T. Masquelier 59 159 0 31 Mar 2018
Conducting Credit Assignment by Aligning Local Representations Alexander Ororbia A. Mali Daniel Kifer C. Lee Giles ODL 83 29 0 05 Mar 2018
Scalable and accurate deep learning for electronic health records A. Rajkomar Eyal Oren Kai Chen Andrew M. Dai Nissan Hajaj ... A. Butte M. Howell Claire Cui Greg S. Corrado Jeffrey Dean OOD BDL 177 2,149 0 24 Jan 2018
Learning to Adapt by Minimizing Discrepancy Alexander Ororbia P. Haffner David Reitter C. Lee Giles AI4TS 56 28 0 30 Nov 2017
Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning Ryan Poplin A. Varadarajan Katy Blumer Yun-Hui Liu M. McConnell G. Corrado L. Peng D. Webster MedIm 64 1,338 0 31 Aug 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,920 0 25 Aug 2017
Learning Simpler Language Models with the Differential State Framework Alexander Ororbia Tomas Mikolov David Reitter AI4TS 47 65 0 26 Mar 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching Sang-Woo Lee Jin-Hwa Kim Jaehyun Jun Jung-Woo Ha Byoung-Tak Zhang CLL 72 679 0 24 Mar 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 374 7,561 0 02 Dec 2016
STDP-based spiking deep convolutional neural networks for object recognition Saeed Reza Kheradpisheh M. Ganjtabesh S. Thorpe T. Masquelier 67 405 0 04 Nov 2016
A Self-Driving Robot Using Deep Convolutional Neural Networks on Neuromorphic Hardware Tiffany Hwu Jacob Isbell Nicolas Oros J. Krichmar 53 48 0 04 Nov 2016
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 406 7,414 0 12 Sep 2016
Training Deep Spiking Neural Networks using Backpropagation Junhaeng Lee T. Delbruck Michael Pfeiffer 92 946 0 31 Aug 2016
Decoupled Neural Interfaces using Synthetic Gradients Max Jaderberg Wojciech M. Czarnecki Simon Osindero Oriol Vinyals Alex Graves David Silver Koray Kavukcuoglu 87 358 0 18 Aug 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 308 4,428 0 29 Jun 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,196 0 16 Mar 2016
Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation B. Scellier Yoshua Bengio 70 494 0 16 Feb 2016
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware P. U. Diehl Guido Zarrella A. Cassidy Bruno U. Pedroni Emre Neftci 81 218 0 16 Jan 2016
Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders Alexander Ororbia C. Lee Giles David Reitter AI4CE 62 30 0 22 Nov 2015
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems Emre Neftci Srinjoy Das Bruno U. Pedroni Ken Kreutz-Delgado Gert Cauwenberghs BDL 87 209 0 05 Nov 2013
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 204 5,360 0 21 Nov 2012