Synaptic Metaplasticity in Binarized Neural Networks

7 March 2020

Papers citing "Synaptic Metaplasticity in Binarized Neural Networks"

22 / 22 papers shown

Title
Training Binary Neural Networks using the Bayesian Learning Rule Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 49 41 0 25 Feb 2020
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization K. Helwegen James Widdicombe Lukas Geiger Zechun Liu K. Cheng Roeland Nusselder MQ 42 110 0 05 Jun 2019
Online Normalization for Training Neural Networks Vitaliy Chiley I. Sharapov Atli Kosson Urs Koster R. Reece S. D. L. Fuente Vishal Subbiah Michael James OnRL 38 55 0 15 May 2019
Three scenarios for continual learning Gido M. van de Ven A. Tolias CLL 53 881 0 15 Apr 2019
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference Francesco Conti Pasquale Davide Schiavone Luca Benini 49 109 0 09 Jul 2018
Continual Reinforcement Learning with Complex Synapses Christos Kaplanis Murray Shanahan Claudia Clopath KELM 48 87 0 20 Feb 2018
Towards Accurate Binary Convolutional Neural Network Xiaofan Lin Cong Zhao Wei Pan MQ 74 638 0 30 Nov 2017
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 71 1,613 0 27 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 176 8,807 0 25 Aug 2017
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 67 2,051 0 24 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 271 7,410 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 96 3,713 0 23 Nov 2016
Instance Normalization: The Missing Ingredient for Fast Stylization Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 122 3,689 0 27 Jul 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 260 10,412 0 21 Jul 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 241 4,357 0 29 Jun 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 139 4,342 0 16 Mar 2016
Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation B. Scellier Yoshua Bengio 58 486 0 16 Feb 2016
Binarized Neural Networks Itay Hubara Daniel Soudry Ran El-Yaniv MQ 129 1,349 0 08 Feb 2016
Network Plasticity as Bayesian Inference David Kappel Stefan Habenschuss Robert Legenstein Wolfgang Maass 51 121 0 20 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 328 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 866 149,474 0 22 Dec 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 130 1,428 0 21 Dec 2013