Learning in the Machine: Random Backpropagation and the Deep Learning Channel

8 December 2016

Papers citing "Learning in the Machine: Random Backpropagation and the Deep Learning Channel"

7 / 7 papers shown

Title
Biologically plausible deep learning -- but how far can we go with shallow networks? Bernd Illing W. Gerstner Johanni Brea 30 94 0 27 Feb 2019
Feedback alignment in deep convolutional networks Theodore H. Moskovitz Ashok Litwin-Kumar L. F. Abbott 27 60 0 12 Dec 2018
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning Georgios Detorakis Sadique Sheik C. Augustine Somnath Paul Bruno U. Pedroni N. Dutt J. Krichmar Gert Cauwenberghs Emre Neftci 42 29 0 29 Sep 2017
SuperSpike: Supervised learning in multi-layer spiking neural networks Friedemann Zenke Surya Ganguli 32 558 0 31 May 2017
Understanding Synthetic Gradients and Decoupled Neural Interfaces Wojciech M. Czarnecki G. Swirszcz Max Jaderberg Simon Osindero Oriol Vinyals Koray Kavukcuoglu 33 81 0 01 Mar 2017
Neuromorphic Deep Learning Machines Emre Neftci C. Augustine Somnath Paul Georgios Detorakis BDL 135 258 0 16 Dec 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 270 7,640 0 03 Jul 2012