GAIT-prop: A biologically plausible learning rule derived from backpropagation of error

11 June 2020

Papers citing "GAIT-prop: A biologically plausible learning rule derived from backpropagation of error"

9 / 9 papers shown

Title
Spike-based causal inference for weight alignment Jordan Guerguiev Konrad Paul Kording Blake A. Richards CML 53 23 0 03 Oct 2019
Deep Learning without Weight Transport Mohamed Akrout Collin Wilson Peter C. Humphreys Timothy Lillicrap D. Tweed CVBM 60 134 0 10 Apr 2019
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures Sergey Bartunov Adam Santoro Blake A. Richards Luke Marris Geoffrey E. Hinton Timothy Lillicrap 82 243 0 12 Jul 2018
Equivalence of Equilibrium Propagation and Recurrent Backpropagation B. Scellier Yoshua Bengio 52 39 0 22 Nov 2017
Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation B. Scellier Yoshua Bengio 66 489 0 16 Feb 2016
Difference Target Propagation Dong-Hyun Lee Saizheng Zhang Asja Fischer Yoshua Bengio AAML 64 348 0 23 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation Yoshua Bengio 89 184 0 29 Jul 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 216 16,336 0 30 Apr 2014