Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning

9 August 2018

Papers citing "Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning"

11 / 11 papers shown

Title
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks Erik B. Terres-Escudero Javier Del Ser Pablo García Bringas AAML CLL 45 0 0 10 Jan 2025
A Unified Framework for Neural Computation and Learning Over Time S. Melacci Alessandro Betti Michele Casoni Tommaso Guidi Matteo Tiezzi Marco Gori AI4TS 30 0 0 18 Sep 2024
Forward Learning of Graph Neural Networks Namyong Park Xing Wang Antoine Simoulin Shuai Yang Grey Yang Ryan Rossi Puja Trivedi Nesreen K. Ahmed GNN 47 1 0 16 Mar 2024
Effective Learning with Node Perturbation in Multi-Layer Neural Networks Sander Dalm Marcel van Gerven Nasir Ahmad AAML 33 0 0 02 Oct 2023
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis Axel Laborieux Friedemann Zenke 27 7 0 05 Sep 2023
The Forward-Forward Algorithm: Some Preliminary Investigations Geoffrey E. Hinton 27 260 0 27 Dec 2022
Credit Assignment in Neural Networks through Deep Feedback Control Alexander Meulemans Matilde Tristany Farinha Javier García Ordónez Pau Vilimelis Aceituno João Sacramento Benjamin Grewe 31 35 0 15 Jun 2021
Biological credit assignment through dynamic inversion of feedforward networks William F. Podlaski C. Machens 27 19 0 10 Jul 2020
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Sindy Löwe Peter O'Connor Bastiaan S. Veeling SSL 11 143 0 28 May 2019
Biologically plausible deep learning -- but how far can we go with shallow networks? Bernd Illing W. Gerstner Johanni Brea 19 94 0 27 Feb 2019
Neuromorphic Deep Learning Machines Emre Neftci C. Augustine Somnath Paul Georgios Detorakis BDL 135 258 0 16 Dec 2016