FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level

7 July 2022

Papers citing "FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level"

6 / 6 papers shown

Title
From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition Ludovico Iannello Luca Ciampi Gabriele Lagani Fabrizio Tonelli Eleonora Crocco Lucio Maria Calcagnile Angelo Di Garbo F. Cremisi Giuseppe Amato 41 0 0 06 May 2025
Memory Networks: Towards Fully Biologically Plausible Learning Jacobo Ruiz Manas Gupta 28 0 0 18 Sep 2024
Self-Contrastive Forward-Forward Algorithm Xing Chen Dongshu Liu Jérémie Laydevant Julie Grollier 34 2 0 17 Sep 2024
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato AAML 33 6 0 30 Jul 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato 26 7 0 30 Jul 2023
Deep Features for CBIR with Scarce Data using Hebbian Learning Gabriele Lagani D. Bacciu Claudio Gallicchio Fabrizio Falchi Claudio Gennaro Giuseppe Amato 26 6 0 18 May 2022