Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization

10 February 2023

Papers citing "Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization"

5 / 5 papers shown

Title
Self-Contrastive Forward-Forward Algorithm Xing Chen Dongshu Liu Jérémie Laydevant Julie Grollier 36 2 0 17 Sep 2024
Backpropagation-free Training of Deep Physical Neural Networks Ali Momeni Babak Rahmani M. Malléjac Philipp del Hougne Romain Fleury AI4CE PINN 29 54 0 20 Apr 2023
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks Blake Bordelon C. Pehlevan 41 22 0 05 Oct 2022
Biologically Plausible Training of Deep Neural Networks Using a Top-down Credit Assignment Network Jian-Hui Chen Cheng-Lin Liu Zuoren Wang 23 0 0 01 Aug 2022
Local plasticity rules can learn deep representations using self-supervised contrastive predictions Bernd Illing Jean-Paul Ventura G. Bellec W. Gerstner SSL DRL 48 69 0 16 Oct 2020