Self-supervision in multilayer adaptive networks

Citation

Luttrell S P, December 1991, Self-supervision in multilayer adaptive networks, DRA technical report (Malvern, UK), 4467

Abstract

We theoretically derive and numerically simulate a new phenomenon called self-supervision, in which the higher layers of a multilayer unsupervised network control the optimisation of the lower layers, even when there is no external supervising teacher present. Self-supervision is a very convenient hybrid, which combines the best properties of unsupervised and supervised network training algorithms.

Links

  • Remastered paper in Mathematica
  • Reproduction of results using Mathematica