Dynamics of on-line learning in two-layer neural networks in the presence of concept drift
Abstract
In this talk I will discuss our recent work on learning in non-stationary situations. A modelling scenario of neural networks learning under a random drift process is presented and results will be discussed. Particularly we will focus on the effects of weight decay as a forgetting mechanism.
Date
Aug 12, 2020 7:00 PM
Location
École de Physique des Houches
149 Chemin de la Côté, Les Houches, Rhône-Alpes 74310
A recording of the talk can be found below.
Michiel Straat
Postdoc in Machine Learning
My research interests include Machine Learning, Computational Intelligence and Statistical Physics of Learning.