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Towards guarantees for parameter isolation in continual learning

Towards guarantees for parameter isolation in continual learning

2 October 2023
Giulia Lanzillotta
Sidak Pal Singh
Benjamin Grewe
Thomas Hofmann
ArXivPDFHTML

Papers citing "Towards guarantees for parameter isolation in continual learning"

3 / 3 papers shown
Title
The Hessian perspective into the Nature of Convolutional Neural Networks
The Hessian perspective into the Nature of Convolutional Neural Networks
Sidak Pal Singh
Thomas Hofmann
Bernhard Schölkopf
33
10
0
16 May 2023
TRGP: Trust Region Gradient Projection for Continual Learning
TRGP: Trust Region Gradient Projection for Continual Learning
Sen Lin
Li Yang
Deliang Fan
Junshan Zhang
CLL
78
73
0
07 Feb 2022
Powerpropagation: A sparsity inducing weight reparameterisation
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
87
54
0
01 Oct 2021
1