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Deep Continual Learning (Dagstuhl Seminar 23122)

Authors: Tinne Tuytelaars, Bing Liu, Vincenzo Lomonaco, Gido van de Ven, and Andrea Cossu

Published in: Dagstuhl Reports, Volume 13, Issue 3 (2023)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 23122 "Deep Continual Learning". This seminar brought together 26 researchers to discuss open problems and future directions of Continual Learning. The discussion revolved around key properties and the definition of Continual Learning itself, on the way Continual Learning should be evaluated, and on its real-world applications beyond academic research.

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Tinne Tuytelaars, Bing Liu, Vincenzo Lomonaco, Gido van de Ven, and Andrea Cossu. Deep Continual Learning (Dagstuhl Seminar 23122). In Dagstuhl Reports, Volume 13, Issue 3, pp. 74-91, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{tuytelaars_et_al:DagRep.13.3.74,
  author =	{Tuytelaars, Tinne and Liu, Bing and Lomonaco, Vincenzo and van de Ven, Gido and Cossu, Andrea},
  title =	{{Deep Continual Learning (Dagstuhl Seminar 23122)}},
  pages =	{74--91},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{13},
  number =	{3},
  editor =	{Tuytelaars, Tinne and Liu, Bing and Lomonaco, Vincenzo and van de Ven, Gido and Cossu, Andrea},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.3.74},
  URN =		{urn:nbn:de:0030-drops-192298},
  doi =		{10.4230/DagRep.13.3.74},
  annote =	{Keywords: continual learning, incremental learning}
}

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Deep Continual Learning (Dagstuhl Seminar 23122)

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