License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.13.3.74
URN: urn:nbn:de:0030-drops-192298
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/19229/
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Tuytelaars, Tinne ; Liu, Bing ; Lomonaco, Vincenzo ; van de Ven, Gido ; Cossu, Andrea
Weitere Beteiligte (Hrsg. etc.): Tinne Tuytelaars and Bing Liu and Vincenzo Lomonaco and Gido van de Ven and Andrea Cossu

Deep Continual Learning (Dagstuhl Seminar 23122)

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dagrep_v013_i003_p074_23122.pdf (2 MB)

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.

BibTeX - Entry

@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/opus/volltexte/2023/19229},
  URN =		{urn:nbn:de:0030-drops-192298},
  doi =		{10.4230/DagRep.13.3.74},
  annote =	{Keywords: continual learning, incremental learning}
}

Keywords: continual learning, incremental learning
Collection: DagRep, Volume 13, Issue 3
Issue Date: 2023
Date of publication: 16.10.2023

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