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Gido M. van de Ven

University of Groningen

27 papers hereh-index 184.4k citations42 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author4
  • middle author17
  • last author4

Across the 26 of 27 papers where every author was matched, so the position is known.

fields
  • cs.LG21
  • cs.CV3
  • cs.AI2
  • q-bio.NC1
affiliations
  • University of Groningen
Homepage
same name
  • Gido M. van de Ven — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedThree scenarios for continual learning

557 citations · 832 across the 25 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.LG2021★ 4 cited

Natural continual learning: success is a journey, not (just) a destination

Ta-Chu Kao, Kristopher T. Jensen, Gido M. van de Ven +2

Biological agents are known to learn many different tasks over the course of their lives, and to be able to revisit previous tasks and behaviors with little to no loss in performan…

cs.LG2021

Class-Incremental Learning with Generative Classifiers

Gido M. van de Ven, Zhe Li, Andreas S. Tolias

Incrementally training deep neural networks to recognize new classes is a challenging problem. Most existing class-incremental learning methods store data or use generative replay,…

cs.LG2021

Avalanche: an End-to-End Library for Continual Learning

Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu +25

Learning continually from non-stationary data streams is a long-standing goal and a challenging problem in machine learning. Recently, we have witnessed a renewed and fast-growing…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.