◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

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 2024Show all

4 papers · 1 filter

cs.AI2024★ 1 cited

Aligning Generalisation Between Humans and Machines

Filip Ilievski, Barbara Hammer, Frank van Harmelen +22

Recent advances in AI -- including generative approaches -- have resulted in technology that can support humans in scientific discovery and forming decisions, but may also disrupt…

cs.CV2024

Lifelong Learning of Video Diffusion Models From a Single Video Stream

Jason Yoo, Yingchen He, Saeid Naderiparizi +4

Video diffusion models can enable embodied agents to anticipate plausible futures from the recent past, but they are typically trained offline on curated datasets--a mismatch with…

cs.LG2024★ 3 cited

Continual Learning in the Presence of Repetition

Hamed Hemati, Lorenzo Pellegrini, Xiaotian Duan +11

Continual learning (CL) provides a framework for training models in ever-evolving environments. Although re-occurrence of previously seen objects or tasks is common in real-world p…

cs.LG2024★ 44 cited

Continual Learning and Catastrophic Forgetting

Gido M. van de Ven, Nicholas Soures, Dhireesha Kudithipudi

This book chapter delves into the dynamics of continual learning, which is the process of incrementally learning from a non-stationary stream of data. Although continual learning i…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.