Gido M. van de Ven

Orcid: 0000-0002-5239-5660

Affiliations:
  • KU Leuven, Belgium


According to our database1, Gido M. van de Ven authored at least 17 papers between 2019 and 2023.

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Bibliography

2023
Deep Continual Learning (Dagstuhl Seminar 23122).
Dagstuhl Reports, March, 2023

Disentangled Continual Learning: Separating Memory Edits from Model Updates.
CoRR, 2023

Continual Learning of Diffusion Models with Generative Distillation.
CoRR, 2023

Continual Learning: Applications and the Road Forward.
CoRR, 2023

Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How.
CoRR, 2023

Prediction Error-based Classification for Class-Incremental Learning.
CoRR, 2023

Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting.
CoRR, 2023

Continual evaluation for lifelong learning: Identifying the stability gap.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Three types of incremental learning.
Nat. Mac. Intell., December, 2022

Biological underpinnings for lifelong learning machines.
Nat. Mach. Intell., 2022

Energy-Based Models for Continual Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Avalanche: an End-to-End Library for Continual Learning.
CoRR, 2021

Natural continual learning: success is a journey, not (just) a destination.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Class-Incremental Learning With Generative Classifiers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021


2020
Energy-Based Models for Continual Learning.
CoRR, 2020

2019
Three scenarios for continual learning.
CoRR, 2019


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