A comprehensive study of class incremental learning algorithms for visual tasks-Reference-Cited by-同舟云学术

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A comprehensive study of class incremental learning algorithms for visual tasks

Published:2021-03 Issue: Volume:135 Page:38-54
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Belouadah Eden^ORCID,Popescu Adrian^ORCID,Kanellos Ioannis^ORCID

Funder

European Union’s Horizon 2020 research and innovation program

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference85 articles.

1. Incremental learning for visual classification using neural gas;Aleo,2010

2. Memory aware synapses: Learning what (not) to forget;Aljundi,2018

3. Expert gate: Lifelong learning with a network of experts;Aljundi,2017

4. Task-free continual learning;Aljundi,2019

5. Online incremental supervised growing neural gas;Belfort,2017

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