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Meta-learning: Data, architecture, and both.
Behav. Brain Res. 47:e170 (2024)
We are encouraged by the many positive commentaries on our target article. In this response, we recapitulate some of the points raised and identify synergies between them. We have arranged our response based on the tension between data and architecture that arises in the meta-learning framework. We additionally provide a short discussion that touches upon connections to foundation models.
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Publication type
Article: Journal article
Document type
Other: News Item
Language
english
Publication Year
2024
HGF-reported in Year
2024
ISSN (print) / ISBN
0166-4328
e-ISSN
1872-7549
Journal
Behavioural Brain Research
Quellenangaben
Volume: 47,
Article Number: e170
Publisher
Elsevier
Reviewing status
Peer reviewed
Institute(s)
Institute of AI for Health (AIH)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-540011-001
PubMed ID
39311510
Erfassungsdatum
2024-09-30