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Meta-learning: Data, architecture, and both

delete2024-09-23
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PRE
AI
M
Marcel Binz *
I
Ishita Dasgupta
A
Akshay Kumar Jagadish
M
Matthew Botvinick
J
Jane X. Wang
E
Eric Schulz
DOI:10.1017/S0140525X24000311delete
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Abstract

Abstract

En 中文
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.

Journal

Behavioral and Brain Sciences cover
Behavioral and Brain Sciences
IF:
13.7
Papers:
1.6W
Citations:
1.2W

Organization

M
Max Planck Society
Scholars:
8.2W
Papers: 7.7W
Citations: 3.3W