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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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摘要

摘要

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.

期刊

Behavioral and Brain Sciences 封面图
Behavioral and Brain Sciences
IF:
13.7
论文数:
1.6W
被引数:
1.2W

机构

M
Max Planck Society
学者数:
8.2W
论文数: 7.7W
被引数: 3.3W
引用论文

引用论文

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