arrow
Return

Meta-learning: Data, architecture, and both

delete2024-09-23
delete0
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
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
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
Cited Papers

Cited Papers

Heuristics From Bounded Meta-Learned Inference
err2022-10-01
err17
errOAAI
errBinz, Marcel; Gershman, Samuel J.; Schulz, Eric; Endres, Dominik
errShare
errSave
Influence of Mesh Materials on the Expression of Mediators Involved in Wound Healing
err2011-02-23
err0
PREAI
errJennifer R. Asarias; Phuoc T. Nguyen; Jamie R. Mings; Alan P. Gehrich; Lisa M. Pierce
errShare
errSave
err
IF0
err
err0
PREAI
err
errShare
errSave
errShare
errSave
Blood vessel matrix: a new alternative for abdominal wall reconstruction
err2008-01-31
err0
PREAI
errC. F. Bellows; W. Jian; M. K. McHale; D. Cardenas; J. L. West; S. P. Lerner; G. E. Amiel
errShare
errSave
A Theory of Learning to Infer
err2020-04-01
err48
errOAAI
errDasgupta, Ishita; Schulz, Eric; Tenenbaum, Joshua B.; Gershman, Samuel J.
errShare
errSave
no more