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A Memory-Augmented Neural Network Model of Abstract Rule Learning
v1v2 (latest)

A Memory-Augmented Neural Network Model of Abstract Rule Learning

13 December 2020
I. Sinha
Taylor Webb
Jonathan Cohen
ArXiv (abs)PDFHTML

Papers citing "A Memory-Augmented Neural Network Model of Abstract Rule Learning"

3 / 3 papers shown
Title
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction
The Relational Bottleneck as an Inductive Bias for Efficient AbstractionTrends in Cognitive Sciences (Trends Cogn Sci), 2023
Taylor Webb
Steven M. Frankland
Awni Altabaa
Simon N. Segert
Kamesh Krishnamurthy
...
Tyler Giallanza
Zack Dulberg
Randall O'Reilly
John Lafferty
Jonathan D. Cohen
250
34
0
12 Sep 2023
Deep Non-Monotonic Reasoning for Visual Abstract Reasoning Tasks
Deep Non-Monotonic Reasoning for Visual Abstract Reasoning Tasks
Yu’an Yang
Deepayan Sanyal
Joel Michelson
James Ainooson
M. Kunda
170
0
0
08 Feb 2023
Emergent Symbols through Binding in External Memory
Emergent Symbols through Binding in External MemoryInternational Conference on Learning Representations (ICLR), 2020
Taylor Webb
I. Sinha
Jonathan Cohen
197
67
0
29 Dec 2020
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