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2006.16324
Cited By
Universal linguistic inductive biases via meta-learning
29 June 2020
R. Thomas McCoy
Erin Grant
P. Smolensky
Thomas Griffiths
Tal Linzen
FedML
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Papers citing
"Universal linguistic inductive biases via meta-learning"
12 / 12 papers shown
Title
Distinct Computations Emerge From Compositional Curricula in In-Context Learning
Jin Hwa Lee
Andrew Kyle Lampinen
Aaditya K. Singh
Andrew Saxe
23
0
0
16 Jun 2025
Meta-Learning Neural Mechanisms rather than Bayesian Priors
Michael Goodale
Salvador Mascarenhas
Yair Lakretz
150
1
0
20 Mar 2025
Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases
Michael Y. Hu
Jackson Petty
Chuan Shi
William Merrill
Tal Linzen
AI4CE
135
2
0
26 Feb 2025
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
Lotem Elber-Dorozko
AI4CE
189
4
0
24 May 2024
A Property Induction Framework for Neural Language Models
Kanishka Misra
Julia Taylor Rayz
Allyson Ettinger
74
12
0
13 May 2022
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning
Sreejan Kumar
Ishita Dasgupta
Nathaniel D. Daw
Jonathan Cohen
Thomas Griffiths
80
10
0
04 Apr 2022
Changing the World by Changing the Data
Anna Rogers
76
73
0
28 May 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
301
185
0
18 Apr 2021
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Yuhuai Wu
M. Rabe
Wenda Li
Jimmy Ba
Roger C. Grosse
Christian Szegedy
AIMat
LRM
142
57
0
15 Jan 2021
Emergent Communication Pretraining for Few-Shot Machine Translation
Yaoyiran Li
Edoardo Ponti
Ivan Vulić
Anna Korhonen
106
19
0
02 Nov 2020
Meta-Learning of Structured Task Distributions in Humans and Machines
Sreejan Kumar
Ishita Dasgupta
Jonathan Cohen
Nathaniel D. Daw
Thomas Griffiths
OffRL
68
2
0
05 Oct 2020
Understanding Human Intelligence through Human Limitations
Thomas Griffiths
94
68
0
29 Sep 2020
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