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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"
10 / 10 papers shown
Title
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
Lotem Elber-Dorozko
AI4CE
88
3
0
24 May 2024
Meta-Learned Models of Cognition
Marcel Binz
Ishita Dasgupta
Akshay K. Jagadish
M. Botvinick
Jane X. Wang
Eric Schulz
35
25
0
12 Apr 2023
A Property Induction Framework for Neural Language Models
Kanishka Misra
Julia Taylor Rayz
Allyson Ettinger
34
12
0
13 May 2022
Towards Zero-shot Language Modeling
Edoardo Ponti
Ivan Vulić
Ryan Cotterell
Roi Reichart
Anna Korhonen
30
19
0
06 Aug 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
225
180
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
82
53
0
15 Jan 2021
Emergent Communication Pretraining for Few-Shot Machine Translation
Yaoyiran Li
Edoardo Ponti
Ivan Vulić
Anna Korhonen
27
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
22
3
0
05 Oct 2020
Understanding Human Intelligence through Human Limitations
Thomas Griffiths
28
64
0
29 Sep 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
499
11,727
0
09 Mar 2017
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