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Human few-shot learning of compositional instructions
v1v2 (latest)

Human few-shot learning of compositional instructions

14 January 2019
Brenden M. Lake
Tal Linzen
Marco Baroni
ArXiv (abs)PDFHTML

Papers citing "Human few-shot learning of compositional instructions"

7 / 57 papers shown
Title
Environmental drivers of systematicity and generalization in a situated
  agent
Environmental drivers of systematicity and generalization in a situated agentInternational Conference on Learning Representations (ICLR), 2019
Felix Hill
Andrew Kyle Lampinen
R. Schneider
S. Clark
M. Botvinick
James L. McClelland
Adam Santoro
OOD
254
109
0
01 Oct 2019
Analyzing machine-learned representations: A natural language case study
Analyzing machine-learned representations: A natural language case studyCognitive Sciences (CS), 2019
Ishita Dasgupta
Demi Guo
S. Gershman
Noah D. Goodman
NAI
114
13
0
12 Sep 2019
Do Neural Language Representations Learn Physical Commonsense?
Do Neural Language Representations Learn Physical Commonsense?Annual Meeting of the Cognitive Science Society (CogSci), 2019
Maxwell Forbes
Ari Holtzman
Yejin Choi
NAILRMAI4CE
95
112
0
08 Aug 2019
Mutual exclusivity as a challenge for deep neural networks
Mutual exclusivity as a challenge for deep neural networks
Kanishk Gandhi
Brenden M. Lake
158
14
0
24 Jun 2019
Compositional generalization through meta sequence-to-sequence learning
Compositional generalization through meta sequence-to-sequence learningNeural Information Processing Systems (NeurIPS), 2019
Brenden M. Lake
CoGe
211
201
0
12 Jun 2019
The relational processing limits of classic and contemporary neural
  network models of language processing
The relational processing limits of classic and contemporary neural network models of language processingLanguage, Cognition and Neuroscience (LCN), 2019
Guillermo Puebla
Andrea E. Martin
L. Doumas
87
10
0
12 May 2019
Good-Enough Compositional Data Augmentation
Good-Enough Compositional Data Augmentation
Jacob Andreas
330
240
0
21 Apr 2019
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