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Human few-shot learning of compositional instructions

Human few-shot learning of compositional instructions

14 January 2019
Brenden M. Lake
Tal Linzen
Marco Baroni
ArXivPDFHTML

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

18 / 68 papers shown
Title
Compositional Generalization via Neural-Symbolic Stack Machines
Compositional Generalization via Neural-Symbolic Stack Machines
Xinyun Chen
Chen Liang
Adams Wei Yu
D. Song
Denny Zhou
BDL
14
99
0
15 Aug 2020
What they do when in doubt: a study of inductive biases in seq2seq
  learners
What they do when in doubt: a study of inductive biases in seq2seq learners
Eugene Kharitonov
Rahma Chaabouni
6
27
0
26 Jun 2020
Compositional Generalization by Learning Analytical Expressions
Compositional Generalization by Learning Analytical Expressions
Qian Liu
Shengnan An
Jian-Guang Lou
Bei Chen
Zeqi Lin
Yan Gao
Bin Zhou
Nanning Zheng
Dongmei Zhang
CoGe
NAI
20
72
0
18 Jun 2020
Probing Linguistic Systematicity
Probing Linguistic Systematicity
Emily Goodwin
Koustuv Sinha
Timothy J. O'Donnell
96
58
0
08 May 2020
Teaching Machine Comprehension with Compositional Explanations
Teaching Machine Comprehension with Compositional Explanations
Qinyuan Ye
Xiao Huang
Elizabeth Boschee
Xiang Ren
LRM
ReLM
19
34
0
02 May 2020
Language (Re)modelling: Towards Embodied Language Understanding
Language (Re)modelling: Towards Embodied Language Understanding
Ronen Tamari
Chen Shani
Tom Hope
Miriam R. L. Petruck
Omri Abend
Dafna Shahaf
8
29
0
01 May 2020
Learning Compositional Rules via Neural Program Synthesis
Learning Compositional Rules via Neural Program Synthesis
Maxwell Nye
Armando Solar-Lezama
J. Tenenbaum
Brenden M. Lake
NAI
LRM
25
117
0
12 Mar 2020
A Benchmark for Systematic Generalization in Grounded Language
  Understanding
A Benchmark for Systematic Generalization in Grounded Language Understanding
Laura Ruis
Jacob Andreas
Marco Baroni
Diane Bouchacourt
Brenden M. Lake
6
138
0
11 Mar 2020
Ecological Semantics: Programming Environments for Situated Language
  Understanding
Ecological Semantics: Programming Environments for Situated Language Understanding
Ronen Tamari
Gabriel Stanovsky
Dafna Shahaf
Reut Tsarfaty
11
3
0
10 Mar 2020
Compositional Neural Machine Translation by Removing the Lexicon from
  Syntax
Compositional Neural Machine Translation by Removing the Lexicon from Syntax
Tristan Thrush
9
4
0
06 Feb 2020
Compositional Generalization for Primitive Substitutions
Compositional Generalization for Primitive Substitutions
Yuanpeng Li
Liang Zhao
Jianyu Wang
Joel Hestness
17
86
0
07 Oct 2019
Environmental drivers of systematicity and generalization in a situated
  agent
Environmental drivers of systematicity and generalization in a situated agent
Felix Hill
Andrew Kyle Lampinen
R. Schneider
S. Clark
M. Botvinick
James L. McClelland
Adam Santoro
OOD
4
103
0
01 Oct 2019
Analyzing machine-learned representations: A natural language case study
Analyzing machine-learned representations: A natural language case study
Ishita Dasgupta
Demi Guo
S. Gershman
Noah D. Goodman
NAI
14
12
0
12 Sep 2019
Do Neural Language Representations Learn Physical Commonsense?
Do Neural Language Representations Learn Physical Commonsense?
Maxwell Forbes
Ari Holtzman
Yejin Choi
NAI
LRM
AI4CE
13
106
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
23
14
0
24 Jun 2019
Compositional generalization through meta sequence-to-sequence learning
Compositional generalization through meta sequence-to-sequence learning
Brenden M. Lake
CoGe
27
196
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 processing
Guillermo Puebla
Andrea E. Martin
L. Doumas
19
10
0
12 May 2019
Good-Enough Compositional Data Augmentation
Good-Enough Compositional Data Augmentation
Jacob Andreas
30
230
0
21 Apr 2019
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