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Compositional generalization through meta sequence-to-sequence learning
v1v2 (latest)

Compositional generalization through meta sequence-to-sequence learning

12 June 2019
Brenden M. Lake
    CoGe
ArXiv (abs)PDFHTML

Papers citing "Compositional generalization through meta sequence-to-sequence learning"

33 / 133 papers shown
Title
Hierarchical Poset Decoding for Compositional Generalization in Language
Hierarchical Poset Decoding for Compositional Generalization in Language
Yinuo Guo
Zeqi Lin
Jian-Guang Lou
Dongmei Zhang
AI4CE
122
31
0
15 Oct 2020
The EOS Decision and Length Extrapolation
The EOS Decision and Length Extrapolation
Benjamin Newman
John Hewitt
Percy Liang
Christopher D. Manning
86
49
0
14 Oct 2020
COGS: A Compositional Generalization Challenge Based on Semantic
  Interpretation
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation
Najoung Kim
Tal Linzen
CoGe
81
282
0
12 Oct 2020
Meta-Active Learning for Node Response Prediction in Graphs
Meta-Active Learning for Node Response Prediction in Graphs
Tomoharu Iwata
25
0
0
12 Oct 2020
Learning to Recombine and Resample Data for Compositional Generalization
Learning to Recombine and Resample Data for Compositional Generalization
Ekin Akyürek
Afra Feyza Akyürek
Jacob Andreas
82
81
0
08 Oct 2020
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
Ramakrishna Vedantam
Arthur Szlam
Maximilian Nickel
Ari S. Morcos
Brenden M. Lake
UQLMLRM
68
27
0
06 Oct 2020
Meta-Learning of Structured Task Distributions in Humans and Machines
Meta-Learning of Structured Task Distributions in Humans and Machines
Sreejan Kumar
Ishita Dasgupta
Jonathan Cohen
Nathaniel D. Daw
Thomas Griffiths
OffRL
66
2
0
05 Oct 2020
Measuring Systematic Generalization in Neural Proof Generation with
  Transformers
Measuring Systematic Generalization in Neural Proof Generation with Transformers
Nicolas Angelard-Gontier
Koustuv Sinha
Siva Reddy
C. Pal
LRM
106
64
0
30 Sep 2020
Few-shot Learning for Time-series Forecasting
Few-shot Learning for Time-series Forecasting
Tomoharu Iwata
Atsutoshi Kumagai
AI4TS
51
18
0
30 Sep 2020
Think before you act: A simple baseline for compositional generalization
Think before you act: A simple baseline for compositional generalization
C. Heinze-Deml
Diane Bouchacourt
CoGe
82
16
0
29 Sep 2020
Span-based Semantic Parsing for Compositional Generalization
Span-based Semantic Parsing for Compositional Generalization
Jonathan Herzig
Jonathan Berant
ReLMLRM
78
102
0
13 Sep 2020
Grounded Language Learning Fast and Slow
Grounded Language Learning Fast and Slow
Felix Hill
O. Tieleman
Tamara von Glehn
Nathaniel Wong
Hamza Merzic
S. Clark
LM&Ro
148
81
0
03 Sep 2020
Compositional Generalization via Neural-Symbolic Stack Machines
Compositional Generalization via Neural-Symbolic Stack Machines
Xinyun Chen
Chen Liang
Adams Wei Yu
Basel Alomair
Denny Zhou
BDL
79
101
0
15 Aug 2020
Learning abstract structure for drawing by efficient motor program
  induction
Learning abstract structure for drawing by efficient motor program induction
Lucas Y. Tian
Kevin Ellis
Marta Kryven
J. Tenenbaum
87
37
0
08 Aug 2020
Word meaning in minds and machines
Word meaning in minds and machines
Brenden M. Lake
G. Murphy
NAI
112
118
0
04 Aug 2020
Analogical Reasoning for Visually Grounded Language Acquisition
Analogical Reasoning for Visually Grounded Language Acquisition
Bo Wu
Haoyu Qin
Alireza Zareian
Carl Vondrick
Shih-Fu Chang
46
9
0
22 Jul 2020
Compositional Generalization in Semantic Parsing: Pre-training vs.
  Specialized Architectures
Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures
Daniel Furrer
Marc van Zee
Nathan Scales
Nathanael Scharli
CoGe
97
114
0
17 Jul 2020
Generative Compositional Augmentations for Scene Graph Prediction
Generative Compositional Augmentations for Scene Graph Prediction
Boris Knyazev
H. D. Vries
Cătălina Cangea
Graham W. Taylor
Aaron Courville
Eugene Belilovsky
97
26
0
11 Jul 2020
Universal linguistic inductive biases via meta-learning
Universal linguistic inductive biases via meta-learning
R. Thomas McCoy
Erin Grant
P. Smolensky
Thomas Griffiths
Tal Linzen
FedML
53
27
0
29 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
CoGeNAI
76
73
0
18 Jun 2020
Systematic Generalisation through Task Temporal Logic and Deep
  Reinforcement Learning
Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning
Borja G. Leon
Murray Shanahan
Francesco Belardinelli
NAIAI4CE
90
29
0
12 Jun 2020
Zero-Shot Compositional Policy Learning via Language Grounding
Zero-Shot Compositional Policy Learning via Language Grounding
Tianshi Cao
Jingkang Wang
Yining Zhang
S. Manivasagam
LM&Ro
62
2
0
15 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
418
1,998
0
11 Apr 2020
Revisit Systematic Generalization via Meaningful Learning
Revisit Systematic Generalization via Meaningful Learning
Ning Shi
Wei Ping
Wei Wang
Xiangyu Liu
Zhouhan Lin
69
2
0
14 Mar 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
NAILRM
83
119
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
109
145
0
11 Mar 2020
Compositional Neural Machine Translation by Removing the Lexicon from
  Syntax
Compositional Neural Machine Translation by Removing the Lexicon from Syntax
Tristan Thrush
38
4
0
06 Feb 2020
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent
  Communication)
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
Marek Rosa
O. Afanasjeva
Simon Andersson
Joseph Davidson
N. Guttenberg
Petr Hlubucek
Martin Poliak
Jaroslav Vítků
Jan Feyereisl
77
10
0
03 Dec 2019
Learning to Learn Words from Visual Scenes
Learning to Learn Words from Visual Scenes
Dídac Surís
Dave Epstein
Heng Ji
Shih-Fu Chang
Carl Vondrick
VLMCLIPSSLOffRL
59
4
0
25 Nov 2019
Capacity, Bandwidth, and Compositionality in Emergent Language Learning
Capacity, Bandwidth, and Compositionality in Emergent Language Learning
Cinjon Resnick
Abhinav Gupta
Jakob N. Foerster
Andrew M. Dai
Kyunghyun Cho
71
50
0
24 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
136
107
0
01 Oct 2019
Mutual exclusivity as a challenge for deep neural networks
Mutual exclusivity as a challenge for deep neural networks
Kanishk Gandhi
Brenden M. Lake
91
14
0
24 Jun 2019
People infer recursive visual concepts from just a few examples
People infer recursive visual concepts from just a few examples
Brenden M. Lake
Steven T Piantadosi
BDLDRL
64
41
0
17 Apr 2019
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