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Learning Compositional Rules via Neural Program Synthesis

Learning Compositional Rules via Neural Program Synthesis

12 March 2020
Maxwell Nye
Armando Solar-Lezama
J. Tenenbaum
Brenden M. Lake
    NAI
    LRM
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Papers citing "Learning Compositional Rules via Neural Program Synthesis"

19 / 19 papers shown
Title
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis
Jipeng Han
71
0
0
02 Oct 2024
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Bhishma Dedhia
N. Jha
OCL
96
1
0
02 Feb 2024
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
51
143
0
11 Mar 2020
Compositional generalization through meta sequence-to-sequence learning
Compositional generalization through meta sequence-to-sequence learning
Brenden M. Lake
CoGe
80
199
0
12 Jun 2019
Write, Execute, Assess: Program Synthesis with a REPL
Write, Execute, Assess: Program Synthesis with a REPL
Kevin Ellis
Maxwell Nye
Yewen Pu
Felix Sosa
J. Tenenbaum
Armando Solar-Lezama
75
166
0
09 Jun 2019
Learning to Prove Theorems via Interacting with Proof Assistants
Learning to Prove Theorems via Interacting with Proof Assistants
Kaiyu Yang
Jia Deng
AIMat
LRM
96
144
0
21 May 2019
Compositional generalization in a deep seq2seq model by separating
  syntax and semantics
Compositional generalization in a deep seq2seq model by separating syntax and semantics
Jacob Russin
Jason Jo
R. C. O'Reilly
Yoshua Bengio
60
103
0
22 Apr 2019
Good-Enough Compositional Data Augmentation
Good-Enough Compositional Data Augmentation
Jacob Andreas
64
234
0
21 Apr 2019
Learning to Infer Program Sketches
Learning to Infer Program Sketches
Maxwell Nye
Luke B. Hewitt
J. Tenenbaum
Armando Solar-Lezama
NAI
87
113
0
17 Feb 2019
Human few-shot learning of compositional instructions
Human few-shot learning of compositional instructions
Brenden M. Lake
Tal Linzen
Marco Baroni
61
112
0
14 Jan 2019
Automatic Program Synthesis of Long Programs with a Learned Garbage
  Collector
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector
Amit Zohar
Lior Wolf
69
78
0
12 Sep 2018
Rearranging the Familiar: Testing Compositional Generalization in
  Recurrent Networks
Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks
J. Loula
Marco Baroni
Brenden M. Lake
KELM
CoGe
42
131
0
19 Jul 2018
Deep Learning: A Critical Appraisal
Deep Learning: A Critical Appraisal
G. Marcus
HAI
VLM
119
1,040
0
02 Jan 2018
RobustFill: Neural Program Learning under Noisy I/O
RobustFill: Neural Program Learning under Noisy I/O
Jacob Devlin
J. Uesato
Surya Bhupatiraju
Rishabh Singh
Abdel-rahman Mohamed
Pushmeet Kohli
72
390
0
21 Mar 2017
DeepCoder: Learning to Write Programs
DeepCoder: Learning to Write Programs
Matej Balog
Alexander L. Gaunt
Marc Brockschmidt
Sebastian Nowozin
Daniel Tarlow
AIMat
NAI
78
572
0
07 Nov 2016
Inference Compilation and Universal Probabilistic Programming
Inference Compilation and Universal Probabilistic Programming
T. Le
A. G. Baydin
Frank Wood
UQCV
177
143
0
31 Oct 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
362
7,955
0
17 Aug 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.5K
149,842
0
22 Dec 2014
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
97
2,325
0
20 Oct 2014
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