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DeepCoder: Learning to Write Programs

DeepCoder: Learning to Write Programs

7 November 2016
Matej Balog
Alexander L. Gaunt
Marc Brockschmidt
Sebastian Nowozin
Daniel Tarlow
    AIMat
    NAI
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Papers citing "DeepCoder: Learning to Write Programs"

33 / 83 papers shown
Title
Learning programs by learning from failures
Learning programs by learning from failures
Andrew Cropper
Rolf Morel
31
87
0
05 May 2020
TF-Coder: Program Synthesis for Tensor Manipulations
TF-Coder: Program Synthesis for Tensor Manipulations
Kensen Shi
David Bieber
Rishabh Singh
17
41
0
19 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
NAI
LRM
28
117
0
12 Mar 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real
Chen Liang
David R. So
Quoc V. Le
39
220
0
06 Mar 2020
Grammar Filtering For Syntax-Guided Synthesis
Grammar Filtering For Syntax-Guided Synthesis
K. Morton
William T. Hallahan
Elven Shum
R. Piskac
Mark Santolucito
31
10
0
07 Feb 2020
Forgetting to learn logic programs
Forgetting to learn logic programs
Andrew Cropper
CLL
27
16
0
15 Nov 2019
Sketch2Code: Transformation of Sketches to UI in Real-time Using Deep
  Neural Network
Sketch2Code: Transformation of Sketches to UI in Real-time Using Deep Neural Network
Vanita Jain
P. Agrawal
Subham Banga
R. Kapoor
Shashwat Gulyani
16
30
0
20 Oct 2019
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain
  Context-based Code Generation
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation
R. Agashe
R. Campello
Arthur Zimek
36
83
0
05 Oct 2019
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
Feras A. Saad
Marco F. Cusumano-Towner
Ulrich Schaechtle
Martin Rinard
Vikash K. Mansinghka
33
58
0
14 Jul 2019
Program Synthesis and Semantic Parsing with Learned Code Idioms
Program Synthesis and Semantic Parsing with Learned Code Idioms
Richard Shin
Miltiadis Allamanis
Marc Brockschmidt
Oleksandr Polozov
24
87
0
26 Jun 2019
Learning Execution through Neural Code Fusion
Learning Execution through Neural Code Fusion
Zhan Shi
Kevin Swersky
Daniel Tarlow
Parthasarathy Ranganathan
Milad Hashemi
GNN
21
29
0
17 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
30
166
0
09 Jun 2019
Learning Compositional Neural Programs with Recursive Tree Search and
  Planning
Learning Compositional Neural Programs with Recursive Tree Search and Planning
Thomas Pierrot
Guillaume Ligner
Scott E. Reed
Olivier Sigaud
Nicolas Perrin
Alexandre Laterre
David Kas
Karim Beguir
Nando de Freitas
41
41
0
30 May 2019
When Deep Learning Met Code Search
When Deep Learning Met Code Search
J. Cambronero
Hongyu Li
Seohyun Kim
Koushik Sen
S. Chandra
CLIP
29
218
0
09 May 2019
Learning to Infer Program Sketches
Learning to Infer Program Sketches
Maxwell Nye
Luke B. Hewitt
J. Tenenbaum
Armando Solar-Lezama
NAI
18
113
0
17 Feb 2019
Recurrent Neural Networks for Fuzz Testing Web Browsers
Recurrent Neural Networks for Fuzz Testing Web Browsers
Martin Sablotny
B. S. Jensen
Chris W. Johnson
9
8
0
12 Dec 2018
A Retrieve-and-Edit Framework for Predicting Structured Outputs
A Retrieve-and-Edit Framework for Predicting Structured Outputs
Tatsunori B. Hashimoto
Kelvin Guu
Yonatan Oren
Percy Liang
BDL
KELM
36
174
0
04 Dec 2018
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language
  Understanding
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Kexin Yi
Jiajun Wu
Chuang Gan
Antonio Torralba
Pushmeet Kohli
J. Tenenbaum
NAI
46
599
0
04 Oct 2018
Relay: A New IR for Machine Learning Frameworks
Relay: A New IR for Machine Learning Frameworks
Jared Roesch
Steven Lyubomirsky
Logan Weber
Josh Pollock
Marisa Kirisame
Tianqi Chen
Zachary Tatlock
16
104
0
26 Sep 2018
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
36
78
0
12 Sep 2018
Neural Guided Constraint Logic Programming for Program Synthesis
Neural Guided Constraint Logic Programming for Program Synthesis
Lisa Zhang
Gregory Rosenblatt
Ethan Fetaya
Renjie Liao
William E. Byrd
M. Might
R. Urtasun
R. Zemel
NAI
11
30
0
08 Sep 2018
NAPS: Natural Program Synthesis Dataset
NAPS: Natural Program Synthesis Dataset
Maksym Zavershynskyi
Alexander Skidanov
Illia Polosukhin
ReCod
18
36
0
06 Jul 2018
Leveraging Grammar and Reinforcement Learning for Neural Program
  Synthesis
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
Rudy Bunel
Matthew J. Hausknecht
Jacob Devlin
Rishabh Singh
Pushmeet Kohli
NAI
29
216
0
11 May 2018
HOUDINI: Lifelong Learning as Program Synthesis
HOUDINI: Lifelong Learning as Program Synthesis
Lazar Valkov
Dipak Chaudhari
Akash Srivastava
Charles Sutton
Swarat Chaudhuri
24
79
0
31 Mar 2018
The Three Pillars of Machine Programming
The Three Pillars of Machine Programming
Justin Emile Gottschlich
Armando Solar-Lezama
Nesime Tatbul
Michael Carbin
Martin Rinard
Regina Barzilay
Saman P. Amarasinghe
J. Tenenbaum
Tim Mattson
19
62
0
20 Mar 2018
Tree-to-tree Neural Networks for Program Translation
Tree-to-tree Neural Networks for Program Translation
Xinyun Chen
Chang-rui Liu
D. Song
18
275
0
11 Feb 2018
Using Program Induction to Interpret Transition System Dynamics
Using Program Induction to Interpret Transition System Dynamics
Svetlin Penkov
S. Ramamoorthy
AI4CE
30
11
0
26 Jul 2017
Towards Synthesizing Complex Programs from Input-Output Examples
Towards Synthesizing Complex Programs from Input-Output Examples
Xinyun Chen
Chang-rui Liu
D. Song
NAI
21
11
0
05 Jun 2017
pix2code: Generating Code from a Graphical User Interface Screenshot
pix2code: Generating Code from a Graphical User Interface Screenshot
Tony Beltramelli
30
267
0
22 May 2017
Inferring and Executing Programs for Visual Reasoning
Inferring and Executing Programs for Visual Reasoning
Justin Johnson
B. Hariharan
L. V. D. van der Maaten
Judy Hoffman
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
NAI
23
541
0
10 May 2017
Abstract Syntax Networks for Code Generation and Semantic Parsing
Abstract Syntax Networks for Code Generation and Semantic Parsing
Maxim Rabinovich
Mitchell Stern
Dan Klein
47
359
0
25 Apr 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 Jan 2017
TerpreT: A Probabilistic Programming Language for Program Induction
TerpreT: A Probabilistic Programming Language for Program Induction
Alexander L. Gaunt
Marc Brockschmidt
Rishabh Singh
Nate Kushman
Pushmeet Kohli
Jonathan Taylor
Daniel Tarlow
35
123
0
15 Aug 2016
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