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Adaptive Neural Compilation

Adaptive Neural Compilation

25 May 2016
Rudy Bunel
Alban Desmaison
Pushmeet Kohli
Philip Torr
P. Mudigonda
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Papers citing "Adaptive Neural Compilation"

12 / 12 papers shown
Title
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
Learning to Perform Local Rewriting for Combinatorial Optimization
Learning to Perform Local Rewriting for Combinatorial Optimization
Xinyun Chen
Yuandong Tian
NAI
OffRL
48
338
0
30 Sep 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
217
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
Learning Explanatory Rules from Noisy Data
Learning Explanatory Rules from Noisy Data
Richard Evans
Edward Grefenstette
76
479
0
13 Nov 2017
Not all bytes are equal: Neural byte sieve for fuzzing
Not all bytes are equal: Neural byte sieve for fuzzing
Mohit Rajpal
W. Blum
Rishabh Singh
24
120
0
10 Nov 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
Learning to superoptimize programs - Workshop Version
Learning to superoptimize programs - Workshop Version
Rudy Bunel
Alban Desmaison
M. P. Kumar
Philip Torr
Pushmeet Kohli
27
10
0
04 Dec 2016
DeepCoder: Learning to Write Programs
DeepCoder: Learning to Write Programs
Matej Balog
Alexander L. Gaunt
Marc Brockschmidt
Sebastian Nowozin
Daniel Tarlow
AIMat
NAI
36
567
0
07 Nov 2016
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
Programming with a Differentiable Forth Interpreter
Programming with a Differentiable Forth Interpreter
Matko Bosnjak
Tim Rocktaschel
Jason Naradowsky
Sebastian Riedel
17
148
0
21 May 2016
Learning Efficient Algorithms with Hierarchical Attentive Memory
Learning Efficient Algorithms with Hierarchical Attentive Memory
Marcin Andrychowicz
Karol Kurach
41
51
0
09 Feb 2016
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