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Maybe Deep Neural Networks are the Best Choice for Modeling Source Code

Maybe Deep Neural Networks are the Best Choice for Modeling Source Code

13 March 2019
Rafael-Michael Karampatsis
Charles Sutton
ArXivPDFHTML

Papers citing "Maybe Deep Neural Networks are the Best Choice for Modeling Source Code"

5 / 5 papers shown
Title
Automated Source Code Generation and Auto-completion Using Deep
  Learning: Comparing and Discussing Current Language-Model-Related Approaches
Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches
Juan Cruz-Benito
Sanjay Vishwakarma
Francisco Martín-Fernández
Ismael Faro Ibm Quantum
22
30
0
16 Sep 2020
A Systematic Literature Review on the Use of Deep Learning in Software
  Engineering Research
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
Cody Watson
Nathan Cooper
David Nader-Palacio
Kevin Moran
Denys Poshyvanyk
26
111
0
14 Sep 2020
On the Generalizability of Neural Program Models with respect to
  Semantic-Preserving Program Transformations
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations
Md Rafiqul Islam Rabin
Nghi D. Q. Bui
Ke Wang
Yijun Yu
Lingxiao Jiang
Mohammad Amin Alipour
30
90
0
31 Jul 2020
Sequence Model Design for Code Completion in the Modern IDE
Sequence Model Design for Code Completion in the Modern IDE
Gareth Ari Aye
Gail E. Kaiser
15
30
0
10 Apr 2020
Typilus: Neural Type Hints
Typilus: Neural Type Hints
Miltiadis Allamanis
Earl T. Barr
Soline Ducousso
Zheng Gao
24
130
0
06 Apr 2020
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