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1709.06182
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A Survey of Machine Learning for Big Code and Naturalness
18 September 2017
Miltiadis Allamanis
Earl T. Barr
Premkumar T. Devanbu
Charles Sutton
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Papers citing
"A Survey of Machine Learning for Big Code and Naturalness"
21 / 121 papers shown
Title
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda
Konstantin D. Pandl
Scott Thiebes
Manuel Schmidt-Kraepelin
Ali Sunyaev
38
69
0
29 Jan 2020
Commit2Vec: Learning Distributed Representations of Code Changes
Rocío Cabrera Lozoya
Arnaud Baumann
A. Sabetta
M. Bezzi
SSL
15
45
0
18 Nov 2019
TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing
Vinoj Jayasundara
Nghi D. Q. Bui
Lingxiao Jiang
David Lo
28
16
0
27 Oct 2019
Do People Prefer "Natural" code?
Casey Casalnuovo
Kevin Lee
Hulin Wang
Premkumar T. Devanbu
Emily Morgan
11
6
0
08 Oct 2019
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Hamel Husain
Hongqiu Wu
Tiferet Gazit
Miltiadis Allamanis
Marc Brockschmidt
ELM
81
1,050
0
20 Sep 2019
IR2Vec: LLVM IR based Scalable Program Embeddings
Venkata Keerthy
Rohit Aggarwal
Shalini Jain
Maunendra Sankar
Ramakrishna Upadrasta
Desarkar
24
10
0
13 Sep 2019
Learning Execution through Neural Code Fusion
Zhan Shi
Kevin Swersky
Daniel Tarlow
Parthasarathy Ranganathan
Milad Hashemi
GNN
21
29
0
17 Jun 2019
SAR: Learning Cross-Language API Mappings with Little Knowledge
Nghi D. Q. Bui
Y. Yu
Lingxiao Jiang
28
28
0
10 Jun 2019
Neural Networks for Modeling Source Code Edits
Rui Zhao
David Bieber
Kevin Swersky
Daniel Tarlow
19
12
0
04 Apr 2019
A Convolutional Neural Network for Language-Agnostic Source Code Summarization
Jessica Moore
Ben U. Gelman
David Slater
21
20
0
29 Mar 2019
Import2vec - Learning Embeddings for Software Libraries
B. Theeten
Frederik Vandeputte
Tom Van Cutsem
SSL
19
34
0
27 Mar 2019
Maybe Deep Neural Networks are the Best Choice for Modeling Source Code
Rafael-Michael Karampatsis
Charles Sutton
32
54
0
13 Mar 2019
Program Classification Using Gated Graph Attention Neural Network for Online Programming Service
Mingming Lu
Dingwu Tan
N. Xiong
Zailiang Chen
Haifeng Li
15
11
0
09 Mar 2019
Neural Code Comprehension: A Learnable Representation of Code Semantics
Tal Ben-Nun
Alice Shoshana Jakobovits
Torsten Hoefler
18
239
0
19 Jun 2018
Studying the Difference Between Natural and Programming Language Corpora
Casey Casalnuovo
Kenji Sagae
Premkumar T. Devanbu
29
34
0
06 Jun 2018
Generative Code Modeling with Graphs
Marc Brockschmidt
Miltiadis Allamanis
Alexander L. Gaunt
Oleksandr Polozov
40
178
0
22 May 2018
Machine Learning in Compiler Optimisation
Zheng Wang
Michael F. P. O'Boyle
VLM
22
77
0
09 May 2018
code2vec: Learning Distributed Representations of Code
Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
14
1,157
0
26 Mar 2018
Automated software vulnerability detection with machine learning
Jacob A. Harer
Louis Y. Kim
Rebecca L. Russell
Onur Ozdemir
Leonard Kosta
...
Alan Mackay
M. McConley
J. M. Opper
Peter Chin
Tomo Lazovich
34
163
0
14 Feb 2018
Tree-to-tree Neural Networks for Program Translation
Xinyun Chen
Chang-rui Liu
D. Song
18
275
0
11 Feb 2018
sk_p: a neural program corrector for MOOCs
Yewen Pu
Karthik Narasimhan
Armando Solar-Lezama
Regina Barzilay
37
120
0
11 Jul 2016
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