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A Survey of Deep Learning Models for Structural Code Understanding

A Survey of Deep Learning Models for Structural Code Understanding

3 May 2022
Ruoting Wu
Yuxin Zhang
Qibiao Peng
Liang Chen
Zibin Zheng
ArXiv (abs)PDFHTML

Papers citing "A Survey of Deep Learning Models for Structural Code Understanding"

42 / 92 papers shown
Title
The Adverse Effects of Code Duplication in Machine Learning Models of
  Code
The Adverse Effects of Code Duplication in Machine Learning Models of Code
Miltiadis Allamanis
78
322
0
16 Dec 2018
Improving Automatic Source Code Summarization via Deep Reinforcement
  Learning
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
Yao Wan
Zhou Zhao
Min Yang
Guandong Xu
Haochao Ying
Jian Wu
Philip S. Yu
72
392
0
17 Nov 2018
Structured Neural Summarization
Structured Neural Summarization
Patrick Fernandes
Miltiadis Allamanis
Marc Brockschmidt
GNN
85
212
0
05 Nov 2018
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Milan Cvitkovic
Badal Singh
Anima Anandkumar
68
50
0
18 Oct 2018
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic
  Parsing and Code Generation
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
Pengcheng Yin
Graham Neubig
MU
79
233
0
05 Oct 2018
SCC: Automatic Classification of Code Snippets
SCC: Automatic Classification of Code Snippets
Kamel Alreshedy
Dhanush Dharmaretnam
D. Germán
Venkatesh Srinivasan
T. Gulliver
12
18
0
21 Sep 2018
Mapping Language to Code in Programmatic Context
Mapping Language to Code in Programmatic Context
Srinivasan Iyer
Ioannis Konstas
Alvin Cheung
Luke Zettlemoyer
76
238
0
29 Aug 2018
Neural Machine Translation Inspired Binary Code Similarity Comparison
  beyond Function Pairs
Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs
F. Zuo
Xiaopeng Li
Patrick Young
Lannan Luo
Qiang Zeng
Zhexin Zhang
89
230
0
08 Aug 2018
code2seq: Generating Sequences from Structured Representations of Code
code2seq: Generating Sequences from Structured Representations of Code
Uri Alon
Shaked Brody
Omer Levy
Eran Yahav
119
700
0
04 Aug 2018
Deep learning at the shallow end: Malware classification for non-domain
  experts
Deep learning at the shallow end: Malware classification for non-domain experts
Quan Le
Oisín Boydell
Brian Mac Namee
Mark Scanlon
124
173
0
22 Jul 2018
Neural Code Comprehension: A Learnable Representation of Code Semantics
Neural Code Comprehension: A Learnable Representation of Code Semantics
Tal Ben-Nun
Alice Shoshana Jakobovits
Torsten Hoefler
70
243
0
19 Jun 2018
Learning to Mine Aligned Code and Natural Language Pairs from Stack
  Overflow
Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow
Pengcheng Yin
Bowen Deng
Edgar Chen
Bogdan Vasilescu
Graham Neubig
77
304
0
23 May 2018
Generative Code Modeling with Graphs
Generative Code Modeling with Graphs
Marc Brockschmidt
Miltiadis Allamanis
Alexander L. Gaunt
Oleksandr Polozov
86
178
0
22 May 2018
A General Path-Based Representation for Predicting Program Properties
A General Path-Based Representation for Predicting Program Properties
Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
46
207
0
26 Mar 2018
code2vec: Learning Distributed Representations of Code
code2vec: Learning Distributed Representations of Code
Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
77
1,185
0
26 Mar 2018
Self-Attention with Relative Position Representations
Self-Attention with Relative Position Representations
Peter Shaw
Jakob Uszkoreit
Ashish Vaswani
190
2,304
0
06 Mar 2018
NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to
  the Linux Operating System
NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System
Xi Lin
Chenglong Wang
Luke Zettlemoyer
Michael D. Ernst
152
168
0
25 Feb 2018
Code Completion with Neural Attention and Pointer Networks
Code Completion with Neural Attention and Pointer Networks
Jian Li
Yue Wang
Michael R. Lyu
Irwin King
87
236
0
27 Nov 2017
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNNNAI
123
805
0
01 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
489
20,295
0
30 Oct 2017
A Survey of Machine Learning for Big Code and Naturalness
A Survey of Machine Learning for Big Code and Naturalness
Miltiadis Allamanis
Earl T. Barr
Premkumar T. Devanbu
Charles Sutton
119
860
0
18 Sep 2017
Neural Network-based Graph Embedding for Cross-Platform Binary Code
  Similarity Detection
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection
Xiaojun Xu
Chang-rui Liu
Qian Feng
Heng Yin
Le Song
Basel Alomair
GNN
82
587
0
22 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
819
132,725
0
12 Jun 2017
Neural Attribute Machines for Program Generation
Neural Attribute Machines for Program Generation
Matthew Amodio
Swarat Chaudhuri
Thomas W. Reps
63
35
0
25 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
103
362
0
25 Apr 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
600
7,500
0
04 Apr 2017
Learning Python Code Suggestion with a Sparse Pointer Network
Learning Python Code Suggestion with a Sparse Pointer Network
Avishkar Bhoopchand
Tim Rocktaschel
Earl T. Barr
Sebastian Riedel
64
87
0
24 Nov 2016
Latent Attention For If-Then Program Synthesis
Latent Attention For If-Then Program Synthesis
Xinyun Chen
Chang-rui Liu
E. C. Shin
Basel Alomair
Mingcheng Chen
83
70
0
07 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
689
29,220
0
09 Sep 2016
A deep language model for software code
A deep language model for software code
K. Dam
T. Tran
Trang Pham
48
109
0
09 Aug 2016
A Convolutional Attention Network for Extreme Summarization of Source
  Code
A Convolutional Attention Network for Extreme Summarization of Source Code
Miltiadis Allamanis
Hao Peng
Charles Sutton
AI4TS
90
585
0
09 Feb 2016
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
351
3,291
0
17 Nov 2015
A Neural Attention Model for Abstractive Sentence Summarization
A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush
S. Chopra
Jason Weston
CVBM
186
2,703
0
02 Sep 2015
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
359
3,555
0
10 Jun 2015
Improved Semantic Representations From Tree-Structured Long Short-Term
  Memory Networks
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai
R. Socher
Christopher D. Manning
AIMat
146
3,123
0
28 Feb 2015
Convolutional Neural Networks over Tree Structures for Programming
  Language Processing
Convolutional Neural Networks over Tree Structures for Programming Language Processing
Lili Mou
Ge Li
Lu Zhang
Tao Wang
Zhi Jin
72
93
0
18 Sep 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
450
20,611
0
10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
589
27,345
0
01 Sep 2014
Modelling, Visualising and Summarising Documents with a Single
  Convolutional Neural Network
Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network
Misha Denil
Alban Demiraj
Nal Kalchbrenner
Phil Blunsom
Nando de Freitas
105
101
0
15 Jun 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,414
0
03 Jun 2014
A Convolutional Neural Network for Modelling Sentences
A Convolutional Neural Network for Modelling Sentences
Nal Kalchbrenner
Edward Grefenstette
Phil Blunsom
111
3,562
0
08 Apr 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
406
33,573
0
16 Oct 2013
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