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A Survey of Machine Learning for Big Code and Naturalness
v1v2 (latest)

A Survey of Machine Learning for Big Code and Naturalness

18 September 2017
Miltiadis Allamanis
Earl T. Barr
Premkumar T. Devanbu
Charles Sutton
ArXiv (abs)PDFHTML

Papers citing "A Survey of Machine Learning for Big Code and Naturalness"

50 / 298 papers shown
Title
Deep Graph Matching and Searching for Semantic Code Retrieval
Deep Graph Matching and Searching for Semantic Code RetrievalACM Transactions on Knowledge Discovery from Data (TKDD), 2020
Xiang Ling
Lingfei Wu
Sai-gang Wang
Gaoning Pan
Tengfei Ma
Fangli Xu
A. Liu
Chunming Wu
S. Ji
GNN
177
106
0
24 Oct 2020
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence LearningIEEE Transactions on Software Engineering (TSE), 2020
Jianlei Chi
YunHuan Qu
Ting Liu
Q. Zheng
Heng Yin
292
62
0
21 Oct 2020
Retrieve and Refine: Exemplar-based Neural Comment Generation
Retrieve and Refine: Exemplar-based Neural Comment GenerationInternational Conference on Automated Software Engineering (ASE), 2020
Bolin Wei
Yongming Li
Ge Li
Xin Xia
Zhi Jin
99
46
0
09 Oct 2020
STRATA: Simple, Gradient-Free Attacks for Models of Code
STRATA: Simple, Gradient-Free Attacks for Models of Code
Jacob Mitchell Springer
Bryn Reinstadler
Una-May O’Reilly
AAML
150
11
0
28 Sep 2020
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
Shuo Ren
Daya Guo
Shuai Lu
Long Zhou
Shujie Liu
Duyu Tang
Neel Sundaresan
M. Zhou
Ambrosio Blanco
Shuai Ma
ELM
426
717
0
22 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
900
88
0
17 Sep 2020
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 ApproachesApplied Informatics (AI), 2020
Juan Cruz-Benito
Sanjay Vishwakarma
Francisco Martín-Fernández
Ismael Faro Ibm Quantum
324
32
0
16 Sep 2020
Advanced Graph-Based Deep Learning for Probabilistic Type Inference
Advanced Graph-Based Deep Learning for Probabilistic Type Inference
Fangke Ye
Jisheng Zhao
Vivek Sarkar
BDLGNN
110
3
0
13 Sep 2020
Multimodal Deep Learning for Flaw Detection in Software Programs
Multimodal Deep Learning for Flaw Detection in Software Programs
S. Heidbrink
Kathryn N. Rodhouse
Daniel M. Dunlavy
115
8
0
09 Sep 2020
CoNCRA: A Convolutional Neural Network Code Retrieval Approach
CoNCRA: A Convolutional Neural Network Code Retrieval ApproachBrazilian Symposium on Software Engineering (SBES), 2020
Marcelo de Rezende Martins
M. Gerosa
141
13
0
03 Sep 2020
Towards Demystifying Dimensions of Source Code Embeddings
Towards Demystifying Dimensions of Source Code Embeddings
Md Rafiqul Islam Rabin
Arjun Mukherjee
O. Gnawali
Mohammad Amin Alipour
221
21
0
29 Aug 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 TransformationsInformation and Software Technology (IST), 2020
Md Rafiqul Islam Rabin
Nghi D. Q. Bui
Ke Wang
Yijun Yu
Lingxiao Jiang
Mohammad Amin Alipour
311
103
0
31 Jul 2020
Language Modelling for Source Code with Transformer-XL
Language Modelling for Source Code with Transformer-XL
Thomas D. Dowdell
Hongyu Zhang
142
9
0
31 Jul 2020
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided ExplorationInternational Conference on Learning Representations (ICLR), 2020
Augustus Odena
Kensen Shi
David Bieber
Rishabh Singh
Charles Sutton
Hanjun Dai
408
60
0
28 Jul 2020
Contrastive Code Representation Learning
Contrastive Code Representation LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Paras Jain
Ajay Jain
Tianjun Zhang
Pieter Abbeel
Joseph E. Gonzalez
Ion Stoica
SSLDRL
332
168
0
09 Jul 2020
Learning to Format Coq Code Using Language Models
Learning to Format Coq Code Using Language Models
Pengyu Nie
Karl Palmskog
Junyi Jessy Li
Miloš Gligorić
ALMSyDa
115
3
0
18 Jun 2020
Learning to map source code to software vulnerability using
  code-as-a-graph
Learning to map source code to software vulnerability using code-as-a-graph
Sahil Suneja
Yunhui Zheng
Yufan Zhuang
Jim Laredo
Alessandro Morari
143
33
0
15 Jun 2020
Backdoors in Neural Models of Source Code
Backdoors in Neural Models of Source CodeInternational Conference on Pattern Recognition (ICPR), 2020
Goutham Ramakrishnan
Aws Albarghouthi
AAMLSILM
238
70
0
11 Jun 2020
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
Shangqing Liu
Yu Chen
Xiaofei Xie
J. Siow
Yang Liu
292
185
0
09 Jun 2020
MISIM: A Neural Code Semantics Similarity System Using the Context-Aware
  Semantics Structure
MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure
Fangke Ye
Sheng-Tian Zhou
Anand Venkat
Ryan Marcus
Nesime Tatbul
...
Tim Mattson
Tim Kraska
Pradeep Dubey
Vivek Sarkar
Justin Emile Gottschlich
174
9
0
05 Jun 2020
PLANS: Robust Program Learning from Neurally Inferred Specifications
PLANS: Robust Program Learning from Neurally Inferred Specifications
Raphaël Dang-Nhu
153
3
0
05 Jun 2020
Unleashing the power of disruptive and emerging technologies amid
  COVID-19: A detailed review
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review
Sonali Agarwal
Narinder Singh Punn
S. K. Sonbhadra
M. Tanveer
P. Nagabhushan
K. K. S. Pandian
Praveer Saxena
299
61
0
23 May 2020
Representation of Developer Expertise in Open Source Software
Representation of Developer Expertise in Open Source Software
Tapajit Dey
Andrey Karnauch
A. Mockus
179
32
0
20 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on GraphsNeural Information Processing Systems (NeurIPS), 2020
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
700
3,199
0
02 May 2020
Fast and Memory-Efficient Neural Code Completion
Fast and Memory-Efficient Neural Code CompletionIEEE Working Conference on Mining Software Repositories (MSR), 2020
Alexey Svyatkovskiy
Sebastian Lee
A. Hadjitofi
M. Riechert
Juliana Franco
Miltiadis Allamanis
252
98
0
28 Apr 2020
SCELMo: Source Code Embeddings from Language Models
SCELMo: Source Code Embeddings from Language Models
Rafael-Michael Karampatsis
Charles Sutton
138
58
0
28 Apr 2020
Deep Generation of Coq Lemma Names Using Elaborated Terms
Deep Generation of Coq Lemma Names Using Elaborated TermsInternational Joint Conference on Automated Reasoning (IJCAR), 2020
Pengyu Nie
Karl Palmskog
Junyi Jessy Li
Miloš Gligorić
152
10
0
16 Apr 2020
Evaluation of Generalizability of Neural Program Analyzers under
  Semantic-Preserving Transformations
Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations
Md Rafiqul Islam Rabin
Mohammad Amin Alipour
NAI
258
20
0
15 Apr 2020
Code Completion using Neural Attention and Byte Pair Encoding
Code Completion using Neural Attention and Byte Pair Encoding
Youri Arkesteijn
Nikhil Saldanha
Bastijn Kostense
56
4
0
14 Apr 2020
Dependency-Based Neural Representations for Classifying Lines of
  Programs
Dependency-Based Neural Representations for Classifying Lines of Programs
Shashank Srikant
Nicolas Lesimple
Una-May O’Reilly
99
2
0
08 Apr 2020
Typilus: Neural Type Hints
Typilus: Neural Type HintsACM-SIGPLAN Symposium on Programming Language Design and Implementation (PLDI), 2020
Miltiadis Allamanis
Earl T. Barr
Soline Ducousso
Zheng Gao
216
145
0
06 Apr 2020
Using Large-Scale Anomaly Detection on Code to Improve Kotlin Compiler
Using Large-Scale Anomaly Detection on Code to Improve Kotlin CompilerIEEE Working Conference on Mining Software Repositories (MSR), 2020
T. Bryksin
V. Petukhov
Ilya Alexin
Stanislav Prikhodko
A. Shpilman
V. Kovalenko
Nikita Povarov
141
12
0
03 Apr 2020
OptTyper: Probabilistic Type Inference by Optimising Logical and Natural
  Constraints
OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints
Irene Vlassi Pandi
Earl T. Barr
Andrew D. Gordon
Charles Sutton
392
32
0
01 Apr 2020
Code Prediction by Feeding Trees to Transformers
Code Prediction by Feeding Trees to TransformersInternational Conference on Software Engineering (ICSE), 2020
Seohyun Kim
Jinman Zhao
Yuchi Tian
S. Chandra
308
237
0
30 Mar 2020
On-the-Fly Adaptation of Source Code Models using Meta-Learning
Disha Shrivastava
Hugo Larochelle
Daniel Tarlow
TTA
136
7
0
26 Mar 2020
Context-Aware Parse Trees
Context-Aware Parse Trees
Fangke Ye
Sheng-Tian Zhou
Anand Venkat
Ryan Marcus
Paul Petersen
...
Tim Mattson
Tim Kraska
Pradeep Dubey
Vivek Sarkar
Justin Emile Gottschlich
70
2
0
24 Mar 2020
ProGraML: Graph-based Deep Learning for Program Optimization and
  Analysis
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis
Chris Cummins
Zacharias V. Fisches
Tal Ben-Nun
Torsten Hoefler
Hugh Leather
309
67
0
23 Mar 2020
Leveraging Code Generation to Improve Code Retrieval and Summarization
  via Dual Learning
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual LearningThe Web Conference (WWW), 2020
Wei Ye
Rui Xie
Jinglei Zhang
Tianxiang Hu
Xiaoyin Wang
Shikun Zhang
258
79
0
24 Feb 2020
A Toolkit for Generating Code Knowledge Graphs
A Toolkit for Generating Code Knowledge GraphsInternational Conference on Knowledge Capture (K-CAP), 2020
Ibrahim Abdelaziz
Julian T Dolby
Jamie McCusker
Kavitha Srinivas
160
29
0
21 Feb 2020
Equivalence of Dataflow Graphs via Rewrite Rules Using a
  Graph-to-Sequence Neural Model
Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model
Steve Kommrusch
Théo Barollet
L. Pouchet
190
6
0
17 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models,
  Applications and Challenges
Deep Learning for Source Code Modeling and Generation: Models, Applications and ChallengesACM Computing Surveys (ACM CSUR), 2020
T. H. Le
Hao Chen
Muhammad Ali Babar
VLM
237
171
0
13 Feb 2020
Learning to Represent Programs with Property Signatures
Learning to Represent Programs with Property SignaturesInternational Conference on Learning Representations (ICLR), 2020
Augustus Odena
Charles Sutton
114
34
0
13 Feb 2020
Bin2vec: Learning Representations of Binary Executable Programs for
  Security Tasks
Bin2vec: Learning Representations of Binary Executable Programs for Security Tasks
Shushan Arakelyan
Sima Arasteh
Christophe Hauser
Erik Kline
Aram Galstyan
221
26
0
09 Feb 2020
Semantic Robustness of Models of Source Code
Semantic Robustness of Models of Source CodeIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2020
Goutham Ramakrishnan
Jordan Henkel
Zi Wang
Aws Albarghouthi
S. Jha
Thomas W. Reps
SILMAAML
249
103
0
07 Feb 2020
On the Convergence of Artificial Intelligence and Distributed Ledger
  Technology: A Scoping Review and Future Research Agenda
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research AgendaIEEE Access (IEEE Access), 2020
Konstantin D. Pandl
Scott Thiebes
Manuel Schmidt-Kraepelin
Ali Sunyaev
228
85
0
29 Jan 2020
In Nomine Function: Naming Functions in Stripped Binaries with Neural
  Networks
In Nomine Function: Naming Functions in Stripped Binaries with Neural Networks
Fiorella Artuso
Giuseppe Antonio Di Luna
Luca Massarelli
Leonardo Querzoni
123
5
0
17 Dec 2019
Associating Natural Language Comment and Source Code Entities
Associating Natural Language Comment and Source Code EntitiesAAAI Conference on Artificial Intelligence (AAAI), 2019
Sheena Panthaplackel
Miloš Gligorić
Raymond J. Mooney
Junyi Jessy Li
132
21
0
13 Dec 2019
Commit2Vec: Learning Distributed Representations of Code Changes
Commit2Vec: Learning Distributed Representations of Code ChangesSN Computer Science (SN Comp. Sci.), 2019
Rocío Cabrera Lozoya
Arnaud Baumann
A. Sabetta
M. Bezzi
SSL
275
52
0
18 Nov 2019
Exploiting Token and Path-based Representations of Code for Identifying
  Security-Relevant Commits
Exploiting Token and Path-based Representations of Code for Identifying Security-Relevant Commits
Achyudh Ram
Ji Xin
M. Nagappan
Yaoliang Yu
Rocío Cabrera Lozoya
A. Sabetta
Jimmy J. Lin
86
4
0
15 Nov 2019
Twin-Finder: Integrated Reasoning Engine for Pointer-related Code Clone
  Detection
Twin-Finder: Integrated Reasoning Engine for Pointer-related Code Clone DetectionInternational Workshop on Software Clones (IWSC), 2019
Hongfa Xue
Yongsheng Mei
Kailash Gogineni
Guru Venkataramani
Tian-Shing Lan
51
5
0
01 Nov 2019
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