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A General Path-Based Representation for Predicting Program Properties

A General Path-Based Representation for Predicting Program Properties

26 March 2018
Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
ArXivPDFHTML

Papers citing "A General Path-Based Representation for Predicting Program Properties"

22 / 22 papers shown
Title
Epicure: Distilling Sequence Model Predictions into Patterns
Epicure: Distilling Sequence Model Predictions into Patterns
Miltiadis Allamanis
Earl T. Barr
18
0
0
16 Aug 2023
Modelling Concurrency Bugs Using Machine Learning
Modelling Concurrency Bugs Using Machine Learning
Teodor Rares Begu
13
0
0
08 May 2023
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks
Yang Shi
Min Chi
Tiffany Barnes
T. Price
AI4Ed
37
24
0
07 Jun 2022
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable
  Usage Representations
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations
Xiaoyu Liu
Jinu Jang
Neel Sundaresan
Miltiadis Allamanis
Alexey Svyatkovskiy
16
2
0
23 May 2022
Assemble Foundation Models for Automatic Code Summarization
Assemble Foundation Models for Automatic Code Summarization
Jian Gu
P. Salza
H. Gall
36
34
0
13 Jan 2022
Precise Learning of Source Code Contextual Semantics via Hierarchical
  Dependence Structure and Graph Attention Networks
Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks
Zhehao Zhao
Bo Yang
Ge Li
Huai Liu
Zhi Jin
10
21
0
20 Nov 2021
A Survey on Machine Learning Techniques for Source Code Analysis
A Survey on Machine Learning Techniques for Source Code Analysis
Tushar Sharma
M. Kechagia
Stefanos Georgiou
Rohit Tiwari
Indira Vats
Hadi Moazen
Federica Sarro
25
61
0
18 Oct 2021
Multimodal Representation for Neural Code Search
Multimodal Representation for Neural Code Search
Jian Gu
Zimin Chen
Monperrus Martin
13
43
0
02 Jul 2021
Toward Less Hidden Cost of Code Completion with Acceptance and Ranking
  Models
Toward Less Hidden Cost of Code Completion with Acceptance and Ranking Models
Jingxuan Li
Rui Huang
Wei Li
Kai-Lang Yao
Weiguo Tan
27
14
0
26 Jun 2021
PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code
PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code
Egor Spirin
Egor Bogomolov
V. Kovalenko
T. Bryksin
33
15
0
23 Mar 2021
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs
Yanlin Wang
Hui Li
10
85
0
17 Mar 2021
Learning to Make Compiler Optimizations More Effective
Learning to Make Compiler Optimizations More Effective
Rahim Mammadli
Marija Selakovic
F. Wolf
Michael Pradel
21
13
0
24 Feb 2021
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
Baptiste Roziere
Marie-Anne Lachaux
Marc Szafraniec
Guillaume Lample
AI4CE
52
137
0
15 Feb 2021
Pointing to Subwords for Generating Function Names in Source Code
Pointing to Subwords for Generating Function Names in Source Code
Shogo Fujita
Hidetaka Kamigaito
Hiroya Takamura
Manabu Okumura
11
2
0
09 Nov 2020
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers
  for Analyzing Data Analysis
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis
Ashley Ge Zhang
Michael Merrill
Yang Liu
Jeffrey Heer
Tim Althoff
ViT
22
13
0
28 Aug 2020
Static Neural Compiler Optimization via Deep Reinforcement Learning
Static Neural Compiler Optimization via Deep Reinforcement Learning
Rahim Mammadli
Ali Jannesari
F. Wolf
28
30
0
20 Aug 2020
A Structural Model for Contextual Code Changes
A Structural Model for Contextual Code Changes
Shaked Brody
Uri Alon
Eran Yahav
KELM
21
7
0
27 May 2020
Embedding Java Classes with code2vec: Improvements from Variable
  Obfuscation
Embedding Java Classes with code2vec: Improvements from Variable Obfuscation
Rhys Compton
E. Frank
Panos Patros
Abigail M. Y. Koay
19
62
0
06 Apr 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
88
56
0
23 Mar 2020
Learning based Methods for Code Runtime Complexity Prediction
Learning based Methods for Code Runtime Complexity Prediction
Jagriti Sikka
K. Satya
Yaman Kumar Singla
Shagun Uppal
R. Shah
Roger Zimmermann
20
14
0
04 Nov 2019
IR2Vec: LLVM IR based Scalable Program Embeddings
IR2Vec: LLVM IR based Scalable Program Embeddings
Venkata Keerthy
Rohit Aggarwal
Shalini Jain
Maunendra Sankar
Ramakrishna Upadrasta
Desarkar
24
10
0
13 Sep 2019
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
18
239
0
19 Jun 2018
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