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Learning to Fix Build Errors with Graph2Diff Neural Networks

Learning to Fix Build Errors with Graph2Diff Neural Networks

4 November 2019
Daniel Tarlow
Subhodeep Moitra
Andrew Rice
Zimin Chen
Pierre-Antoine Manzagol
Charles Sutton
E. Aftandilian
    GNN
ArXivPDFHTML

Papers citing "Learning to Fix Build Errors with Graph2Diff Neural Networks"

15 / 15 papers shown
Title
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan
Yang He
Zhangqian Bi
Jianguo Zhang
Hongyu Zhang
Yulei Sui
Guandong Xu
Hai Jin
Philip S. Yu
47
21
0
30 Dec 2023
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program
  Repair
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair
Nan Jiang
Thibaud Lutellier
Yiling Lou
Lin Tan
Dan Goldwasser
Xinming Zhang
29
44
0
03 Feb 2023
CoditT5: Pretraining for Source Code and Natural Language Editing
CoditT5: Pretraining for Source Code and Natural Language Editing
Jiyang Zhang
Sheena Panthaplackel
Pengyu Nie
Junyi Jessy Li
Miloš Gligorić
KELM
32
89
0
10 Aug 2022
Leveraging Automated Unit Tests for Unsupervised Code Translation
Leveraging Automated Unit Tests for Unsupervised Code Translation
Baptiste Roziere
Jie M. Zhang
François Charton
Mark Harman
Gabriel Synnaeve
Guillaume Lample
38
112
0
13 Oct 2021
On Multi-Modal Learning of Editing Source Code
On Multi-Modal Learning of Editing Source Code
Saikat Chakraborty
Baishakhi Ray
KELM
34
59
0
15 Aug 2021
Self-Supervised Bug Detection and Repair
Self-Supervised Bug Detection and Repair
Miltiadis Allamanis
Henry Jackson-Flux
Marc Brockschmidt
26
103
0
26 May 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
138
0
15 Feb 2021
Learning Structural Edits via Incremental Tree Transformations
Learning Structural Edits via Incremental Tree Transformations
Ziyu Yao
Frank F. Xu
Pengcheng Yin
Huan Sun
Graham Neubig
CLL
157
27
0
28 Jan 2021
Neural Software Analysis
Neural Software Analysis
Michael Pradel
S. Chandra
NAI
39
33
0
16 Nov 2020
Learning to Execute Programs with Instruction Pointer Attention Graph
  Neural Networks
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
David Bieber
Charles Sutton
Hugo Larochelle
Daniel Tarlow
GNN
27
43
0
23 Oct 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
A Structural Model for Contextual Code Changes
A Structural Model for Contextual Code Changes
Shaked Brody
Uri Alon
Eran Yahav
KELM
27
7
0
27 May 2020
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
Michihiro Yasunaga
Percy Liang
LRM
37
172
0
20 May 2020
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
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