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Learning a Static Bug Finder from Data
v1v2v3 (latest)

Learning a Static Bug Finder from Data

12 July 2019
Yu Wang
Fengjuan Gao
Linzhang Wang
Ke Wang
ArXiv (abs)PDFHTML

Papers citing "Learning a Static Bug Finder from Data"

17 / 17 papers shown
Title
Learning Scalable and Precise Representation of Program Semantics
Learning Scalable and Precise Representation of Program Semantics
Ke Wang
NAI
50
28
0
13 May 2019
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNNBDL
266
3,550
0
06 Jun 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
44
205
0
26 Mar 2018
code2vec: Learning Distributed Representations of Code
code2vec: Learning Distributed Representations of Code
Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
53
1,181
0
26 Mar 2018
Graph Partition Neural Networks for Semi-Supervised Classification
Graph Partition Neural Networks for Semi-Supervised Classification
Renjie Liao
Marc Brockschmidt
Daniel Tarlow
Alexander L. Gaunt
R. Urtasun
R. Zemel
GNN
59
76
0
16 Mar 2018
Dynamic Neural Program Embedding for Program Repair
Dynamic Neural Program Embedding for Program Repair
Ke Wang
Rishabh Singh
Z. Su
NAI
59
136
0
20 Nov 2017
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNNNAI
123
804
0
01 Nov 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
730
132,363
0
12 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,319
0
07 Jun 2017
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural
  Memory Networks
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks
Min-Je Choi
S. Jeong
Hakjoo Oh
Jaegul Choo
58
65
0
07 Mar 2017
Scene Graph Generation by Iterative Message Passing
Scene Graph Generation by Iterative Message Passing
Danfei Xu
Yuke Zhu
Chris Choy
Li Fei-Fei
GNN3DV
100
1,224
0
10 Jan 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
654
29,154
0
09 Sep 2016
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
347
3,288
0
17 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
257
6,786
0
03 Sep 2014
Structured Generative Models of Natural Source Code
Structured Generative Models of Natural Source Code
Chris J. Maddison
Daniel Tarlow
92
171
0
02 Jan 2014
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
680
31,544
0
16 Jan 2013
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