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Towards Demystifying Dimensions of Source Code Embeddings

Towards Demystifying Dimensions of Source Code Embeddings

29 August 2020
Md Rafiqul Islam Rabin
Arjun Mukherjee
O. Gnawali
Mohammad Amin Alipour
ArXivPDFHTML

Papers citing "Towards Demystifying Dimensions of Source Code Embeddings"

15 / 15 papers shown
Title
Learning a Static Bug Finder from Data
Learning a Static Bug Finder from Data
Yu Wang
Fengjuan Gao
Linzhang Wang
Ke Wang
36
9
0
12 Jul 2019
Learning Scalable and Precise Representation of Program Semantics
Learning Scalable and Precise Representation of Program Semantics
Ke Wang
NAI
44
28
0
13 May 2019
A Literature Study of Embeddings on Source Code
A Literature Study of Embeddings on Source Code
Zimin Chen
Monperrus Martin
70
83
0
05 Apr 2019
Import2vec - Learning Embeddings for Software Libraries
Import2vec - Learning Embeddings for Software Libraries
B. Theeten
Frederik Vandeputte
Tom Van Cutsem
SSL
36
34
0
27 Mar 2019
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
61
320
0
16 Dec 2018
Structured Neural Summarization
Structured Neural Summarization
Patrick Fernandes
Miltiadis Allamanis
Marc Brockschmidt
GNN
82
212
0
05 Nov 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
69
699
0
04 Aug 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
40
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
1,176
0
26 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
GNN
NAI
123
802
0
01 Nov 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
108
858
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
D. Song
GNN
49
581
0
22 Aug 2017
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
86
582
0
09 Feb 2016
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
1.0K
23,344
0
03 Jun 2014
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