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On the Embeddings of Variables in Recurrent Neural Networks for Source
  Code

On the Embeddings of Variables in Recurrent Neural Networks for Source Code

23 October 2020
Nadezhda Chirkova
ArXivPDFHTML

Papers citing "On the Embeddings of Variables in Recurrent Neural Networks for Source Code"

7 / 7 papers shown
Title
Deep Learning for Source Code Modeling and Generation: Models,
  Applications and Challenges
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
T. H. Le
Hao Chen
Muhammad Ali Babar
VLM
89
155
0
13 Feb 2020
Neural Program Repair by Jointly Learning to Localize and Repair
Neural Program Repair by Jointly Learning to Localize and Repair
Marko Vasic
Aditya Kanade
Petros Maniatis
David Bieber
Rishabh Singh
62
131
0
03 Apr 2019
code2seq: Generating Sequences from Structured Representations of Code
code2seq: Generating Sequences from Structured Representations of Code
Uri Alon
Shaked Brody
Omer Levy
Eran Yahav
72
699
0
04 Aug 2018
Tree-to-tree Neural Networks for Program Translation
Tree-to-tree Neural Networks for Program Translation
Xinyun Chen
Chang-rui Liu
D. Song
72
278
0
11 Feb 2018
Code Completion with Neural Attention and Pointer Networks
Code Completion with Neural Attention and Pointer Networks
Jian Li
Yue Wang
Michael R. Lyu
Irwin King
65
236
0
27 Nov 2017
A Neural Language Model for Dynamically Representing the Meanings of
  Unknown Words and Entities in a Discourse
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse
Sosuke Kobayashi
Naoaki Okazaki
Kentaro Inui
KELM
55
14
0
06 Sep 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
832
5,821
0
05 Dec 2016
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