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Sequence Model Design for Code Completion in the Modern IDE

Sequence Model Design for Code Completion in the Modern IDE

10 April 2020
Gareth Ari Aye
Gail E. Kaiser
ArXivPDFHTML

Papers citing "Sequence Model Design for Code Completion in the Modern IDE"

15 / 15 papers shown
Title
Maybe Deep Neural Networks are the Best Choice for Modeling Source Code
Maybe Deep Neural Networks are the Best Choice for Modeling Source Code
Rafael-Michael Karampatsis
Charles Sutton
90
54
0
13 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
29
319
0
16 Dec 2018
Understanding the Disharmony between Dropout and Batch Normalization by
  Variance Shift
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Xiang Li
Shuo Chen
Xiaolin Hu
Jian Yang
57
309
0
16 Jan 2018
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
117
3,090
0
15 Dec 2017
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
50
236
0
27 Nov 2017
On the State of the Art of Evaluation in Neural Language Models
On the State of the Art of Evaluation in Neural Language Models
Gábor Melis
Chris Dyer
Phil Blunsom
42
532
0
18 Jul 2017
Learning Python Code Suggestion with a Sparse Pointer Network
Learning Python Code Suggestion with a Sparse Pointer Network
Avishkar Bhoopchand
Tim Rocktaschel
Earl T. Barr
Sebastian Riedel
31
87
0
24 Nov 2016
Exploring the Limits of Language Modeling
Exploring the Limits of Language Modeling
Rafal Jozefowicz
Oriol Vinyals
M. Schuster
Noam M. Shazeer
Yonghui Wu
90
1,143
0
07 Feb 2016
Neural Machine Translation of Rare Words with Subword Units
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
146
7,683
0
31 Aug 2015
Pointer Networks
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
79
3,036
0
09 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
257
43,154
0
11 Feb 2015
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
574
23,235
0
03 Jun 2014
Long Short-Term Memory Based Recurrent Neural Network Architectures for
  Large Vocabulary Speech Recognition
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition
Hasim Sak
A. Senior
F. Beaufays
57
1,049
0
05 Feb 2014
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
103
5,318
0
21 Nov 2012
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
361
7,650
0
03 Jul 2012
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