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A Convolutional Attention Network for Extreme Summarization of Source
  Code

A Convolutional Attention Network for Extreme Summarization of Source Code

9 February 2016
Miltiadis Allamanis
Hao Peng
Charles Sutton
    AI4TS
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Papers citing "A Convolutional Attention Network for Extreme Summarization of Source Code"

35 / 85 papers shown
Title
Leveraging Code Generation to Improve Code Retrieval and Summarization
  via Dual Learning
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning
Wei Ye
Rui Xie
Jinglei Zhang
Tianxiang Hu
Xiaoyin Wang
Shikun Zhang
25
74
0
24 Feb 2020
Adversarial Robustness for Code
Adversarial Robustness for Code
Pavol Bielik
Martin Vechev
AAML
22
89
0
11 Feb 2020
Semantic Robustness of Models of Source Code
Semantic Robustness of Models of Source Code
Goutham Ramakrishnan
Jordan Henkel
Zi Wang
Aws Albarghouthi
S. Jha
Thomas W. Reps
SILM
AAML
41
97
0
07 Feb 2020
Comparison of Syntactic and Semantic Representations of Programs in
  Neural Embeddings
Comparison of Syntactic and Semantic Representations of Programs in Neural Embeddings
Austin P. Wright
H. Wiklicky
GNN
NAI
21
0
0
24 Jan 2020
Learning to Encode and Classify Test Executions
Learning to Encode and Classify Test Executions
Foivos Tsimpourlas
A. Rajan
Miltiadis Allamanis
29
12
0
08 Jan 2020
CORE: Automating Review Recommendation for Code Changes
CORE: Automating Review Recommendation for Code Changes
J. Siow
Cuiyun Gao
Lingling Fan
Sen Chen
Yang Liu
14
55
0
20 Dec 2019
Learning based Methods for Code Runtime Complexity Prediction
Learning based Methods for Code Runtime Complexity Prediction
Jagriti Sikka
K. Satya
Yaman Kumar Singla
Shagun Uppal
R. Shah
Roger Zimmermann
20
14
0
04 Nov 2019
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain
  Context-based Code Generation
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation
R. Agashe
R. Campello
Arthur Zimek
36
83
0
05 Oct 2019
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Hamel Husain
Hongqiu Wu
Tiferet Gazit
Miltiadis Allamanis
Marc Brockschmidt
ELM
81
1,050
0
20 Sep 2019
IR2Vec: LLVM IR based Scalable Program Embeddings
IR2Vec: LLVM IR based Scalable Program Embeddings
Venkata Keerthy
Rohit Aggarwal
Shalini Jain
Maunendra Sankar
Ramakrishna Upadrasta
Desarkar
24
10
0
13 Sep 2019
Mercem: Method Name Recommendation Based on Call Graph Embedding
Mercem: Method Name Recommendation Based on Call Graph Embedding
Hiroshi Yonai
Yasuhiro Hayase
H. Kitagawa
15
15
0
12 Jul 2019
Towards Neural Decompilation
Towards Neural Decompilation
O. Katz
Yuval Olshaker
Yoav Goldberg
Eran Yahav
24
42
0
20 May 2019
Recommendations for Datasets for Source Code Summarization
Recommendations for Datasets for Source Code Summarization
Alexander LeClair
Collin McMillan
11
116
0
04 Apr 2019
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
26
54
0
13 Mar 2019
Program Classification Using Gated Graph Attention Neural Network for
  Online Programming Service
Program Classification Using Gated Graph Attention Neural Network for Online Programming Service
Mingming Lu
Dingwu Tan
N. Xiong
Zailiang Chen
Haifeng Li
15
11
0
09 Mar 2019
CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for
  Source Code Modeling
CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling
Yasir Hussain
Zhiqiu Huang
Yu Zhou
Senzhang Wang
13
32
0
03 Mar 2019
On Learning Meaningful Code Changes via Neural Machine Translation
On Learning Meaningful Code Changes via Neural Machine Translation
Michele Tufano
Jevgenija Pantiuchina
Cody Watson
Gabriele Bavota
Denys Poshyvanyk
22
203
0
25 Jan 2019
Improving Automatic Source Code Summarization via Deep Reinforcement
  Learning
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
Yao Wan
Zhou Zhao
Min Yang
Guandong Xu
Haochao Ying
Jian Wu
Philip S. Yu
30
381
0
17 Nov 2018
Structured Neural Summarization
Structured Neural Summarization
Patrick Fernandes
Miltiadis Allamanis
Marc Brockschmidt
GNN
27
212
0
05 Nov 2018
Neural Code Comprehension: A Learnable Representation of Code Semantics
Neural Code Comprehension: A Learnable Representation of Code Semantics
Tal Ben-Nun
Alice Shoshana Jakobovits
Torsten Hoefler
18
239
0
19 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
19
205
0
26 Mar 2018
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow
Ziyu Yao
Daniel S. Weld
Wei-Peng Chen
Huan Sun
11
100
0
26 Mar 2018
Explainable Prediction of Medical Codes from Clinical Text
Explainable Prediction of Medical Codes from Clinical Text
J. Mullenbach
Sarah Wiegreffe
J. Duke
Jimeng Sun
Jacob Eisenstein
FAtt
29
567
0
15 Feb 2018
Code Completion with Neural Attention and Pointer Networks
Code Completion with Neural Attention and Pointer Networks
Jian Li
Yue Wang
M. Lyu
Irwin King
26
235
0
27 Nov 2017
Semantic Code Repair using Neuro-Symbolic Transformation Networks
Semantic Code Repair using Neuro-Symbolic Transformation Networks
Jacob Devlin
J. Uesato
Rishabh Singh
Pushmeet Kohli
NAI
KELM
21
51
0
30 Oct 2017
SmartPaste: Learning to Adapt Source Code
SmartPaste: Learning to Adapt Source Code
Miltiadis Allamanis
Marc Brockschmidt
23
18
0
22 May 2017
A Neural Architecture for Generating Natural Language Descriptions from
  Source Code Changes
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes
Pablo Loyola
Edison Marrese-Taylor
Y. Matsuo
16
120
0
17 Apr 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
33
65
0
07 Mar 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Graham Neubig
AIMat
37
171
0
05 Mar 2017
Joint Copying and Restricted Generation for Paraphrase
Joint Copying and Restricted Generation for Paraphrase
Ziqiang Cao
Chuwei Luo
Wenjie Li
Sujian Li
27
90
0
28 Nov 2016
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
20
87
0
24 Nov 2016
Learning Continuous Semantic Representations of Symbolic Expressions
Learning Continuous Semantic Representations of Symbolic Expressions
Miltiadis Allamanis
Pankajan Chanthirasegaran
Pushmeet Kohli
Charles Sutton
CLL
NAI
31
99
0
04 Nov 2016
Incorporating Discrete Translation Lexicons into Neural Machine
  Translation
Incorporating Discrete Translation Lexicons into Neural Machine Translation
Philip Arthur
Graham Neubig
Satoshi Nakamura
22
209
0
07 Jun 2016
Deep API Learning
Deep API Learning
Xiaodong Gu
Hongyu Zhang
Dongmei Zhang
Sunghun Kim
AIMat
HAI
32
557
0
27 May 2016
Latent Predictor Networks for Code Generation
Latent Predictor Networks for Code Generation
Wang Ling
Edward Grefenstette
Karl Moritz Hermann
Tomás Kociský
A. Senior
Fumin Wang
Phil Blunsom
13
383
0
22 Mar 2016
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