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1602.03001
Cited By
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
Wei Ye
Rui Xie
Jinglei Zhang
Tianxiang Hu
Xiaoyin Wang
Shikun Zhang
25
74
0
24 Feb 2020
Adversarial Robustness for Code
Pavol Bielik
Martin Vechev
AAML
22
89
0
11 Feb 2020
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
Austin P. Wright
H. Wiklicky
GNN
NAI
21
0
0
24 Jan 2020
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
J. Siow
Cuiyun Gao
Lingling Fan
Sen Chen
Yang Liu
14
55
0
20 Dec 2019
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
R. Agashe
R. Campello
Arthur Zimek
36
83
0
05 Oct 2019
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
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
Hiroshi Yonai
Yasuhiro Hayase
H. Kitagawa
15
15
0
12 Jul 2019
Towards Neural Decompilation
O. Katz
Yuval Olshaker
Yoav Goldberg
Eran Yahav
24
42
0
20 May 2019
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
Rafael-Michael Karampatsis
Charles Sutton
26
54
0
13 Mar 2019
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
Yasir Hussain
Zhiqiu Huang
Yu Zhou
Senzhang Wang
13
32
0
03 Mar 2019
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
Yao Wan
Zhou Zhao
Min Yang
Guandong Xu
Haochao Ying
Jian Wu
Philip S. Yu
30
381
0
17 Nov 2018
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
Tal Ben-Nun
Alice Shoshana Jakobovits
Torsten Hoefler
18
239
0
19 Jun 2018
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
Ziyu Yao
Daniel S. Weld
Wei-Peng Chen
Huan Sun
11
100
0
26 Mar 2018
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
Jian Li
Yue Wang
M. Lyu
Irwin King
26
235
0
27 Nov 2017
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
Miltiadis Allamanis
Marc Brockschmidt
23
18
0
22 May 2017
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
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
Graham Neubig
AIMat
37
171
0
05 Mar 2017
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
Avishkar Bhoopchand
Tim Rocktaschel
Earl T. Barr
Sebastian Riedel
20
87
0
24 Nov 2016
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
Philip Arthur
Graham Neubig
Satoshi Nakamura
22
209
0
07 Jun 2016
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
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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