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MISIM: A Neural Code Semantics Similarity System Using the Context-Aware
  Semantics Structure
v1v2v3v4v5v6 (latest)

MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure

5 June 2020
Fangke Ye
Sheng-Tian Zhou
Anand Venkat
Ryan Marcus
Nesime Tatbul
Jesmin Jahan Tithi
N. Hasabnis
Paul Petersen
Tim Mattson
Tim Kraska
Pradeep Dubey
Vivek Sarkar
Justin Emile Gottschlich
ArXiv (abs)PDFHTML

Papers citing "MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure"

12 / 12 papers shown
Title
Toward Code Generation: A Survey and Lessons from Semantic Parsing
Toward Code Generation: A Survey and Lessons from Semantic Parsing
Celine Lee
Justin Emile Gottschlich
Dan Roth Intel Labs
3DV
45
15
0
26 Apr 2021
A Metric Learning Reality Check
A Metric Learning Reality Check
Kevin Musgrave
Serge J. Belongie
Ser-Nam Lim
142
479
0
18 Mar 2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Yifan Sun
Changmao Cheng
Yuhan Zhang
Chi Zhang
Liang Zheng
Zhongdao Wang
Yichen Wei
93
859
0
25 Feb 2020
Learning to Represent Programs with Property Signatures
Learning to Represent Programs with Property Signatures
Augustus Odena
Charles Sutton
37
32
0
13 Feb 2020
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Yuxiang Cai
Schahram Dustdar
Albert Y. Zomaya
98
615
0
02 Sep 2019
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
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNNNAI
123
804
0
01 Nov 2017
A Zero-Positive Learning Approach for Diagnosing Software Performance
  Regressions
A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions
Mejbah Alam
Justin Emile Gottschlich
Nesime Tatbul
Javier S. Turek
Tim Mattson
A. Muzahid
55
29
0
21 Sep 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
113
860
0
18 Sep 2017
In Defense of the Triplet Loss for Person Re-Identification
In Defense of the Triplet Loss for Person Re-Identification
Alexander Hermans
Lucas Beyer
Bastian Leibe
DML
105
3,210
0
22 Mar 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
194
4,828
0
17 Mar 2017
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
388
13,145
0
12 Mar 2015
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