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Towards Using Data-Influence Methods to Detect Noisy Samples in Source
  Code Corpora
v1v2 (latest)

Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora

25 May 2022
An Dau
Thang Nguyen-Duc
Hoang Thanh-Tung
Nghi D. Q. Bui
    TDI
ArXiv (abs)PDFHTML

Papers citing "Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora"

13 / 13 papers shown
Title
Data Smells in Public Datasets
Data Smells in Public Datasets
Arumoy Shome
Luís Cruz
Arie van Deursen
74
19
0
15 Mar 2022
On the Importance of Building High-quality Training Datasets for Neural
  Code Search
On the Importance of Building High-quality Training Datasets for Neural Code Search
Zhensu Sun
Li Li
Yang Liu
Xiaoning Du
Li Li
55
75
0
14 Feb 2022
An Empirical Comparison of Instance Attribution Methods for NLP
An Empirical Comparison of Instance Attribution Methods for NLP
Pouya Pezeshkpour
Sarthak Jain
Byron C. Wallace
Sameer Singh
TDI
104
35
0
09 Apr 2021
Deep Learning for Android Malware Defenses: a Systematic Literature
  Review
Deep Learning for Android Malware Defenses: a Systematic Literature Review
Yue Liu
Chakkrit Tantithamthavorn
Li Li
Yepang Liu
AAML
61
80
0
09 Mar 2021
A Systematic Literature Review on the Use of Deep Learning in Software
  Engineering Research
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
Cody Watson
Nathan Cooper
David Nader-Palacio
Kevin Moran
Denys Poshyvanyk
72
114
0
14 Sep 2020
Estimating Training Data Influence by Tracing Gradient Descent
Estimating Training Data Influence by Tracing Gradient Descent
G. Pruthi
Frederick Liu
Mukund Sundararajan
Satyen Kale
TDI
90
417
0
19 Feb 2020
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
130
1,085
0
20 Sep 2019
Devign: Effective Vulnerability Identification by Learning Comprehensive
  Program Semantics via Graph Neural Networks
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Yaqin Zhou
Shangqing Liu
J. Siow
Xiaoning Du
Yang Liu
GNN
68
778
0
08 Sep 2019
code2vec: Learning Distributed Representations of Code
code2vec: Learning Distributed Representations of Code
Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
53
1,180
0
26 Mar 2018
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNNNAI
123
803
0
01 Nov 2017
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
213
2,899
0
14 Mar 2017
A Convolutional Attention Network for Extreme Summarization of Source
  Code
A Convolutional Attention Network for Extreme Summarization of Source Code
Miltiadis Allamanis
Hao Peng
Charles Sutton
AI4TS
88
583
0
09 Feb 2016
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
347
3,285
0
17 Nov 2015
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