Improving fault localization with pre-training

被引：1
|
作者：
Zhang, Zhuo [1 ]
Li, Ya [2 ]
Xue, Jianxin [3 ]
Mao, Xiaoguang [4 ]
机构：
[1] Guangzhou Coll Commerce, Sch Informat Technol & Engn, Guangzhou 511363, Peoples R China
[2] Shanghai Jiao Tong Univ, Ningbo Artificial Intelligence Inst, Ningbo 315000, Peoples R China
[3] Shanghai Univ, Inst Artificial Intelligence, Shanghai 210209, Peoples R China
[4] Natl Univ Def Technol, Coll Comp, Changsha 410073, Peoples R China
来源：
FRONTIERS OF COMPUTER SCIENCE | 2024年 / 18卷 / 01期
关键词：
Compendex;
D O I：
10.1007/s11704-023-2597-8
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
引用
收藏
页数：3
相关论文
共 50 条
  • [1] Improving Fractal Pre-training
    Anderson, Connor
    Farrell, Ryan
    2022 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2022), 2022, : 2412 - 2421
  • [2] Code-aware fault localization with pre-training and interpretable machine learning
    Zhang, Zhuo
    Li, Ya
    Yang, Sha
    Zhang, Zhanjun
    Lei, Yan
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 238
  • [3] Unsupervised Pre-training for Temporal Action Localization Tasks
    Zhang, Can
    Yang, Tianyu
    Weng, Junwu
    Cao, Meng
    Wang, Jue
    Zou, Yuexian
    2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2022, : 14011 - 14021
  • [4] Fractals as Pre-Training Datasets for Anomaly Detection and Localization
    Ugwu, Cynthia I.
    Caruso, Emanuele
    Lanz, Oswald
    FRACTAL AND FRACTIONAL, 2024, 8 (11)
  • [5] Improving the Sample Efficiency of Pre-training Language Models
    Berend, Gabor
    ERCIM NEWS, 2024, (136): : 38 - 40
  • [6] Improving Monocular Depth Estimation by Semantic Pre-training
    Rottmann, Peter
    Posewsky, Thorbjorn
    Milioto, Andres
    Stachniss, Cyrill
    Behley, Jens
    2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2021, : 5916 - 5923
  • [7] SpanBERT: Improving Pre-training by Representing and Predicting Spans
    Joshi, Mandar
    Chen, Danqi
    Liu, Yinhan
    Weld, Daniel S.
    Zettlemoyer, Luke
    Levy, Omer
    TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, 2020, 8 : 64 - 77
  • [8] Improving Reinforcement Learning Pre-Training with Variational Dropout
    Blau, Tom
    Ott, Lionel
    Ramos, Fabio
    2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 4115 - 4122
  • [9] Pre-Training of an Artificial Neural Network for Software Fault Prediction
    Owhadi-Kareshk, Moein
    Sedaghat, Yasser
    Akbarzadeh-T, Mohammad-R
    PROCEEDINGS OF THE 2017 7TH INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE), 2017, : 223 - 228
  • [10] Boundary-sensitive Pre-training for Temporal Localization in Videos
    Xu, Mengmeng
    Perez-Rua, Juan-Manuel
    Escorcia, Victor
    Martinez, Brais
    Zhu, Xiatian
    Zhang, Li
    Ghanem, Bernard
    Xiang, Tao
    2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021), 2021, : 7200 - 7210
12345