Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow

被引:0
|
作者
Florian Tambon
Amin Nikanjam
Le An
Foutse Khomh
Giuliano Antoniol
机构
[1] Polytechnique Montreal,
来源
关键词
Deep learning; Bug analysis; Empirical study; Keras; TensorFlow;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow
    Tambon, Florian
    Nikanjam, Amin
    An, Le
    Khomh, Foutse
    Antoniol, Giuliano
    EMPIRICAL SOFTWARE ENGINEERING, 2024, 29 (01)
  • [2] An Empirical Study on Performance Bugs in Deep Learning Frameworks
    Makkouk, Tarek
    Kim, Dong Jae
    Chen, Tse-Hsun
    2022 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME 2022), 2022, : 35 - 46
  • [3] An Empirical Study on TensorFlow Program Bugs
    Zhang, Yuhao
    Chen, Yifan
    Cheung, Shing-Chi
    Xiong, Yingfei
    Zhang, Lu
    ISSTA'18: PROCEEDINGS OF THE 27TH ACM SIGSOFT INTERNATIONAL SYMPOSIUM ON SOFTWARE TESTING AND ANALYSIS, 2018, : 129 - 140
  • [4] An Empirical Study on Bugs Inside TensorFlow
    Jia, Li
    Zhong, Hao
    Wang, Xiaoyin
    Huang, Linpeng
    Lu, Xuansheng
    DATABASE SYSTEMS FOR ADVANCED APPLICATIONS (DASFAA 2020), PT I, 2020, 12112 : 604 - 620
  • [5] An Empirical Study of Bugs in Quantum Machine Learning Frameworks
    Zhao, Pengzhan
    Wu, Xiongfei
    Luo, Junjie
    Li, Zhuo
    Zhao, Jianjun
    2023 IEEE INTERNATIONAL CONFERENCE ON QUANTUM SOFTWARE, QSW, 2023, : 68 - 75
  • [6] An Empirical Study on Common Bugs in Deep Learning Compilers
    Du, Xiaoting
    Zheng, Zheng
    Ma, Lei
    Zhao, Jianjun
    2021 IEEE 32ND INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING (ISSRE 2021), 2021, : 184 - 195
  • [7] An Empirical Study on Numerical Bugs in Deep Learning Programs
    Wang, Gan
    Wang, Zan
    Chen, Junjie
    Chen, Xiang
    Yan, Ming
    PROCEEDINGS OF THE 37TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING, ASE 2022, 2022,
  • [8] hyper-sinh: An accurate and reliable function from shallow to deep learning in TensorFlow and Keras
    Parisi, Luca
    Ma, Renfei
    RaviChandran, Narrendar
    Lanzillotta, Matteo
    MACHINE LEARNING WITH APPLICATIONS, 2021, 6
  • [9] A Review of Local Feature Algorithms and Deep Learning Approaches in Facial Expression Recognition with Tensorflow and Keras
    Chengeta, Kennedy
    PATTERN RECOGNITION, MCPR 2019, 2019, 11524 : 127 - 138
  • [10] Towards enhancing the reproducibility of deep learning bugs: an empirical study
    Shah, Mehil B.
    Rahman, Mohammad Masudur
    Khomh, Foutse
    EMPIRICAL SOFTWARE ENGINEERING, 2025, 30 (01)