Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow

26 December 2021

Papers citing "Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow"

8 / 8 papers shown

Title
A Survey on Failure Analysis and Fault Injection in AI Systems Guangba Yu Gou Tan Haojia Huang Zhenyu Zhang Pengfei Chen Roberto Natella Zibin Zheng 39 4 0 28 Jun 2024
Enhancing Differential Testing With LLMs For Testing Deep Learning Libraries Meiziniu Li Dongze Li Jianmeng Liu Jialun Cao Yongqiang Tian Shing-Chi Cheung 58 1 0 12 Jun 2024
Bugs in Large Language Models Generated Code: An Empirical Study Florian Tambon Arghavan Moradi Dakhel Amin Nikanjam Foutse Khomh Michel C. Desmarais G. Antoniol ELM 42 33 0 13 Mar 2024
Bug Characterization in Machine Learning-based Systems Mohammad Mehdi Morovati Amin Nikanjam Florian Tambon Foutse Khomh Zhen Ming Z. Jiang 31 20 0 26 Jul 2023
An Empirical Study on Bugs Inside PyTorch: A Replication Study Sharon Chee Yin Ho Vahid Majdinasab Mohayeminul Islam D. Costa Emad Shihab Foutse Khomh Sarah Nadi Muhammad Raza 9 6 0 25 Jul 2023
Comparative analysis of real bugs in open-source Machine Learning projects -- A Registered Report Tuan Dung Lai Anj Simmons Scott Barnett Jean-Guy Schneider Rajesh Vasa 9 1 0 20 Sep 2022
COMET: Coverage-guided Model Generation For Deep Learning Library Testing Meiziniu Li Jialun Cao Yongqiang Tian T. Li Ming Wen Shing-Chi Cheung VLM 23 19 0 02 Aug 2022
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study Tatiana Castro Vélez Raffi Khatchadourian M. Bagherzadeh A. Raja 11 9 0 24 Jan 2022