COMET: Coverage-guided Model Generation For Deep Learning Library Testing

2 August 2022

Papers citing "COMET: Coverage-guided Model Generation For Deep Learning Library Testing"

6 / 6 papers shown

Title
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
Deep Learning Library Testing: Definition, Methods and Challenges Xiaoyu Zhang Weipeng Jiang Chao Shen Qi Li Qian Wang Chenhao Lin Xiaohong Guan AAML 41 1 0 27 Apr 2024
ACETest: Automated Constraint Extraction for Testing Deep Learning Operators Jingyi Shi Yang Xiao Yuekang Li Yeting Li Dongsong Yu Chendong Yu Hui Su Jinan Xu Wei Huo AAML 24 13 0 29 May 2023
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem Purvish Jajal Wenxin Jiang Arav Tewari Erik Kocinare Joseph Woo Anusha Sarraf Yung-Hsiang Lu George K. Thiruvathukal James C. Davis 35 0 0 30 Mar 2023
Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow Florian Tambon Amin Nikanjam Le An Foutse Khomh G. Antoniol 19 34 0 26 Dec 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 316 10,621 0 19 Feb 2017