Detecting and Understanding Real-World Differential Performance Bugs in Machine Learning Libraries

3 June 2020

Papers citing "Detecting and Understanding Real-World Differential Performance Bugs in Machine Learning Libraries"

5 / 5 papers shown

Title
Predicting Fairness of ML Software Configurations Salvador Robles Herrera Verya Monjezi V. Kreinovich Ashutosh Trivedi Saeid Tizpaz-Niari 39 1 0 29 Apr 2024
Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory Saeid Tizpaz-Niari Sriram Sankaranarayanan 24 0 0 10 Apr 2024
Towards a Change Taxonomy for Machine Learning Systems Aaditya Bhatia Ellis E. Eghan Manel Grichi William G. Cavanagh Zhen Ming Z. Jiang Bram Adams 36 8 0 21 Mar 2022
Understanding Performance Problems in Deep Learning Systems Junming Cao Bihuan Chen Chao Sun Longjie Hu Shuai Wu Xin Peng 30 27 0 03 Dec 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges G. Giray 38 121 0 14 Dec 2020