Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems

25 March 2021

Papers citing "Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems"

6 / 6 papers shown

Title
MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities Katherine R. Maffey Kyle Dotterrer Jennifer Niemann Iain J. Cruickshank Grace A. Lewis Christian Kastner 17 4 0 03 Mar 2023
What are the Machine Learning best practices reported by practitioners on Stack Exchange? Anamaria Mojica-Hanke A. Bayona Mario Linares-Vásquez Steffen Herbold Fabio A. González HAI 19 6 0 25 Jan 2023
Measuring AI Systems Beyond Accuracy Violet Turri R. Dzombak Eric T. Heim Nathan M. VanHoudnos Jay Palat Anusha Sinha 22 0 0 07 Apr 2022
Data Smells: Categories, Causes and Consequences, and Detection of Suspicious Data in AI-based Systems Harald Foidl Michael Felderer Rudolf Ramler 13 31 0 19 Mar 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 29 21 0 12 Jan 2022
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process Nadia Nahar Shurui Zhou Grace A. Lewis Christian Kastner VLM 37 126 0 19 Oct 2021