Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions

17 February 2023

Papers citing "Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions"

3 / 3 papers shown

Title
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 177 185 0 03 Feb 2022
An Empirical Study of Modular Bias Mitigators and Ensembles Michael Feffer Martin Hirzel Samuel C. Hoffman Kiran Kate Parikshit Ram Avraham Shinnar 36 8 0 01 Feb 2022
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017