Theory In, Theory Out: The uses of social theory in machine learning for social science

9 January 2020

Papers citing "Theory In, Theory Out: The uses of social theory in machine learning for social science"

4 / 4 papers shown

Title
AI and Social Theory Jakob Mokander Ralph Schroeder 31 8 0 07 Jul 2024
Reflections on Inductive Thematic Saturation as a potential metric for measuring the validity of an inductive Thematic Analysis with LLMs S. Paoli W. S. Mathis 27 3 0 06 Jan 2024
Diversity and Inclusion Metrics in Subset Selection Margaret Mitchell Dylan K. Baker Nyalleng Moorosi Emily L. Denton Ben Hutchinson A. Hanna Timnit Gebru Jamie Morgenstern FaML 150 85 0 09 Feb 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015