End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning

6 April 2021

Papers citing "End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning"

2 / 2 papers shown

Title
Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes James Lucas Juhan Bae Michael Ruogu Zhang Stanislav Fort R. Zemel Roger C. Grosse MoMe 164 28 0 22 Apr 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 326 4,223 0 23 Aug 2019