Fair Interpretable Representation Learning with Correction Vectors

Fair Interpretable Representation Learning with Correction Vectors

7 February 2022

Roberto Esposito

Stefan Kramer

Papers citing "Fair Interpretable Representation Learning with Correction Vectors"

4 / 4 papers shown

Title
10 Years of Fair Representations: Challenges and Opportunities Mattia Cerrato Marius Köppel Philipp Wolf Stefan Kramer FaML 39 2 0 04 Jul 2024
Invariant Representations with Stochastically Quantized Neural Networks Mattia Cerrato Marius Köppel Roberto Esposito Stefan Kramer MQ 32 4 0 04 Aug 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 33 160 0 14 Jul 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019