Generating Fair Universal Representations using Adversarial Models

no code implementations • 27 Sep 2019 • Peter Kairouz, Jiachun Liao, Chong Huang, Maunil Vyas, Monica Welfert, Lalitha Sankar

We present a data-driven framework for learning fair universal representations (FUR) that guarantee statistical fairness for any learning task that may not be known a priori.

Fairness Human Activity Recognition