2021
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics
NeurIPS 2021poster
With the recent expanding attention of machine learning researchers and practitioners to fairness, there is a void of a common framework to analyze and compare the capabilities of proposed models in deep representation learning. In this paper, we evaluate different fairness methods trained with deep…