2020
Fairness by Learning Orthogonal Disentangled Representations
ECCV 2020poster
Learning discriminative powerful representations is a crucial step for machine learning systems. Introducing invariance against arbitrary nuisance or sensitive attributes while performing well on specific tasks is an important problem in representation learning. This is mostly approached by purging…