Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Guillermo Ortiz-Jimenez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou | Summary: Label noise is a pervasive problem in deep learning that often compromises the generalization performance of trained models. Recently, leveraging privileged information (PI) — information available only during training but not at test time — […]
Continue.. Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels