2 papers
cs.CV2021
FairCal: Fairness Calibration for Face Verification
Tiago Salvador, Stephanie Cairns, Vikram Voleti +2
Despite being widely used, face recognition models suffer from bias: the probability of a false positive (incorrect face match) strongly depends on sensitive attributes such as the…
cs.LG2019
Volume-preserving Neural Networks
Gordon MacDonald, Andrew Godbout, Bryn Gillcash +1
We propose a novel approach to addressing the vanishing (or exploding) gradient problem in deep neural networks. We construct a new architecture for deep neural networks where all…