Thibaud Lutellier

Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training

Deep learning (DL) systems have been gaining popularity in critical tasks such as credit evaluation and crime prediction. Such systems demand fairness. Recent work shows that DL software implementations introduce variance: identical DL training runs (i.e., identical network, data, configuration, sof…