no code implementations • 14 Dec 2022 • Teresa Datta, Daniel Nissani, Max Cembalest, Akash Khanna, Haley Massa, John P. Dickerson
Motivated by mitigating potentially harmful impacts of technologies, the AI community has formulated and accepted mathematical definitions for certain pillars of accountability: e. g. privacy, fairness, and model transparency.
no code implementations • 6 Jun 2020 • Deepan Das, Haley Massa, Abhimanyu Kulkarni, Theodoros Rekatsinas
Generalization Performance of Deep Learning models trained using Empirical Risk Minimization can be improved significantly by using Data Augmentation strategies such as simple transformations, or using Mixed Samples.