Distributionally Robust Deep Learning using Hardness Weighted Sampling

Lucas Fidon, Michael Aertsen, Thomas Deprest +14

Limiting failures of machine learning systems is of paramount importance for safety-critical applications. In order to improve the robustness of machine learning systems, Distribut…