Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation

Estanislao Claucich, Sara Hooker, Diego H. Milone +2

Ensembling is commonly regarded as an effective way to improve the general performance of models in machine learning, while also increasing the robustness of predictions. When it c…