The author evaluates uncertainty estimators across various tasks on ImageNet, highlighting the challenges in achieving disentanglement and the importance of task-centric approaches for developing robust uncertainty estimators.
Disentanglement of uncertainty remains challenging in practice despite theoretical advancements.