2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
NeurIPS 2020poster
In real-world classification tasks, each class often comprises multiple finer-grained "subclasses." As the subclass labels are frequently unavailable, models trained using only the coarser-grained class labels often exhibit highly variable performance across different subclasses. This phenomenon, kn…