2021
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization
ICASSP 2021accepted
The widely-used cross-entropy (CE) loss-based deep networks achieved significant progress w.r.t. the classification accuracy. However, the CE loss can essentially ignore the risk of misclassification which is usually measured by the distance between the prediction and label in a semantic hierarchica…