Adaptive Margin Ordinal Loss: Penalizing Center-Class Hedging in Ordinal Classification

Standard cross-entropy loss causes neural networks trained on ordinal classification tasks to hedge predictions toward center classes, a failure mode we term \emph{center-class hedging}. This occurs because predicting the middle class minimizes expected symmetric loss, making it the path of least re