Adaptive Margin Ordinal Loss: Penalizing center-class hedging in ordinal classification
Read the original at arxiv.org→arXiv:2609.10752v1 Announce Type: new Abstract: Standard cross-entropy loss causes neural networks trained on ordinal classification tasks to hedge predictions toward center classes, a failure mode we term...
Original headline: "Adaptive Margin Ordinal Loss: Penalizing Center-Class Hedging in Ordinal Classification"
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- Sep 11, 04:00 UTC arXiv cs.LG lead source Adaptive Margin Ordinal Loss: Penalizing Center-Class Hedging in Ordinal Classification