Adaptive Margin Ordinal Loss: Penalizing Center-Class Hedging in Ordinal Classification
This story is from 2026-09-11. It is preserved in the archive; the latest stories are on the live feed.
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 \emph{center-class hedging}. This occurs because predicting the middle class minimizes expect…
Read the full story at arXiv cs.LG ↗
Timeline · 1 report
- 2026-09-11 04:00 · arXiv cs.LG
Adaptive Margin Ordinal Loss: Penalizing Center-Class Hedging in Ordinal Classification