arxiv
PublishedOctober 16, 2026 at 4:00 AM
Uncertainty Quantification in Pairwise Difference Learning for Classification
Publisher summary· verbatim
arXiv:2610.21554v1 Announce Type: cross Abstract: Instead of learning a mapping from instances to outcomes in the standard way, the key idea of pairwise difference learning (PDL) is to learn a function that takes two instances as input and predicts the difference between the respective outcomes. Giv
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Originally published on arxiv ↗