Pairwise Learning Increases Data Efficiency in Deep Neural Networks.

arXiv:2610.27669v1 Announce Type: cross Abstract: Deep neural networks often fail at small-sample regression, collapsing to low-variance predictions that miss individual differences. Here, we introduce a pairwise comparison framework that reframes regression a