arxiv
PublishedOctober 16, 2026 at 4:00 AM
Efficient Pairwise Difference Learning: A Comparative Study of Encoding Strategies and Training Pair Selection
Publisher summary· verbatim
arXiv:2610.21644v1 Announce Type: cross Abstract: Pairwise Difference Learning for Classification (PDC) enhances supervised learning in low-data regimes by training a binary similarity classifier on pairs of instances rather than individual samples, effectively inflating the training set from $n$ to
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