Rethinking Representation Geometry in Supervised Contrastive Learning under Long-Tailed Data.

arXiv:2610.32039v1 Announce Type: cross Abstract: Supervised contrastive learning and its balanced variants have demonstrated their effectiveness for representation learning under long-tailed distributions. However, although prior analyses suggest that their o