2026
SCAD: Super-Class-Aware Debiasing for Long-Tailed Semi-Supervised Learning
ICLR 2026poster
In long-tailed semi-supervised learning (LTSSL), pseudolabeling often creates a vicious cycle of bias amplification, a problem that recent state-of-the-art methods attempt to mitigate using logit adjustment (LA). However, their adjustment schemes, inherited from LA, remain inherently hierarchyagnost…