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Image Classification on CIFAR-10 (test) (Performance Percentiles)

95.5Accuracy (30%)Fully Supervised
94.35694.65394.9595.247May 22, 2026

Evaluation results

MethodLinks
Fully SupervisedLabel Usage=With Labels2026.0595.595.29391.487.1
Semi-AUM+CutoffLabel Usage=With 10% Labels2026.0595.495.293.191.387.2
Semi-DUAL+BetaLabel Usage=With 10% Labels2026.0595.49592.790.986.2
ELFS (DINO)Label Usage=Without Labels2026.0595.395.19391.386.9
Score ExtrapolationLabel Usage=With 10% Labels2026.0595.394.691.989.481.5
PrototypicalityLabel Usage=Without Labels2026.0595.193.987.279.759.1
ELFS (Self-Encoder)Label Usage=Without Labels2026.0594.893.591.289.584.5
ZCoreLabel Usage=Without Labels2026.0594.693.59189.184.2
RandomLabel Usage=Without Labels2026.0594.493.290.588.383.7