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ResearchFormerly WizWand

Image Classification on CIFAR-100-C 30% corrupted (test)

73.6AccuracyFully Supervised
10.47226.86143.2559.639May 22, 2026
Updated 5mo ago

Evaluation results

MethodLinks
Fully SupervisedLabel Usage=With Labels, Pruning Rate=30%2026.0573.6
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=30%2026.0573.3
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=30%2026.0573.1
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=30%2026.0573.1
PrototypicalityLabel Usage=Without Labels, Pruning Rate=30%2026.0572.5
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=30%2026.0571.5
Fully SupervisedLabel Usage=With Labels, Pruning Rate=50%2026.0571.1
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=50%2026.0570.4
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=50%2026.0570
RandomLabel Usage=Without Labels, Pruning Rate=30%2026.0569.8
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=50%2026.0568.7
ZCoreLabel Usage=Without Labels, Pruning Rate=30%2026.0568.4
PrototypicalityLabel Usage=Without Labels, Pruning Rate=50%2026.0568.1
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=50%2026.0568
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=30%2026.0567.5
ZCoreLabel Usage=Without Labels, Pruning Rate=50%2026.0565.7
RandomLabel Usage=Without Labels, Pruning Rate=50%2026.0565.4
Fully SupervisedLabel Usage=With Labels, Pruning Rate=70%2026.0565.2
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=70%2026.0563.9
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=70%2026.0563.8
Fully SupervisedLabel Usage=With Labels, Pruning Rate=80%2026.0561.1
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=70%2026.0561.1
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=70%2026.0560.2
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=80%2026.0560.2
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=50%2026.0558.6
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=80%2026.0558.6
PrototypicalityLabel Usage=Without Labels, Pruning Rate=70%2026.0558.3
ZCoreLabel Usage=Without Labels, Pruning Rate=70%2026.0557.2
RandomLabel Usage=Without Labels, Pruning Rate=70%2026.0556.7
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=80%2026.0556.6
ZCoreLabel Usage=Without Labels, Pruning Rate=80%2026.0554.5
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=80%2026.0554.1
Fully SupervisedLabel Usage=With Labels, Pruning Rate=90%2026.0552.6
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=90%2026.0552
PrototypicalityLabel Usage=Without Labels, Pruning Rate=80%2026.0550.4
RandomLabel Usage=Without Labels, Pruning Rate=80%2026.0549.7
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=90%2026.0547.5
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=90%2026.0544.9
ZCoreLabel Usage=Without Labels, Pruning Rate=90%2026.0541.3
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=90%2026.0538.6
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=70%2026.0536.6
RandomLabel Usage=Without Labels, Pruning Rate=90%2026.0535.8
PrototypicalityLabel Usage=Without Labels, Pruning Rate=90%2026.0535.7
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=80%2026.0525
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=90%2026.0512.9