List your company

Machine Unlearning on CIFAR-100 30% class-wise data forgetting (train/test)

99.9Utility (Accuracy, Train, Retained Data)Retraining
73.980.6587.494.15Apr 10, 2026

Evaluation results

MethodLinks
RetrainingBackbone=ViT2026.0499.963.8000.8330
IEU w/GABackbone=ViT2026.0499.864000.8330.001
FTBackbone=ViT2026.0499.763.80.20.10.8340.001
SCRUBBackbone=ResNet2026.0499.3770.20.20.8330.008
FTBackbone=ResNet2026.0499.275.7000.8330.004
RLBackbone=ViT2026.0499.262.5000.8330.004
IEU w/GABackbone=ResNet2026.049974.4000.8330.001
RLBackbone=ResNet2026.0498.975000.8330.003
RetrainingBackbone=ResNet2026.0498.674.4000.8360
IEU w/NoisyBackbone=ViT2026.0498.264.2000.8350.005
IEU w/NoisyBackbone=ResNet2026.0497.774.3000.8330.003
IEU w/GA+NoisyBackbone=ResNet2026.0497.474.2000.8330.003
IEU w/GA+NoisyBackbone=ViT2026.0496.862.6000.8370.009
SCRUBBackbone=ViT2026.049664.5000.8380.01
SALUNBackbone=ResNet2026.0489.769.71.71.20.830.034
SALUNBackbone=ViT2026.0474.958.40.40.30.8390.063