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Machine Unlearning on Tiny-ImageNet (1 Class Forgetting)

66.52Retain AccuracyRetain-only Retrain
57.617659.928862.2464.5512Apr 9, 2026

Evaluation results

MethodLinks
Retain-only RetrainEvaluation Protocol=Output2026.0466.52—0——
Retain-only RetrainAccuracy Evaluation Protocol=Output2026.0466.52—0——
Retain-only RetrainEvaluation Protocol=Linear Probe2026.0465.9—46.4——
Retain-only RetrainAccuracy Evaluation Protocol=Linear Probe2026.0465.9—46.4——
SalUnAccuracy Evaluation Protocol=Output2026.0465.49—0.4——
Random-labelAccuracy Evaluation Protocol=Output2026.0465.48—0.4——
SCRUBAccuracy Evaluation Protocol=Output2026.0465.43—1.2——
OriginalEvaluation Protocol=Output2026.0465.27—58.8——
OriginalAccuracy Evaluation Protocol=Output2026.0465.27—58.8——
Retain-only FTAccuracy Evaluation Protocol=Output2026.0465.26—37.6——
OriginalEvaluation Protocol=Linear Probe2026.0465.1—60.8——
OriginalAccuracy Evaluation Protocol=Linear Probe2026.0465.1—60.8——
UNSIRAccuracy Evaluation Protocol=Output2026.0464.66—0——
OriginalEvaluation Protocol=NCC2026.0464.65—60——
OriginalAccuracy Evaluation Protocol=NCC2026.0464.65—60——
SVDAccuracy Evaluation Protocol=NCC2026.0464.65—60——
Retain-only FTAccuracy Evaluation Protocol=Linear Probe2026.0464.44—56——
SCRUBAccuracy Evaluation Protocol=Linear Probe2026.0464.44—56——
SVDAccuracy Evaluation Protocol=Output2026.0464.43—2——
SCRUBAccuracy Evaluation Protocol=NCC2026.0464.37—60.4——
Random-labelAccuracy Evaluation Protocol=Linear Probe2026.0464.07—58——
SalUnAccuracy Evaluation Protocol=Linear Probe2026.0464.07—55.6——
Retain-only FTAccuracy Evaluation Protocol=NCC2026.0464—57.6——
UNSIRAccuracy Evaluation Protocol=Linear Probe2026.0463.88—61.2——
Retain-only RetrainEvaluation Protocol=NCC2026.0463.57—71.2——
Retain-only RetrainAccuracy Evaluation Protocol=NCC2026.0463.57—71.2——
SalUnAccuracy Evaluation Protocol=NCC2026.0463.33—68.8——
Random-labelAccuracy Evaluation Protocol=NCC2026.0463.2—69.2——
Salun with CMFEvaluation Protocol=Linear Probe2026.0463.18—41.2——
UNSIRAccuracy Evaluation Protocol=NCC2026.0463.16—59.2——
SVDAccuracy Evaluation Protocol=Linear Probe2026.0463.1—60.4——
NegGrad+ with CMFEvaluation Protocol=Linear Probe2026.0462.9—41.2——
Salun with CMFEvaluation Protocol=NCC2026.0462.67—37.2——
Salun with CMFEvaluation Protocol=Output2026.0462.62—30——
Random-label with CMFEvaluation Protocol=Linear Probe2026.0462.56—32.8——
NegGrad+ with CMFEvaluation Protocol=NCC2026.0462.31—38.8——
Scrub with CMFEvaluation Protocol=Linear Probe2026.0462.13—36.8——
Random-label with CMFEvaluation Protocol=Output2026.0462.01—22.4——
Random-label with CMFEvaluation Protocol=NCC2026.0461.96—27.2——
Scrub with CMFEvaluation Protocol=NCC2026.0461.66—34.4——
Scrub with CMFEvaluation Protocol=Output2026.0461.64—27.2——
NegGrad+ with CMFEvaluation Protocol=Output2026.0461.18—22——
UNSIR with CMFEvaluation Protocol=Linear Probe2026.0460.96—26.8——
UNSIR with CMFEvaluation Protocol=Output2026.0460.81—14——
UNSIR with CMFEvaluation Protocol=NCC2026.0460.63—26——
NegGrad+Accuracy Evaluation Protocol=Linear Probe2026.0460.43—58——
NegGrad+Accuracy Evaluation Protocol=NCC2026.0459.01—37.6——
NegGrad+Accuracy Evaluation Protocol=Output2026.0457.96—0——
BiasShiftForget Classes=12026.05———0.0271.71
FTForget Classes=12026.05———255.041.61
LB-HRForget Classes=12026.05———152.470.96
NegGrad+Forget Classes=12026.05———363.422.3
NegGrad+ with CMFEvaluation Protocol=Output2026.04—22———
NegGrad+ with CMFEvaluation Protocol=Linear Probe2026.04—41.2———
NegGrad+ with CMFEvaluation Protocol=NCC2026.04—38.8———
OriginalEvaluation Protocol=Output2026.04—58.8———
OriginalEvaluation Protocol=Linear Probe2026.04—60.8———
OriginalEvaluation Protocol=NCC2026.04—60———
Random-labelForget Classes=12026.05———162.131.02
Random-label with CMFEvaluation Protocol=Output2026.04—22.4———
Random-label with CMFEvaluation Protocol=Linear Probe2026.04—32.8———
Random-label with CMFEvaluation Protocol=NCC2026.04—27.2———
Retain-only RetrainEvaluation Protocol=Output2026.04—0———
Retain-only RetrainEvaluation Protocol=Linear Probe2026.04—46.4———
Retain-only RetrainEvaluation Protocol=NCC2026.04—71.2———
RetrainForget Classes=12026.05———15,776.07—
SalUnForget Classes=12026.05———164.531.04
Salun with CMFEvaluation Protocol=Output2026.04—30———
Salun with CMFEvaluation Protocol=Linear Probe2026.04—41.2———
Salun with CMFEvaluation Protocol=NCC2026.04—37.2———
SCRUBForget Classes=12026.05———1,216.767.71
Scrub with CMFEvaluation Protocol=Output2026.04—27.2———
Scrub with CMFEvaluation Protocol=Linear Probe2026.04—36.8———
Scrub with CMFEvaluation Protocol=NCC2026.04—34.4———
SFForget Classes=12026.05———298.461.89
SSDForget Classes=12026.05———43.120.27
TS-BGMForget Classes=12026.05———33.850.21
TS-BGRMForget Classes=12026.05———32.860.2
UNSIRForget Classes=12026.05———718.44.55
UNSIR with CMFEvaluation Protocol=Output2026.04—14———
UNSIR with CMFEvaluation Protocol=Linear Probe2026.04—26.8———
UNSIR with CMFEvaluation Protocol=NCC2026.04—26———