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Class-unlearning on CIFAR-100 (test)

80.71Acc (Dr)B1
35.948447.569259.1970.8108Apr 5, 2026

Evaluation results

MethodLinks
B1Num_f=12026.0480.71————————————0
JellyfishNum_f=12026.0478.45————————————1
B6Num_f=12026.0478.24————————————1
B1Num_f=202026.0478.13————————————0
B7Num_f=12026.0465.24————————————0.7
originNum_f=12026.0464.43————————————84
originNum_f=202026.0464.43————————————63.6
B8Num_f=12026.0464.36————————————0.96
B2Num_f=12026.0463.7————————————1
B9Num_f=12026.0462.91————————————1
B5Num_f=12026.0462.07————————————16
JellyfishNum_f=202026.0458.79————————————1.25
B6Num_f=202026.0458.75————————————2.9
B5Num_f=202026.0455.01————————————19.15
B3Num_f=12026.0453.58————————————5.5
B7Num_f=202026.0451.96————————————1.02
B4Num_f=12026.0450.72————————————6
B9Num_f=202026.0450.59————————————0.61
B8Num_f=202026.0450.46————————————2.11
B2Num_f=202026.0447.35————————————0
B3Num_f=202026.0447.22————————————2.7
B4Num_f=202026.0437.67————————————8.6
ADV2026.03—————————42.53————
B. ShrinkingSetting=Zero-Shot Setting, Access to Dr=false2026.01——————————52.520.73.69—
Bad TeacherSetting=Standard Setting, Access to Dr and Df=true2026.01——————————67.210.71.69—
Bad-TBackbone=VGG16+BN, Unlearning Epochs=12023.02—44.14————————————
Bad-TBackbone=VGG16+BN, Unlearning Epochs=102023.02—43.33————————————
BEFORE2026.03—————————77.1————
BSDr (Access to remaining data)=false, Backbone=ResNet-182025.04——9.9361.167.2350.5372.8565.4254.3—————
CVFUm (number of unlearning classes)=20, n (percentage of samples to unlearn)=100%2025.12—————————58.28————
CVFUm (number of unlearning classes)=50, n (percentage of samples to unlearn)=100%2025.12—————————54.25————
EMMNSetting=Zero-Shot Setting, Access to Dr=false2026.01——————————1.2018.78—
ESCDr (Access to remaining data)=false, Backbone=ResNet-182025.04——0.889.460.574.2194.0885.0158.37—————
ESC-TDr (Access to remaining data)=false, Backbone=ResNet-182025.04——091.20.0976.7395.486.858.93—————
FedORAm (number of unlearning classes)=20, n (percentage of samples to unlearn)=100%2025.12—————————63.17————
FedORAm (number of unlearning classes)=50, n (percentage of samples to unlearn)=100%2025.12—————————59.53————
Fine-tuningSetting=Reference Baselines2026.01——————————695.91.59—
FinetuneDr (Access to remaining data)=true, Backbone=ResNet-182025.04——089.98074.1894.7285.1869.12—————
FisherDr (Access to remaining data)=false, Backbone=ResNet-182025.04——067.46054.5980.5770.6355.28—————
FISHER2026.03—————————1.92————
GAm (number of unlearning classes)=20, n (percentage of samples to unlearn)=100%2025.12—————————58.62————
GAm (number of unlearning classes)=50, n (percentage of samples to unlearn)=100%2025.12—————————50.6————
GKTSetting=Zero-Shot Setting, Access to Dr=false2026.01——————————51.243.61.21—
ICOm (number of unlearning classes)=20, n (percentage of samples to unlearn)=100%2025.12—————————60.56————
ICOm (number of unlearning classes)=50, n (percentage of samples to unlearn)=100%2025.12—————————57.96————
l1-sparseDr (Access to remaining data)=false, Backbone=ResNet-182025.04——057.34050.5972.8967.7956.42—————
L2UL2026.03—————————43.38————
LAUDr (Access to remaining data)=true, Backbone=ResNet-182025.04——044.14036.8461.2553.8460.53—————
NEGGRAD2026.03—————————20.82————
NegGrad+Backbone=VGG16+BN2023.02—43.16————————————
NGDr (Access to remaining data)=false, Backbone=ResNet-182025.04——13.2484.510.8771.6485.6279.4354.97—————
ORACLE2026.03—————————57.44————
OriginalBackbone=VGG16+BN2023.02—35.84————————————
OriginalDr (Access to remaining data)=false, Backbone=ResNet-182025.04——96.6695.7178.579.76.4533.8649.23—————
RAWP2026.03—————————28.14————
Representation UnlearningSetting=Standard Setting, Access to Dr and Df=true2026.01——————————73.40.20.88—
Representation UnlearningSetting=Zero-Shot Setting, Access to Dr=false2026.01——————————69.30.20.97—
RetrainBackbone=VGG16+BN2023.02—36.92————————————
RetrainDr (Access to remaining data)=false, Backbone=ResNet-182025.04——088.78078.8794.0688.1963.17—————
Retrainm (number of unlearning classes)=20, n (percentage of samples to unlearn)=100%2025.12—————————61.76————
Retrainm (number of unlearning classes)=50, n (percentage of samples to unlearn)=100%2025.12—————————59.05————
RetrainingSetting=Reference Baselines2026.01——————————74.41.10—
RLDr (Access to remaining data)=false, Backbone=ResNet-182025.04——27.4584.7419.3370.3878.1775.1753.23—————
SalUnDr (Access to remaining data)=false, Backbone=ResNet-182025.04——0.7696.642.3367.7397.9379.9956.12—————
SCRUBBackbone=VGG16+BN2023.02—38.27————————————
SCRUBDr (Access to remaining data)=true, Backbone=ResNet-182025.04——19.1586.9814.1475.8283.880.5356.33—————
SCRUBSetting=Standard Setting, Access to Dr and Df=true2026.01——————————73.39.90.79—
SCRUB+RBackbone=VGG16+BN2023.02—37.6————————————
SISASetting=Standard Setting, Access to Dr and Df=true2026.01——————————69.716.60.86—
STRUCTGUARD2026.03—————————50.65————
UNSIRSetting=Standard Setting, Access to Dr and Df=true2026.01——————————72.418.90.86—