Machine Unlearning on Tiny-ImageNet
52.27MBGUNSIR
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| UNSIRNumber of forgotten classes=12026.05 | 52.27 | — | — | — | — | — | — | — | |
| UNSIRNumber of forgotten classes=32026.05 | 51.05 | — | — | — | — | — | — | — | |
| TS-BGRMNumber of forgotten classes=12026.05 | 50.91 | — | — | — | — | — | — | — | |
| TS-BGRMNumber of forgotten classes=32026.05 | 50.89 | — | — | — | — | — | — | — | |
| OriginalNumber of forgotten classes=12026.05 | 50.63 | — | — | — | — | — | — | — | |
| OriginalNumber of forgotten classes=32026.05 | 50.6 | — | — | — | — | — | — | — | |
| Random-labelNumber of forgotten classes=12026.05 | 50.58 | — | — | — | — | — | — | — | |
| SalUnNumber of forgotten classes=12026.05 | 50.58 | — | — | — | — | — | — | — | |
| SSDNumber of forgotten classes=12026.05 | 50.51 | — | — | — | — | — | — | — | |
| Random-labelNumber of forgotten classes=32026.05 | 50.5 | — | — | — | — | — | — | — | |
| SSDNumber of forgotten classes=32026.05 | 50.5 | — | — | — | — | — | — | — | |
| SalUnNumber of forgotten classes=32026.05 | 50.48 | — | — | — | — | — | — | — | |
| LB-HRNumber of forgotten classes=12026.05 | 50.43 | — | — | — | — | — | — | — | |
| LB-HRNumber of forgotten classes=32026.05 | 50.37 | — | — | — | — | — | — | — | |
| FTNumber of forgotten classes=12026.05 | 50.28 | — | — | — | — | — | — | — | |
| RetrainNumber of forgotten classes=32026.05 | 50.12 | — | — | — | — | — | — | — | |
| FTNumber of forgotten classes=32026.05 | 50.11 | — | — | — | — | — | — | — | |
| SFNumber of forgotten classes=32026.05 | 50.08 | — | — | — | — | — | — | — | |
| RetrainNumber of forgotten classes=12026.05 | 50.07 | — | — | — | — | — | — | — | |
| NegGrad+Number of forgotten classes=32026.05 | 50 | — | — | — | — | — | — | — | |
| SFNumber of forgotten classes=12026.05 | 49.95 | — | — | — | — | — | — | — | |
| NegGrad+Number of forgotten classes=12026.05 | 49.65 | — | — | — | — | — | — | — | |
| SCRUBNumber of forgotten classes=32026.05 | 48.93 | — | — | — | — | — | — | — | |
| TS-BGMNumber of forgotten classes=12026.05 | 48.74 | — | — | — | — | — | — | — | |
| TS-BGMNumber of forgotten classes=32026.05 | 48.5 | — | — | — | — | — | — | — | |
| SCRUBNumber of forgotten classes=12026.05 | 45.81 | — | — | — | — | — | — | — | |
| BiasShiftNumber of forgotten classes=12026.05 | 1.42 | — | — | — | — | — | — | — | |
| BiasShiftNumber of forgotten classes=32026.05 | 1.42 | — | — | — | — | — | — | — | |
| Amns2025.12 | — | 55.4 | 22.91 | 53.8 | 28.52 | 7.21 | — | — | |
| BiasShiftNumber of forgotten classes=12026.05 | — | — | — | — | — | — | — | 3.84 | |
| BiasShiftNumber of forgotten classes=32026.05 | — | — | — | — | — | — | — | 3.84 | |
| CCUP2025.12 | — | 55.4 | 9.32 | 53.8 | 48.6 | 40.88 | — | — | |
| Emb2025.12 | — | 55.4 | 14.66 | 53.8 | 38.4 | 25.34 | — | — | |
| EMMN2025.12 | — | 55.4 | 26.1 | 53.8 | 37.66 | 13.16 | — | — | |
| FTUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=30%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 5 | — | |
| FTUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=50%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 6.6 | — | |
| FTNumber of forgotten classes=12026.05 | — | — | — | — | — | — | — | 98.97 | |
| FTNumber of forgotten classes=32026.05 | — | — | — | — | — | — | — | 98.53 | |
| IEU w/GAUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=30%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 2.4 | — | |
| IEU w/GAUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=50%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 3.1 | — | |
| IEU w/GA+NoisyUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=30%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 2.7 | — | |
| IEU w/GA+NoisyUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=50%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 2.8 | — | |
| IEU w/NoisyUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=30%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 2.4 | — | |
| IEU w/NoisyUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=50%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 2.6 | — | |
| LB-HRNumber of forgotten classes=12026.05 | — | — | — | — | — | — | — | 98.98 | |
| LB-HRNumber of forgotten classes=32026.05 | — | — | — | — | — | — | — | 98.95 | |
| Lip2025.12 | — | 55.4 | 20.11 | 53.8 | 35.34 | 16.83 | — | — | |
| NegGrad+Number of forgotten classes=12026.05 | — | — | — | — | — | — | — | 96.63 | |
| NegGrad+Number of forgotten classes=32026.05 | — | — | — | — | — | — | — | 98.09 | |
| OriginalNumber of forgotten classes=12026.05 | — | — | — | — | — | — | — | 99.52 | |
| OriginalNumber of forgotten classes=32026.05 | — | — | — | — | — | — | — | 99.56 | |
| Random-labelNumber of forgotten classes=12026.05 | — | — | — | — | — | — | — | 99.75 | |
| Random-labelNumber of forgotten classes=32026.05 | — | — | — | — | — | — | — | 99.91 | |
| RetrainNumber of forgotten classes=12026.05 | — | — | — | — | — | — | — | 98.33 | |
| RetrainNumber of forgotten classes=32026.05 | — | — | — | — | — | — | — | 98.3 | |
| RetrainingUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=30%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 0 | — | |
| RetrainingUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=50%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 0 | — | |
| RLUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=30%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 5.9 | — | |
| RLUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=50%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 6.8 | — | |
| SalUnNumber of forgotten classes=12026.05 | — | — | — | — | — | — | — | 99.71 | |
| SalUnNumber of forgotten classes=32026.05 | — | — | — | — | — | — | — | 99.96 | |
| SALUNUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=30%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 11.5 | — | |
| SALUNUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=50%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 11.8 | — | |
| SCRUBUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=30%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 5.4 | — | |
| SCRUBUnlearning Scenario=Random Data Forgetting, Forgetting Ratio=50%, Backbone=ResNet2026.04 | — | — | — | — | — | — | 7.6 | — | |
| SCRUBNumber of forgotten classes=12026.05 | — | — | — | — | — | — | — | 83.64 | |
| SCRUBNumber of forgotten classes=32026.05 | — | — | — | — | — | — | — | 93.88 | |
| SFNumber of forgotten classes=12026.05 | — | — | — | — | — | — | — | 92.43 | |
| SFNumber of forgotten classes=32026.05 | — | — | — | — | — | — | — | 92.8 | |
| SSDNumber of forgotten classes=12026.05 | — | — | — | — | — | — | — | 99.99 | |
| SSDNumber of forgotten classes=32026.05 | — | — | — | — | — | — | — | 99.98 | |
| TS-BGMNumber of forgotten classes=12026.05 | — | — | — | — | — | — | — | 92.82 | |
| TS-BGMNumber of forgotten classes=32026.05 | — | — | — | — | — | — | — | 92.15 | |
| TS-BGRMNumber of forgotten classes=12026.05 | — | — | — | — | — | — | — | 99.66 | |
| TS-BGRMNumber of forgotten classes=32026.05 | — | — | — | — | — | — | — | 99.78 | |
| UNSIRNumber of forgotten classes=12026.05 | — | — | — | — | — | — | — | 93.68 | |
| UNSIRNumber of forgotten classes=32026.05 | — | — | — | — | — | — | — | 98.45 | |
| ZSL-CLIP2025.12 | — | 55.4 | 12.08 | 53.8 | 43.91 | 33.43 | — | — |