Image Classification on CIFAR-10 (test) (Test Accuracy)
98.02Test AccuracyCentral ridge retrain
Evaluation results
| Method | Links | |
|---|---|---|
| Central ridge retrainBackbone=DINOv2, Probe=Linear probing, Precision=fp32, Evaluation=Server model2026.03 | 98.02 | |
| Variant BBackbone=DINOv2, Probe=Linear probing, Precision=fp32, Evaluation=Server model2026.03 | 98.02 | |
| Variant ABackbone=DINOv2, Probe=Linear probing, Precision=fp32, Evaluation=Server model2026.03 | 98.01 | |
| FedAvg retrainBackbone=DINOv2, Probe=Linear probing, Precision=fp32, Evaluation=Server model2026.03 | 97.4 | |
| Exact-FunBackbone=DINOv2, Probe=Linear probing, Precision=fp32, Evaluation=Server model2026.03 | 96.64 | |
| FATSBackbone=DINOv2, Probe=Linear probing, Precision=fp32, Evaluation=Server model2026.03 | 96.34 | |
| HTMuonBackbone=ResNet502026.03 | 96.13 | |
| HTMuon + NorMuonBackbone=ResNet502026.03 | 96.04 | |
| NorMuonBackbone=ResNet502026.03 | 96.03 | |
| Data AgentSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 96 | |
| MuonBackbone=ResNet502026.03 | 95.97 | |
| HTMuonBackbone=ResNet182026.03 | 95.63 | |
| InfoBatchSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 95.6 | |
| NorMuonBackbone=ResNet182026.03 | 95.57 | |
| RL-SelectorSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 95.4 | |
| HTMuon + NorMuonBackbone=ResNet182026.03 | 95.4 | |
| MuonBackbone=ResNet182026.03 | 95.39 | |
| GraNdSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 95.3 | |
| MoSoSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 95.3 | |
| UCBSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 95.3 | |
| Data AgentSelection Ratio (%)=50, Backbone=ResNet-182026.03 | 95.3 | |
| EL2NSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 95.2 | |
| ModerateSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 95.2 | |
| GlisterSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 95.2 | |
| Self-sup. prototypesSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 95.2 | |
| ε-GreedySelection Ratio (%)=70, Backbone=ResNet-182026.03 | 95.2 | |
| SGDMBackbone=ResNet502026.03 | 95.16 | |
| SGDMBackbone=ResNet182026.03 | 95.15 | |
| InfoBatchSelection Ratio (%)=50, Backbone=ResNet-182026.03 | 95.1 | |
| EL2NSelection Ratio (%)=50, Backbone=ResNet-182026.03 | 95 | |
| CLIP-SelSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 95 | |
| Data AgentSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 95 | |
| DPSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 94.9 | |
| ε-GreedySelection Ratio (%)=50, Backbone=ResNet-182026.03 | 94.9 | |
| Random*Selection Ratio (%)=70, Backbone=ResNet-182026.03 | 94.8 | |
| ForgettingSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 94.7 | |
| UCBSelection Ratio (%)=50, Backbone=ResNet-182026.03 | 94.7 | |
| InfoBatchSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 94.7 | |
| GraNdSelection Ratio (%)=50, Backbone=ResNet-182026.03 | 94.6 | |
| CLIP-SelSelection Ratio (%)=50, Backbone=ResNet-182026.03 | 94.5 | |
| Random*Selection Ratio (%)=50, Backbone=ResNet-182026.03 | 94.5 | |
| MoSoSelection Ratio (%)=50, Backbone=ResNet-182026.03 | 94.2 | |
| ForgettingSelection Ratio (%)=50, Backbone=ResNet-182026.03 | 94.1 | |
| ModerateSelection Ratio (%)=50, Backbone=ResNet-182026.03 | 94.1 | |
| ε-GreedySelection Ratio (%)=30, Backbone=ResNet-182026.03 | 94.1 | |
| GlisterSelection Ratio (%)=50, Backbone=ResNet-182026.03 | 94 | |
| Self-sup. prototypesSelection Ratio (%)=50, Backbone=ResNet-182026.03 | 94 | |
| RandomSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 93.9 | |
| UCBSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 93.9 | |
| DPSelection Ratio (%)=50, Backbone=ResNet-182026.03 | 93.8 | |
| Random*Selection Ratio (%)=30, Backbone=ResNet-182026.03 | 93 | |
| RandomSelection Ratio (%)=50, Backbone=ResNet-182026.03 | 92.3 | |
| HerdingSelection Ratio (%)=70, Backbone=ResNet-182026.03 | 92.2 | |
| CLIP-SelSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 91.9 | |
| RL-SelectorSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 91.8 | |
| ForgettingSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 91.7 | |
| EL2NSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 91.6 | |
| ModerateSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 91.5 | |
| GraNdSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 91.2 | |
| MoSoSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 91.1 | |
| Self-sup. prototypesSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 91 | |
| GlisterSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 90.9 | |
| DPSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 90.8 | |
| RandomSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 90.2 | |
| CleanBackbone=VGG-112026.03 | 88.39 | |
| HerdingSelection Ratio (%)=50, Backbone=ResNet-182026.03 | 88 | |
| TUEBackbone=VGG-112026.03 | 87.67 | |
| CleanBackbone=DenseNet-1212026.03 | 87.17 | |
| CleanBackbone=ResNet-502026.03 | 86.48 | |
| TUEBackbone=DenseNet-1212026.03 | 86.3 | |
| TUEBackbone=ResNet-502026.03 | 85.68 | |
| REMBackbone=ResNet-502026.03 | 85.06 | |
| Whole TDataset Size=Full2026.03 | 84.8 | |
| CleanBackbone=ResNet-182026.03 | 84.1 | |
| DATM+OursIPC=502026.03 | 83.8 | |
| TUEBackbone=ResNet-182026.03 | 82.72 | |
| EMNBackbone=VGG-112026.03 | 80.9 | |
| HerdingSelection Ratio (%)=30, Backbone=ResNet-182026.03 | 80.1 | |
| AutoPaletteIPC=502026.03 | 79.4 | |
| DATM+OursIPC=102026.03 | 79 | |
| SPEEDIPC=502026.03 | 77.7 | |
| DM+OursIPC=502026.03 | 77.1 | |
| DATMIPC=502026.03 | 76.1 | |
| FreDIPC=502026.03 | 75.8 | |
| SpectralIPC=502026.03 | 75.2 | |
| 14ABackbone=DenseNet-1212026.03 | 74.89 | |
| IDCIPC=502026.03 | 74.5 | |
| REMBackbone=ResNet-182026.03 | 74.46 | |
| AutoPaletteIPC=102026.03 | 74.3 | |
| HaBaIPC=502026.03 | 74 | |
| SPEEDIPC=102026.03 | 73.5 | |
| SpectralIPC=102026.03 | 73.4 | |
| DSA+OursIPC=502026.03 | 73.4 | |
| 14ABackbone=ResNet-502026.03 | 72.81 | |
| GUEBackbone=DenseNet-1212026.03 | 72.31 | |
| MTTIPC=502026.03 | 71.6 | |
| GUEBackbone=ResNet-502026.03 | 71.42 | |
| FreDIPC=102026.03 | 70.3 | |
| HaBaIPC=102026.03 | 69.9 | |
| DATM+OursIPC=12026.03 | 68.9 |