Image Classification on Tiny ImageNet 200 (test)
66.16Test AccuracyBMLR-P
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| BMLR-PSpace=P^n_K, Backbone=ResNet-18, Fit time (s/epoch)=71.98, #Params=102.80K2026.02 | 66.16 | — | — | |
| BMLR-LSpace=L^n_K, Backbone=ResNet-18, Fit time (s/epoch)=69.19, #Params=102.80K2026.02 | 65.99 | — | — | |
| DIFFUSEMIXBackbone=PreactResNet-18, Training Epochs=300 epochs2024.04 | 65.77 | 83.66 | — | |
| LMLRSpace=L^n_K, Backbone=ResNet-18, Fit time (s/epoch)=69.27, #Params=102.60K2026.02 | 65.63 | — | — | |
| PBMLR-PSpace=P^n_K, Backbone=ResNet-18, Fit time (s/epoch)=336.58, #Params=204.80K2026.02 | 65.43 | — | — | |
| MLRSpace=R^n, Backbone=ResNet-18, Fit time (s/epoch)=69.17, #Params=102.60K2026.02 | 65.19 | — | — | |
| PMLRSpace=P^n_K, Backbone=ResNet-18, Fit time (s/epoch)=71.90, #Params=102.80K2026.02 | 64.93 | — | — | |
| LLQR+SAMArchitecture=WRN-28-10, Induced geometry=NGD-induced2026.05 | 64.65 | — | — | |
| Guided-APBackbone=PreactResNet-18, Training Epochs=300 epochs2024.04 | 64.63 | 82.49 | — | |
| LLQR+SAMArchitecture=WRN-28-10, Induced geometry=Newton-induced2026.05 | 64.59 | — | — | |
| Co-MixupBackbone=PreactResNet-18, Training Epochs=300 epochs2024.04 | 64.15 | — | — | |
| SAMArchitecture=WRN-28-102026.05 | 63.91 | — | — | |
| PuzzleMixBackbone=PreactResNet-18, Training Epochs=300 epochs2024.04 | 63.48 | 75.52 | — | |
| LLQR+SAMArchitecture=ResNet-18, Induced geometry=NGD-induced2026.05 | 62.24 | — | — | |
| LLQR+SAMArchitecture=ResNet-18, Induced geometry=Newton-induced2026.05 | 61.98 | — | — | |
| SAMArchitecture=ResNet-182026.05 | 61.17 | — | — | |
| SGDMArchitecture=WRN-28-10, Geometry=Base2026.05 | 61.06 | — | — | |
| LLQRArchitecture=WRN-28-10, Induced geometry=Newton-induced2026.05 | 60.37 | — | — | |
| LLQRArchitecture=WRN-28-10, Induced geometry=NGD-induced2026.05 | 60.08 | — | — | |
| SGDMArchitecture=ResNet-18, Geometry=Base2026.05 | 57.97 | — | — | |
| LLQRArchitecture=ResNet-18, Induced geometry=Newton-induced2026.05 | 57.62 | — | — | |
| VanillaBackbone=PreactResNet-18, Training Epochs=300 epochs2024.04 | 57.23 | 73.65 | — | |
| LLQRArchitecture=ResNet-18, Induced geometry=NGD-induced2026.05 | 57.02 | — | — | |
| SaliencyMixBackbone=PreactResNet-18, Training Epochs=300 epochs2024.04 | 56.54 | 76.14 | — | |
| Guided-SRBackbone=PreactResNet-18, Training Epochs=300 epochs2024.04 | 55.97 | 74.68 | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.5, Label Budget (b)=50%2026.03 | 55.89 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.7, Label Budget (b)=50%2026.03 | 55.63 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.6, Label Budget (b)=50%2026.03 | 55.29 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.8, Label Budget (b)=50%2026.03 | 55.18 | — | — | |
| Baseline (AL)Architecture=ResNet-50, Label Budget (b)=50%2026.03 | 54.65 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.6, Label Budget (b)=40%2026.03 | 52.09 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.7, Label Budget (b)=40%2026.03 | 52.02 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.5, Label Budget (b)=40%2026.03 | 51.84 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.8, Label Budget (b)=40%2026.03 | 51.77 | — | — | |
| Baseline (AL)Architecture=ResNet-50, Label Budget (b)=40%2026.03 | 49.86 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.5, Label Budget (b)=30%2026.03 | 47.41 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.8, Label Budget (b)=30%2026.03 | 47.15 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.6, Label Budget (b)=30%2026.03 | 47.02 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.7, Label Budget (b)=30%2026.03 | 46.45 | — | — | |
| Baseline (AL)Architecture=ResNet-50, Label Budget (b)=30%2026.03 | 43.96 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.5, Label Budget (b)=20%2026.03 | 39.7 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.7, Label Budget (b)=20%2026.03 | 39.24 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.6, Label Budget (b)=20%2026.03 | 38.84 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.8, Label Budget (b)=20%2026.03 | 37.86 | — | — | |
| Baseline (AL)Architecture=ResNet-50, Label Budget (b)=20%2026.03 | 33.62 | — | — | |
| V-MCR2Objective=V-MCR2, Training Epochs=2000, d=5002022.03 | 26.65 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.6, Label Budget (b)=10%2026.03 | 19.25 | — | — | |
| CEObjective=CE, Training Epochs=2000, d=5002022.03 | 19.07 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.5, Label Budget (b)=10%2026.03 | 18.71 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.8, Label Budget (b)=10%2026.03 | 18.34 | — | — | |
| PruneFuseArchitecture=ResNet-50, Pruning ratio (p)=0.7, Label Budget (b)=10%2026.03 | 18.32 | — | — | |
| Baseline (AL)Architecture=ResNet-50, Label Budget (b)=10%2026.03 | 14.86 | — | — | |
| MCR2Objective=MCR2, Training Epochs=200, d=5002022.03 | 13.19 | — | — |