Image Classification on TinyImageNet (test) (Accuracy and Speedup)
62.6AccuracyONLINESUBMOD
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| ONLINESUBMODBudget Fraction=50%, Backbone=ResNet2025.11 | 62.6 | 2.6 | |
| MILOBudget Fraction=50%, Backbone=ResNet2025.11 | 62.3 | 2.6 | |
| GLISTERBudget Fraction=50%, Backbone=ResNet2025.11 | 62.1 | 1.7 | |
| RHO-LOSSBudget Fraction=50%, Backbone=ResNet2025.11 | 62.1 | 2 | |
| BOSSBudget Fraction=50%, Backbone=ResNet2025.11 | 62.1 | 2.15 | |
| GRADMATCHBudget Fraction=50%, Backbone=ResNet2025.11 | 61.9 | 2.1 | |
| CRAIGBudget Fraction=50%, Backbone=ResNet2025.11 | 61.5 | 1.7 | |
| ONLINESUBMODBudget Fraction=30%, Backbone=ResNet2025.11 | 60.7 | 3.08 | |
| BOSSBudget Fraction=30%, Backbone=ResNet2025.11 | 60.1 | 2.9 | |
| RHO-LOSSBudget Fraction=30%, Backbone=ResNet2025.11 | 59.7 | 2.57 | |
| MILOBudget Fraction=30%, Backbone=ResNet2025.11 | 59.3 | 3.1 | |
| GRADMATCHBudget Fraction=30%, Backbone=ResNet2025.11 | 58.1 | 2.62 | |
| GLISTERBudget Fraction=30%, Backbone=ResNet2025.11 | 56.3 | 2.65 | |
| CRAIGBudget Fraction=30%, Backbone=ResNet2025.11 | 55.5 | 2.41 | |
| ONLINESUBMODBudget Fraction=10%, Backbone=ResNet2025.11 | 55.3 | 8.43 | |
| RHO-LOSSBudget Fraction=10%, Backbone=ResNet2025.11 | 54.4 | 5 | |
| MILOBudget Fraction=10%, Backbone=ResNet2025.11 | 53.2 | 8.62 | |
| GRADMATCHBudget Fraction=10%, Backbone=ResNet2025.11 | 52.6 | 5.92 | |
| BOSSBudget Fraction=10%, Backbone=ResNet2025.11 | 52.6 | 5.4 | |
| CRAIGBudget Fraction=10%, Backbone=ResNet2025.11 | 52.4 | 4.82 | |
| GLISTERBudget Fraction=10%, Backbone=ResNet2025.11 | 51.5 | 5.5 |