Image Classification on CIFAR-100 (test) (Accuracy and Speedup)
0.758AccuracyONLINESUBMOD
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| ONLINESUBMODBudget Fraction=50%, Backbone=ResNet2025.11 | 0.758 | 1.92 | |
| RHO-LOSSBudget Fraction=50%, Backbone=ResNet2025.11 | 0.757 | 1.2 | |
| MILOBudget Fraction=50%, Backbone=ResNet2025.11 | 0.756 | 1.95 | |
| BOSSBudget Fraction=50%, Backbone=ResNet2025.11 | 0.754 | 1.9 | |
| ONLINESUBMODBudget Fraction=30%, Backbone=ResNet2025.11 | 0.754 | 3.3 | |
| GRADMATCHBudget Fraction=50%, Backbone=ResNet2025.11 | 0.753 | 1.3 | |
| CRAIGBudget Fraction=50%, Backbone=ResNet2025.11 | 0.751 | 1.5 | |
| RHO-LOSSBudget Fraction=30%, Backbone=ResNet2025.11 | 0.748 | 1.9 | |
| MILOBudget Fraction=30%, Backbone=ResNet2025.11 | 0.746 | 3.5 | |
| GRADMATCHBudget Fraction=30%, Backbone=ResNet2025.11 | 0.746 | 3.1 | |
| GLISTERBudget Fraction=50%, Backbone=ResNet2025.11 | 0.746 | 1.2 | |
| BOSSBudget Fraction=30%, Backbone=ResNet2025.11 | 0.737 | 3 | |
| ONLINESUBMODBudget Fraction=10%, Backbone=ResNet2025.11 | 0.736 | 9.2 | |
| CRAIGBudget Fraction=30%, Backbone=ResNet2025.11 | 0.723 | 2.5 | |
| MILOBudget Fraction=10%, Backbone=ResNet2025.11 | 0.723 | 10.1 | |
| GLISTERBudget Fraction=30%, Backbone=ResNet2025.11 | 0.723 | 2.6 | |
| BOSSBudget Fraction=10%, Backbone=ResNet2025.11 | 0.717 | 7.8 | |
| RHO-LOSSBudget Fraction=10%, Backbone=ResNet2025.11 | 0.713 | 3.9 | |
| GRADMATCHBudget Fraction=10%, Backbone=ResNet2025.11 | 0.683 | 6.9 | |
| CRAIGBudget Fraction=10%, Backbone=ResNet2025.11 | 0.672 | 5.1 | |
| GLISTERBudget Fraction=10%, Backbone=ResNet2025.11 | 0.642 | 7.7 |