Image Classification on Tiny ImageNet (Speedup and Memory)
3.97SpeedupTransductive-SUBSELNET
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Transductive-SUBSELNETRAR Target=20%2024.09 | 3.97 | 12,447.1 | |
| Inductive-SUBSELNETRAR Target=20%2024.09 | 3.54 | 14,505.4 | |
| Bottom-b-loss+gumbelRAR Target=20%2024.09 | 2.72 | 15,085.9 | |
| Bottom-b-lossRAR Target=10%2024.09 | 2.54 | 15,947.6 | |
| Transductive-SUBSELNETRAR Target=10%2024.09 | 2.54 | 16,281.1 | |
| EL2NRAR Target=10%2024.09 | 2.3 | 21,811.1 | |
| GLISTERRAR Target=20%2024.09 | 2.18 | 22,687.6 | |
| GraNdRAR Target=10%2024.09 | 2.16 | 24,822.6 | |
| GradMatchRAR Target=20%2024.09 | 2.08 | 25,530.4 | |
| Inductive-SUBSELNETRAR Target=10%2024.09 | 2.02 | 17,326.6 | |
| Bottom-b-loss+gumbelRAR Target=10%2024.09 | 1.88 | 17,624.4 | |
| GLISTERRAR Target=10%2024.09 | 1.65 | 26,705.5 | |
| GradMatchRAR Target=10%2024.09 | 1.53 | 28,249.9 | |
| Selection-via-ProxyRAR Target=10%2024.09 | 1.04 | 30,717.2 |