Sparse Learning On Imagenet
Metriken
Top-1 Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Top-1 Accuracy |
|---|---|
| do-we-actually-need-dense-over | 73.82 |
| sparse-learning-of-stochastic-dynamic | 6 |
| sparse-training-via-boosting-pruning | 74.5 |
| rigging-the-lottery-making-all-tickets-1 | 71.9 |
| sparse-training-via-boosting-pruning | 76 |
| rigging-the-lottery-making-all-tickets-1 | 77.1 |
| do-we-actually-need-dense-over | 75.84 |
| rigging-the-lottery-making-all-tickets-1 | 68.1 |
| rigging-the-lottery-making-all-tickets-1 | 76.4 |