Sparse Learning
Papers
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Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Resnet-50: 80% Sparse | Top-1 Accuracy | 77.1 | — | Unverified |
| 2 | Resnet-50: 90% Sparse | Top-1 Accuracy | 76.4 | — | Unverified |
| 3 | Resnet-50: 80% Sparse 100 epochs | Top-1 Accuracy | 76 | — | Unverified |
| 4 | Resnet-50: 80% Sparse 100 epochs | Top-1 Accuracy | 75.84 | — | Unverified |
| 5 | Resnet-50: 90% Sparse 100 epochs | Top-1 Accuracy | 74.5 | — | Unverified |
| 6 | Resnet-50: 90% Sparse 100 epochs | Top-1 Accuracy | 73.82 | — | Unverified |
| 7 | MobileNet-v1: 75% Sparse | Top-1 Accuracy | 71.9 | — | Unverified |
| 8 | MobileNet-v1: 90% Sparse | Top-1 Accuracy | 68.1 | — | Unverified |
| 9 | SINDy | Top-1 Accuracy | 6 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Resnet18 | Sparsity | 92.43 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Resnet18 | Sparsity | 93.63 | — | Unverified |