Image Classification on CIFAR10 (test) (Accuracy & Run Time)
79.08Top-1 AccuracyLAMP
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| LAMPSparsity=90%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 79.08 | — | — | |
| RRSparsity=90%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 78.7 | — | — | |
| ERKSparsity=90%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 78.29 | — | — | |
| Repair ResidualSparsity=90%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 76.82 | — | — | |
| Raw ShiftSparsity=90%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 76.79 | — | — | |
| LAMPSparsity=92.5%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 69.03 | — | — | |
| ERKSparsity=92.5%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 66.05 | — | — | |
| RRSparsity=92.5%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 65.84 | — | — | |
| Repair ResidualSparsity=92.5%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 63.51 | — | — | |
| Raw ShiftSparsity=92.5%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 59.38 | — | — | |
| GlobalSparsity=90%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 58.26 | — | — | |
| UniformSparsity=90%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 55.61 | — | — | |
| LAMPSparsity=95%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 49.24 | — | — | |
| ERKSparsity=95%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 45.34 | — | — | |
| RRSparsity=95%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 42.07 | — | — | |
| UniformSparsity=92.5%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 41.55 | — | — | |
| Repair ResidualSparsity=95%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 40.84 | — | — | |
| GlobalSparsity=92.5%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 39.8 | — | — | |
| Raw ShiftSparsity=95%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 39.47 | — | — | |
| UniformSparsity=95%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 29.87 | — | — | |
| RRSparsity=97.5%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 24.09 | — | — | |
| LAMPSparsity=97.5%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 23.45 | — | — | |
| GlobalSparsity=95%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 23.07 | — | — | |
| ERKSparsity=97.5%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 22.8 | — | — | |
| Repair ResidualSparsity=97.5%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 20.26 | — | — | |
| Raw ShiftSparsity=97.5%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 15.81 | — | — | |
| GlobalSparsity=97.5%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 15.07 | — | — | |
| UniformSparsity=97.5%, Backbone=ResNet34, Repair Strategy=CR+BN2026.05 | 13.63 | — | — | |
| ResNet18Method variant=Parametric2026.03 | — | 94.9 | 0.7 | |
| ResNet18-KNNMethod variant=KNN, Subsampling percentage=5%2026.03 | — | 94.5 | 1.1 | |
| ResNet18-KNNMethod variant=KNN, Subsampling percentage=10%2026.03 | — | 94.5 | 1.1 | |
| ResNet18-KNNMethod variant=KNN, Subsampling percentage=100%2026.03 | — | 94.5 | 1.5 | |
| SPM-CMethod variant=SPM (Clustering), Subsampling percentage=5%2026.03 | — | 94.5 | 0.7 | |
| SPM-CMethod variant=SPM (Clustering), Subsampling percentage=10%2026.03 | — | 94.5 | 0.7 | |
| SPM-CMethod variant=SPM (Clustering), Subsampling percentage=100%2026.03 | — | 94.5 | 0.7 | |
| SPM-RMethod variant=SPM (Retrieval), Subsampling percentage=5%2026.03 | — | 94.1 | 1 | |
| SPM-RMethod variant=SPM (Retrieval), Subsampling percentage=10%2026.03 | — | 94.1 | 1.1 | |
| SPM-RMethod variant=SPM (Retrieval), Subsampling percentage=100%2026.03 | — | 94.1 | 2.1 |