Command Palette
Search for a command to run...
Network Pruning On Cifar 10
Metrics
Accuracy
GFLOPs
Results
Performance results of various models on this benchmark
| Paper Title | Repository | |||
|---|---|---|---|---|
| TAS-pruned ResNet-110 | 94.33 | 0.119 | Network Pruning via Transformable Architecture Search | |
| MobileNet – Quantised | - | - | Quantisation and Pruning for Neural Network Compression and Regularisation | |
| ShuffleNet – Quantised | - | - | Quantisation and Pruning for Neural Network Compression and Regularisation | |
| AlexNet – Quantised | - | - | Quantisation and Pruning for Neural Network Compression and Regularisation |
0 of 4 row(s) selected.