Neural Network Compression On Cifar 10
Metrics
Size (MB)
Results
Performance results of various models on this benchmark
Model Name | Size (MB) | Paper Title | Repository |
|---|---|---|---|
| SST-HT | 1005.1122 | Online Multi-target regression trees with stacked leaf models | - |
| Model 2 | 993.5337 | Online Multi-target regression trees with stacked leaf models | - |
| MobileNet – Quantised | 2.9 | Quantisation and Pruning for Neural Network Compression and Regularisation | |
| AlexNet – Quantised | 54.6 | Quantisation and Pruning for Neural Network Compression and Regularisation | |
| ShuffleNet – Quantised | 1.9 | Quantisation and Pruning for Neural Network Compression and Regularisation |
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