Network Pruning On Cifar 100
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| AC/DC | 78.2 | AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks | - |
| Beta-Rank | 74.01 | Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis | - |
| +U-DML* | - | PP-StructureV2: A Stronger Document Analysis System | - |
| TAS-pruned ResNet-110 | 73.16 | Network Pruning via Transformable Architecture Search | - |
| Dense | 79 | AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks | - |
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