Neural Architecture Search On Nas Bench 101
Metrics
Accuracy (%)
Results
Performance results of various models on this benchmark
Model Name | Accuracy (%) | Paper Title | Repository |
---|---|---|---|
Improved FireFly Algorithme | 94.03% | Improving Neural Architecture Search by Mixing a FireFly algorithm with a Training Free Evaluation | |
DiNAS | 94.98% | Multi-conditioned Graph Diffusion for Neural Architecture Search | |
FireFly | 93% | Improving Neural Architecture Search by Mixing a FireFly algorithm with a Training Free Evaluation | |
LayerNAS | 94.26% | LayerNAS: Neural Architecture Search in Polynomial Complexity | - |
GenNAS | - | Generic Neural Architecture Search via Regression |
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