Image Classification on ImageNet16-120 (test) (Robustness Metrics)
50.58Clean AccuracyPC-DARTS
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| PC-DARTSTraining-free NAS=false, Params (M)=5.30, #GPU=8, Batch Size=10242023.06 | 50.58 | 14.36 | 0.15 | 0.3 | |
| DrNASTraining-free NAS=false, Params (M)=5.70, #GPU=8, Batch Size=5122023.06 | 49.63 | 13.42 | 0.21 | 0.42 | |
| CRoZeTraining-free NAS=true, Params (M)=5.87, #GPU=1, Batch Size=82023.06 | 47.9 | 13.35 | 0.32 | 0.64 | |
| SynFlowTraining-free NAS=true, Params (M)=6.13, #GPU=1, Batch Size=82023.06 | 43.73 | 12.1 | 0.15 | 0.3 | |
| GradNormTraining-free NAS=true, Params (M)=5.90, #GPU=1, Batch Size=82023.06 | 39.13 | 10.75 | 0.23 | 0.46 | |
| AdvRushTraining-free NAS=false, Params (M)=4.20, #GPU=1, Batch Size=642023.06 | 38.72 | 10.39 | 0.11 | 0.22 |