Image Classification on TissueMNIST v1 (test)
0.68AccuracyRate-In
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Rate-InFull Model Accuracy=0.68, Dropout Rate (ρ,ε)=0.052024.12 | 0.68 | 0.84 | |
| Rate-InFull Model Accuracy=0.68, Dropout Rate (ρ,ε)=0.12024.12 | 0.64 | 0.8 | |
| ScheduledFull Model Accuracy=0.68, Dropout Rate (ρ,ε)=0.052024.12 | 0.56 | 0.7 | |
| ActivationFull Model Accuracy=0.68, Dropout Rate (ρ,ε)=0.052024.12 | 0.54 | 0.67 | |
| ConstantFull Model Accuracy=0.68, Dropout Rate (ρ,ε)=0.052024.12 | 0.53 | 0.67 | |
| Rate-InFull Model Accuracy=0.68, Dropout Rate (ρ,ε)=0.22024.12 | 0.48 | 0.59 | |
| ScheduledFull Model Accuracy=0.68, Dropout Rate (ρ,ε)=0.12024.12 | 0.36 | 0.47 | |
| ActivationFull Model Accuracy=0.68, Dropout Rate (ρ,ε)=0.12024.12 | 0.32 | 0.4 | |
| ConstantFull Model Accuracy=0.68, Dropout Rate (ρ,ε)=0.12024.12 | 0.31 | 0.37 | |
| ScheduledFull Model Accuracy=0.68, Dropout Rate (ρ,ε)=0.22024.12 | 0.13 | 0.19 | |
| ActivationFull Model Accuracy=0.68, Dropout Rate (ρ,ε)=0.22024.12 | 0.1 | 0.24 | |
| ConstantFull Model Accuracy=0.68, Dropout Rate (ρ,ε)=0.22024.12 | 0.09 | 0.25 |