Classification Efficiency (Conformal Prediction) on CIFAR100 ResNet20 (test)
6.3501Efficiency Rate (gamma_n,m)TSCP
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| TSCPTransductive size (n)=9, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.09 | 6.3501 | 2.1697 | 86 | |
| SCPTransductive size (n)=9, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.09 | 6.0168 | 3.4213 | 88 | |
| APSTransductive size (n)=9, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.09 | 4.3061 | 3.4631 | 96 | |
| APSTransductive size (n)=6, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.09 | 3.9817 | 2.7293 | 90 | |
| SCPTransductive size (n)=6, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.09 | 3.9318 | 2.8739 | 86 | |
| APSTransductive size (n)=3, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.09 | 3.5698 | 2.4436 | 94 | |
| SCPTransductive size (n)=3, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.09 | 3.4899 | 2.4144 | 92 | |
| TSCPTransductive size (n)=6, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.09 | 2.5856 | 2.2654 | 88 | |
| TSCPTransductive size (n)=3, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.09 | 2.402 | 1.9271 | 90 |