Image Classification on MNIST vectorized (test)
0.042NLLVSD
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| VSDArchitecture=FC 400x22021.02 | 0.042 | 0.0108 | 0.006 | |
| SWAGArchitecture=FC 750x32021.02 | 0.043 | 0.0125 | 0.007 | |
| SWAGArchitecture=FC 400x22021.02 | 0.044 | 0.0127 | 0.008 | |
| VSDArchitecture=FC 750x32021.02 | 0.048 | 0.0109 | 0.006 | |
| MC DropoutArchitecture=FC 400x22021.02 | 0.049 | 0.0126 | 0.007 | |
| VDArchitecture=FC 400x22021.02 | 0.051 | 0.0121 | 0.007 | |
| ELRGArchitecture=FC 400x22021.02 | 0.053 | 0.0154 | — | |
| MC DropoutArchitecture=FC 750x32021.02 | 0.057 | 0.0122 | 0.007 | |
| Deep EnsemblesArchitecture=FC 400x22021.02 | 0.057 | 0.0129 | 0.009 | |
| VDArchitecture=FC 750x32021.02 | 0.061 | 0.0117 | 0.008 | |
| Deep EnsemblesArchitecture=FC 750x32021.02 | 0.063 | 0.0121 | 0.009 | |
| MAPArchitecture=FC 400x22021.02 | 0.098 | 0.0132 | 0.011 | |
| MAPArchitecture=FC 750x32021.02 | 0.109 | 0.0127 | 0.011 | |
| BBBArchitecture=FC 400x22021.02 | 0.109 | 0.0159 | 0.011 | |
| BBBArchitecture=FC 750x32021.02 | 0.14 | 0.015 | 0.013 |