Image Classification on CIFAR-100 LT (50:1 ratio) (test)
2.919LossIGLU-Approx
Evaluation results
| Method | Links | ||
|---|---|---|---|
| IGLU-Approxsigma=0.1, Backbone=ResNet-202026.03 | 2.919 | 32.12 | |
| IGLUsigma=0.1, Backbone=ResNet-202026.03 | 2.982 | 29.43 | |
| IGLUsigma=0.5, Backbone=ResNet-202026.03 | 3.923 | 37.76 | |
| IGLU-Approxsigma=0.5, Backbone=ResNet-202026.03 | 4.023 | 36.29 | |
| ReLUBackbone=ResNet-202026.03 | 4.448 | 36.28 | |
| IGLUsigma=1, Backbone=ResNet-202026.03 | 4.482 | 36.24 | |
| IGLU-Approxsigma=1, Backbone=ResNet-202026.03 | 4.558 | 36.51 | |
| IGLU-Approxsigma=5, Backbone=ResNet-202026.03 | 4.611 | 35.24 | |
| MishBackbone=ResNet-202026.03 | 4.619 | 36.34 | |
| IGLUsigma=10, Backbone=ResNet-202026.03 | 4.651 | 35.48 | |
| IGLU-Approxsigma=10, Backbone=ResNet-202026.03 | 4.666 | 34.94 | |
| GELUBackbone=ResNet-202026.03 | 4.705 | 35.08 | |
| IGLUsigma=5, Backbone=ResNet-202026.03 | 4.756 | 35.27 | |
| HardswishBackbone=ResNet-202026.03 | 4.773 | 35.61 | |
| SiLUBackbone=ResNet-202026.03 | 4.933 | 34.81 |