Image Classification on ImageNet (Top-1 Acc. and Time)
77.59Top-1 AccuracyLLQR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LLQRBackbone=ResNet-50, Batch Size=256, Epochs=902026.05 | 77.59 | 1.034 | |
| SGDMBackbone=ResNet-50, Batch Size=256, Epochs=902026.05 | 77.19 | 1 | |
| AdaFisher†Backbone=ResNet-50, Batch Size=256, Epochs=902026.05 | 76.95 | — | |
| Shampoo†Backbone=ResNet-50, Batch Size=256, Epochs=902026.05 | 72.82 | — | |
| K-FAC†Backbone=ResNet-50, Batch Size=256, Epochs=902026.05 | 70.96 | — | |
| Adam†Backbone=ResNet-50, Batch Size=256, Epochs=902026.05 | 67.78 | — |