Image Classification on Skewed MNIST
95.89Macro AccuracyBounded Adaptive
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Bounded Adaptiveε=4.0, Architecture=two-layer CNN2025.06 | 95.89 | 78.89 | |
| Bounded Adaptiveε=2.0, Architecture=two-layer CNN2025.06 | 95.75 | 78.18 | |
| Fix-Boundedε=4.0, Architecture=two-layer CNN2025.06 | 95.65 | 77.05 | |
| AUTOε=2.0, Architecture=two-layer CNN2025.06 | 95.23 | 74.23 | |
| Bounded Adaptiveε=4.0, Backbone=ResNet-182025.06 | 95.07 | 71.57 | |
| Fix-Boundedε=2.0, Architecture=two-layer CNN2025.06 | 95.07 | 75.28 | |
| AUTOε=4.0, Architecture=two-layer CNN2025.06 | 95.05 | 73.04 | |
| Constant Clippingε=4.0, Architecture=two-layer CNN2025.06 | 94.98 | 72.37 | |
| Bounded Adaptiveε=1.0, Architecture=two-layer CNN2025.06 | 94.19 | 70.07 | |
| Unbounded Adaptiveε=2.0, Architecture=two-layer CNN2025.06 | 94.19 | 71.48 | |
| Bounded Adaptiveε=2.0, Backbone=ResNet-182025.06 | 94.11 | 68.87 | |
| Fix-Boundedε=1.0, Architecture=two-layer CNN2025.06 | 94.11 | 68.3 | |
| Constant Clippingε=2.0, Architecture=two-layer CNN2025.06 | 94.11 | 67.65 | |
| Constant Clippingε=4.0, Backbone=ResNet-182025.06 | 93.46 | 59.73 | |
| Fix-Bounded Adaptiveε=4.0, Backbone=ResNet-182025.06 | 93.17 | 64.41 | |
| Unbounded Adaptiveε=4.0, Architecture=two-layer CNN2025.06 | 93.16 | 64.29 | |
| Unbounded Adaptiveε=1.0, Architecture=two-layer CNN2025.06 | 92.88 | 64.61 | |
| AUTOε=1.0, Architecture=two-layer CNN2025.06 | 92.53 | 65.66 | |
| Fix-Bounded Adaptiveε=2.0, Backbone=ResNet-182025.06 | 92.23 | 63.36 | |
| Unbounded Adaptiveε=4.0, Backbone=ResNet-182025.06 | 91.99 | 45.52 | |
| Constant Clippingε=1.0, Architecture=two-layer CNN2025.06 | 91.52 | 62.55 | |
| Unbounded Adaptiveε=2.0, Backbone=ResNet-182025.06 | 91.43 | 48.69 | |
| Constant Clippingε=2.0, Backbone=ResNet-182025.06 | 91.04 | 46.61 | |
| AUTOε=4.0, Backbone=ResNet-182025.06 | 89.8 | 27.66 | |
| AUTOε=2.0, Backbone=ResNet-182025.06 | 88.12 | 19.96 | |
| Bounded Adaptiveε=1.0, Backbone=ResNet-182025.06 | 87.32 | 11.13 | |
| AUTOε=1.0, Backbone=ResNet-182025.06 | 86.83 | 9.49 | |
| Constant Clippingε=1.0, Backbone=ResNet-182025.06 | 86.63 | 3.53 | |
| Unbounded Adaptiveε=1.0, Backbone=ResNet-182025.06 | 86.12 | 4.83 | |
| Fix-Bounded Adaptiveε=1.0, Backbone=ResNet-182025.06 | 85.87 | 10.62 |