Multi-MNIST
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Controllable Pareto Front Learning | Multi-MNIST (10-fold CV) | Hypervolume2.974 | 8 | |
| Digit Classification | Multi-MNIST 3-digits (test) | Test Accuracy (eps=0.00)98.76 | 8 | |
| Digit Classification | Multi-MNIST 2-digits (test) | Accuracy (eps=0.00)95.66 | 8 | |
| Multi-task image classification | Multi-MNIST (test) | Task 1 Accuracy92.61 | 7 | |
| Object Detection | Multi-MNIST | F1 Score88.7 | 5 | |
| Bottom-right digit classification | Multi-MNIST | ECE (%)4 | 5 | |
| Top-left digit classification | Multi-MNIST | ECE3.28 | 5 | |
| Multi-Task Learning | Multi-MNIST Fashion F+M | Epochs100 | 4 | |
| Task #2 | Multi-MNIST (test) | Metric- | 0 | |
| Task #1 | Multi-MNIST (test) | Metric- | 0 |
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