Digits
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Digits-Five | Accuracy (Source: mt)99.28 | 55 | |
| Classification | Digits (test) | Accuracy (SVHN)77.56 | 49 | |
| Domain Generalization | Digits-DG | Accuracy96.38 | 38 | |
| Classification | Digits | Macro-F1100 | 36 | |
| Digit Recognition | Digits SVHN, MNIST, USPS (test) | Average Accuracy98.8 | 29 | |
| Scalability analysis | Digits | Per-iteration Wall-Clock Time (ms)1 | 25 | |
| Clustering | digits | ARI0.9 | 23 | |
| Image Classification | Digits | Average Accuracy97.6 | 23 | |
| Hierarchical Agglomerative Clustering | digits | Dendrogram Purity90.4 | 20 | |
| Single-Source Domain Generalization | Digits (test) | Acc (MNIST-M)87.76 | 19 | |
| Image Classification | Digits (MNIST, USPS, SVHN, MNIST-M) standard (test) | Source Drop4.2 | 15 | |
| Image Classification | Digits | Accuracy (SVHN Source)70.1 | 13 | |
| Classification | Digits | Accuracy97.3 | 13 | |
| Node Classification | Digits (test) | Accuracy92.5 | 13 | |
| Classification | Digits (train) | Training Loss0.1129 | 12 | |
| Off-Policy Evaluation | Digits (UCI) | MSE0.0006 | 12 | |
| Image Classification | Digits MNIST | Average Accuracy99.47 | 12 | |
| Unsupervised Domain Adaptation | Digits (MNIST, USPS, SVHN) | Accuracy (S->M)92.3 | 12 | |
| Explanation Regularity | Digits | Regularity73.1 | 11 | |
| Explanation Fidelity Estimation | Digits | Fidelity (R2 Score)0.577 | 11 | |
| Explanation Stability | Digits | Stability100 | 11 | |
| Multimodal Subspace Clustering | Digits | Accuracy95.15 | 11 | |
| Error Detection | Digits | F1 Score88.1 | 10 | |
| Accuracy Estimation | Digits | Absolute Estimation Error0.023 | 10 | |
| Clustering | digits | F-measure70.78 | 9 |
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