Digits
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | Digits (test) | Accuracy (SVHN)77.56 | 49 | |
| Image Classification | Digits-Five | Accuracy (Source: mt)99.28 | 44 | |
| Domain Generalization | Digits-DG | Accuracy96.38 | 38 | |
| Digit Recognition | Digits SVHN, MNIST, USPS (test) | Accuracy (S->M)99.4 | 26 | |
| 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 | |
| Clustering | digits | ARI0.9 | 17 | |
| Image Classification | Digits (MNIST, USPS, SVHN, MNIST-M) standard (test) | Source Drop4.2 | 15 | |
| Classification | Digits | Accuracy97.3 | 13 | |
| Node Classification | Digits (test) | Accuracy92.5 | 13 | |
| 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 | |
| Multimodal Subspace Clustering | Digits | Accuracy95.15 | 11 | |
| Error Detection | Digits | F1 Score88.1 | 10 | |
| Accuracy Estimation | Digits | Absolute Estimation Error0.023 | 10 | |
| Multi-Target Domain Adaptation | Digits-Four (test) | Accuracy (sv->mt)92.8 | 8 | |
| Clustering | Digits | Accuracy95.6 | 6 | |
| Handwritten character recognition | Digits (test) | Test Accuracy99.17 | 5 | |
| Unsupervised Domain Adaptation | Digits MNIST and USPS (test) | Accuracy (M->U)95.9 | 5 | |
| Classification | Digits (val) | Accuracy94.72 | 4 | |
| Classification | Digits (train) | Training Loss0.1129 | 4 | |
| Classification Model Monitoring | Digits | RE vs Random2.2 | 4 | |
| Classification | Digits UCI (test) | Error Rate0.078 | 3 |
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