INR classification on F-MNIST (test)
84.6AccuracyWS-KAN
Evaluation Results
| Method | Links | |
|---|---|---|
| WS-KAN2026.02 | 84.6 | |
| ScaleGMN-Btraining_seeds=32024.06 | 80.78 | |
| ScaleGMNtraining_seeds=32024.06 | 80.46 | |
| SetTrans2026.02 | 80.2 | |
| MLPWeight Alignment=true2026.02 | 73.6 | |
| DMC2026.02 | 73.1 | |
| NFNH_NPbaseline_source=re-trained, training_seeds=32024.06 | 68.94 | |
| NFNN_Pbaseline_source=re-trained, training_seeds=32024.06 | 68.19 | |
| NG-GNNbaseline_source=reported, training_seeds=32024.06 | 68 | |
| DWSbaseline_source=reported, training_seeds=32024.06 | 67.06 | |
| DS2026.02 | 65.9 | |
| MLPData Augmentation=true2026.02 | 63 | |
| Monomial-NFN Quasiparameters=≈ 3%2026.04 | 62.11 | |
| Monomial-NFN tunedparameters=≈ 3%2026.04 | 61.44 | |
| Monomial-NFN2026.04 | 61.15 | |
| NP2026.04 | 58.21 | |
| HNP2026.04 | 57.43 | |
| MLP2026.02 | 41.3 | |
| Inr2Vecbaseline_source=reported, training_seeds=32024.06 | 22.33 | |
| MLPbaseline_source=reported, training_seeds=32024.06 | 19.91 | |
| MLP2026.04 | 9.95 |