Extreme Multi-label Classification on Amazon-670K large scale XMC (test)
36.16PSP@1XR-Transformer*
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| XR-Transformer*vectorized feature matrix=from [8]2021.10 | 36.16 | 38.39 | 40.99 | |
| DENSEModel Type=Dense2024.11 | 33.3 | 36.9 | 39.9 | |
| AttentionXML*vectorized feature matrix=from [8]2021.10 | 30.25 | 33.88 | 37.18 | |
| CASCADEXML2024.11 | 30.2 | 34.9 | 38.8 | |
| SPARTEXModel Type=Sparse2024.11 | 29.9 | 33.3 | 36.4 | |
| ATTENTIONXML2024.11 | 29.3 | 32.4 | 35.1 | |
| DENSE BNArchitecture=Dense Bottleneck, Model Type=Dense2024.11 | 26.9 | 30.9 | 34.5 | |
| Parabel2021.10 | 26.36 | 29.95 | 33.17 | |
| PfastreXML2021.10 | 20.3 | 30.8 | 32.43 |