5-way Few-Shot Text Classification on Reuters (test)
96.7AccuracyMLADA
Evaluation results
| Method | Links | |
|---|---|---|
| MLADAN-shot=5-shot2023.06 | 96.7 | |
| TARTN-shot=5-shot2023.06 | 96.7 | |
| TART w/o DRRN-shot=5-shot2023.06 | 96.2 | |
| DS-FSLN-shot=5-shot2023.06 | 96 | |
| TARTN-shot=1-shot2023.06 | 92.2 | |
| TART w/o DRRN-shot=1-shot2023.06 | 90.4 | |
| LEAN-shot=5-shot2023.06 | 89 | |
| MLADAN-shot=1-shot2023.06 | 82.3 | |
| DS-FSLN-shot=1-shot2023.06 | 81.8 | |
| LEAN-shot=1-shot2023.06 | 69 | |
| InductN-shot=5-shot2023.06 | 67.9 | |
| PROTON-shot=5-shot2023.06 | 66.9 | |
| MAMLN-shot=5-shot2023.06 | 62.9 | |
| PROTON-shot=1-shot2023.06 | 59.6 | |
| InductN-shot=1-shot2023.06 | 59.4 | |
| HATTN-shot=5-shot2023.06 | 56.2 | |
| MAMLN-shot=1-shot2023.06 | 54.6 | |
| LEO*N-shot=5-shot2023.06 | 54.1 | |
| HATTN-shot=1-shot2023.06 | 43.2 | |
| LEO*N-shot=1-shot2023.06 | 35.4 |