Reference
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Partial Multi-Label Learning | reference | Average Precision69.3 | 36 | |
| Partial Multi-Label Learning | reference | One-error34.3 | 36 | |
| Partial Multi-Label Learning | reference | Hamming Loss0.025 | 36 | |
| Cooperative Multi-Agent Reinforcement Learning | Reference (last 2% of train) | Mean Episodic Reward-25.39 | 13 | |
| Partial Multi-Label Learning | reference (11) | Coverage20.5 | 9 | |
| Partial Multi-Label Learning | reference avg.#CLs 9 | Coverage19 | 9 | |
| Partial Multi-Label Learning | reference avg.#CLs 7 | Coverage17.7 | 9 | |
| Partial Multi-Label Learning | reference avg.#CLs 5 | Coverage15.6 | 9 | |
| Partial Multi-Label Learning | reference | Ranking Loss0.094 | 6 | |
| Speech Compression | Reference dataset (test) | Total Bitrate (bps)650 | 1 |
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