OptEmbed
Reported on 6 benchmarks across 1 task · 1 paper · 2 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Miscellaneous6 results
- AUC· 2022-08-09SOTA0.8028best: 0.8098 (FCN)
- Log Loss· 2022-08-09SOTA0.1521best: 0.1494 (FCN)
- AUC· 2022-08-090.7902best: 0.8062 (OptInter)
- LogLoss· 2022-08-090.374best: 0.3637 (OptInter)
- AUC· 2022-08-090.8114best: 0.8163 (QNN-α)
- Log Loss· 2022-08-090.44best: 0.4358 (QNN-α)