DCNv3

Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Miscellaneous2 results

Click-Through Rate PredictiononMovieLens 1M
AUC· 2024-07-18
0.9074
best: 0.9712 (STEC)
FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction arXiv:2407.13349
Click-Through Rate PredictiononMovieLens 1M
Log Loss· 2024-07-18
0.3001
best: 0.2016 (STEC)
FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction arXiv:2407.13349