Pay Prediction on industrial dataset
81.94AUCSSR-D
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SSR-D#Params=100M, FLOPs/1=3.3G2026.04 | 81.94 | 68.62 | |
| SSR-S#Params=57M, FLOPs/1=1.4G2026.04 | 81.62 | 68.41 | |
| RankMixer#Params=101M, FLOPs/1=3.2G2026.04 | 81.22 | 68.15 | |
| Wukong#Params=93M, FLOPs/1=2.9G2026.04 | 81.15 | 68.05 | |
| AutoFIS#Params=10.8M, FLOPs/1=0.5G2026.04 | 80.85 | 67.77 | |
| Dense MLP#Params=60M, FLOPs/1=3.4G2026.04 | 80.83 | 67.7 | |
| AutoInt#Params=26.2M, FLOPs/1=1.7G2026.04 | 80.78 | 67.69 | |
| DCN v2#Params=15M, FLOPs/1=0.9G2026.04 | 80.65 | 67.42 | |
| MMoE#Params=21M, FLOPs/1=1.2G2026.04 | 80.63 | 67.57 | |
| DeepFM#Params=13M, FLOPs/1=0.6G2026.04 | 80.53 | 67.3 |