Click Prediction on KuaiVideos (test)
0.8861AUCLattice Network
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Lattice NetworkTuning=Lattice Sketch, MFLOPs=1.575, MParams=39.172025.12 | 0.8861 | — | — | 0.0151 | |
| WukongMFLOPs=22.62, MParams=42.592025.12 | 0.8842 | — | — | 0.0155 | |
| DCNv2MFLOPs=9.159, MParams=40.442025.12 | 0.8804 | — | — | 0.0152 | |
| Lattice NetworkTuning=Expert Tuned, MFLOPs=25.54, MParams=43.082025.12 | 0.8793 | — | — | 0.0154 | |
| AutoInt+MFLOPs=79.27, MParams=41.752025.12 | 0.8725 | — | — | 0.0156 | |
| BSTMFLOPs=326.1, MParams=40.632025.12 | 0.8707 | — | — | 0.0153 | |
| xDeepFMMFLOPs=6.81, MParams=51.62025.12 | 0.8706 | — | — | 0.0156 | |
| FinalMLPMFLOPs=12.22, MParams=571.42025.12 | 0.8624 | — | — | 0.0163 | |
| MaskNetMFLOPs=4.299, MParams=39.632025.12 | 0.8599 | — | — | 0.0156 | |
| APG (DeepFM)MFLOPs=11.74, MParams=52.42025.12 | 0.8515 | — | — | 0.0166 | |
| AFN+MFLOPs=10.96, MParams=79.62025.12 | 0.8466 | — | — | 0.0157 | |
| DLRMMFLOPs=1.996, MParams=39.242025.12 | 0.7734 | — | — | 0.0175 | |
| Lattice NetworkTuning=Expert Tuned, MFLOPs=25.54, MParams=43.082025.12 | 0.7281 | — | — | 0.4513 | |
| WukongMFLOPs=22.62, MParams=42.592025.12 | 0.7251 | — | — | 0.458 | |
| Lattice NetworkTuning=Lattice Sketch, MFLOPs=1.575, MParams=39.172025.12 | 0.7249 | — | — | 0.4529 | |
| DCNv2MFLOPs=9.159, MParams=40.442025.12 | 0.7225 | — | — | 0.4534 | |
| BSTMFLOPs=326.1, MParams=40.632025.12 | 0.7217 | — | — | 0.4512 | |
| xDeepFMMFLOPs=6.81, MParams=51.62025.12 | 0.7189 | — | — | 0.4642 | |
| AutoInt+MFLOPs=79.27, MParams=41.752025.12 | 0.7181 | — | — | 0.4607 | |
| FinalMLPMFLOPs=12.22, MParams=571.42025.12 | 0.7176 | — | — | 0.469 | |
| AFN+MFLOPs=10.96, MParams=79.62025.12 | 0.7172 | — | — | 0.4572 | |
| MaskNetMFLOPs=4.299, MParams=39.632025.12 | 0.7133 | — | — | 0.465 | |
| DLRMMFLOPs=1.996, MParams=39.242025.12 | 0.7088 | — | — | 0.4874 | |
| APG (DeepFM)MFLOPs=11.74, MParams=52.42025.12 | 0.7066 | — | — | 0.4915 | |
| PLE+EKTMBackbone=PLE, Enhanced by=EKTM2026.05 | 0.7057 | — | — | 0.4554 | |
| MMOE+EKTMBackbone=MMOE, Enhanced by=EKTM2026.05 | 0.7054 | — | — | 0.4539 | |
| STEM+EKTMBackbone=STEM, Enhanced by=EKTM2026.05 | 0.7054 | — | — | 0.4534 | |
| MMOECategory=MTL Backbones2026.05 | 0.7051 | — | — | 0.457 | |
| Shared-Bottom+EKTMBackbone=Shared-Bottom, Enhanced by=EKTM2026.05 | 0.7049 | — | — | 0.4521 | |
| STEMCategory=MTL Backbones2026.05 | 0.7046 | — | — | 0.4584 | |
| Single task LearningLearning Paradigm=Single Task Learning2026.05 | 0.7045 | — | — | 0.4611 | |
| ESMMCategory=Transfer Models2026.05 | 0.7042 | — | — | 0.4604 | |
| PLECategory=MTL Backbones2026.05 | 0.7041 | — | — | 0.4587 | |
| Shared-BottomCategory=MTL Backbones2026.05 | 0.7039 | — | — | 0.4588 | |
| AITMCategory=Transfer Models2026.05 | 0.7035 | — | — | 0.4622 | |
| SDIMenhancement=GAP-Net2026.01 | 0.6792 | 0.7078 | 0.3834 | — | |
| ETAenhancement=GAP-Net2026.01 | 0.6763 | 0.7062 | 0.3818 | — | |
| DINenhancement=GAP-Net2026.01 | 0.6759 | 0.7057 | 0.3809 | — | |
| SDIMenhancement=None2026.01 | 0.6738 | 0.7026 | 0.3792 | — | |
| ETAenhancement=None2026.01 | 0.673 | 0.7021 | 0.3785 | — | |
| DINenhancement=None2026.01 | 0.6721 | 0.6999 | 0.3767 | — |