归档
- 10 / 06 Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction
- 01 / 06 SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning
- 25 / 05 Hinet: Novel multi-scenario & multi-task learning with hierarchical information extraction
- 25 / 05 PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information
- 23 / 05 AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations
- 22 / 05 Improving Training Stability for Multitask Ranking Models in Recommender Systems
- 20 / 05 Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations
- 04 / 05 AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction
- 02 / 05 APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction
- 01 / 05 One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction
- 05 / 02 Attention is All you Need
- 03 / 02 PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification