Showing 1–20 of 94 results
/ Date/ Name
Jun 11, 2021DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial LearningFeb 10, 2022FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard SamplingApr 1, 2022FairRank: Fairness-aware Single-tower Ranking Framework for News RecommendationFeb 28, 2022Quality-aware News RecommendationOct 4, 2020PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervisionApr 15, 2021Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News RecommendationApr 15, 2021MM-Rec: Multimodal News RecommendationJun 30, 2020FairRec: Fairness-aware News Recommendation with Decomposed Adversarial LearningApr 21, 2022FedCL: Federated Contrastive Learning for Privacy-Preserving RecommendationJan 12, 2021Neural News Recommendation with Negative FeedbackMay 27, 2021Rethinking InfoNCE: How Many Negative Samples Do You Need?Apr 15, 2021Empowering News Recommendation with Pre-trained Language ModelsApr 1, 2022Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational AutoencoderApr 1, 2022Unified and Effective Ensemble Knowledge DistillationAug 19, 2024Performance Law of Large Language ModelsJul 23, 2020FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior DataOct 8, 2020Improving Attention Mechanism with Query-Value InteractionFeb 28, 2022Are Big Recommendation Models Fair to Cold Users?Feb 10, 2022Game of Privacy: Towards Better Federated Platform Collaboration under Privacy RestrictionApr 1, 2022End-to-end Learnable Diversity-aware News Recommendation