2 papers
cs.IR2026
Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection
Zhikai Wang, Yanyan Shen, Zexi Zhang +4
Contrastive Learning (CL) enhances the training of sequential recommendation (SR) models through informative self-supervision signals. Existing methods often rely on data augmentat…
cs.LG2025
FedSAF: A Federated Learning Framework for Enhanced Gastric Cancer Detection and Privacy Preservation
Yuxin Miao, Xinyuan Yang, Hongda Fan +6
Gastric cancer is one of the most commonly diagnosed cancers and has a high mortality rate. Due to limited medical resources, developing machine learning models for gastric cancer…