Yuntao Du

CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection

2023 · Society for Industrial and Applied Mathematics eBooks

Out-of-distribution (OOD) detection is critical for ensuring the safe deployment of machine learning models in the open world. Due to the simplicity and intuitiveness of distance- based methods, i.e., samples are detected as OOD if …

Towards Explainable Collaborative Filtering with Taste Clusters Learning

2023

Collaborative Filtering (CF) is a widely used and effective technique for recommender systems. In recent decades, there have been significant advancements in latent embedding-based CF methods for improved accuracy, such as matrix factorization, neural collaborative …

Knowledge-refined Denoising Network for Robust Recommendation

2023

Knowledge graph (KG), which contains rich side information, becomes an essential part to boost the recommendation performance and improve its explainability. However, existing knowledge-aware recommendation methods directly perform information propagation on KG and user-item bipartite …