4 citations · 7 across the 4 of their papers we have counts for
4 papers
Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy
Yihan Mei, Xinyu Wang, Dell Zhang +1
In today's interconnected world, achieving reliable out-of-distribution (OOD) detection poses a significant challenge for machine learning models. While numerous studies have intro…
Forgetting Fast in Recommender Systems
Wenyan Liu, Juncheng Wan, Xiaoling Wang +3
Users of a recommender system may want part of their data being deleted, not only from the data repository but also from the underlying machine learning model, for privacy or utili…
Micro-Behavior Encoding for Session-based Recommendation
Jiahao Yuan, Wendi Ji, Dell Zhang +2
Session-based Recommendation (SR) aims to predict the next item for recommendation based on previously recorded sessions of user interaction. The majority of existing approaches to…
Recommendation Fairness: From Static to Dynamic
Dell Zhang, Jun Wang
Driven by the need to capture users' evolving interests and optimize their long-term experiences, more and more recommender systems have started to model recommendation as a Markov…