Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation

22 September 2022

Papers citing "Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation"

5 / 5 papers shown

Title
Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey Kamal Taha Paul D. Yoo Aya Taha 34 2 0 01 Feb 2024
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation Ziwei Fan Zhiwei Liu Hao Peng Philip S Yu 31 15 0 28 Jan 2023
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning Wenxuan Ma Xing Yan Kun Zhang UQCV 28 0 0 24 Dec 2022
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 191 497 0 08 Mar 2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback Jiawei Chen Can Wang Sheng Zhou Qihao Shi Jingbang Chen Yan Feng Chun-Yen Chen OffRL 48 56 0 04 Mar 2020