3 papers
cs.LG2026
Cross-Head Attention Uplift Network with Inverse Propensity Score under Unobserved Confounding
Haoran Zhang, Chuanpu Li, Yuxin Fu +4
Uplift modeling, crucial for estimating individual treatment effects (ITE), faces dual challenges: flexibly leveraging inter-group similarity to enhance discriminative power and de…
cs.CV2025
PSScreen V2: Partially Supervised Multiple Retinal Disease Screening
Boyi Zheng, Yalin Zheng, Hrvoje BogunoviÄ +1
In this work, we propose PSScreen V2, a partially supervised self-training framework for multiple retinal disease screening. Unlike previous methods that rely on fully labelled or…
cs.CV2025
PSScreen: Partially Supervised Multiple Retinal Disease Screening
Boyi Zheng, Qing Liu
Leveraging multiple partially labeled datasets to train a model for multiple retinal disease screening reduces the reliance on fully annotated datasets, but remains challenging due…