4 papers
Embracing Aleatoric Uncertainty in Medical Multimodal Learning with Missing Modalities
Linxiao Gong, Yang Liu, Lianlong Sun +3
Medical multimodal learning faces significant challenges with missing modalities prevalent in clinical practice. Existing approaches assume equal contribution of modality and rando…
Robust Multimodal Representation Learning in Healthcare
Xiaoguang Zhu, Linxiao Gong, Lianlong Sun +3
Medical multimodal representation learning aims to integrate heterogeneous data into unified patient representations to support clinical outcome prediction. However, real-world med…
Causal Debiasing Medical Multimodal Representation Learning with Missing Modalities
Xiaoguang Zhu, Lianlong Sun, Yang Liu +4
Medical multimodal representation learning aims to integrate heterogeneous clinical data into unified patient representations to support predictive modeling, which remains an essen…
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
Juncen Guo, Xiaoguang Zhu, Liangyu Teng +4
Class-incremental Learning (CIL) enables the model to incrementally absorb knowledge from new classes and build a generic classifier across all previously encountered classes. When…