AI RESEARCH
Towards Multi-Source Domain Generalization for Sleep Staging with Noisy Labels
arXiv CS.LG
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ArXi:2604.10009v1 Announce Type: new Automatic sleep staging is a multimodal learning problem involving heterogeneous physiological signals such as EEG and EOG, which often suffer from domain shifts across institutions, devices, and populations. In practice, these data are also affected by noisy annotations, yet label-noise-robust multi-source domain generalization remains underexplored.