VCR: Learning Valid Contextual Representation for Incomplete Wearable Signals

In three linesVCR is a self-supervised framework learning robust representations from incomplete wearable sensor signals. It uses an orthogonal tokenizer to disentangle shared semantics from modality-specific residuals, combined with a missing-aware mixture-of-experts backbone. VCR improves performance on health monitoring tasks under single and multiple missing modalities.

Summary generated by Claude — human-verified