Preprint Open access
Longer Records, Broader Invariance: The Hidden Scaling Problem in Longitudinal Contrastive Learning
Longitudinal data are valuable because people change. Yet the objectives used to learn from these data can inadvertently erase that change. In person-level contrastive learning, observations from the same person are treated as positives; as records grow, those positives can span increasingly distant---and increasingly …