2025
DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series
NeurIPS 2025poster
Medical time-series data play a vital role in disease diagnosis but suffer from limited labeled samples and single-center bias, which hinder model generalization and lead to overfitting. To address these challenges, we propose DAAC (Discrepancy-Aware Adaptive Contrastive learning), a learnable multi…