Jakob Bardram

Contrastive Learning Is Not Optimal for Quasiperiodic Time Series

Despite recent advancements in Self-Supervised Learning (SSL) for Time Series analysis, a noticeable gap persists between the anticipated achievements and actual performance. While these methods have demonstrated formidable generalization capabilities with minimal labels in various domains, their ef…