POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning

arXiv:2312.12276v2 Announce Type: replace
Abstract: Time series domain adaptation stands as a pivotal and intricate challenge with diverse applications, including but not limited to human activity recognition, sleep stage classification, and machine fault diagnosis. Despite the numerous domain adaptation techniques proposed to tackle this complex problem, they primarily focus on domain adaptation from a single source domain. Yet, it is more crucial to investigate domain adaptation from multiple domains due to the potential for greater improvements. To address this, three …

abstract applications arxiv challenge classification cs.lg diagnosis diverse diverse applications domain domain adaptation focus human information machine pivotal prompt prompt tuning recognition series sleep stage time series type