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Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model
March 20, 2024, 4:41 a.m. | Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Chenyi Lei
cs.LG updates on arXiv.org arxiv.org
Abstract: Advancements in self-supervised pre-training (SSL) have significantly advanced the field of learning transferable time series representations, which can be very useful in enhancing the downstream task. Despite being effective, most existing works struggle to achieve cross-domain SSL pre-training, missing valuable opportunities to integrate patterns and features from different domains. The main challenge lies in the significant differences in the characteristics of time-series data across different domains, such as variations in the number of channels and …
abstract advanced arxiv classifier cs.lg domain language language model opportunities patterns pre-training series ssl struggle time series training type
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