• Corpus ID: 235293778

Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

  title={Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding},
  author={Sana Tonekaboni and Danny Eytan and Anna Goldenberg},
Time series are often complex and rich in information but sparsely labeled and therefore challenging to model. In this paper, we propose a self-supervised framework for learning generalizable representations for non-stationary time series. Our approach, called Temporal Neighborhood Coding (TNC), takes advantage of the local smoothness of a signal’s generative process to define neighborhoods in time with stationary properties. Using a debiased contrastive objective, our framework learns time… 

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