Rank Supervised Contrastive Learning for Time Series Classification
Rank Supervised Contrastive Learning for Time Series Classification
Recently, various contrastive learning techniques have been developed to categorize time series data and exhibit promising performance. A general paradigm is to utilize appropriate augmentations and construct feasible positive samples such that the encoder can yield robust and discriminative representations by mapping similar data points closer together in the feature …