Self-Supervised Contrastive Pre-Training for Time Series via Time-Frequency Consistency

Neural Information Processing Systems 

To address this challenge, methods need to accommodate target domains with different temporal dynamics and be capable of doing so without seeing any target examples during pre-training. Relative to other modalities, in time series, we expect that time-based and frequency-based representations of the same example are located close together in the time-frequency space.

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