CDNet generates contrastive training pairs via CNN-based diffusion transitions between time series samples and claims consistent accuracy gains for deep classifiers on binary UCR datasets.
Scalable dictionary classifiers for time series classification
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A Contrastive Diffusion-based Network (CDNet) for Time Series Classification
CDNet generates contrastive training pairs via CNN-based diffusion transitions between time series samples and claims consistent accuracy gains for deep classifiers on binary UCR datasets.