Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks. (arXiv:2201.02143v1 [cs.LG])

Classification of long sequential data is an important Machine Learning task
and appears in many application scenarios. Recurrent Neural Networks,
Transformers, and Convolutional Neural Networks are three major techniques for
learning from sequential data. Among these methods, Temporal Convolutional
Networks (TCNs) which are scalable to very long sequences have achieved
remarkable progress in time series regression. However, the performance of TCNs
for sequence classification is not satisfactory because they use a skewed
connection protocol and output classes at the last …

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