Focusing on What is Relevant: Time-Series Learning and Understanding using Attention

Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar +4

This paper is a contribution towards interpretability of the deep learning models in different applications of time-series. We propose a temporal attention layer that is capable of…