Benchmarking Deep Learning for Time Series: Challenges and Directions
Xinyuan Huang, Geoffrey Fox, Sergey Serebryakov, Ankur Mohan, Paweł M. Morkisz, Debojyoti Dutta · 2019
Deep learning for time series is an emerging area with close ties to industry, yet under represented in performance benchmarks for machine learning systems. In this paper, we present a landscape of deep learning applications applied to time series, and discuss the challenges and directions towards building a robust performance benchmark of deep learning workloads for time series data.