no code implementations • 25 Sep 2019 • Nguyen Anh Tuan, Hyewon Jeong, Eunho Yang, Sungju Hwang
To capture such dynamically changing asymmetric relationships between tasks and long-range temporal dependencies in time-series data, we propose a novel temporal asymmetric multi-task learning model, which learns to combine features from other tasks at diverse timesteps for the prediction of each task.