2 code implementations • 4 Jun 2021 • MasaHiko Saito, Tomoe Kishimoto, Yuya Kaneta, Taichi Itoh, Yoshiaki Umeda, Junichi Tanaka, Yutaro Iiyama, Ryu Sawada, Koji Terashi
The usefulness and value of Multi-step Machine Learning (ML), where a task is organized into connected sub-tasks with known intermediate inference goals, as opposed to a single large model learned end-to-end without intermediate sub-tasks, is presented.