Taiki Yamada

Scalable Perturbation Learning for Online Self-Supervised Echo State Networks

Taiki Yamada, Kantaro Fujiwara

Intelligent systems should not only solve tasks but also adapt under real-world constraints. Autonomous adaptation via self-supervised learning, sequential adaptation via online learning, and memory-efficient implementation via perturbation-based learning are important requiremen…Read more