2023
SimPer: Simple Self-Supervised Learning of Periodic Targets
ICLR 2023top-5%
From human physiology to environmental evolution, important processes in nature often exhibit meaningful and strong periodic or quasi-periodic changes. Due to their inherent label scarcity, learning useful representations for periodic tasks with limited or no supervision is of great benefit. Yet, ex…