Decay Function

Decay functions model the rate at which a quantity diminishes over time or distance, a crucial concept across diverse scientific fields. Current research focuses on optimizing decay functions within machine learning algorithms, particularly for improving neural network training efficiency and stability through adaptive learning rate schedules and novel weighting methods. These advancements impact various applications, from enhancing language model training and reinforcement learning in complex simulations to improving the accuracy of physical phenomena modeling and anomaly detection in time-series data. The development of more robust and efficient decay functions is driving progress in numerous scientific domains.