Curriculum generation using Autoencoder based continuous optimization
Abstract This paper presents a novel approach to curriculum learning that leverages autoencoder-based continuous optimization for generating effective training sequences. Curriculum learning, which structures the training process from easier to harder examples, has shown promise in improving model performance and convergence.
Jun 1, 2021