Applications of Diversity and the Self-Attention Mechanism in Neural Networks
This thesis covers three contributions in applications of neural networks. The first is related to diversity and ensemble learning, while the other two cover novel applications of the self-attention mechanism. An important aspect of training a neural network is the choice of objective function. Regression via Classification (RvC) is often used to tackle problems in deep learning where the target v
