New Methods for Self-Supervised Image Representation Learning KU Leuven
Representation learning plays a key role in most machine learning algorithms. When solving a particular task, the input is usually mapped to an intermediary latent space before being mapped to the final output space. We refer to the representation of an input as the set of feature values to which the input is mapped in the latent space. A good representation captures the essential information present in the data in a readily accessible ...