Theodoros Thirimachos Davarakis

H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition

We introduce H-SPLID, a novel algorithm for learning salient feature representations through the explicit decomposition of salient and non-salient features into separate spaces. We show that H-SPLID promotes learning low-dimensional, task-relevant features. We prove that the expected prediction devi…