Abstract: With its robust capabilities for non-linear regression and classification, kernel-based learning has emerged as a fundamental component of state-of-the-art machine learning approaches. In ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Abstract: Contrastive learning (CL) has recently sparked a productive line of research in the field of recommendation, due to its ability to extract self-supervised signals from raw data that align ...