Multi-Task Learning with Robust Regularized Clustering for Outlier Task Detection

The core message of this article is to propose a novel multi-task learning method called Multi-Task Learning via Robust Regularized Clustering (MTLRRC) that can simultaneously perform robust task clustering and outlier task detection.