Our model is empirically justified and deals with the dirtiness [16] of loosely related tasks. We show that it is a generalization of various multi-task learning algorithms such as hard parameter sharing [7] , low supervision<cite> [25]</cite> , and cross-stitch networks [21] , as well as transfer learning algorithms such as frustratingly easy domain adaptation [9] .