To learn a cell architecture on a task, we provide the performance of the sampled cell structure on the validation set of the given task as reward to the controller.
similarly, we show that the cell structure learned from jointly training on the MsR-VTT and MsVD video captioning datasets performs better on the DiDeMo dataset than the individually-learned cell structures.