Review for NeurIPS paper: Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

Weaknesses: * The dataset choice seems arbitrary. Since authors are defining a new setting, they should elaborate why specifically FEMNIST and FCelebA are used to create similar and dissimilar pairs. NeurIPS'19 also propose a similar masking based approach to learn non-overlapping paths for dissimilar tasks. These papers should be cited and disucssed (preferably compared against) in this manuscript. E.g., the prior works on task incremental learning have both sets of similar and dissimilar tasks.