Review for NeurIPS paper: A Combinatorial Perspective on Transfer Learning

Additional Feedback: My major concern is that the authors have only applied their method to variants of MNIST. While the experiments performed are indeed from the established Continual Learning benchmarks in prior work, they do not suffice to showcase the true complexity of the continual learning challenge. I would strongly recommend doing at least some RL experiments, for instance, as performed in Online EWC paper. Secondly, as mentioned above the descriptions of GGM, FMN and NCTL are quite terse to understand and need to be re-read a couple times to make sense of them. I'd recommend simplifying these descriptions for an easier flow and deferring the details to an appendix.