Review for NeurIPS paper: Continuous Meta-Learning without Tasks

Additional Feedback: It would help if you could do more to motivate when data of the type MOCA is designed for would occur. It feels a little like an algorithm in search of a problem. When the task switches to a new task, does it ever switch back to a previous task, i.e., the new task is the same as one of the previous tasks? This happens at test time, but can it happen during training? If it can, can the algorithm detect that it has returned to a previously seen task?