Reviews: Incremental Few-Shot Learning with Attention Attractor Networks

In terms of originality I believe the proposed method to be sufficiently novel and at no point felt this was merely an incremental improvement. In terms of significance it should be said that I feel this idea to be fairly specific to the incremental classification setting and wouldn't be general enough to be directly applicable in another domain (e.g. However, I still believe this work should be accepted and would expect recognition within the domain. With regards to the clarity of the submission, I believe sections 3.1 and 3.2 could be improved. Detailed comments below: Introduction: L36: "We optimize a regularizer that reduces catastrophic forgetting" - Perhaps it would be a good idea to delineate this from many of the other works on regularization-based methods to reduce catastrophic forgetting where the regularizer isn't learnt?