Reviews: Superposition of many models into one

I appreciate that the authors re-implemented the CIFAR benchmark I had requested. However, I'm still unconvinced of the significance or the originality of the proposed approach. For me, two fundamental issues remain: 1) The proposed approach is conceptually very similar to the masking proposed in Masse et al. (2018) that I mentioned in my review. The only difference is essentially masking with a {1,-1} vector vs. masking with a {0,1} vector. For sufficiently sparse masks (as used in Masse et al.), the latter approach will also produce largely non-overlapping feature subsets for different tasks, so I don't see this as a huge difference.