[jeyoor]

At first glance, these results appear fairly impressive as far as deep learning transfer studies go.

However, standard caveats about the limits of those approaches should still apply: e.g. https://spectrum.ieee.org/cars-that-think/transportation/sen...

In other words, I don't think MultiModel will be immune to fairly straightforward adversarial image attacks (although you might need a different adversarial network to generate them).

Furthermore, the problems being addressed by MultiModel (image recognition, natural language processing, machine translation) are problems that already have fairly robust deep learning results.

I'd be more interested if MultiModel showed significantly better results on problem areas that are currently difficult for standard deep learning approaches.