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Would you prefer 11111+11111+33333 instead?

I've done whiteboard only interviews, as well as shared doc/coderpad only, and I find both limiting. When thinking about the problem, it's great to have a whiteboard to sketch examples etc, but writing code is much easier with a text editor.

Recently I interviewed at Google, and they had no problem fulfilling my request to do both: sketch the solution approach on whiteboard and then write the code with a laptop.

and whether you are willing to work 106 (40+56) hours a week...

I find it strange you mention transfer learning, since one of the reasons neural networks are so popular are because they tend to excel at it. Adapting (i.e. fine-tuning) networks trained on a task with a lot of data (e.g. image classification on ImageNet) to different tasks, such as image segmentation, has proven a very successful approach.

Could't they open source the design/implementation without a permissive licence? I.e. everyone could audit, but nobody could use it commercially.

In your example, this would correspond to having the number x = 0 +-1 and then wanting to compute 1/x. If your number can potentially be zero, why would you want to use it as a divisor?

Hi, I'm one of the authors. That is correct in a strict sense, but we wanted to focus on the more 'creative' part of logos rather than the text. GANs are known to struggle with high resolutions, but we note that we show higher resolution logos later in the paper (see page 12 and 15 e.g) which is trained on the smaller but higher-resolution version of our dataset.