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This tweet really downplays prior work. NTM, memory nets, Neural GPU, MANN, graph nets, and many, many other related methods also degrade gracefully. Your work looks like an important next step, but this rhetoric is unhelpful.
What you are doing is rhetoric and rude. We have mentioned all prior work in our paper. You don't want to engage in science.
I identify as a unicorn, so hopefully won't offend. "With current methods, accuracy degrades rapidly when complexity of test instances grows." Can you point to some work illustrating this?
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