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by csl 3258 days ago
How can the results be old when the paper is from 2017?
1 comments

They are comparing their genetic programming results with a deep learning paper published in 2015. [1]

[1] https://www.nature.com/nature/journal/v518/n7540/abs/nature1...

What a time to live in, when papers from 2015 are "really old" in 2017.
1 deep learning year is about 49 dog years.
It highly depends on the field you're in though.
What is "exponential growth"!
It's more logarithmic, isn't it? Right now we're at the beginning stage, where there's massive discoveries and changes happening, but in say, 50 years time, there won't be much changing year-to-year.
Logarithmic or logistic?