[axg11]

Deep learning is one of the most reproducible areas of science. That might seem like an insane statement until you spend time in a biology (wet) lab. Experiment protocols are often poorly documented and access to materials needed to reproduce experiments are highly uneven. There is even more cherry picking when it comes to biology, especially since biologists don't often have the statistical knowledge to know better.

I'm not writing this to defend deep learning. Reproducibility is an incentives problem across ALL of science. We value novelty and prestigious publications over everything. Nobody wants to fund "boring" research that reproduces existing results. To fix academic science, we need to reward reproducible research and fund groups such that they're capable of performing it.