10-15 yrs ago, appears ~everybody talking cortical implementation of belief prop, ~nobody talking cortical implementation of back prop: https://scholar.google.com/scholar?q=related:CP4ffwsbGlcJ:scholar.google.com/&scioq=Cortical+circuitry+implementing+graphical+models&hl=en&as_sdt=0,5 … (not saying this is bad -- both very inspirational algorithms -- just interesting)
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Graphical models got cool because Microsoft Research decided to specialize in them. Deep learning got a boost from Jeff Dean creating Google Brain in 2011. Lots of these shifts in zeitgeist have to do with the funding decisions of a few big tech companies.
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You could alternatively say "when someone pushes them hard enough to show that [some of them] can scale to real problems" -- which makes it seem at least somewhat more reasonable, less contingent/sociological
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