Really nice talk today at #ICML2018 highlighting, amongst other things, the important historical contributions from cognitive science and psychology to machine learning and AI by Josh Tenenbaum.pic.twitter.com/PngcLb5eGK
• goth gremlin • computational cognitive/neuroscience modeling • geek & techish Cypriot • plant aficionada • came up with #bropenscience • http://neuroplausible.com •
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Really nice talk today at #ICML2018 highlighting, amongst other things, the important historical contributions from cognitive science and psychology to machine learning and AI by Josh Tenenbaum.pic.twitter.com/PngcLb5eGK
A bit sad that all this cool work in cogsci pretty much died out.
Not sure it did... Tenenbaum himself has been carrying that torch pretty well
Maybe. But I don't get the impression that more recent cogsci work including Tenenbaum's is quite as influential within ML as that of Rosenblatt, Hinton and Elman.
My optimistic take: there's a technological time lag between when the models are proposed to model cogsci experiments and when they can be implemented at scale. Maybe when we have bigger computers and fancier inference algorithms everyone will use hierarchical Bayesian models.
Pretty sure Hinton wasn't "believed" and was very alone before Deep Networks took off.
Neural networks took off and were abandoned a couple times before the current hype cycle, no?
Yes, that goes to show there is a lag (of sorts) like @tallinzen is saying.
You could analyse his cites now too I guess. How many come from what fields?
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