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dc.contributor.authorLiao, Qianli
dc.contributor.authorPoggio, Tomaso
dc.date.accessioned2017-09-28T18:36:18Z
dc.date.available2017-09-28T18:36:18Z
dc.date.issued2017-09-28
dc.identifier.urihttp://hdl.handle.net/1721.1/111654
dc.description.abstractWe propose Human-like Learning, a new machine learning paradigm aiming at training generalist AI systems in a human-like manner with a focus on human-unique skills.en_US
dc.description.sponsorshipThis work was supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF-1231216.en_US
dc.language.isoen_USen_US
dc.titleHuman-like Learning: A Research Proposalen_US
dc.typeWorking Paperen_US
dc.contributor.departmentCenter for Brains, Minds, and Machines


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