Unsupervised learning by program synthesis

We introduce an unsupervised learning algorithmthat combines probabilistic modeling with solver-based techniques for program synthesis.We apply our techniques to both a visual learning domain and a language learning problem,showing that our algorithm can learn many visual concepts from only a few ex...

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Bibliographic Details
Main Authors: Ellis, Kevin M., Solar Lezama, Armando, Tenenbaum, Joshua B
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Neural Information Processing Systems Foundation 2018
Online Access:http://hdl.handle.net/1721.1/113870
https://orcid.org/0000-0003-4926-6275
https://orcid.org/0000-0001-7604-8252
https://orcid.org/0000-0002-1925-2035