Unsupervised learning by program synthesis

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. (Contributor), Solar Lezama, Armando (Contributor), Tenenbaum, Joshua B (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Neural Information Processing Systems Foundation, 2018-02-22T19:06:30Z.
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