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Tuesday, December 8 • 19:00 - 23:59
Unsupervised Learning by Program Synthesis

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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 examplesand that it can recover some English inflectional morphology.Taken together, these results give both a new approach to unsupervised learning of symbolic compositional structures,and a technique for applying program synthesis tools to noisy data.

Tuesday December 8, 2015 19:00 - 23:59
210 C #15

Attendees (5)