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DTSTART:20180311T070000
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DTSTART;TZID=America/Toronto:20180809T100000
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URL:https://uwaterloo.ca/computer-science/events/masters-thesis-presentatio
 n-artificial-intelligence-0
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 3102 Waterloo ON N2L 3G1 Canada
SUMMARY:Master’s Thesis Presentation • Artificial Intelligence —\nDis
 entangled Representation Learning for Stylistic Variation in Neural\nLangu
 age Models
CLASS:PUBLIC
DESCRIPTION:VINEET JOHN\, MASTER’S CANDIDATE\n_David R. Cheriton School o
 f Computer Science_\n\nThis thesis tackles the problem of disentangling th
 e latent style and\ncontent variables in a language modelling context. Thi
 s involves\nsplitting the latent representations of documents by learning 
 which\nfeatures of a document are discriminative of its style and content\
 ,\nand encoding these features separately using neural network models.
DTSTAMP:20260410T164818Z
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