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SUMMARY:Dilated DenseNets for Relational Reasoning - Agnieszka Slowik (Uni
 versity of Cambridge)
DTSTART:20190219T130000Z
DTEND:20190219T140000Z
UID:TALK121813@talks.cam.ac.uk
CONTACT:Agnieszka Slowik
DESCRIPTION:Despite their impressive performance in many tasks\, deep neur
 al networks often struggle at relational reasoning. This has recently been
  remedied with the introduction of a plug-in relational module that consid
 ers relations between pairs of objects. Unfortunately\, this is combinator
 ially expensive. We show that a DenseNet incorporating dilated convolution
 s excels at relational reasoning on the Sort-of-CLEVR dataset\, allowing u
 s to forgo this relational module and its associated expense. 
LOCATION:Venue to be confirmed
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