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DTSTART:20200308T070000
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DTSTART:20191103T060000
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DTSTART;TZID=America/Toronto:20200805T100000
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/masters-thesi
 s-presentation-dynamic-fusion-techniques
LOCATION:Online 200 University Avenue West Waterloo ON N2L 3G1 Canada
SUMMARY:Master’s Thesis Presentation: Dynamic Fusion Techniques for\nEffe
 ctive Multimodal Deep Learning
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS MASTER’S THESIS PRESENTATION WILL BE GIVEN 
 ONLINE.\n\nGAURAV SAHU\, MASTER’S CANDIDATE\n_David R. Cheriton School 
 of Computer Science_\n\nEffective fusion of data from multiple modalities\
 , such as video\,\nspeech\, and text\, is a challenging task due to the he
 terogeneous\nnature of multimodal data. In this work\, we propose fusion t
 echniques\nthat aim to model context from different modalities effectively
 .\nInstead of defining a deterministic fusion operation\, such as\nconcate
 nation\, for the network\, we let the network decide how to\ncombine given
  multimodal features more effectively.
DTSTAMP:20260311T042739Z
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