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Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358

2020-03-18 · 28 min · episode 358 · 16 entities

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companys 7

  • mentioned TWIML company
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    Feed author/publisher: TWIML
  • mentioned Oregon State University. In company
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    professor at Oregon State University. In
  • mentioned Technology company
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    Feed category: Technology
  • works at Oregon State University. In company
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    professor at Oregon State University. In
  • works at Oregon State University. In company
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    professor at Oregon State University. In
  • discusses Technology company
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    Feed category: Technology
  • hosted by TWIML company
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    Feed author/publisher: TWIML

concepts 5

  • mentioned Science concept
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    Feed category: Science
  • mentioned Tech News concept
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    evidence rules-v4
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  • discusses Science concept
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    evidence rules-v4
    Feed category: Science
  • discusses News concept
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    Feed category: News
  • discusses Tech News concept
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    evidence rules-v4
    Feed category: Tech News

persons 3

  • mentioned ViLBERT w person
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    Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358
  • mentioned Sam Charrington person
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    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
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    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
Today we’re joined by Stefan Lee, an assistant professor at Oregon State University. In our conversation, we focus on his paper ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks. We discuss the development and training process for this model, the adaptation of the training process to incorporate additional visual information to BERT models, where this research leads from the perspective of integration between visual and language tasks.