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

· 28 Minutes

PodcastThe TWIML AI Podcast

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

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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.

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This story was published by The TWIML AI Podcast and written by Sam Charrington. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on twimlai.com

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