Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358
2020-03-18 · 28 min · episode 358 · 16 entities
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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
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Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358
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Feed author/publisher: Sam Charrington
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professor at Oregon State University. In
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professor at Oregon State University. In
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professor at Oregon State University. In
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professor at Oregon State University. In
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professor at Oregon State University. In
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Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358
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evidence rules-v4
Feed author/publisher: Sam Charrington
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Feed author/publisher: Sam Charrington
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appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358
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.