NLP vs. Computer Vision
Georgia discusses the success of transformers in NLP, attributing it to the abundance of data and diverse tasks that benefit from self-supervised learning. In contrast, she highlights the challenges faced in computer vision, particularly the limitations of static datasets like Imagenet, which may lead to overfitting and hinder the transfer of gains to new ideas.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Trends in Computer Vision with Georgia Gkioxari - #549
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