Multimodal Few-Shot Learning with Frozen Language Models | Paper Explained

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In this video I cover "Multimodal Few-Shot Learning with Frozen Language Models" from DeepMind. They introduce Frozen - which is able to handle both visual and textual inputs and shows good generalization capabilities to novel visual question answering datasets combined with fast binding mechanisms even though it was only trained on image captioning.

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✅ Paper: https://arxiv.org/abs/2106.13884
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⌚️ Timetable:

00:00 Intro
02:20 GPT-3 and emerging few-shot properties
04:20 Training procedure for Frozen
07:45 Inference
10:15 Strong generalization?
11:55 Prompting mechanisms and the hardest task
13:25 Quantitative results
19:50 Outro

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#frozen #deepmind #multimodal

Видео Multimodal Few-Shot Learning with Frozen Language Models | Paper Explained канала Aleksa Gordić - The AI Epiphany