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
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Chapters (8)
Intro
2:20
GPT-3 and emerging few-shot properties
4:20
Training procedure for Frozen
7:45
Inference
10:15
Strong generalization?
11:55
Prompting mechanisms and the hardest task
13:25
Quantitative results
19:50
Outro
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