Episode 14
Yannic Kilcher: Explaining Papers on Youtube, Why Peer Review is Broken, and the Future of the Field
Yannic Kilcher is PhD candidate at ETH Zurich researching deep learning, structured learning, and optimization for large and high-dimensional data. He produces videos on his enormously popular Youtube channel breaking down recent ML papers.
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Timestamps:
02:40 Yannic Kilcher
07:05 Research for his PhD thesis and plans for the future
12:05 How he produces videos for his enormously popular Youtube channel
21:50 Yannic's research process: choosing what to read and how he reads for understanding
27:30 Why ML conference peer review is broken and what a better solution looks like
45:20 On the field's obsession with state of the art
48:30 Is deep learning is the future of AI? Is attention all you need?
56:10 Is AI overhyped right now?
01:01:00 Community Questions
01:13:30 Yannic flips the script and asks me about what I do
01:25:30 Rapid fire questions
Links:
Yannic's amazing Youtube Channel
Yannic's Community Discord Channel
On the Measure of Intelligence: arXiv paper and Yannic's video series
How I Read a Paper: Facebook's DETR (Video Tutorial)
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained)