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Machine Learning Engineered - Charlie You EPISODE 14, 24th November 2020
Yannic Kilcher: Explaining Papers on Youtube, Why Peer Review is Broken, and the Future of the Field
00:00:00 01:32:21

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.

Follow Yannic on Twitter: https://twitter.com/ykilcher

Check out Yannic's excellent Youtube channel: https://www.youtube.com/channel/UCZHmQk67mSJgfCCTn7xBfew

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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 Google Scholar

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)

Zero to One

The Gulag Archipelago