Podknife - Yannic Kilcher: Explaining Papers on Youtube, Why Peer Review is Broken, and the Future of the Field by Machine Learning Engineered

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Yannic Kilcher: Explaining Papers on Youtube, Why Peer Review is Broken, and the Future of the Field

Podcast |: Machine Learning Engineered
Publisher |: Charlie You
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Careers,; Data Science,; Interview,; Machine Learning,; Technology
Categories Via RSS |: Business,; Careers,; Science,; Technology
Publication Date |: Nov 24, 2020
Episode Duration |: 01:32:22

Description
iTunes Summary

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

Listen to the ML Street Talk podcast: https://podcasts.apple.com/us/podcast/machine-learning-street-talk/id1510472996

Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://bitly.com/mle-newsletter

Follow Charlie on Twitter: https://twitter.com/CharlieYouAI

Subscribe to ML Engineered: https://mlengineered.com/listen

Comments? Questions? Submit them here: http://bit.ly/mle-survey

Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/

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

Yannic talks about starting his popular paper-explainer Youtube channel, how he reads for understanding, why the peer review process is broken, and where he thinks the AI field is going.