How I read and annotate ML papers

Talk starts at 05:15

In this live talk, I will share my experience on how to read and annotate ML papers. I will talk about my effective paper reading strategies and how I efficiently distill notes while using different annotation strategies to memorize important concepts. These skills allow me to better stay informed on the latest research ideas in machine learning and NLP.

[elvissaravia]

Thank you for all the great questions and for those of you that joined. Apologies for hiccups at the beginning but it's something that happens when you go live. I am definitely looking to improve my setup for next time.

I will take some of the questions and use them as ideas for future live streams.

Correction: Not that it matters that much here since it was just a quick example, but at 47:00 I said linear complexity... what I actually meant was quadratic complexity.