How to Read and Summarize Research Papers | Machine Learning & Deep Learning

Описание: Scientific papers can be quite intimidating and hard to read, especially if you are new to a field with lots of theory like Machine Learning or Deep Learning.

In this video I show you a quick way and a more detailed way to work through a computer science research paper. In the end you will be able to write a summary on the topic and accurately describe what the paper is about.

I made this video because when I was starting out last year, I really struggled with finding my way through these papers and I wanted to give other new graduate students or generally interested people a few tips that would have helped me.


I hope this helps :))



TIMESTAMPS
00:00 Why papers are so hard
1:11 Disclaimer
1:44 Title and Authors
2:19 Abstract
3:33 Introduction
4:21 If you understand NOTHING
5:02 Related Work
5:25 Conclusion
6:22 Looking at Details
7:59 Reflecting
8:58 What is main goal?
9:44 Creating a summary

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Links:



Paper I mentioned and showed excerpts from in this video: Asymmetric Valleys: Beyond Sharp and Flat Local Minima by He et al 2019, found here: [https://arxiv.org/pdf/1902.00744.pdf](https://arxiv.org/pdf/1902.00744.pdf)



Also check out Yannic Kilcher's video about this topic, he did a whole PhD in the area of Machine Learning, so he has read many more papers than me :D    • How I Read a Paper: Facebook's DETR (Video...  


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You can also find me on Instagram, where I post almost daily:
  / galaxyinferno.codes  


And on my blog:
https://galaxyinferno.com/