With the new quick advancements of machine learning and AI in general, we are witness to an increasing challenge of keeping up with the pace as the field processes at a faster rate than we may be able to keep up with.
Add to this the fact that a new paper is usually built on top of other previously published work and they may not give you the details about it which you then also need to go and read for that particular paper.
This chain of papers that you need to look up to and understand before you understand a paper that you are just about to read is getting longer.
Luckily, there are people who can at least help you with that.
Do you remember YouTube?
Yeah, that big platform with more videos that you can watch in your lifetime.
Well, it turns out, it isn’t just another platform where you can just watch funny videos that are supposed to entertain you. There are also many helpful channels that can even help you understand papers.
You may have heard about some of these channels before and maybe you even also are aware of other channels that are doing a great job helping us better understand papers.
They are very generous with their time and prepare YouTube videos for many papers.
As you can probably tell, they are of course free YouTube videos that you can watch and get a better understanding of many papers.
Some of the videos are short overall overviews, whereas others are deep dive into them.
You may have a glimpse over some of the short ones and in case you are interested, you can of course simply go to the longer ones.
Without further ado, here is the list.
Yannic Kilcher
Yannic Kilcher recently finished his Ph.D. at ETH Zurich. He is a researcher himself, so he is quite immersed in the research world already.
He has very informative videos that go into great detail with many papers particularly related to deep learning, natural language processing, and reinforcement learning.
He is also usually very quick with the videos that he prepares, which makes it easier for others to go and understand the popular papers that have been grabbing a lot of attention on Twitter or in the research community in general.
He is also very engaging and fun to watch.
You can see a video of him explaining in great detail the paper about GPT-3.
He sometimes even discusses some memes related to machine learning:
Aladdin Persson
Aladdin is a math student but has already uploaded many hands-on tutorials such as videos about Pytorch, Tensorflow, and also implementation of the papers.
Moreover, it includes in-depth explanations of papers that walk you through all the nitty-gritty details of a few papers.
Moreover, it includes in-depth explanations of papers that walk you through all the nitty-gritty details of a few papers.
At the time of this writing, it is generally including videos reviewing some relatively old papers.
However, that can still be quite helpful for many people, especially the ones who are just getting started, or that didn’t understand those papers on their own.
The channel is relatively new, but it is being updated constantly and it can be quite reassuring that you may see new videos on a regular basis.
Moreover, it includes in-depth explanations of papers that walk you through all the nitty-gritty details of a few papers.
At the time of this writing, it is generally including videos reviewing some relatively old papers.
However, that can still be quite helpful for many people, especially the ones who are just getting started, or that didn’t understand those papers on their own.
The channel is relatively new, but it is being updated constantly and it can be quite reassuring that you may see new videos on a regular basis.
Moreover, it includes in-depth explanations of papers that walk you through all the nitty-gritty details of a few papers.
At the time of this writing, it is generally including videos reviewing some relatively old papers.
However, that can still be quite helpful for many people, especially the ones who are just getting started, or that didn’t understand those papers on their own.
The channel is relatively new, but it is being updated constantly and it can be quite reassuring that you may see new videos on a regular basis.
2-minute paper
This is one of the most popular channels that has grown tremendously, attracting almost a million subscribers at the time of this writing.
Although in most cases nowadays it doesn’t have its videos 2 minutes long as it is expected from a channel with that name, the explanations by Károly Zsolnai-Fehé are quick and to the main points of the papers mentioned.
He publishes frequently and usually gives you a brief overview of what a particular paper is all about, giving you links and references to the papers covered.
Moreover, his video titles are usually quite attractive and can spark an interest in even non-technical people who may want to get a glimpse of what’s going on in machine learning and AI in general, like the following:
In many of his videos, he also expresses his amazement with the advancement of the field via the following:
“What a time to be alive!”
Károly Zsolnai-Fehér
Henry AI Labs
Aside from a lot of videos covering the latest news in the research field, this channel also publishes videos that are related to research.
Here is a video summary of the impressive DALL-E paper published by OpenAI.
You can find a full playlist with many videos here with short summaries of many deep learning papers on topics such as Computer Vision, Natural Language Processing, Graph Embeddings, Generative Adversarial Networks, Reinforcement Learning, etc.
You can see his videos organized in the following README file on GitHub.
Machine Learning Dojo with Tim Scarfe
This channel is run by Dr. Tim Scarfe in collaboration with others, in which you can find not only paper reviews but also discussions related to projects, interviews, and deep dives into machine learning topics.
You can see his excitement in this short intro video:
They also have a Discord group in case you want to further discuss your research ideas and potential collaborations there.
Moreover, Dr. Tim holds a podcast called Machine Learning Street Talk with Yannic Kilcher and Connor Shorten.
Bits of Deep Learning
This channel includes videos explaining mostly deep learning papers related to computer vision, natural language processing, and more.
This channel is not that much known and at the time of this writing, it doesn’t have a lot of videos that you can watch either.
Here’s a quick review of a paper that you can watch and have a better understanding of the way they explain things:
8 Great YouTube Channels That Help You Understand AI and Machine Learning Papers
These can help you if you are having a hard time understanding Machine Learning papers
With the new quick advancements of machine learning and AI in general, we are witness to an increasing challenge of keeping up with the pace as the field processes at a faster rate than we may be able to keep up with.
Add to this the fact that a new paper is usually built on top of other previously published work and they may not give you the details about it which you then also need to go and read for that particular paper.
This chain of papers that you need to look up to and understand before you understand a paper that you are just about to read is getting longer.
Luckily, there are people who can at least help you with that.
Do you remember YouTube?
Yeah, that big platform with more videos that you can watch in your lifetime.
Well, it turns out, it isn’t just another platform where you can just watch funny videos that are supposed to entertain you. There are also many helpful channels that can even help you understand papers.
You may have heard about some of these channels before and maybe you even also are aware of other channels that are doing a great job helping us better understand papers.
They are very generous with their time and prepare YouTube videos for many papers.
As you can probably tell, they are of course free YouTube videos that you can watch and get a better understanding of many papers.
Some of the videos are short overall overviews, whereas others are deep dive into them.
You may have a glimpse over some of the short ones and in case you are interested, you can of course simply go to the longer ones.
Without further ado, here is the list.
Yannic Kilcher
Yannic Kilcher recently finished his Ph.D. at ETH Zurich. He is a researcher himself, so he is quite immersed in the research world already.
He has very informative videos that go into great detail with many papers particularly related to deep learning, natural language processing, and reinforcement learning.
He is also usually very quick with the videos that he prepares, which makes it easier for others to go and understand the popular papers that have been grabbing a lot of attention on Twitter or in the research community in general.
He is also very engaging and fun to watch.
You can see a video of him explaining in great detail the paper about GPT-3.https://www.fatosmorina.com/media/9749b34c1429c2ec029859d6721f84cb
He sometimes even discusses some memes related to machine learning:https://www.fatosmorina.com/media/fbff685a18012a0ad3656247dc37d93e
Aladdin Persson
Aladdin is a math student but has already uploaded many hands-on tutorials such as videos about Pytorch, Tensorflow, and also implementation of the papers.https://www.fatosmorina.com/media/d7ff59c3828cc658c7689e757aeb199f
Moreover, it includes in-depth explanations of papers that walk you through all the nitty-gritty details of a few papers.
At the time of this writing, it is generally including videos reviewing some relatively old papers.
However, that can still be quite helpful for many people, especially the ones who are just getting started, or that didn’t understand those papers on their own.
The channel is relatively new, but it is being updated constantly and it can be quite reassuring that you may see new videos on a regular basis.
2-minute paper
Two Minute Papers
What a time to be alive!www.youtube.com
This is one of the most popular channels that has grown tremendously, attracting almost a million subscribers at the time of this writing.
Although in most cases nowadays it doesn’t have its videos 2 minutes long as it is expected from a channel with that name, the explanations by Károly Zsolnai-Fehé are quick and to the main points of the papers mentioned.
He publishes frequently and usually gives you a brief overview of what a particular paper is all about, giving you links and references to the papers covered.
Moreover, his video titles are usually quite attractive and can spark an interest in even non-technical people who may want to get a glimpse of what’s going on in machine learning and AI in general, like the following:https://www.fatosmorina.com/media/4d0d00e56fc41235c92ba06a5851cf37
In many of his videos, he also expresses his amazement with the advancement of the field via the following:
“What a time to be alive!” — Károly Zsolnai-Fehér
Henry AI Labs
Aside from a lot of videos covering the latest news in the research field, this channel also publishes videos that are related to research.
Here is a video summary of the impressive DALL-E paper published by OpenAI.https://www.fatosmorina.com/media/e2cde0865f630e3cdd3294a299ad590b
You can find a full playlist with many videos here with short summaries of many deep learning papers on topics such as Computer Vision, Natural Language Processing, Graph Embeddings, Generative Adversarial Networks, Reinforcement Learning, etc.
You can see his videos organized in the following README file on GitHub.
Machine Learning Dojo with Tim Scarfe
This channel is run by Dr. Tim Scarfe in collaboration with others, in which you can find not only paper reviews but also discussions related to projects, interviews, and deep dives into machine learning topics.
You can see his excitement in this short intro video:https://www.fatosmorina.com/media/2eb20c5e0d0da9410d98c2e495e6d3bd
They also have a Discord group in case you want to further discuss your research ideas and potential collaborations there.
Moreover, Dr. Tim holds a podcast called Machine Learning Street Talk with Yannic Kilcher and Connor Shorten.
Bits of Deep Learning
This channel includes videos explaining mostly deep learning papers related to computer vision, natural language processing, and more.
This channel is not that much known and at the time of this writing, it doesn’t have a lot of videos that you can watch either.
Here’s a quick review of a paper that you can watch and have a better understanding of the way they explain things:
However, do not let that prevent you from watching this content and learn at least something from it.
Machine Learning and AI Academy
This channel consists of a few people that have already finished their PhDs.
The list of topics that they include in their channel is deep reinforcement learning, deep learning, probabilistic modeling, Gaussian processes, probability theory, linear algebra, and convex and non-convex optimization.
Although it only contains 13 videos at the time of this writing, there are some pretty informative videos that can be worth your time depending on your interest.
Here is an in-depth review of Wasserstein Robust Reinforcement Learning:
Arxiv Insights
It’s been more than a year since the last time a video was published by this channel and it only contains 11 videos so far.
Still, Arxiv Insights has some great content that is worth watching.
It contains deep dives and also has the reviewer himself, Xander Steenbrugge, shown in the video explaining to you the papers which can make you have a more personal connection to the person who you are listening to.
At the time of this writing, he hasn’t published a lot of videos, but the ones that are already published are very well organized and worth watching and learning from.
Here is a video that goes into great details about variational autoencoders:
That’s pretty much it.
If you know any other good channel that we should keep in our radars, please do not hesitate to tell us in the comment section below.
