What makes your channel stand out (It's incredibly refreshing) is that you are all about uplifting the viewer teaching them to do it themselves. Where other channels are hype trains that make the viewer feel like they will be left behind.
@waxwingvain
Жыл бұрын
I like this format!! Keep doing this for the biggest conferences :D.
@monajmilan
Жыл бұрын
Could not agree more!
@helen_jessica
Жыл бұрын
Really liked your honesty about what you did and didn't understand. My masters supervisor said if you learn one thing from a paper the first time you read you nailed it, but then there are always those papers outside your understanding or interests. Thanks for the wrap up, really interesting.
@Mutual_Information
Жыл бұрын
Damn this was an excellently dense dose of info - love this channel
@miziwang7023
9 ай бұрын
so cool! Thank u for ur great vid! Looking forward to seeing ur 2023 version! 😊
@tomkan3067
Жыл бұрын
Would love to see you cover other conferences too such as MLsys. Keep up the good work!
@DanielJayy
Жыл бұрын
Loved this concept, thanks ❤
@clementdato6328
Жыл бұрын
The sgd limit paper seems to be on the line of the Edge of Stability phenomena, i.e, large learning rate actually learns more/faster/better, where people found a phase transition when the learning rate is just large enough so that the training trajectories depart from the gradient flow. Would be a good read for any theory nerd like me
@mpty2022
Жыл бұрын
8:23 Flamingo paper had an emoji too... i am also surprised :D
@chinmayeejoshi4592
Жыл бұрын
Love the format. ❤️ This is especially great for people whose learning method is T shaped.
@ivanvoid4910
Жыл бұрын
summary of a summary, cool stuff man.
@screwnacorn
Жыл бұрын
Thanks, keep it up :)
@RojinaPanta1
Жыл бұрын
very nice video :D
@barrettvelker198
Жыл бұрын
Def do a video on that Minecraft paper!
@thomashirtz
Жыл бұрын
It was good :) Just didn't like the mic quality though, not loud and clear enough :/
@egehosgungor2897
Жыл бұрын
Chincilla is not part of the 2022 Outstanding Paper Awards.
@misrasaurabh1
Жыл бұрын
Can you please read the papers more thoroughly and summarize the key contribution the paper is making? It's cool to know from a high level what it's doing but as a ml person, I am not getting enough value from this summary. If you just summarize the key contribution of the paper in some technicality, that would be highly appreciated and will help me learn much better
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