Many of the areas are highly interconnected, so it is nice to see an overview. For example, randomized smoothing research in AR could motivate training methods like those seen for diffusion models.
I enjoy the exploration. So many channels get in the weeds and I'm just a newbie so my brain isn't so big. I think even better is if you made a follow-up video of interesting things you learned from the new additions to the reading list
I really liked this video, especially the 29 second intro to some of the topics.
plot twist: 4800 of these were generated by GPT-4
Ngl I at least saw one that definitely looked like it could’ve been AI generated lol
It might already be at GPT-5....
@@Xaminn GPT6 actually.
@@IAmCandal You are most likely correct. 😂
Thank you for this!! Love getting a high level overview of the field. Would love to see a similar video for the accepted NeurIPS papers 👀
Thank heavens I found your channel. Have been searching for a good ml channel since yannic went on his social media sister tangent.
Many of the areas are highly interconnected, so it is nice to see an overview. For example, randomized smoothing research in AR could motivate training methods like those seen for diffusion models.
Very surprised not to see more on embeddings at ICLR, as in "Learning REPRESENTATIONS"... Very surprised given the advances from DeepMind's GATO!
I enjoy the exploration. So many channels get in the weeds and I'm just a newbie so my brain isn't so big. I think even better is if you made a follow-up video of interesting things you learned from the new additions to the reading list
I did enjoy this very much, would be glad to watch more videos like this. I've enjoyed all your content.
Very entertaining and interesting to watch! :)
I do enjoy this kind of videos, nice job
awesome content! its really hard to grasp whats going on in these huge conferences and thus really gives a good idea.
I would love to see more content like this!
Thank You
Cool stuff. It helps to get an overview of where the whole AI/ML field is at these days. Thanks.
Thank you for sharing this buddy! very interesting.
Please do this for neurips
I would hope that the value of broad exploration of the space of AI/ML papers is rather self-evident!
Very cool little overview !
I find intrest in papers that don't cluster much
Thanks for the sharing! How do you think Nomic works?
Bit suprised that federated learning is suddenly flourished nowadays...
Interesting
Visual editors are coming for machine learning.