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30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format

30papers.com

41–50 of 121 posts

Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format

#41
post #30

Someone posts on X, "These are Ilya’s 30 papers", gives no source, doesn't say where he got it from, and isn't connected to either Ilya or Carmack (Ilya gave him the list). Then someone vibe codes a barely usable website based on that, and it lands on the HN front page? Is this correct?

Compiled resources for nerds are catnip. Hit that bookmark/upvote button to never get to it :)

I wish this was more wrong.

Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format

#42
post #31

After seeing this for the first time, I've build PdfToMp3 to listen to these papers. It has now evolved into ListenDock. Fun fact: PdfToMp3 existed before NotebookLM and I already had "overviews", but I called them teacher explanations. Here is an example of a "Teacher Explanation" of the paper "Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton" https://listendock.com/e/quantifying_t…

Why do I get downvoted whenever I post something here? Do you think its too spammy? Because its AI? Do I have a downvote bot following me?

Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format

#43

No need stupid moving texts. CS231n: Convolutional Neural Networks for Visual Recognition - https://cs231n.github.io/ The Unreasonable Effectiveness of Recurrent Neural Networks - https://karpathy.github.io/2015/05/21/rnn-effectiveness/ Understanding LSTM Networks - https://colah.github.io/posts/2015-08-Understanding-LSTMs/ ImageNet Classification with Deep Convolutional Neural Networks - https://papers.nips.cc/paper…

Upvoted. Did you compile that list just now, pulled it from bookmarks, or other source?

Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format

#44
post #42
post #31

After seeing this for the first time, I've build PdfToMp3 to listen to these papers. It has now evolved into ListenDock. Fun fact: PdfToMp3 existed before NotebookLM and I already had "overviews", but I called them teacher explanations. Here is an example of a "Teacher Explanation" of the paper "Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton" https://listendock.com/e/quantifying_t…

Why do I get downvoted whenever I post something here? Do you think its too spammy? Because its AI? Do I have a downvote bot following me?

I haven’t looked at your other comments but the answer is your comment isn’t valuable.

Text to speech summarizing is a dime a dozen. Your audience here prefers reading a blog and is already annoyed by ai vs written by a human content so what you are offering is the opposite of what they want.

Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format

#45
For beginners I'd recommend the Welch Labs Illustrated Guide To AI if your not well versed in reading papers. Its a beautiful book that I've enjoyed going through. I'd recommend going through these papers after reading that to get a deep understanding.

Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format

#47

Noting the theory papers on Kolmorogov complexity. For those not familiar, Ilya argues that the reason why neural networks generalize -- why they work at all -- is because they are effectively finding a simple description of their training data , converging down onto the limit of the Kolmorogov complexity. [1] [1] https://www.youtube.com/watch?v=AKMuA_TVz3A

That's true of all statistical models, it's not some magic property of neural networks.

Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format

#48
post #44
post #42

Earlier quoted context omitted.

Why do I get downvoted whenever I post something here? Do you think its too spammy? Because its AI? Do I have a downvote bot following me?

I haven’t looked at your other comments but the answer is your comment isn’t valuable. Text to speech summarizing is a dime a dozen. Your audience here prefers reading a blog and is already annoyed by ai vs written by a human content so what you are offering is the opposite of what they want.

Ok, thanks for the viewpoint, that makes sense. I use AI summaries every day and find it very valuable. But I also see the trend e.g. on Reddit, that people are very dismissive of ai content.

Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format

#49
post #30

Someone posts on X, "These are Ilya’s 30 papers", gives no source, doesn't say where he got it from, and isn't connected to either Ilya or Carmack (Ilya gave him the list). Then someone vibe codes a barely usable website based on that, and it lands on the HN front page? Is this correct?

Compiled resources for nerds are catnip. Hit that bookmark/upvote button to never get to it :)

attention is all you need

Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format

#50
post #30

Someone posts on X, "These are Ilya’s 30 papers", gives no source, doesn't say where he got it from, and isn't connected to either Ilya or Carmack (Ilya gave him the list). Then someone vibe codes a barely usable website based on that, and it lands on the HN front page? Is this correct?

First year CS student excited to learn about a thing puts together a small website of academic papers, posts it to HN to share with others.

Then someone makes a shitty comment. Is that correct?

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