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

30papers.com

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

#91

Post by Citizen_Lame »

supern0va wrote: post #50
HAL3000 wrote: 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?

First year CS student is already vibe coding something which lacks basic presentation skills.

If he was really excited he would have put an effort and he wouldn't clickbate submission title.

But alas here we are, perhaps we should give him particpation star for effort.

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

#92

Post by Rzor »

bartread wrote: post #87
supern0va wrote: post #50

Earlier quoted context omitted.

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?

It's always fun to remember how rude people were about Dropbox on here. More seriously though, in many ways HN is a pretty broad church. You're always going to get a spectrum of opinions, and some portion of people are always going to be particularly forceful about putting forth their opinion. Maybe it's a bad day, maybe it's habit, varies from person to person and day to day, etc. But I think, if you're posting some…

We are way past that point now. It's a common tendency around here, especially taking into account how often those type of posts are actually the ones on the top. Gladly we still have people like your parent to call them out immediately.

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

#94

Post by whiplash451 »

bartread wrote: post #87
supern0va wrote: post #50

Earlier quoted context omitted.

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?

It's always fun to remember how rude people were about Dropbox on here. More seriously though, in many ways HN is a pretty broad church. You're always going to get a spectrum of opinions, and some portion of people are always going to be particularly forceful about putting forth their opinion. Maybe it's a bad day, maybe it's habit, varies from person to person and day to day, etc. But I think, if you're posting some…

> negative feedback - and dismissive feedback - is something you need to be prepared

OK. Let's RFM: first line = "Be kind. Don't be snarky. Converse curiously; don't cross-examine. Edit out swipes."

So, no, it's not HN-OK for rude & unfounded feedback to make it to the top comment.

Even if the website is "bad" (i.e. those 30 papers were never linked to Ilya etc.), the proper way of handling this is to call it out in a neutral way.

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

#95

Post by esperent »

bartread wrote: post #87
supern0va wrote: post #50

Earlier quoted context omitted.

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?

It's always fun to remember how rude people were about Dropbox on here. More seriously though, in many ways HN is a pretty broad church. You're always going to get a spectrum of opinions, and some portion of people are always going to be particularly forceful about putting forth their opinion. Maybe it's a bad day, maybe it's habit, varies from person to person and day to day, etc. But I think, if you're posting some…

> some portion of people are always going to be particularly forceful about putting forth their opinion. Maybe it's a bad day, maybe it's habit, varies from person to person and day to day, etc.

I have no problem that someone had a bad reaction to this and needs to vent, I have a problem that the community deems it the most noteworthy comment and keeps it voted to the very top of the thread.

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

#97

Post by joeclark77 »

Thanks for the effort; I have a little feedback: - Very few of these are labeled with a clear reference to source and date (think APA style). - They don't seem to be in order chronologically. I would think "essential" papers would be read from the earlier "foundational" works up to the more recent ones that work on them. - The oldest ones seem to date to the 2010s. I think it would be hard to jump in at such a recent point. The basics of machine learning come from the 1960s-70s.

If you want to improve it I would recommend coming up with a sequential "reading list" including a few classic papers, some intermediate advancements (frequently referenced), and then a few new, cutting edge articles.

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

#98

Post by htek »

schmookeeg wrote: post #66
youniverse wrote: post #35

Earlier quoted context omitted.

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

I feel seen. Straight to the "stuff to read later" bookmark pile/mausoleum :)

Ah, the graveyard of "things I'll read when I have time". I know it well. Then there's the mass grave of "dead links to things I'll check against the Wayback Machine when I have the time to look them up to add back to the graveyard of things I'll read when I have time".

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

#99

Post by taude »

htek wrote: post #98
schmookeeg wrote: post #66

Earlier quoted context omitted.

I feel seen. Straight to the "stuff to read later" bookmark pile/mausoleum :)

Ah, the graveyard of "things I'll read when I have time". I know it well. Then there's the mass grave of "dead links to things I'll check against the Wayback Machine when I have the time to look them up to add back to the graveyard of things I'll read when I have time".

at least you haven't optimized a workflow to convert the page to markdown file, download locally into some folder that you watched 30 youtube videos on how to organize your knowledge graph....to never read later, or to burn 10s of Ks of tokens to build into karpathy wiki knowledge tree....

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

#100

Post by dahart »

upmind wrote: post #96

I wonder how up to date these papers are because I imagine this list came out >6 years ago

It’s very easy to check & see there’s at least one paper from 2023. Also it takes time to know which papers are influential. But better to contribute than speculate… what are the seminal ML papers from the last 6 years that should be on the list?
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