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Comment by puhi | Hacker News Reader

How do i find all the interesting papers?

Like i like to read about things like: ML, Scaling, Filesystem, Databases, Algorithms etc.

I do get a lot of input through hn, friends, youtube, blogs but i'm not getting my papers from direct sources. I don't have anything like nature or so laying around either.

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Try to find a survey paper or review article [1] on the field you're interested in. They summarize the current state of the art in a field and link to the relevant papers. If the linked papers are behind a pay wall then you can use arXiv as recommended in another comment by searching the title/authors. The field usually wouldn't be as broad as "databases" but you could probably find one on "distributed wide column stores". I think they're usually published by grad students before they pick their thesis topic.

[1] https://en.m.wikipedia.org/wiki/Review_article

You can also go here for almost all papers

https://whereisscihub.now.sh/go

Make a list of papers that you find interesting and find out where they are published. Chances are, the venues that publish things you find interesting publish other work you'll like too.

For instance: USENIX ATC, USENIX Security, OSDI, SOSP, PLDI, ICSE, FSE, NDSS, ASPLOS, and CCS consistently have work I find interesting.

Good idea, tx :)

https://blog.acolyer.org/

Yes! Thats what i'm reading for 'blog' :)

It depends on the field, but for my fields, most new work is first published as pre-prints for free on arXiv (not peer reviewed yet!).

There are new entries every day. You may want to check it out.

https://paperswithcode.com/

I like that format. A short tidbit of abstract, as well as description tags.

For arxiv: There have been in avg 3000 Articles per Month for CS.

Like 100 papers you would need to skim every day :|.

There should be arxiv reddit mode :/

« For CS ». I mean, CS is pretty vast. There are subcategories, finer paper classifications, you can look into. It would still be a high number of paper to look at. You need to learn to skim over a title an abstract in ~30 secs and decide if it’s worth your time. Also, use google scholar alerts.

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