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https://paperswithcode.com/ https://paperswithcode.com/ is arguably the best source and overview of all the research. Its also (somewhat) unbiased (owned by Met
by ulrikhansen54 4y ago
https://paperswithcode.com/ https://paperswithcode.com/ is arguably the best source and overview of all the research. Its also (somewhat) unbiased (owned by Meta), not being an SEO-optimised company blog.
- deleted 4y ago[deleted]
- auggierose 4y agoDo they just pick papers by themselves, selecting from already published papers?
- ulrikhansen54 4y agoThey pull everything from various e-print archives (arXiv, ResearchGate, etc.) AFAIK Edit: Everything tagged with AI/ML
- Jaxan 4y agoI am not sure reading 25 papers per day is a good way of staying up to date.
- polynomial 4y agoOh it's a great way, if you have the time. Therein lies the problem.
- danesparza 4y agoC'mon. That's only 4 papers an hour! :-)
- brudgers 4y agoThe average academic paper is about 12-14 pages including citations. So on average probably 50 pages an hour. With practice, that's entirely reasonable. Without practice it's a lot. Reading technical literature is a skill that develops over time. At first it goes slow. Then it gets normal. At first it might take an hour to read a 12 page paper. After a few months, fifteen minutes becomes enough to read a paper and make a cup of coffee.
- pixl97 4y agoReminds me of a reddit meme I saw a few weeks ago of a picture of a boxer trying to keep up with the rate of change and getting tired out, then saying "damn, singularity got hands"
- ReDeiPirati 4y ago+1 to this, plus how many of those papers are pure bullsh*t? In the last years, I saw lot of crap just for the sake of publishing in AI.
- reaperman 4y agoA lot of the latest high-performing models aren't making it to HN. I use paperswithcode by scanning major tasks for new models that come out #1 across multiple benchmarks and then reading those papers. BeIT-3 for example.
- Veen 4y agoThat'd be great if it had an RSS feed.
- zoenolan 4y agoSome unofficial feeds exist https://github.com/ml-feeds/pwc-feeds https://github.com/ml-feeds/pwc-feeds