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Papers with Code

paperswithcode.com

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Re: Papers with Code

#21

Post by MasterIdiot »

rg111 wrote: post #3

It is weird to see Papers with Code on the front page of HN. This site is the bread and butter of each Research Engineers and Scientists working in Deep Learning. You use the site almost everyday. Advanced learners also use the site regularly. You would just think that "everyone knows" and never think of sharing the site on HN.

While there's probably some value in posting the resources "everyone knows", Papers with Code was submitted multiple times in the past few years, which is a pretty common HN thing (whether this behavior is desired is up to dang and the community I guess).

Re: Papers with Code

#22

Post by visarga »

rg111 wrote: post #3

It is weird to see Papers with Code on the front page of HN. This site is the bread and butter of each Research Engineers and Scientists working in Deep Learning. You use the site almost everyday. Advanced learners also use the site regularly. You would just think that "everyone knows" and never think of sharing the site on HN.

Let me guess - everyone - means /r/machinelearning and a curated list of people on Twitter?

Re: Papers with Code

#23

Post by visarga »

igorkraw wrote: post #13
barefeg wrote: post #11

Earlier quoted context omitted.

I’m curious, how does it fit your daily workflow as an engineer? Is it somewhere where you get the “news” for the day? Or do you use it for getting information relevant to your current work projects?

You use it to find the code and data of a paper - since it also lists other implementations - to run additional baselines on Imagenet in order to appease reviewer #3( who has no idea why your paper on convex optimization has nothing to do with this but it's easier to run them than argue with them). Pre-parenthesis part is dead serious, parenthesis part is slightly hyperbolic due to accumulated trauma with bad reviewe…

It also gives an overview of the current state of the art for thousands of tasks and indexes current research by methods used, so you can quickly bootstrap research on a topic.

Another great resource is the HuggingFace model zoo. So many trained models easy to deploy.

Re: Papers with Code

#24

Post by stared »

barefeg wrote: post #11
rg111 wrote: post #3

It is weird to see Papers with Code on the front page of HN. This site is the bread and butter of each Research Engineers and Scientists working in Deep Learning. You use the site almost everyday. Advanced learners also use the site regularly. You would just think that "everyone knows" and never think of sharing the site on HN.

I’m curious, how does it fit your daily workflow as an engineer? Is it somewhere where you get the “news” for the day? Or do you use it for getting information relevant to your current work projects?

I never tracked is like news. I used it for two main things:

- Checking the state of the art (SotA) for a given problem. For some problems 2 year old solutions are still close to SotA; in others - there is a huge difference. And if there is a huge difference - is it because of architecture and parameter tuning, or using totally different architectures and training modes.

- Running code - to be used somewhere, or as a reference. Papers never have all details, and do not compile.

Context: I used to work in the field, as a consultant. Though, I cite Papers with Code in one overview paper.

Re: Papers with Code

#25

Post by nl »

2bitencryption wrote: post #12

Question - I get that your run-of-the-mill paper saying "Here we present a novel algorithm for xyz" will usually have the algorithm defined in simple psuedo-code, maybe with an implementation in a "real" language as a proof of concept. But for the many papers describing novel ML models, how does that work? They seem to use images that diagram out the different layers of the model. But is that truly "universal" the wa…

> But for the many papers describing novel ML models, how does that work? They seem to use images that diagram out the different layers of the model. But is that truly "universal" the way that a psuedo-code algorithm is universal? As in, if the authors use PyTorch (or whatever), can I take the exact model they describe in their paper and apply it in MyFavoriteMLToolkit and achieve similar results?

Generally, yes.

If they are standard, well-known layers that exist in both PyTorch and TF you can take a paper that was implemented in one and implement in the other and expect similar results (assuming you know a reasonable number of details[1]).

If they are non-standard layers it can be hard. There are lots of details that you need to port and even with access to the source code it can be easy to miss things.

[1] Here's an example of how things are implemented differently - you can still get the same result, but you need to know what you are doing: https://stackoverflow.com/questions/60079783/difference-betw...

Re: Papers with Code

#26

Post by ivegotnoaccount »

rg111 wrote: post #3

It is weird to see Papers with Code on the front page of HN. This site is the bread and butter of each Research Engineers and Scientists working in Deep Learning. You use the site almost everyday. Advanced learners also use the site regularly. You would just think that "everyone knows" and never think of sharing the site on HN.

Not everyone works in machine learning which seems to be the only subject the site handles, and those that do not work in it may still be interested in hearing about the existence of such a website.

Re: Papers with Code

#27

Post by mnks »

yukinon wrote: post #2

This is a great site. It's pretty ML focused which lands a bit outside my interest range, does anyone know of a similar site that has papers from CS as a whole?

Glad you like Papers with Code. Please check [1] for the list of scientific domains we currently support and [2] for CS in particular.

[1]: https://portal.paperswithcode.com/

[2]: https://cs.paperswithcode.com/

Re: Papers with Code

#28

Post by productceo »

Amazing website. As some noted in comments, widely used in AI research community, but I expect this website will be useful to the broader developer community as well!

Re: Papers with Code

#29

Post by mayankkaizen »

rg111 wrote: post #3

It is weird to see Papers with Code on the front page of HN. This site is the bread and butter of each Research Engineers and Scientists working in Deep Learning. You use the site almost everyday. Advanced learners also use the site regularly. You would just think that "everyone knows" and never think of sharing the site on HN.

After reading your comment, I now feel embarrassed as to why I haven't heard of this site.

Re: Papers with Code

#30

Post by btschaegg »

rg111 wrote: post #3

It is weird to see Papers with Code on the front page of HN. This site is the bread and butter of each Research Engineers and Scientists working in Deep Learning. You use the site almost everyday. Advanced learners also use the site regularly. You would just think that "everyone knows" and never think of sharing the site on HN.

Obligatory XKCD:

"Ten Thousand"

https://xkcd.com/1053/

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