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Distill: a modern machine learning journal

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Re: Distill: a modern machine learning journal

#61

Post by syllogism »

j2kun wrote: post #52
gabrielgoh wrote: post #46

Earlier quoted context omitted.

i disagree with the first point. I'm working on a distill article with Chris and Shan, and the major draw for this has been impact. It seems very plausible that an article on distill has the potential to reach a far broader (and different) audience than a paper in even a top tier mathematical journal like SIAM would. I won't deny the time commitment needed for a distill article is not trivial - it is far more work th…

I meant incentive with respect to career advancement, in the narrow sense of what metrics hiring and tenure committees use to make decisions.

To get a grad student or post-doc position, you're really just trying to convince a specific human that you're smart, useful, and to some extent personable. Metrics are a good argument for that, but having them know who you are before you apply is even better.

This applies especially if you write the distillation targeted at the lab you want to hire you.

Re: Distill: a modern machine learning journal

#62

Post by colah3 »

billconan wrote: post #48
colah3 wrote: post #2

Various announcements: Google Research: https://research.googleblog.com/2017/03/distill-supporting-c... DeepMind: https://deepmind.com/blog/distill-communicating-science-mach... OpenAI: https://openai.com/blog/Distill/ YC Research: http://blog.ycombinator.com/distill-an-interactive-visual-jo... Chris Olah: http://colah.github.io/posts/2017-03-Distill/

Hi Chris, Thank you for this effort. I'm a fan of your blog articles. A question regarding Distill: is it a journal like conventional journal to target new research? Or it is a journal for educational articles to explain old researches better? I hope to contribute to an effort to better explain deep learning. I don't know if that is what distill is looking for?

We're interested in both review/tutorial articles and novel research articles. :)

Re: Distill: a modern machine learning journal

#63

Post by colah3 »

JorgeGT wrote: post #49
shancarter wrote: post #44

Earlier quoted context omitted.

Each article currently gets a DOI DOI: http://doi.org/10.23915/distill ISSN: 2476-0757

Uh, no? That's the DOI and ISSN for the journal, not for each article. The BibTeX code at the bottom of each article doesn't include a DOI either.

Every article has a DOI: https://search.crossref.org/?q=Distill&publication=Distill

Re: Distill: a modern machine learning journal

#65

Post by aabajian »

I already have a nomination. The guy who wrote this blog post:

http://adilmoujahid.com/posts/2016/06/introduction-deep-lear...

It's the only way I could get a working model of Caffe while understanding the data preparation steps. I've already retrofitted it to classify tumors.

Re: Distill: a modern machine learning journal

#66

Post by andrew3726 »

cing wrote: post #19

Is there any concern about a web-native journal being less "future-proof"? I've come across quite a few interactive learning demonstrations in Flash/Java that no longer work.

Also in addition to the sibling comment, the published articles will be on github under their organization.

Re: Distill: a modern machine learning journal

#67

Post by fmap »

j2kun wrote: post #18

I sure hope this catches on, but we should all be aware of the hurdles: - Little incentive for researchers to do this beyond their own good will. - Most ML researchers are bad writers, and it's unlikely that the editing team will do the work needed (which is often a larger reorganization of a paper and ideas) to improve clarity. - Producing great writing and clear, interactive figures, and managing an ongoing github…

Your criticism is spot on. If something like Distill existed for my own research area I would applaud it, but probably not use it because of time constraints.

On the other hand, being able to write well and to create good interactive illustrations are valuable skills. Maybe we could incorporate these things into seminars or otherwise crowdsource the creation of e.g. individual figures?

Re: Distill: a modern machine learning journal

#68

Post by ThomPete »

colah3 wrote: post #2

Various announcements: Google Research: https://research.googleblog.com/2017/03/distill-supporting-c... DeepMind: https://deepmind.com/blog/distill-communicating-science-mach... OpenAI: https://openai.com/blog/Distill/ YC Research: http://blog.ycombinator.com/distill-an-interactive-visual-jo... Chris Olah: http://colah.github.io/posts/2017-03-Distill/

Looks simply amazing and looking forward to getting deeper into it.

As a side note who made the interface design for this?:

http://playground.tensorflow.org/#activation=tanh&batchSize=...

I am very interested in getting into this space from a design perspective.

Re: Distill: a modern machine learning journal

#70

Post by kowdermeister »

colah3 wrote: post #22
j2kun wrote: post #18

I sure hope this catches on, but we should all be aware of the hurdles: - Little incentive for researchers to do this beyond their own good will. - Most ML researchers are bad writers, and it's unlikely that the editing team will do the work needed (which is often a larger reorganization of a paper and ideas) to improve clarity. - Producing great writing and clear, interactive figures, and managing an ongoing github…

You're absolutely right that this is a lot of work, and not many ML researchers have all the skills needed for it. In the short term, Distill's editorial assistance will help authors produce outstanding papers, although they need to be willing to work as well. In the longer-term, I'd like to explore match making between data visualization people who would like to get into machine learning and machine learning researc…

I already know a guy who's doing this. Although he chose to publish very short videos on various research (including many AI/ML), the concept and goal is more or less the same.

Two Minute Papers on YouTube:

https://www.youtube.com/user/keeroyz/videos

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