"Arxiv Sanity Preserver: Because things are seriously getting out of hand" --Andrej Karpathy

:)

An experimental RSS feed for it is now available: https://us-east1-ml-feeds.cloudfunctions.net/arxiv-ml-review...

It's configured to be updated once a day.

I agree. Though auto-generated, that someone chose to do this and share their curation with the world is wonderful.

Categorization would definitely be good to have, but it requires the use of good quality ML to discern them accurately :) Meanwhile, please use Ctrl+F.

A higher priority is to serve a RSS feed for the results.

RSS feed would be great! Even better would be to pull the paper’s content out into the content body of the feed, so I could read it directly in an RSS reader. Probably no easy task, but I can dream.

An experimental RSS feed for it is now available. Please find the link to it at the new project repo: https://github.com/ml-feeds/arxiv-ml-reviews

The feed is in the works, but its content body will only contain the abstract, not the full paper.

it's auto-generated - it says so at the top. i don't see the point of this at all since you could reproduce by simply searching "survey" or "introduction". at minimum a cite count would've been helpful to distinguish well written ones from poorly written ones

The list of terms to include/exclude looks like it has taken some trial and error to compile: https://github.com/impredicative/arxiv-ml-reviews/blob/maste...

For example, it excludes "aerial survey", "peer review" and similar false positives.

It'd be easy to split them by year or subject, as that's provided by the arXiv.

Just how is the subject provided by arXiv? By subject, do you mean the categorization such as stat.ML, cs.AI, etc.?

yea sure why not? like just a tiny bit more curation would've made this actually useful. as it stands now it's just an unordered list.

It's currently ordered by date, with most recent on top. It's not unordered.