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catherineols's profile
Catherine Olsson
Catherine Olsson
Catherine Olsson
@catherineols

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Catherine Olsson

@catherineols

(soon) @open_phil (current) @googlebrain - GANs & adversarial examples (prev) @OpenAI, PhD dropout @NYU, @MIT Opinions are my own, not my employer's. She/her

Joined May 2010

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    Catherine Olsson‏ @catherineols Jan 9

    Everyone in ML research complains about the existing peer review tools/systems. If you're not a researcher, but you ARE someone who cares about ML as a field being sane, has a knack for product engineering, and understands communities, you could make a HUGE impact. [...]

    11:29 AM - 9 Jan 2019
    • 42 Retweets
    • 198 Likes
    • Stephen Nauman Anmol Anand Tom Morris Ethan Buchman Pranav Vempati Joy Chopra Molten Steel Volkan Eruyandı Bitcoin
    8 replies 42 retweets 198 likes
      1. New conversation
      2. Catherine Olsson‏ @catherineols Jan 9

        There are some efforts like this going on (see: https://www.groundai.com/ ) but none have much buy-in. As with startups, I don't think there's any harm in multiple attempts to assemble the right team & vision to build something that gets real momentum (e.g. product-market fit) [...]

        1 reply 0 retweets 37 likes
        Show this thread
      3. Catherine Olsson‏ @catherineols Jan 9

        My goal here is to send out yet another beacon, so "startup types" who are looking for a problem to solve might notice. There's a HUGE problem here. Please, somebody, help. If you want to work on this, but need a way to fund yourself, I will personally help you find funding.

        9 replies 3 retweets 43 likes
        Show this thread
      4. End of conversation
      1. New conversation
      2. Chan Kha Vu‏ @chankhavu Jan 10
        Replying to @catherineols

        Meanwhile, engineers are often having a HARD time understanding the results from researchers as well. It would be also nice to have a platform where one can share his/her understanding of non-trivial parts of the papers, or ask questions about specific parts.pic.twitter.com/0LqbXup9Je

        2 replies 0 retweets 5 likes
      3. Catherine Olsson‏ @catherineols Jan 10
        Replying to @chankhavu

        Yes! This is something @colinraffel and I explicitly discussed when we last talked about this!

        0 replies 0 retweets 1 like
      4. End of conversation
      1. New conversation
      2. Ben Reinhardt‏ @Ben_Reinhardt Jan 9
        Replying to @catherineols

        Have you talked to the folks at @openscience?

        1 reply 0 retweets 1 like
      3. Catherine Olsson‏ @catherineols Jan 9
        Replying to @Ben_Reinhardt @openscience

        I worked with @OSFramework on the Reproducibility Project in Psychology (as one of the ~200 authors!)... but @openscience appears to be a different org?

        1 reply 0 retweets 1 like
      4. Ben Reinhardt‏ @Ben_Reinhardt Jan 9
        Replying to @catherineols @openscience @OSFramework

        Good catch! I actually meant @OSFramework

        0 replies 0 retweets 2 likes
      5. End of conversation
      1. New conversation
      2. Seb Insua‏ @sebinsua Jan 9
        Replying to @catherineols

        Seb Insua Retweeted Amit Rathi

        This might not be what you're taking about, however for collaboration on Jupyter Notebooks ReviewNB by @amittrathi looks pretty exciting!https://twitter.com/amittrathi/status/1057280276798177280?s=21 …

        Seb Insua added,

        Amit Rathi @amittrathi
        Introducing ReviewNb, visual diffs for #Jupyter Notebooks on GitHub. It was fun building it, hope you like using it :D #DataScience #Python #VersionControl https://towardsdatascience.com/introducing-reviewnb-visual-diff-for-jupyter-notebooks-6797e6dfa20c …
        1 reply 0 retweets 5 likes
      3. Seb Insua‏ @sebinsua Jan 9
        Replying to @sebinsua @catherineols @amittrathi

        Particularly once the commenting feature is added, it should be possible to do reviews upon notebooks as is commonplace in software development.https://github.com/ReviewNB/support/issues/1 …

        0 replies 1 retweet 4 likes
      4. End of conversation
      1. Samuel Klein‏ @metasj Jan 9
        Replying to @catherineols

        @pubpub is working on review models, and hiring. How do you most often hash out informal review -- spaces like this? How much thirst is for better formal systems vs better collation + perception of the informal?

        0 replies 0 retweets 6 likes
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      1. Dean Kleissas‏ @DeanKleissas Jan 9
        Replying to @catherineols @openscience

        As a decentralized & portable system of record for data science and ML, peer review is one of the things we hope @gigantumscience can improve. Managed GPU containers across hw (eg. laptop to cloud) is dropping soon and a more full featured SaaS platform that’ll help is coming too

        0 replies 0 retweets 3 likes
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      1. Daniel Bilar‏ @daniel_bilar Jan 9
        Replying to @catherineols

        Daniel Bilar Retweeted Robin Hanson

        Maybe of interest in this respect @robinhanson new push for replicationhttps://twitter.com/robinhanson/status/1082707551026925570 …

        Daniel Bilar added,

        Robin HansonVerified account @robinhanson
        We seek academic journals to partner with us in a trial wherein they will consider, when deciding if to publish an experiment paper, prediction market estimates of whether that paper will replicate: https://www.overcomingbias.com/2019/01/replication-markets-team-seeks-journal-partners-for-replication-trial.html …
        Show this thread
        0 replies 0 retweets 1 like
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      1. Parand Darugar‏ @parand Jan 10
        Replying to @catherineols @dennybritz

        What's a good way to get in touch? I'm thinking through something in this space.

        0 replies 0 retweets 0 likes
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