Jessica Zosa Forde
@in4dmatics
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Makin' science 🔬. Deep learning & reproducibility @BrownCSDept @mlittmancs. Maintainer emerita: @projectjupyter @mybinderteam
Manaháhtaan
Joined October 2014
🔥The ML Reproducibility Challenge is back! The 6th edition now expands to papers from 11 ML conferences: NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ECCV, AAAI, IJCAI-ECAI, ACM FAccT & SIGIR. ML journals included this year: JMLR, TACL, & TMLR. Read more: https://t.co/tTHElxo1Xl
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PhD students presenting their findings to their supervisor:
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#IJCAI2022 The winner of the IJCAI-22 John McCarthy Award is Michael L. Littman @mlittmancs @BrownUniversity ⚡ Some Open Problems in Sequential Decision Making 🗓 29 July @ 13:45 – 15:15
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I asked an ML person at a well-known lab recently whose moral responsibility it would be if their model suggested code that contained a serious bug and, due to automation bias, the user accepted the code, and the bug caused harm. They said the user's. This is why I'm terrified
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It is really satisfying to see policy implementations following our work in @theNASEM study committee on "Reproducibility and Replicability in Science"—I'm proud of this service to the nation's scientific enterprise. #OpenScience #reproducibility
https://t.co/H9BK7qUDmP
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A seminar I attended taught by @jtompkin included https://t.co/bPVpXZifxA - learning to read papers is an important skill to teach researchers!
dl.acm.org
Researchers spend a great deal of time reading research papers. However, this skill is rarely taught, leading to much wasted effort. This article outlines a practical and efficient three-pass method...
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Regarding Dalle and Imagen: These systems are *amazing*. However, I (selfishly) wish that all of that ML expertise and compute was focused on solving scientific problems, rather than generating panda art! Yes, it advances the field, but why not solve science simultaneously?
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Accepted reports from MLRC 2021 is now published at ReScience journal! https://t.co/eVu0hzCT5R To have a quick look at this years program, read our editorial here: https://t.co/Lfikwq0dsW Cheers to our awesome AC's! @in4dmatics @JesseDodge @SashaMTL @rbstojnic @sharath2269
Camera ready phase for MLRC 2021 is now complete. All 47 papers (+ editorial) is now published in Volume 8 Issue 2 of ReScience C @ReScienceEds : https://t.co/Gv99ynpb5X Thanks to our ACs, Reviewers and participants for making MLRC2021 a success! See you again @ MLRC2022!
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Come check out @MauritsBleeker presenting about the FACT-AI course from @UvA_Amsterdam at our #ACL2022 Tutorial on Reproducibility in NLP with @JesseDodge @in4dmatics @SashaMTL @samarthbhargav @rbstojnic @koustuvsinha 🎉🥳
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I’ll be co-presenting a tutorial (remotely) on Reproducibility in NLP at #acl2022 tomorrow 9.30AM Dublin time, with @__alucic @JesseDodge @MauritsBleeker @samarthbhargav Jessica Forde & Robert Stojnic. Details : https://t.co/vUBidAooWF. See you there!
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Join us at the ACL tutorial on reproducibility happening now! https://t.co/OemZpI9HGx with @__alucic @in4dmatics @JesseDodge @koustuvsinha @SashaMTL @MauritsBleeker @samarthbhargav @rbstojnic
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Our #FAccT2022 #CRAFT session on *Communication Across Communities in Machine Learning Research and Practice*! w @stefesseM @adri_romsor @caglarml @leventsagun @seyiolojo @neurosamuel @in4dmatics
https://t.co/Dk59egw5tF
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Excited to host Tamara Broderick (MIT) for the 1st ICBINB monthly seminar series!! When: Thursday, Feb 3rd at 10:00AM EST. Where: RSVP for the Zoom link: https://t.co/8W9Vzl8AJu Title: An Automatic Finite-Sample Robustness Metric: Can Dropping a Little Data Change Conclusions?
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It is official! We have launched the ICBINB initiative! ( https://t.co/5y5KwdycX9) Let's crack open the research process together. Thank you @AaronSchein
@franciscuto
@_hylandSL
@in4dmatics
@wellingmax
@ta_broderick and Bob Williamson to make it happen!!
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Happy to share that we'll be presenting a tutorial about reproducibility in NLP at #ACL2022! This will be a joint effort between @UvA_Amsterdam and @repro_challenge, CC: @MauritsBleeker, @samarthbhargav, @in4dmatics, @koustuvsinha, @JesseDodge, @SashaMTL and @rbstojnic! 🥳🥳🥳
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Thank you everyone (attendees, presenters, speakers, reviewers, volunteers and organizers) for making ICBINB@NeurIPS 2021 a success!! We would love to hear back from you all, please fill this 3min survey:
docs.google.com
Thank you for taking part of the workshop! We would love to hear your feedback on the workshop. What did you like? What would you like to see next time? Is there anything we could do better for next...
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Happening now! We're in G3 in the optimization poster room by the purple demon 😈 @afedercooper @NeurIPSConf
https://t.co/jcE2cUZpk7
In 1 Hour! @afedercooper @yuchengthekid and I will be at posters with "Hyperparameter Optimization Is Deceiving Us, and How to Stop It" Come chat about how we draw conclusions from experiments in ML & how we can make our processes more rigorous https://t.co/4CXfhp6h4G
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In 1 Hour! @afedercooper @yuchengthekid and I will be at posters with "Hyperparameter Optimization Is Deceiving Us, and How to Stop It" Come chat about how we draw conclusions from experiments in ML & how we can make our processes more rigorous https://t.co/4CXfhp6h4G
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