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Smitha Milli proslijedio/la je Tweet
‘Value-laden disciplinary shifts in machine learning’ @smithamilli@DotanRavit accessibly told#FAT2020 “accuracy is not neutral”, illustrated by ImageNet shifting idea of accuracy to favour accuracy in data-intensive, compute-intensive environments: https://dl.acm.org/doi/abs/10.1145/3351095.3373157 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Smitha Milli proslijedio/la je Tweet
A thread of some
#FAT2020 paper presentations that translated between academic disciplines
As an interdisciplinary organisation, we’re excited about work that intersects and communicates across experience, which is crucial but can be under-recognised in academic contexts.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Smitha Milli proslijedio/la je Tweet
Glad I don't have to keep this a secret anymore -
@fatconference is in Toronto next year! Excited to welcome everyone up to Canada in January



#FAT2020#FAccT2021pic.twitter.com/Zg5ymuzkVH
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Flipping the bit isn’t the right approach, but I’m v skeptical that using the pairings from an uninterpretable transport mapping is
#FAT2020https://twitter.com/lizjosullivan/status/1222107700391075840 …
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Smitha Milli proslijedio/la je Tweet
Twitter Cortex folks and our intern alumna
@SmithaMilli
at @fatconference#FAT2020#METApic.twitter.com/nF8Yw2EEUk
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Smitha Milli proslijedio/la je Tweet
Attending
@fatconference FAT*2020? Come to our social at 8:30pm on Tue Jan 28th at the bar of the@barcelosants hotel (conference location). Join us for refreshments, drinks, and lovely company! Allies welcome!
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Just got to Barcelona for
@fatconference! Looking forward to seeing everyone :D#FAT2020Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Thanks for having me!! :) really fun to talk to everyonehttps://twitter.com/aidanngomez/status/1219977658882306048 …
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Smitha Milli proslijedio/la je Tweet
I’ve been finding myself increasingly uninterested in big, sweeping causal questions, eg “how does incarceration affect future employment”. I rarely believe the results of this kind of study. 1/
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Smitha Milli proslijedio/la je Tweet
Judea, here is work that represents multiples datasets using CI language (DAGS & selection diagrams): https://arxiv.org/pdf/1812.04597.pdf … & extracts stable ML models. This https://arxiv.org/pdf/1905.11374.pdf … puts diff methods for identifying stable models into a common framework w/ causal underpinnings.
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Smitha Milli proslijedio/la je Tweet
East coast and midwest academic friends! I'll be giving a talk Mon, Nov 9 at UMich & would be happy to give a talk at your uni Nov 10, 11, or 12. DM or email me! More on the book: https://morganya.org/charisma
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Smitha Milli proslijedio/la je Tweet
Only 3 weeks to the submission deadline! Submit your multidisciplinary work and join us in Addis Ababa! We have our list of speakers up: https://baicsworkshop.github.io/#invited-speakers …https://twitter.com/aidanematzadeh/status/1206653690641354753 …
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Smitha Milli proslijedio/la je Tweet
BREAKING: for the past several years
@UCBerkeley has been relying on undergrads to teach a majority of classes in the Computer Sci (ECCS) department oftentimes for little to NO wages yesterday an arbitrator ruled, at our behest, that UCB OWES the workers more than $5 MILLIONPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Smitha Milli proslijedio/la je Tweet
Proud to launch the first ever
@Nike Chinese New Year spot. Proud of the team behind it.pic.twitter.com/7WOJ8QPVfUHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Smitha Milli proslijedio/la je Tweet
What makes big decisions agonizing? What is the computational equivalent of this agony? John McCoy and I reflect on this and other stuff, in a recent symposium on L.A. Paul's (
@trexproject) Transformative Experience book. https://www.rifp.it/ojs/index.php/rifp/article/view/rifp.2019.0029/979 …pic.twitter.com/zKYbvPy7WO
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I was vegan for 2 years in college and in 2020 I’m doing 90% of the days vegan It’s not 100% b/c I’m skeptical of how nutritionally robust an all-vegan diet is 90% vegan is also relatively easy, it means 36 days to eat whatever, or 3 times a month
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btw pandora is way better for this b/c they do content-based recs
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if I listen to e.g. a turkish DJ on spotify, the "related artists" are just other turkish artists (that have nothing in common musically) limits of collaborative filtering! user similarity isn't just caused by music taste, there are confounds like geographic region
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