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Chaitanya (Chay) Ryali proslijedio/la je Tweet
New preprint: https://arxiv.org/abs/2001.04907 Locality sensitive hashing with synaptic weights learned in a biologically-plausible way, SOTA results on unsupervised similarity search based on hashing for MNIST and CIFAR-10, and discussion of the computational role of olfactory networks.pic.twitter.com/UjzPZ6a4va
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Chaitanya (Chay) Ryali proslijedio/la je Tweet
Meta-reviewer boldly claims that our entire theorem is wrong by providing a "counterxample" wherein they claim S=[1 0; 0 -2] to be a positive definite matrix, while denouncing our claims to be false!!
Are you sure you want to be meta-reviewing? Please be more considerate.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Chaitanya (Chay) Ryali proslijedio/la je Tweet
(4) Differences in the degree to which men-led and women-led teams undercite women are only partly explained by the structure of authors’ social networks; after accounting for social networks, women-led teams cite relatively equitably, while men-led teams still overcite men.
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Chaitanya (Chay) Ryali proslijedio/la je Tweet
(2) The undercitation of women-led papers is driven largely by the citation behavior of men-led teams; (3) Undercitation of women-led papers is increasing over time, particularly within the reference lists of men-led teams;
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Chaitanya (Chay) Ryali proslijedio/la je Tweet
New from
@jddwor Extent & drivers of gender imbalance in neuroscience reference lists https://tinyurl.com/yfw26jy2 . w/@Penn_SIVE,@perryzurn, Teich, Linn. Covering issues of bias, ethics, & social behavior vital to all fields grappling with their own visions of an equitable future.pic.twitter.com/lzM0ZJGhXU
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Chaitanya (Chay) Ryali proslijedio/la je Tweet
Wesley presenting the poster and me pretending https://twitter.com/adamianou/status/1205627909605675008 …pic.twitter.com/QtZeo793Ec
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Chaitanya (Chay) Ryali proslijedio/la je Tweet
Yu: humans overestimate environment volatility, use suboptimal decision policies, and underestimate prior mean rewards. (paper: http://www.cogsci.ucsd.edu/~ajyu/Papers/nips18_MAB.pdf …)
#NeurIPS2019.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Chaitanya (Chay) Ryali proslijedio/la je Tweet
Angela Yu now presenting on the important consideration that humans have idiosyncratic learning and decision making - they assume the environment dynamics are changeable, even if they are truly are fixed (paper: http://www.cogsci.ucsd.edu/~ajyu/Papers/nips18_DBMEXP.pdf …).
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Chaitanya (Chay) Ryali proslijedio/la je Tweet
Angela Yu is giving a great talk on "Features or Bugs: Synergistic Idiosyncrasies in Human Learning and Decision-Making." Join us in the Ballroom C or catch the rest of the talk via livestream!
#NeurIPS2019pic.twitter.com/G5m2DZB3ru
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Chaitanya (Chay) Ryali proslijedio/la je Tweet
Come to
@svrhm2019#NeurIPS2019 to hear about BioHash - a bio-inspired algorithm motivated by fruit fly olfactory system. SOTA results on unsupervised similarity search based on hashing for MNIST and CIFAR-10. Joint work of@wrong_whp and@DimaKrotov .@IBMResearch@MITIBMLabpic.twitter.com/Wh1Hv9tqEP
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Chaitanya (Chay) Ryali proslijedio/la je Tweet
I will be presenting my internship project with
@twitter cortex tonight 6:30@WiMLworkshop on deep Bayesian bandit for personalized online recommendation, where we attempt to mitigate dataset bias issue with exploration! Poster #345, stop by and discuss!#WiML2019#NeurIPS2019Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Chaitanya (Chay) Ryali proslijedio/la je Tweet
[
#SVRHM2019 Workshop Paper Preview] Inspired by FlyHash, a fruit-fly-inspired hashing algorithm,@wrong_whp and Dmitry Krotov present BioHash, that can make use of data to learn its hash codes. Papers / Schedule at: http://svrhm2019.com#NeurIPS2019pic.twitter.com/AEScKUM2kf
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Chaitanya (Chay) Ryali proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Chaitanya (Chay) Ryali proslijedio/la je Tweet
Researchers currently don't have a forum for sharing updated thoughts on their past papers.
@ryan_t_lowe introduces ML Retrospectives, a new NeurIPS workshop that wants to change that.#ResearchCulture#NeurIPShttps://thegradient.pub/introducing-retrospectives/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Chaitanya (Chay) Ryali proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Chaitanya (Chay) Ryali proslijedio/la je Tweet
Why do ML researchers keep applying information theory to deterministic settings? It doesn’t make any sense.https://twitter.com/MarioLucic_/status/1156888775492022274 …
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Chaitanya (Chay) Ryali proslijedio/la je Tweet
Reckon that last point is the key one, tbh. Don’t see yourself as a gatekeeper, but rather a colleague trying to help someone produce better work.
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Chaitanya (Chay) Ryali proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Chaitanya (Chay) Ryali proslijedio/la je Tweet
Those were the days, my good friend We wrote gradients down by hand They weren't too complex Our losses were convex You’re too young, you won't understand
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Chaitanya (Chay) Ryali proslijedio/la je Tweet
Exciting news. If a few more big universities show the same spirit, this whole scam will fall apart. It's only a matter of time.https://www.chronicle.com/article/U-of-California-System/245798 …
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