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Prikvačeni tweet
Check out our new preprint! We show that a simple neural code, shared by visual cortex and convolutional neural nets, predicts which images will be remembered and which will be forgotten. Surprisingly, this code emerges in CNNs without memory, trained only to classify objects.https://twitter.com/VisualMemoryLab/status/1090941099500290049 …
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Favorite artist of the new year so far
https://www.discogs.com/artist/1707199-Humpback-Whale …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Drew Jaegle proslijedio/la je Tweet
Very happy to share our latest work accepted at
#ICRL2020: we prove that a Self-Attention layer can express any CNN layer. 1/5
Paper: https://openreview.net/pdf?id=HJlnC1rKPB …
Interactive website : https://epfml.github.io/attention-cnn/
Code: https://github.com/epfml/attention-cnn …
Blog: http://jbcordonnier.com/posts/attention-cnn/ …pic.twitter.com/X1rNS1JvPtPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This is fun: an academic whose medium for scholarly book reviews is Amazon
.
He's the single greatest influence on my purchasing choices in evolutionary biology texts and printer cartridges so far this yearpic.twitter.com/MV2ayK01NQ
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Promising work tackling the cross-domain prediction problem at the heart of observational learning of behavior! I'm very happy to see our work on learning how to act from observations (http://arxiv.org/abs/1806.09655 ; w/
@_oleh,@KarlPertsch,@CSProfKGD,@KostasPenn) pushed in this way.https://twitter.com/chelseabfinn/status/1212578725130207233 …
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Very nice conversation between
@VisualMemoryLab and@pgmid on the work we did during my postdoc! Listen in to learn why we find some images memorable
and how this computation can drive intelligent behavior in artificial systems
https://twitter.com/VisualMemoryLab/status/1213121288362954752 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Drew Jaegle proslijedio/la je Tweet
Submissions for our workshop on "Bridging AI and Cognitive Science" at
#ICLR2020 are now open! Submit your recent work, work in progress, or controversial opinions at the intersection of AI and cognitive science. https://baicsworkshop.github.io/ https://twitter.com/jhamrick/status/1206591213522042881 …
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If you're tempted to retweet some particular slice of the
#ICLR2020 acceptance stats you happen to find meaningful: in so doing you're almost certainly amplifying meaningless noise and needlessly increasing pressure on junior researchers.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
An intriguing perspective from
@seanmcarroll on the adverse effects of institutional dogma on the state of the measurement problem. Understanding considered harmful?https://www.nytimes.com/2019/09/07/opinion/sunday/quantum-physics.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Drew Jaegle proslijedio/la je Tweet
We're pleased to let you know that your submission, On Bonus Based Exploration Methods In The Arcade Learning Environment, has been accepted at
#ICLR2020! https://openreview.net/forum?id=BJewlyStDr … This huge endeavor was led by@aalitaiga. W/@LiamFedus,@marcgbellemare &@AaronCourville. More
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Drew Jaegle proslijedio/la je Tweet
Come chat with us about equivariant Hamiltonian flows at the Machine Learning and the Physical Sciences workshop! Also come for the talk later today :)pic.twitter.com/NFv6Ir8JVL
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Drew Jaegle proslijedio/la je Tweet
Looking for something to read in your flight to
#NeurIPS2019? Read about Normalizing Flows from our extensive review paper (also with new insights on how to think about and derive new flows) https://arxiv.org/abs/1912.02762 with@gpapamak@eric_nalisnick@DeepSpiker@balajiln@shakir_zapic.twitter.com/EWh8Aui7n0
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This is why we killed Applebee's, folkshttps://twitter.com/iamreddave/status/1201608207967412224 …
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Drew Jaegle proslijedio/la je Tweet
Excited to share our work on Contrastive Learning of Structured World Models! C-SWMs learn object-factorized models & discover objects without supervision, using a simple loss inspired by work on graph embeddings Paper: http://arxiv.org/abs/1911.12247 Code: https://github.com/tkipf/c-swm 1/5pic.twitter.com/2n38bhOaKc
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Drew Jaegle proslijedio/la je Tweet
The Interface Theory of Perception h/t
@sina_lana pdf: https://link.springer.com/article/10.3758/s13423-015-0890-8 …pic.twitter.com/2mI5M2C29J
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Drew Jaegle proslijedio/la je Tweet
We beta-released the IKEA Furniture Assembly environment for solving long-term manipulation tasks with high-quality rendering. * 80+ furniture models * Multiple robots * Various observations * Supports OpenAI gym Try it out and let us know what you think! https://clvrai.com/furniture pic.twitter.com/1id4EWeqzu
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Drew Jaegle proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Drew Jaegle proslijedio/la je Tweet
Fellow
@iclr_conf ACs: the discussion period ends this Friday. It's YOUR JOB to ensure the review process is fair and bad reviews (even written w/ good intentions) come out in the wash. If you can't hold reviewers to account, there is no point in pretending peer review matters.https://twitter.com/roydanroy/status/1194693109864697856 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Assassin's Creed: Late Capitalismhttps://twitter.com/crozSciTech/status/1195098832461152256 …
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Drew Jaegle proslijedio/la je Tweet
Umm. Bill Gates... doesn't say what's widely claimed on Twitter. I'm not a fan. I think Microsoft happened because of its monopoly position that it *still* benefits from. But he's clearly saying he'll vote Warren if the nominee despite thinking wealth tax will be huge for him.https://twitter.com/CNBC/status/1192438094177456129 …
3:14Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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