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Check out our ICLR 20 paper on the SPACE model for unsupervised object-oriented scene representation. Enjoy the following gifs to see it nicely working on some Atari games. Project page: http://shorturl.at/lPUWX Paper: http://shorturl.at/tDGQV
#model_based_rl#generative_modelspic.twitter.com/a4NmITApHrPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sungjin Ahn proslijedio/la je Tweet
Update: we have extended the deadline to submit to "Bridging AI and Cognitive Science" at
#iclr2020 until Feb. 11th, to avoid conflicts with ICML. Enjoy a few extra days to work on your submissions!
https://twitter.com/jhamrick/status/1206591213522042881 …
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Sungjin Ahn proslijedio/la je Tweet
Please help me spread the word to all the job seekers out there: we are hiring a new tenure-track Assistant Professor in Systems Neuroscience! https://jobs.rutgers.edu/postings/109849 pic.twitter.com/rACIhb8udM
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Sungjin Ahn 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 -
Correct link to the paper: https://openreview.net/pdf?id=rkl03ySYDH …
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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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Sungjin Ahn proslijedio/la je Tweet
Some folks still seem confused about what deep learning is. Here is a definition: DL is constructing networks of parameterized functional modules & training them from examples using gradient-based optimization.... https://www.facebook.com/722677142/posts/10156463919392143/ …
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Sequential Neural Processes (SNP) code released!https://twitter.com/jaesik817_2/status/1208932539915591680 …
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I think human is still way better than AI in playing Go (and most of the other areas where AI excels against humans) if we consider the energy efficiency. Winning a human player by using the same energy that brain uses should be the next big thing.
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Sungjin Ahn proslijedio/la je Tweet
Are you working at the intersection of cogsci, neuro and AI? Want a chance to meet and discuss with others working at this intersection? Then submit something to our workshop on "Bridging AI and Cognitive Science" at
#ICLR2020! Deadline is Feb. 5th https://baicsworkshop.github.io/ pic.twitter.com/5clK7VrebgHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Our last poster this evening! #151 Variational Temporal Abstraction for Jumpy Imagination Agent!pic.twitter.com/DniKELWS1P
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Visit our paper on "Neural Multisensory 3D Scene Inference"! This morning, East Exhibition Hall B + C #116pic.twitter.com/stpv523rsA
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I totally agree with Yoshua’s perspective on the attitude facing the limitations of *current* deep learning. It’s not a frustration at all but an exciting opportunity to make DL even stronger!https://twitter.com/ylecun/status/1204709786945753089 …
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Sungjin Ahn proslijedio/la je Tweet
Cool - all the
@CogCompNeuro talks are online. You can see me umming and aahing for Britain and@neuro_kim killing it for the US amongst a fabulous set of other talks. Great resource.https://twitter.com/sweichwald/status/1204488967078502400 …
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Our spotlight presentation on Sequential Neural Processes is soon to be in West Ballroom C at 10:35 AMpic.twitter.com/PMiw7l2clE
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Everyone seems to be in Vancouver this week. I'll be too
. Let's catch up! Our papers will be presented:
1. Tue 10:35-10:40 AM: Sequential Neural Process
2. Wed 10:45-12:45 PM: Neural Multisensory Scene Inference
3. Wed 5:00-7:00 PM: Variational Temporal AbstractionHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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