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Alexandros proslijedio/la je Tweet
Machine Learning Summer School 2020 is in Tuebingen, Germany! Please apply. Deadline: 11 Feb 2020. http://mlss.tuebingen.mpg.de/2020
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Alexandros proslijedio/la je Tweet
ML Fairness Gym is a set of components for building simple simulations that explore the potential long-run impacts of deploying machine learning-based decision systems in social environments, based on OpenAI Gym interface.https://github.com/google/ml-fairness-gym …
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Alexandros proslijedio/la je Tweet
Open-domain conversation is an extremely difficult task for ML systems. Meena is a research effort at
@GoogleAI in this area. It's challenging, but we are making progress towards more fluent and sensible conversations. Nice work, Daniel,@lmthang & everyone involved! https://twitter.com/GoogleAI/status/1222230622355087360 …pic.twitter.com/vjkXoSUHf3
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Alexandros proslijedio/la je Tweet
Dec report in
@nature about global multi-site conference on circadian rhythms, with strong evaluation component.@MarthaMerrow: "huge opportunity to think innovatively about how scientific discussions take place." HT reminder recently from@TheEnergyMix.https://www.nature.com/articles/d41586-019-03899-1 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Alexandros proslijedio/la je Tweet
We are happy to announce that the WSDM 2020 proceedings are now online: http://www.wsdm-conference.org/2020/acm-proceedings.php … Take a look! And there's still time to register for the conference!
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Alexandros proslijedio/la je Tweet
Today gave a talk at Google Research Berlin about our Transformer analysis work. Met a lot of great people and feel totally happy :) Want to know details? Here are the blog posts: The Story of Heads: https://lena-voita.github.io/posts/acl19_heads.html …, Evolution of Representations: https://lena-voita.github.io/posts/emnlp19_evolution.html …pic.twitter.com/x3EDsrUkjZ
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Alexandros proslijedio/la je Tweet
This is a terrible take. It totally misses the key point:
@arxiv_org handles >10k submissions and >25m downloads per month at a cost of only $1.3m /year.@IEEEorg spends $193m (!) on publications, and@TheOfficialACM spends $33.7m. Something stinks.https://sigchi.org/2020/01/sigchi-open-access/ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Alexandros proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Alexandros proslijedio/la je Tweet
Flax: A neural network library for JAX designed for flexibility (pre-release) https://github.com/google-research/flax/tree/prerelease …pic.twitter.com/MtUnse784E
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Alexandros proslijedio/la je Tweet
We used JAX for competitive gradient descent (CGD) with Hessian-vector products. Mixed mode differentiation in JAX makes this efficient (just twice cost of backprop). We used CGD for training GANs and for constrained problems in RL. This library will be very useful
@pierreluxhttps://twitter.com/hardmaru/status/1219088493583880192 …
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Alexandros proslijedio/la je Tweet
Massively parallel MCMC with JAX https://rlouf.github.io/post/jax-random-walk-metropolis/ …https://twitter.com/remilouf/status/1215740986195922944 …
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Alexandros proslijedio/la je Tweet
Damn. Wildfires burn their way to the coast in Victoria, Australia. The deep truth of this picture is that those forests will likely never be the same, and those beaches will be swallowed by rising seas before the end of the century. Img: Australian Maritime Safety Authoritypic.twitter.com/NwZGBaSG2Y
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Alexandros proslijedio/la je Tweet
I liked the LSH attention in the reformer https://openreview.net/forum?id=rkgNKkHtvB … Sparse, efficient, simple Dynamic sparse attn is fascinating & mostly dealt by – softmax+topK: Recurrent Independent Mech. (MILA) Product-Key Mem (FB) – 𝛂-entmax: Adap. Sparse Transformer (DeepSPIN) links
[1/3]pic.twitter.com/T5fxHdIktv
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Alexandros proslijedio/la je Tweet
I want to give some perspective for people not from Australia. More Aussie land is currently burning than exists in the entire country of Belgium. The smoke is causing breathing problems in New Zealand, 2,000km away. Half a billion animals have been killed. Eight people are dead.
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Alexandros proslijedio/la je Tweet
Can robots learn about the world by observing humans? Learn to predict with both interaction & observation (of humans), then use the model to accomplish goals. http://arxiv.org/abs/1912.12773 http://sites.google.com/view/lpmfoai w. Schmeckpeper
@GRASPlab, Xie,@_oleh, Tian,@KostasPenn,@svlevinepic.twitter.com/2EeW02Dmy8Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Alexandros proslijedio/la je Tweet
Looking for a postdoc to work on topics in fairness+bandit+RL, as part of my research group at IEOR and DSI at Columbia. If interested, send me your CV with a list of three references, and any additional information. Feel free to DM. Please retweet. Be a matchmaker!
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Alexandros proslijedio/la je Tweet
Spectacular! Zooming out of the sharpest ever view of the Andromeda Galaxy, showing more than 100 million stars! Credit: NASA/ESApic.twitter.com/4PUXbEIX9b
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Alexandros proslijedio/la je Tweet
Yes! I got my first big conference paper accepted at ICLR, with spotlight! We improve the previous DeepMind paper "NALU" by 3x-20x. – This took 7-8 months, working without any funding as an independent researcher. Paper: https://openreview.net/forum?id=H1gNOeHKPS … Code: https://github.com/AndreasMadsen/stable-nalu …pic.twitter.com/7tBivzbyir
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Alexandros proslijedio/la je Tweet
Based on preliminary analysis, yesterday, Australia recorded its hottest day on record. The nationally-averaged maximum daytime temp was 41.9 °C exceeding the record set on Tuesday, 40.9 ºC. You can view the top ten highest daily maximum temps here: http://ow.ly/Jg3f50xDRyv pic.twitter.com/DRDK9LAvrg
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Alexandros proslijedio/la je Tweet
Want to catch up on some latest Deep RL work? Here is a zip file with all the camera-ready papers from the
#NeurIPS2019 Deep RL Workshop!https://drive.google.com/open?id=1xdf3ia2VocviPR0q1uwH49h33bVVlNmp …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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I benchmarked the Random Walk Metropolis algorithm with Numpy, JAX and Tensorflow Probability.