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Prikvačeni tweet
I'm very happy to announce that we have received the
#ICML2019 Best Paper Award!https://twitter.com/OlivierBachem/status/1138477405134237696 …
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Mario Lucic 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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Mario Lucic proslijedio/la je Tweet
We distill key components for pre-training representations at scale: BigTransfer ("BiT") achieves SOTA on many benchmarks with ResNet, e.g. 87.8% top-1 on ImageNet (86.4% with only 25 images/class) and 99.3% on CIFAR-10 (97.6% with only 10 images/class). http://arxiv.org/abs/1912.11370 pic.twitter.com/bQULupLQzi
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Our work which critically investigates the role of mutual information in self-supervised representation learning was accepted to
#ICLR2020. http://openreview.net/forum?id=rkxoh24FPH … w/@mtschannen J. Djolonga@PaulKRubenstein@sylvain_gelly@GoogleAIpic.twitter.com/PFexJS56vT
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Mario Lucic proslijedio/la je Tweet
We have just launched the AutoTrain challenge at
@appliedmldays Submit an optimizer achieving target test performance on a wide variety of (unknown) models/tasks without human tweaking
Get started here: http://epfml.github.io/autoTrain/ https://twitter.com/fpedregosa/status/1204247422982950912 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Mario Lucic proslijedio/la je Tweet
Refreshingly honest take on hype cycle around the Neural ODE paper by one of authors presented this year at
#NeurIPS2019, which won a best paper award at#NeurIPS2018 last year. Video: https://www.youtube.com/watch?v=YZ-_E7A3V2w …pic.twitter.com/Reuv7G9TOq
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It was great collaborating with you Paul, happy to hear you had a great time!https://twitter.com/googlestudents/status/1205547509419925504 …
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Mario Lucic proslijedio/la je Tweet
An update of our paper investigating object compositionality in GANs is now available: https://arxiv.org/abs/1810.10340 We show how a structured generator that learns about objects can facilitate unsupervised instance segmentation. w/
@karol_kurach@SchmidhuberAI@sylvain_gelly 1/4pic.twitter.com/S5qlVQ8jZx
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In our recent collaboration with
@berkeley_ai we show how to generate realistic complex scenes from scratch! While the problem is extremely challenging, we show how to achieve SOTA in unconditional generation and improve conditional generation using SPADE http://arxiv.org/pdf/1911.11357.pdf …pic.twitter.com/fVXkEvMdkt
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Mario Lucic proslijedio/la je Tweet
We have open postdoctoral fellowship positions in the Foundations of Data Science program at
@ETH_en. https://math.ethz.ch/sfs/eth-foundations-of-data-science/postdoctoral-positions.html …@CSatETHHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Mario Lucic proslijedio/la je Tweet
We are happy to announce the v2.0 release of the Google Research Football Environment. The most exciting feature of this release is the Game Server, which lets your agent compete online with other researchers' models. Visit https://research-football.dev and give it a try!https://twitter.com/GoogleAI/status/1137058715129925632 …
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Mario Lucic proslijedio/la je Tweet
Google AI Residency 2020 applications are open, with positions in many different locations including Europe and Africa. A fantastic program designed to jumpstart a career in Machine Learning. Apply at http://g.co/airesidency/apply … before Dec. 19, 2019.
#AIResidency@GoogleAIHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Mario Lucic proslijedio/la je Tweet
We've looked into representation learning for
#RemoteSensing with different datasets and fine-tuning using in-domain data. See paper with datasets and models included
: https://arxiv.org/abs/1911.06721 with @ASusanoPinto,@XiaohuaZhai and@neilhoulsby.pic.twitter.com/r7b4xuuDcZ
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Mario Lucic proslijedio/la je Tweet
Already tackling some of the deep questions in AI ethics. This symposium is off a great start!https://twitter.com/FlorencePoirel/status/1194906296199327744 …
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Mario Lucic proslijedio/la je Tweet
We’re pleased to release the Visual Task Adaptation Benchmark (VTAB), a diverse, realistic, and challenging protocol to measure progress towards universal visual representations. Learn all about it below.https://goo.gle/2Noutb9
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Mario Lucic proslijedio/la je Tweet
The Visual Task Adaptation Benchmark https://youtu.be/ctCv_NRpqvM
@XiaohuaZhai@joapuipe@__kolesnikov__@rikelhood@MarioLucic_@ASusanoPinto@giffmana@OlivierBachem@mtschannen@obousquet@sylvain_gelly@neilhoulsbyHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Mario Lucic proslijedio/la je Tweet
Excited that our paper "Are Disentangled Representations Helpful for Abstract Visual Reasoning?" (https://arxiv.org/abs/1905.12506 ) is accepted to
#NeurIPS2019 with code released at https://github.com/google-research/disentanglement_lib#abstract-reasoning-experiments …. With@vansteenkiste_s,@FrancescoLocat8 &@SchmidhuberAI.pic.twitter.com/De5I82IPqb
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Mario Lucic proslijedio/la je Tweet
At ICCV and curious about semi-supervised learning with self-supervision? Come to our talk today at 15:20 in Hall D1 or chat with us at poster #20 from 15:30 to 18:00. https://arxiv.org/abs/1905.03670 , Code: https://github.com/google-research/s4l …. Joint work with
@XiaohuaZhai@avitaloliver and@giffmanaHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
How hard is it to learn a representation that transfers to ~20 downstream tasks in the small sample size regime? This paper evaluates the performance of generative (GANs, VAEs), self-supervised, as well as fully supervised models and their hybrids.https://twitter.com/neilhoulsby/status/1184783549053968385 …
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Mario Lucic proslijedio/la je Tweet
ETH Zurich has an open faculty position in Machine Learning. Please spread the word!https://ethz.ch/en/the-eth-zurich/working-teaching-and-research/faculty-affairs/ausgeschriebene-professuren/ingenieurwissenschaften/APTT_ComputerScience_DataScience.html …
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Mario Lucic proslijedio/la je Tweet
I am looking for a postdoc in the general area of
#ReinforcementLearning (RL), including#DeepLearning RL, inverse RL, and imitation learning. prior publications in the topic are needed. Start date is negotiable but early next year is the target. please retweet.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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