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With 352 P100 GPUs, this implementation on ResNet-50 does one pass of all 1.28M ImageNet images in ~30 seconds
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Low-shot learning with large-scale diffusion https://arxiv.org/abs/1706.02332 When
@hjegou et al. use "large-scale", they really mean it: 100M imagesThanks. Twitter will use this to make your timeline better. Undo -
Currently, there are no downsides for flag-planting, only potential benefits. They should involve risk/responsibility to face such critics.https://twitter.com/yoavgo/status/872968874521702400 …
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So in the end Softbank will be buying Boston Dynamics. Looking forward to see the Japanese touch in their robotshttps://techcrunch.com/2017/06/08/softbank-is-buying-robotics-firm-boston-dynamics-and-schaft-from-alphabet/ …
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Training with mini-batches of 8192 images. Wowowow!https://twitter.com/karpathy/status/872881195746447360 …
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See, Hear, and Read: what happens when you align vision, sound and text modalities http://carlvondrick.com/see-hear-read/ Nice work by
@cvondrick et al.Thanks. Twitter will use this to make your timeline better. Undo -
And the magsafe ...https://twitter.com/mattmight/status/871872534097965056 …
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Andrei Bursuc Retweeted
Actual footage of my advisor vs me trying to get a jobpic.twitter.com/MEdyyKTchp
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Andrei Bursuc Retweeted
The CfP for our Video Games and Machine Learning workshop at ICML2017 has arrived https://syhw.github.io/vgml_workshop_icml2017 … (cc
@togelius@OriolVinyalsML)Thanks. Twitter will use this to make your timeline better. Undo -
Inside-out tutorial and visualization of LSTMs http://blog.echen.me/2017/05/30/exploring-lstms/ … http://blog.echen.me/lstm-explorer/#/gallery …
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Andrei Bursuc Retweeted
I think it’s time to coin the term “Artificial Artificial Intelligence” for products that claim to use ML but really don’t.
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Check out also this related work Unsupervised monocular depth estimation with left-right consistency http://visual.cs.ucl.ac.uk/pubs/monoDepth/
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... brought to you by Zhu, Brown, Snavely and Lowe. Results are quite impressive: https://www.youtube.com/watch?v=UTlpYilJgrk …https://www.youtube.com/watch?v=RTFatijYcaU …
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Unsupervised/self-supervised learning from video sequences for monocular depth and camera motion estimation https://people.eecs.berkeley.edu/~tinghuiz/projects/SfMLearner/ …
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A tour of PyTorch internals https://gist.github.com/killeent/4675635b40b61a45cac2f95a285ce3c0 …
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Andrei Bursuc Retweeted
Multilingual word vectors in 78 languageshttps://github.com/Babylonpartners/fastText_multilingual …
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Andrei Bursuc Retweeted
Hilarious new post from
@fhuszar "Everything that Works Works Because it's Bayesian: Why Deep Nets Generalize?" http://www.inference.vc/everything-that-works-works-because-its-bayesian-2/ …pic.twitter.com/8TNAHasWpF
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Andrei Bursuc Retweeted
My first paper at DeepMind: What can be learnt by looking at and listening to a large amount of unlabelled videos? https://arxiv.org/abs/1705.08168 pic.twitter.com/ADz1ds3JBi
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Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset + a zoo of proposed and evaluated architectures https://arxiv.org/abs/1705.07750
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This is a useful reminder for reviewers from the
#BMVC2017 program chairsThanks. Twitter will use this to make your timeline better. Undo
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