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Prikvačeni tweet
VQVAE-2 finally out! Powerful autoregressive models in a hierarchical compressed latent space. No modes were collapsed in the creation of these samples ;) Arixv: http://arxiv.org/abs/1906.00446 With
@catamorphist and@vinyals More samples and details
[thread]pic.twitter.com/aIg6sk6aZtPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Unsupervised pre-training now outperforms supervised learning on ImageNet for any data regime (see figure) and also for transfer learning to Pascal VOC object detection https://arxiv.org/abs/1905.09272v2 …pic.twitter.com/cciL5Db73x
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Aäron van den Oord proslijedio/la je Tweet
> "AI works like the brain!" Ahh, yes, I fondly remember my intro to linguistics class, wherein I read all of English wikipedia thousands of times until convergence, and then could finally construct better-than-random parse trees.
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Aäron van den Oord proslijedio/la je Tweet
Come hear how to train the Cake at our workshop on Self-Supervised Learning today at ICML: https://sites.google.com/corp/view/self-supervised-icml2019 … Lineup: Jacob Devlin, Alison Gopnik,
@coreylynch,@DanHendrycks,@chelseabfinn,@ylecun,@__kolesnikov__, Olivier Henaff A Zisserman, Abhinav Gupta, Alyosha Efros.pic.twitter.com/ybnXybBpWl
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More samples and full high-res uncompressed images can be found here [70M]: https://drive.google.com/file/d/1H2nr_Cu7OK18tRemsWn_6o5DGMNYentM/view?usp=sharing …pic.twitter.com/8W67twQice
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For megapixel faces (1024x1024) we use a three-stage VQVAE model.pic.twitter.com/99JXXJUCwx
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We found the diversity of these samples to be much higher than competing adversarial methods.pic.twitter.com/S51rTC0mnR
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We use a hierarchical VQVAE which compresses images into a latent space which is about 50x smaller for ImageNet and 200x smaller for FFHQ Faces. The PixelCNN only models the latents, allowing it to spend its capacity on the global structure and most perceivable features.pic.twitter.com/pgcPVryfRs
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Aäron van den Oord proslijedio/la je Tweet
Deep learning has so far relied on massive amounts of supervision. We show that unsupervised representation learning with Contrastive Predictive Coding greatly improves data-efficiency: http://arxiv.org/abs/1905.09272 By
@olivierhenaff@catamorphist@CarlDoersch@arkitus and@avdnoordpic.twitter.com/YN0fJ0gZn1
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With Olivier Henaff,
@catamorphist,@CarlDoersch and@arkitus.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Excited to share our latest results on Contrastive Predictive Coding! -A linear classifier on CPC features yield 61% ACC, outperforming the original AlexNet result with unsupervised learning. -New state of the art in semi-supervised learning w 1% labels. https://arxiv.org/abs/1905.09272 pic.twitter.com/01pWjkTxsW
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Note that the deadline for the self-supervised learning workshop has been extended to May 6! Plenty of time to write up your work in a 4-page abstract :) https://sites.google.com/corp/view/self-supervised-icml2019 …https://twitter.com/avdnoord/status/1119152109541191680 …
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The
#ICML2019 Self-Supervised Learning workshop submission deadline is next Thursday (25/04)! Consider submitting an extended abstract (4 pages) of your latest work. Work under review for other conferences welcome.https://sites.google.com/corp/view/self-supervised-icml2019 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Aäron van den Oord proslijedio/la je Tweet
We released a new large-scale corpus of English speech derived for TTS; LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech Dataset: http://www.openslr.org/60/ Paper: http://arxiv.org/abs/1904.02882
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Excited to announce our
#ICML2019 Workshop on Self-Supervised Learning! Covering- Vision, NLP, Audio, Robotics, RL ... https://sites.google.com/view/self-supervised-icml2019 … Submissions now open - deadline April 25! Speakers:@ylecun,@chelseabfinn, Andrew Zisserman, Alexei Efros, Jacob Devlin, Abhinav Guptapic.twitter.com/6Ov1deoHAR
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How to generate high-quality speech from a new speaker in 5-10 minutes with few-shot meta-learning. Check out the samples here: …https://sample-efficient-adaptive-tts.github.io/demo/ Arxiv: https://arxiv.org/pdf/1809.10460.pdf …https://twitter.com/iassael/status/1084847040188817409 …
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Aäron van den Oord proslijedio/la je Tweet
Starting today in the U.S., say g’day and cheerio to your
#GoogleAssistant, now able to speak with an Australian and British accent → http://goo.gl/wXNeYi pic.twitter.com/HSMMT1PrrRHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Aäron van den Oord proslijedio/la je Tweet
Interested in deep learning, mutual information, and variational bounds? Come check out my poster w/
@sherjilozair@avdnoord@alemi and@georgejtucker at 17:30 in the#NeurIPS2018 Bayesian Deep Learning workshop!pic.twitter.com/DSRp4C9Ng5
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