#StyleGAN trained on art perfomance.

#GAN
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"I'm very proud to share our first paper Learnable Triangulation of Human Pose. We smashed previous state of the art (by ~2.5x) in multi-view 3D human pose estimation. Like, share, cite!"
saic-violet.github.io/learnable-triangulation
arxiv.org/abs/1905.05754

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I'd like to present our new paper with Yandex.Weather! We are pioneers in using a combination of satellite images, radar shots and neural networks for real-time rain forecast. Check out our video for more details!
youtu.be/9zd3VR-prYU
yandex.com/weather/nowcast
arxiv.org/abs/1905.09932

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T-shirt to inject junk data into surveillance systems. Stylish tool for peaceful protest against state human tracking
adversarialfashion.com

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#notuseful
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Looks like #google started fighting automatic #captcha recognition systems with adding noise to the images.
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Source: https://xkcd.com/2117/
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Efficient multi-lingual language model fine-tuning

Most of the worlds text is not in English. To enable researchers and practitioners to build impactful solutions in their domains, understanding how our NLP architectures fare in many languages needs to be more than an afterthought.
In this post, we introduce our latest paper that studies multilingual text classification and introduces #MultiFiT, a novel method based on #ULMFiT.

MultiFiT, trained on 100 labeled documents in the target language, outperforms multi-lingual BERT. It also outperforms the cutting-edge LASER algorithm-even though LASER requires a corpus of parallel texts, and MultiFiT does not.

Post: http://nlp.fast.ai/classification/2019/09/10/multifit.html
Paper: https://arxiv.org/abs/1909.04761
Tweet: https://twitter.com/seb_ruder/status/1186744388908654597?s=20

#NLP #DL #FineTuning
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FaceBoxes: A CPU Real-time Face Detector with High Accuracy. http://arxiv.org/abs/1708.05234
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Best paper at #KDD2017 idea: Android malware detection using API call relationships in a Machine-Learned system http://goo.gl/G7hGfC
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Best paper at #KDD2017 idea: Android malware detection using API call relationships in a Machine-Learned system http://goo.gl/G7hGfC
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