মিডিয়া
- টুইট
- টুইট এবং উত্তর
- মিডিয়া, বর্তমান পৃষ্ঠা।
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Alyosha Efros on “reasons to love GANs” at the
#CVPR2018 tutorial on GANspic.twitter.com/T5TCv990yy
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Carl Vondrick on video generation at the
#CVPR2018 GAN tutorialpic.twitter.com/f0loDB3FFi
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I'll present a talk called "Defense Against the Dark Arts" summarizing the state of the art and key research challenges for defenses against adversarial examples. Room 259, 1:30 PM. http://www.iangoodfellow.com/slides/2018-06-22-cv-cops.pdf …pic.twitter.com/7b4QBL4uKH
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Sanjeev Arora on the theory of finite GANs at the
#CVPR2018 tutorialpic.twitter.com/EoizPf3KsK
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Taesung Park on CycleGAN at the
#CVPR2018 GAN tutorialpic.twitter.com/2waN6cjeod
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Jun-Yan Zhu teaches how to do unsupervised image to image translation at the
#CVPR2018 tutorial on GANspic.twitter.com/Ye7ltvnn7C
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Phillip Isola on pix2pix at
#CVPR2018 GAN tutorialpic.twitter.com/4zbHrDFbxZ
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#CVPR2018 Check out the all-day tutorial on GANs tomorrow: https://sites.google.com/corp/view/cvpr2018tutorialongans/ … I'll speak at 9AM giving an introduction to GANs. Many great speakers throughout the day!pic.twitter.com/LJnIFarpSC
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#CVPR2018 I will teach an Introduction to GANs at 8:45 AM in Room 150-ABC at the Perception Beyond the Visible Spectrum workshop. Slides available at http://www.iangoodfellow.com/slides/ pic.twitter.com/CXAsjVLzUL
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We've known since at least 2014 that for robust models, adversarial examples with large epsilon are meaningful examples of the target class since "Explaining and Harnessing Adversarial Examples". Here's one of my slides from 2015 where we interpolated to all 10 MNIST classes.pic.twitter.com/1M0Emc7DmB
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Two years of GAN progress on class-conditional ImageNet-128pic.twitter.com/wkkOs7nRfb
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I'm speaking at the 1st Deep Learning and Security workshop (co-located with
@IEEESSP ) at 1:30 today: https://www.ieee-security.org/TC/SPW2018/DLS/ I'll discuss research into defenses against adversarial examples, including future directions. Slides and lecture notes here: http://www.iangoodfellow.com/slides/2018-05-24-DLS-notes.pdf …pic.twitter.com/DQzLdQX2Eu
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This paper shows how to make adversarial examples with GANs. No need for a norm ball constraint. They look unperturbed to a human observer but break a model trained to resist large perturbations. https://arxiv.org/pdf/1805.07894.pdf …pic.twitter.com/CZEEd3Ssjj
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GANs can be used to automatically design dental crowns, that are then actually manufactured and used in the physical world. Crowns need to be made specifically for each patient and need to fit correctly with the other teeth and support biting and chewing. https://arxiv.org/abs/1804.00064 pic.twitter.com/45KVwSO800
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If you will attend
#CVPR2018 , check out the tutorial on GANs: https://sites.google.com/corp/view/cvpr2018tutorialongans/ … (organized by@junyanz89, Taesung Park,@elaClaudia ,@phillip_isola and me)pic.twitter.com/dsVU6TDz2B
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How do you tell what's an "abstract image" and a "real object" though? People are divided about what's happening in this examplepic.twitter.com/GBGuAdlzr4
লোড হতে বেশ কিছুক্ষণ সময় নিচ্ছে।
টুইটার তার ক্ষমতার বাইরে চলে গেছে বা কোনো সাময়িক সমস্যার সম্মুখীন হয়েছে আবার চেষ্টা করুন বা আরও তথ্যের জন্য টুইটারের স্থিতি দেখুন।