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best papers at #icml2017 #icml2017
#ICML2017 #best #paper award "Understanding Black-box Predictions via Influence Functions," Pang Wei Koh, Percy Liang: https://arxiv.org/abs/1703.04730 https://t.me/ArtificialIntelligenceArticles
(https://attach.fahares.com/E0nmRIVhqv3vktONyd2wuw==)
#paper
Deep Learning From Human Preferences
http://goo.gl/6AgdAP
The paper "Deep Reinforcement Learning from Human Preferences" is available here:
https://arxiv.org/pdf/1706.03741.pdf
#deeplearning #ai
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#paper
Deep Learning From Human Preferences
http://goo.gl/6AgdAP
The paper "Deep Reinforcement Learning from Human Preferences" is available here:
https://arxiv.org/pdf/1706.03741.pdf
#deeplearning #ai
https://t.me/ArtificialIntelligenceArticles
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#paper
#ICCV2017 Makeup-Go: Reverse your beauty filter and remove your photo shop effects. Nightmare for Instagram influencers? Image is decomposed first, sub-networks learns residual for each component and then combine the results back http://openaccess.thecvf.com/content_iccv_2017/html/Chen_Makeup-Go_Blind_Reversion_ICCV_2017_paper.html
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#paper
#ICCV2017 Makeup-Go: Reverse your beauty filter and remove your photo shop effects. Nightmare for Instagram influencers? Image is decomposed first, sub-networks learns residual for each component and then combine the results back http://openaccess.thecvf.com/content_iccv_2017/html/Chen_Makeup-Go_Blind_Reversion_ICCV_2017_paper.html
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مقاله ی جدید Andrew Y. Ng :
Deep Learning for pneumonia detection from chest x-rays
محققان دانشگاه استنفورد یک الگوریتم یادگیری عمیق که قفسه سینه اشعه X برای نشانه های بیماری ارزیابی می کرد را توسعه داده اند. در طول یک ماه توسعه، الگوریتم آنها در تشخیص پنومونی بهتر از متخصص رادیولوژیست بود.(ترجمه گوگل )
Stanford researchers have developed a deep learning algorithm that evaluates chest X-rays for signs of disease. In just over a month of development, their algorithm outperformed expert radiologists at diagnosing pneumonia.
Andrew Y. Ng :
Should radiologists be worried about their jobs? Breaking news: We can now diagnose pneumonia from chest X-rays better than radiologists.
آیا رادیولوژیست ها در مورد شغل خود نگران هستند؟ ما اکنون می توانیم پنومونی را از اشعه X را از قفسه سینه بهتر از رادیولوژیست ها تشخیص دهیم.(ترجمه گوگل)
#paper :
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
https://arxiv.org/abs/1711.05225
or
https://stanfordmlgroup.github.io/projects/chexnet/
news : https://news.stanford.edu/2017/11/15/algorithm-outperforms-radiologists-diagnosing-pneumonia/
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مقاله ی جدید Andrew Y. Ng :
Deep Learning for pneumonia detection from chest x-rays
محققان دانشگاه استنفورد یک الگوریتم یادگیری عمیق که قفسه سینه اشعه X برای نشانه های بیماری ارزیابی می کرد را توسعه داده اند. در طول یک ماه توسعه، الگوریتم آنها در تشخیص پنومونی بهتر از متخصص رادیولوژیست بود.(ترجمه گوگل )
Stanford researchers have developed a deep learning algorithm that evaluates chest X-rays for signs of disease. In just over a month of development, their algorithm outperformed expert radiologists at diagnosing pneumonia.
Andrew Y. Ng :
Should radiologists be worried about their jobs? Breaking news: We can now diagnose pneumonia from chest X-rays better than radiologists.
آیا رادیولوژیست ها در مورد شغل خود نگران هستند؟ ما اکنون می توانیم پنومونی را از اشعه X را از قفسه سینه بهتر از رادیولوژیست ها تشخیص دهیم.(ترجمه گوگل)
#paper :
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
https://arxiv.org/abs/1711.05225
or
https://stanfordmlgroup.github.io/projects/chexnet/
news : https://news.stanford.edu/2017/11/15/algorithm-outperforms-radiologists-diagnosing-pneumonia/
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The proceedings of #icml2018 are now online
#paper
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#paper
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