Deep learning

Results: 859



#Item
31An End-to-End Goal-Oriented Dialog System with a Generative Natural Language Response Generation Stefan Constantin, Jan Niehues, and Alex Waibel  Abstract Recently advancements in deep learning allowed the development of

An End-to-End Goal-Oriented Dialog System with a Generative Natural Language Response Generation Stefan Constantin, Jan Niehues, and Alex Waibel Abstract Recently advancements in deep learning allowed the development of

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Source URL: www.colips.org

Language: English - Date: 2018-04-25 22:28:05
    32Journal of Machine Learning ResearchSubmitted 12/07; Revised 9/08; Published 1/09 Exploring Strategies for Training Deep Neural Networks Hugo Larochelle

    Journal of Machine Learning ResearchSubmitted 12/07; Revised 9/08; Published 1/09 Exploring Strategies for Training Deep Neural Networks Hugo Larochelle

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    Source URL: info.usherbrooke.ca

    Language: English - Date: 2011-08-01 11:07:13
      33ICFHR 2018 Schedule Sunday (Aug 5) 8:00am 8:00 Registration 9:00 9:00 Tutorial  Nvidia Deep Learning

      ICFHR 2018 Schedule Sunday (Aug 5) 8:00am 8:00 Registration 9:00 9:00 Tutorial Nvidia Deep Learning

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      Source URL: icfhr2018.org

      Language: English
        34Deep Learning for Emotion Recognition on Small Datasets Using Transfer Learning Hong-Wei Ng, Viet Dung Nguyen, Vassilios Vonikakis, Stefan Winkler Advanced Digital Sciences Center (ADSC) University of Illinois at Urbana-

        Deep Learning for Emotion Recognition on Small Datasets Using Transfer Learning Hong-Wei Ng, Viet Dung Nguyen, Vassilios Vonikakis, Stefan Winkler Advanced Digital Sciences Center (ADSC) University of Illinois at Urbana-

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        Source URL: vintage.winklerbros.net

        Language: English - Date: 2015-10-08 00:00:26
          35IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, VOL. X, NO. X, MONTH 20XX  1 Learning Deep Physiological Models of Affect H´ector P. Mart´ınez, Yoshua Bengio, and Georgios N. Yannakakis, Member, IEEE

          IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, VOL. X, NO. X, MONTH 20XX 1 Learning Deep Physiological Models of Affect H´ector P. Mart´ınez, Yoshua Bengio, and Georgios N. Yannakakis, Member, IEEE

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          Source URL: yannakakis.net

          Language: English - Date: 2013-03-09 12:10:57
            36PaperSession 8: Motion, 8:00 AM - 9:40 AM, Salon B Deep-Learning-Based CT Motion Artifact Recognition in Coronary Arteries

            PaperSession 8: Motion, 8:00 AM - 9:40 AM, Salon B Deep-Learning-Based CT Motion Artifact Recognition in Coronary Arteries

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            Source URL: hannes.nickisch.org

            Language: English - Date: 2018-03-23 14:18:28
              371  Ultra Low Power Deep-Learning-powered Autonomous Nano Drones  arXiv:1805.01831v1 [cs.RO] 4 May 2018

              1 Ultra Low Power Deep-Learning-powered Autonomous Nano Drones arXiv:1805.01831v1 [cs.RO] 4 May 2018

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              Source URL: arxiv.org

              Language: English - Date: 2018-05-06 20:37:52
              38A Deep-Learning Based Approach for Ischemic Stroke Lesion Outcome Prediction Ramandeep Randhawa, Ankit Modi, Parag Jain, and Prashant Warier , University of Southern California, {ankit.modi, prashant.wari

              A Deep-Learning Based Approach for Ischemic Stroke Lesion Outcome Prediction Ramandeep Randhawa, Ankit Modi, Parag Jain, and Prashant Warier , University of Southern California, {ankit.modi, prashant.wari

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              Source URL: www.isles-challenge.org

              Language: English - Date: 2016-08-16 09:41:48
                39Deep Learning for Isotropic Super-Resolution from Non-Isotropic 3D Electron Microscopy arXiv:1706.03142v1 [cs.CV] 9 JunLarissa Heinrich, John A. Bogovic, Stephan Saalfeld

                Deep Learning for Isotropic Super-Resolution from Non-Isotropic 3D Electron Microscopy arXiv:1706.03142v1 [cs.CV] 9 JunLarissa Heinrich, John A. Bogovic, Stephan Saalfeld

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                Source URL: arxiv.org

                Language: English - Date: 2017-06-12 21:26:11
                  40Semi-Supervised Learning with the Deep Rendering Mixture Model Tan Nguyen1,2 Wanjia Liu1 Ethan Perez1 Richard G. Baraniuk1

                  Semi-Supervised Learning with the Deep Rendering Mixture Model Tan Nguyen1,2 Wanjia Liu1 Ethan Perez1 Richard G. Baraniuk1

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                  Source URL: ankitbpatel715.files.wordpress.com

                  Language: English - Date: 2016-12-06 13:43:44