Neural networks

Results: 3500



#Item
11Latte: A Language, Compiler, and Runtime for Elegant and Efficient Deep Neural Networks Leonard Truong Rajkishore Barik

Latte: A Language, Compiler, and Runtime for Elegant and Efficient Deep Neural Networks Leonard Truong Rajkishore Barik

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Source URL: thev.net

Language: English - Date: 2016-07-05 13:12:15
12Concolic Testing for Deep Neural Networks

Concolic Testing for Deep Neural Networks

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Source URL: qav.comlab.ox.ac.uk

Language: English - Date: 2018-08-02 04:45:47
    13SPNs:	
  Network	
  Reconstruction	
  Theory and	
  Speedup	
  Using	
  Neural	
  Networks	
   Balaji	
  Prabhakar	
  and	
  Mendel	
  Rosenblum Self-­‐Programming	
  Networks	
  Research	
  Group Stanf

    SPNs:  Network  Reconstruction  Theory and  Speedup  Using  Neural  Networks   Balaji  Prabhakar  and  Mendel  Rosenblum Self-­‐Programming  Networks  Research  Group Stanf

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    Source URL: platformlab.stanford.edu

    Language: English - Date: 2018-02-21 18:51:55
    14This Talk § 1) Node embeddings § Map nodes to low-dimensional embeddings.  § 2) Graph neural networks

    This Talk § 1) Node embeddings § Map nodes to low-dimensional embeddings. § 2) Graph neural networks

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    Source URL: snap.stanford.edu

    Language: English - Date: 2018-04-25 02:50:02
    15Towards Reverse-Engineering Black-Box Neural Networks Seong Joon Oh Max Augustin  Bernt Schiele

    Towards Reverse-Engineering Black-Box Neural Networks Seong Joon Oh Max Augustin Bernt Schiele

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    Source URL: vision.soic.indiana.edu

    Language: English - Date: 2018-02-23 06:31:16
      16Deep-Learning: general principles + Convolutional Neural Networks Pr. Fabien Moutarde Center for Robotics MINES ParisTech

      Deep-Learning: general principles + Convolutional Neural Networks Pr. Fabien Moutarde Center for Robotics MINES ParisTech

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      Source URL: perso.mines-paristech.fr

      Language: English - Date: 2018-03-28 11:42:55
        17NLP Programming Tutorial 7 – Neural Networks  NLP Programming Tutorial 7 Neural Networks Graham Neubig Nara Institute of Science and Technology (NAIST)

        NLP Programming Tutorial 7 – Neural Networks NLP Programming Tutorial 7 Neural Networks Graham Neubig Nara Institute of Science and Technology (NAIST)

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        Source URL: www.phontron.com

        Language: English - Date: 2015-07-13 23:04:51
          18A PDE APPROACH TO REGULARIZATION IN DEEP LEARNING ADAM OBERMAN JOINT WORK WITH CHAUDHARI, OSHER, SOATTO AND CARLIER  The fundamental tool for training deep neural networks is Stochastic Gradient

          A PDE APPROACH TO REGULARIZATION IN DEEP LEARNING ADAM OBERMAN JOINT WORK WITH CHAUDHARI, OSHER, SOATTO AND CARLIER The fundamental tool for training deep neural networks is Stochastic Gradient

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          Source URL: cmx.caltech.edu

          Language: English - Date: 2017-08-28 13:59:57
            19Gated Feedback Recurrent Neural Networks  arXiv:1502.02367v4 [cs.NE] 17 Jun 2015 Junyoung Chung Caglar Gulcehre

            Gated Feedback Recurrent Neural Networks arXiv:1502.02367v4 [cs.NE] 17 Jun 2015 Junyoung Chung Caglar Gulcehre

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            Source URL: arxiv.org

            Language: English - Date: 2015-06-17 20:17:05
              20IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 23, NO. 11, NOVEMBERSemisupervised Classification With Cluster Regularization

              IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 23, NO. 11, NOVEMBERSemisupervised Classification With Cluster Regularization

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              Source URL: staff.ustc.edu.cn

              Language: English - Date: 2014-04-11 09:32:09