Deep

Results: 20988



#Item
441

How transferable are features in deep neural networks? Jason Yosinski,1 Jeff Clune,2 Yoshua Bengio,3 and Hod Lipson4 1 Dept. Computer Science, Cornell University 2

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Source URL: papers.nips.cc

- Date: 2014-12-02 18:45:47
    442

    Deep Reinforcement Learning with Double Q-learning Hado van Hasselt and Arthur Guez and David Silver arXiv:1509.06461v3 [cs.LG] 8 DecGoogle DeepMind

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    Source URL: arxiv.org

    - Date: 2015-12-09 21:35:51
      443

      Learning Deep Features for Discriminative Localization Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba Computer Science and Artificial Intelligence Laboratory, MIT {bzhou,khosla,agata,oliva,torra

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      Source URL: people.csail.mit.edu

      - Date: 2016-05-16 13:14:18
        444

        Memristive Boltzmann Machine: A Hardware Accelerator for Combinatorial Optimization and Deep Learning Mahdi Nazm Bojnordi and Engin Ipek University of Rochester, Rochester, NYUSA {bojnordi, ipek}@ece.rochester.edu

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        Source URL: www.cs.utah.edu

        - Date: 2016-08-10 10:34:22
          445

          Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks David Evans University of Virginia Although deep neural networks (DNNs) have achieved

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          Source URL: arxiv.org

          - Date: 2017-04-05 20:21:57
            446

            Network Dissection: Quantifying Interpretability of Deep Visual Representations arXiv:1704.05796v1 [cs.CV] 19 AprDavid Bau∗, Bolei Zhou∗, Aditya Khosla, Aude Oliva, and Antonio Torralba

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            Source URL: arxiv.org

            - Date: 2017-04-19 20:29:05
              447

              Stable recovery of the factors from a deep matrix product and application to convolutional network arXiv:1703.08044v1 [math.OC] 23 MarFranc¸ois Malgouyres1 and Joseph Landsberg2

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              Source URL: arxiv.org

              - Date: 2017-03-23 20:26:54
                448

                Mastering the Game of Go with Deep Neural Networks and Tree Search David Silver1 *, Aja Huang1 *, Chris J. Maddison1 , Arthur Guez1 , Laurent Sifre1 , George van den Driessche1 , Julian Schrittwieser1 , Ioannis Antonoglo

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                Source URL: airesearch.com

                - Date: 2016-01-29 14:44:22
                  449

                  SHIKHAR SHARMA Research SDE II, Microsoft Maluuba http://www.shikharsharma.com/ RESEARCH INTERESTS • Deep Learning

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                  Source URL: shikharsharma.com

                  - Date: 2017-05-29 23:03:40
                    450

                    Deep Learning Working Group Statement of Work August, 2016 Industry Requirement

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                    Source URL: www.khronos.org

                    - Date: 2016-10-04 08:26:45
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