Neural networks

Results: 3500



#Item
101

Adaptive dropout for training deep neural networks Lei Jimmy Ba Brendan Frey Department of Electrical and Computer Engineering University of Toronto jimmy,

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Source URL: papers.nips.cc

Language: English - Date: 2014-11-25 16:08:01
    102

    A First Look at Music Composition using LSTM Recurrent Neural Networks Douglas Eck

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    Source URL: people.idsia.ch

    Language: English - Date: 2003-12-02 05:44:10
      103

      Proceedings of the 2002 IEEE International Workshop on Neural Networks for Signal Processing, September 4-6, 2002 Robust Classification of Subcellular Location Patterns in Fluorescence Microscope Images Robert F. Murphy,

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      Source URL: murphylab.web.cmu.edu

      Language: English
        104

        EXPRESSIVE VISUAL TEXT TO SPEECH AND EXPRESSION ADAPTATION USING DEEP NEURAL NETWORKS Jonathan Parker1,2 , Ranniery Maia2 , Yannis Stylianou2 , Roberto Cipolla1,2 1 2

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        Source URL: mi.eng.cam.ac.uk

        Language: English - Date: 2018-03-13 12:51:17
          105

          arXiv:1606.05340v2 [stat.ML] 17 JunExponential expressivity in deep neural networks through transient chaos Ben Poole

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          Source URL: arxiv.org

          - Date: 2016-06-19 20:13:04
            106

            Input Convex Neural Networks

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            Source URL: proceedings.mlr.press

            - Date: 2018-02-06 15:06:57
              107

              Label-Free Supervision of Neural Networks with Physics and Domain Knowledge Russell Stewart , Stefano Ermon arXiv:1609.05566v1 [cs.AI] 18 Sep 2016

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              Source URL: arxiv.org

              - Date: 2016-09-19 20:27:22
                108

                Convolutional Neural Networks on Surfaces via Seamless Toric Covers HAGGAI MARON, Weizmann Institute of Science MEIRAV GALUN, NOAM AIGERMAN, MIRI TROPE, NADAV DYM, Weizmann Institute of Science ERSIN YUMER, VLADIMIR G. K

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                Source URL: vovakim.com

                - Date: 2017-05-05 17:20:46
                  109

                  Neural Networks as Statistical Methods in Survival Analysis B.D. Ripley Department of Statistics, University of Oxford and R.M. Ripley

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                  Source URL: www.stats.ox.ac.uk

                  - Date: 2003-12-07 07:12:27
                    110

                    Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection 1 Yu Xiang1 , Wongun Choi2 , Yuanqing Lin3 , and Silvio Savarese4

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                    Source URL: www.nec-labs.com

                    - Date: 2017-04-18 11:17:09
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