Neural networks

Results: 3500



#Item
111

Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks Yinda Zhang†∗ Shuran Song†∗ Ersin Yumer‡ Manolis Savva† Joon-Young Lee‡ Hailin Jin‡ Thomas Funkhouser† †

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Source URL: robots.princeton.edu

- Date: 2017-04-10 13:55:43
    112

    ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky University of Toronto

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    Source URL: www.cs.toronto.edu

    - Date: 2016-11-22 22:04:05
      113

      Input Convex Neural Networks

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      Source URL: proceedings.mlr.press

      - Date: 2018-02-06 15:06:57
        114

        MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications arXiv:1704.04861v1 [cs.CV] 17 AprAndrew G. Howard

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        Source URL: arxiv.org

        - Date: 2017-04-17 20:27:23
          115

          OptNet: Differentiable Optimization as a Layer in Neural Networks

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          Source URL: proceedings.mlr.press

          - Date: 2018-02-06 15:06:57
            116

            Local Binary Convolutional Neural Networks Felix Juefei-Xu Carnegie Mellon University Vishnu Naresh Boddeti Michigan State University

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            Source URL: openaccess.thecvf.com

            - Date: 2017-05-30 20:41:28
              117

              OptNet: Differentiable Optimization as a Layer in Neural Networks

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              Source URL: proceedings.mlr.press

              - Date: 2018-02-06 15:06:57
                118

                Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks SUPPLEMENTAL MATERIAL Yinda Zhang Shuran Song Ersin Yumer Manolis Savva Joon-Young Lee Hailin Jin Thomas Funkhouser Princeton

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                Source URL: robots.princeton.edu

                - Date: 2017-04-10 12:54:12
                  119

                  Supplementary Material: Constrained Convolutional Neural Networks for Weakly Supervised Segmentation Deepak Pathak Philipp Kr¨ahenb¨uhl Trevor Darrell

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                  Source URL: www.philkr.net

                  - Date: 2017-10-06 12:46:13
                    120

                    arXiv:1506.02626v3 [cs.NE] 30 OctLearning both Weights and Connections for Efficient Neural Networks Jeff Pool NVIDIA

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                    Source URL: arxiv.org

                    - Date: 2015-11-02 21:01:39
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