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Picture for Graham Taylor

Learning Permutation Invariant Representations using Memory Networks


Nov 18, 2019
Shivam Kalra, Mohammed Adnan, Graham Taylor, Hamid Tizhoosh


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BitNet: Bit-Regularized Deep Neural Networks


Jun 26, 2018
Aswin Raghavan, Mohamed Amer, Sek Chai, Graham Taylor


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Quantitatively Evaluating GANs With Divergences Proposed for Training


Apr 28, 2018
Daniel Jiwoong Im, He Ma, Graham Taylor, Kristin Branson

* ICLR 2018 

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Convolutional Neural Networks Regularized by Correlated Noise


Apr 03, 2018
Shamak Dutta, Bryan Tripp, Graham Taylor

* Accepted at CRV 2018 

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Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning


Sep 15, 2017
Natalia Neverova, Christian Wolf, Florian Nebout, Graham Taylor

* 13 pages, 10 figures, 4 tables 

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Generative Adversarial Parallelization


Dec 13, 2016
Daniel Jiwoong Im, He Ma, Chris Dongjoo Kim, Graham Taylor


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Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks


Sep 30, 2016
Roberto DiCecco, Griffin Lacey, Jasmina Vasiljevic, Paul Chow, Graham Taylor, Shawki Areibi


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Learning Human Identity from Motion Patterns


Apr 21, 2016
Natalia Neverova, Christian Wolf, Griffin Lacey, Lex Fridman, Deepak Chandra, Brandon Barbello, Graham Taylor

* 10 pages, 6 figures, 2 tables 

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Automatic Moth Detection from Trap Images for Pest Management


Feb 24, 2016
Weiguang Ding, Graham Taylor

* Preprints accepted by Computers and electronics in agriculture 

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Learning with hidden variables


Jul 24, 2015
Yasser Roudi, Graham Taylor

* revised version accepted in Current Opinion in Neurobiology 

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Generative Class-conditional Autoencoders


Apr 09, 2015
Jan Rudy, Graham Taylor


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Theano-based Large-Scale Visual Recognition with Multiple GPUs


Apr 06, 2015
Weiguang Ding, Ruoyan Wang, Fei Mao, Graham Taylor

* ICLR 2015 workshop camera-ready version 

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