recent.bib

@comment{{This file has been generated by bib2bib 1.98}}
@comment{{Command line: bib2bib -ob src/recent.bib -c '$key="lacey2018stochastic" or $key="devries2018leveraging" or $key="schneider2018can" or $key="galloway2018aadversarial" or $key="baradel2018glimpse" or $key="galloway2018predicting" or $key="devries2018learning" or $key="galloway2018attacking" or $key="im2018quantitatively" or $key="neverova2017hand" or $key="ramachandram2017deep" or $key="devries2017improved" or $key="kumar2017explaining" or $key="devries2017data" or $key="ramachandram2017structure" or $key="li2017modout" or $key="veres2017modeling" or $key="dicecco2016caffeinated" or $key="ma2016btheano" or $key="neverova2016learning" or $key="lacey2016deep" or $key="ding2016automatic"' research-common/gwt_pubs.bib}}
@inproceedings{lacey2018stochastic,
  author = {Griffin Lacey and Graham Taylor and Shawki Areibi},
  title = {Stochastic Layer-Wise Precision in Deep Neural Networks},
  booktitle = {Uncertainty in Artificial Intelligence (UAI)},
  year = 2018,
  pdf = {https://arxiv.org/abs/1807.00942},
  note = {To appear.}
}
@article{devries2018leveraging,
  author = {Terrance Devries and Graham Taylor},
  title = {Leveraging Uncertainty Estimates for Predicting Segmentation Quality},
  journal = {arXiv preprint arXiv:1807.00502},
  pdf = {https://arxiv.org/abs/1807.00502},
  year = 2018
}
@article{schneider2018can,
  author = {Jonathan Schneider and Nihal Murali and Graham Taylor and Joel Levine},
  title = {Can {Drosophila melanogaster} tell who's who?},
  journal = {bioRxiv preprint bioRxiv:342857},
  doi = {https://doi.org/10.1101/055186},
  pdf = {https://www.biorxiv.org/content/early/2018/06/08/342857},
  year = 2018
}
@article{galloway2018aadversarial,
  author = {Angus Galloway and Thomas Tanay and Graham Taylor},
  title = {Adversarial Training Versus Weight Decay},
  journal = {arXiv preprint arXiv:1802.04457},
  pdf = {https://arxiv.org/abs/1804.03308},
  year = 2018
}
@inproceedings{baradel2018glimpse,
  author = {Fabien Baradel and Christian Wolf and Julien Mille and Graham Taylor},
  title = {Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points},
  booktitle = {Proc.~of the 31st IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)},
  pdf = {https://arxiv.org/abs/1802.07898},
  year = 2018,
  note = {To appear.}
}
@article{galloway2018predicting,
  author = {Angus Galloway and Graham Taylor and Medhat Moussa},
  title = {Predicting Adversarial Examples with High Confidence},
  journal = {arXiv preprint arXiv:1802.04457},
  pdf = {https://arxiv.org/abs/1802.04457},
  year = 2018
}
@article{devries2018learning,
  author = {Terrance Devries and Graham Taylor},
  title = {Learning Confidence for Out-of-Distribution Detection in Neural Networks},
  journal = {arXiv preprint arXiv:1802.04865},
  pdf = {https://arxiv.org/abs/1802.04865},
  year = 2018
}
@inproceedings{im2018quantitatively,
  author = {Daniel Jiwoong Im and He Ma and Graham Taylor and Kristen Branson},
  title = {Quantitatively Evaluating {GANs} with Divergences Proposed for Training},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = 2018,
  pdf = {https://arxiv.org/abs/1803.01045}
}
@inproceedings{galloway2018attacking,
  author = {Angus Galloway and Graham Taylor and Medhat Moussa},
  title = {Attacking Binarized Neural Networks},
  booktitle = {International Conference on Learning Representations (ICLR)},
  pdf = {https://arxiv.org/abs/1711.00449},
  year = 2018
}
@article{ramachandram2017deep,
  author = {Dhanesh Ramachandram and Graham Taylor},
  title = {Deep Multimodal Learning: A Survey on Recent Advances and Trends},
  journal = {IEEE Signal Processing Magazine},
  volume = 34,
  issue = 6,
  pages = {96--108},
  pdf = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8103116},
  year = 2017
}
@article{neverova2017hand,
  author = {Natalia Neverova and Christian Wolf and Florian Nebout and Graham Taylor},
  title = {Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning},
  journal = {Computer Vision and Image Understanding},
  volume = 164,
  pages = {56--67},
  pdf = {https://ac.els-cdn.com/S1077314217301686/1-s2.0-S1077314217301686-main.pdf?_tid=62c76984-cfac-11e7-a99e-00000aab0f26&acdnat=1511372684_455782578871f606ea1ce98bcecf57d4},
  year = 2017
}
@article{devries2017improved,
  author = {Terrance Devries and Graham Taylor},
  title = {Improved Regularization of Convolutional Neural Networks with {Cutout}},
  journal = {arXiv preprint arXiv:1708.04552},
  pdf = {https://arxiv.org/abs/1708.04552},
  year = 2017
}
@article{kumar2017explaining,
  author = {Devinder Kumar and Alexander Wong and Graham Taylor},
  title = {Explaining the Unexplained: A CLass-Enhanced Attentive Response ({CLEAR}) Approach to Understanding Deep Neural Networks},
  journal = {arXiv preprint arXiv:1704.04133},
  pdf = {https://arxiv.org/abs/1704.04133},
  year = 2017
}
@inproceedings{devries2017data,
  author = {Terrance Devries and Graham Taylor},
  booktitle = {International Conference on Learning Representations (ICLR) Workshop Track},
  title = {Dataset Augmentation in Feature Space},
  pdf = {http://arxiv.org/abs/1702.05538},
  year = 2017
}
@inproceedings{ramachandram2017structure,
  author = {Dhanesh Ramachandram and Michal Lisicki and Timothy Shields and Mohamed Amer and Graham Taylor},
  title = {Structure optimization for deep multimodal fusion networks using graph-induced kernels},
  booktitle = {European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)},
  year = 2017,
  pdf = {publications/ramachandram-esann2017.pdf}
}
@inproceedings{li2017modout,
  author = {Fan Li and Natalia Neverova and Christian Wolf and Graham Taylor},
  booktitle = {2017 IEEE Conference on Automatic Face and Gesture Recognition (FG)},
  title = {Modout: Learning Multi-modal Architectures by Stochastic Regularization},
  year = 2017,
  pdf = {publications/modout.pdf}
}
@article{veres2017modeling,
  author = {Matthew Veres and Medhat Moussa and Graham Taylor},
  title = {Modeling Grasp Motor Imagery through Deep Conditional Generative Models},
  journal = {IEEE Robotics and Automation Letters},
  year = 2017,
  volume = 2,
  number = 2,
  pdf = {https://arxiv.org/abs/1701.03041},
  note = {Also presented at the IEEE International Conference on Robotics and Automation (ICRA).}
}
@inproceedings{dicecco2016caffeinated,
  author = {Roberto DiCecco and Griffin Lacey and Jasmina Vasiljevic and Paul Chow and Graham Taylor and Shawki Areibi},
  title = {Caffeinated {FPGA}s: {FPGA} framework for convolutional neural networks},
  booktitle = {Field-Programmable Technology ({FPT})},
  year = 2016,
  pdf = {http://arxiv.org/abs/1609.09671}
}
@article{ma2016btheano,
  author = {He Ma and Fei Mao and Graham Taylor},
  title = {Theano-{MPI}: a {Theano}-based Distributed Training Framework},
  year = {2016},
  journal = {arXiv preprint arXiv:1605.08325},
  pdf = {http://arxiv.org/abs/1605.08325}
}
@article{neverova2016learning,
  author = {Natalia Neverova and Christian Wolf and Griffin Lacey and Lex Fridman and Deepak Chandra and Brandon Barbello and Graham Taylor},
  title = {Learning Human Identity from Motion Patterns},
  journal = {IEEE Access},
  year = {2016},
  volume = 4,
  pages = {1810--1820}
}
@article{lacey2016deep,
  author = {Griffin Lacey and Graham Taylor and Shawki Areibi},
  title = {Deep Learning on {FPGAs}: Past, Present, and Future},
  year = {2016},
  journal = {arXiv preprint arXiv:1602.04283},
  pdf = {http://arxiv.org/abs/1602.04283}
}
@article{ding2016automatic,
  author = {Weiguang Ding and Graham Taylor},
  title = {Automatic Moth Detection from Trap Images for Pest Management},
  journal = {Computers and Electronics in Agriculture},
  volume = {123},
  number = {},
  pages = {17--28},
  year = {2016},
  issn = {0168-1699},
  doi = {http://dx.doi.org/10.1016/j.compag.2016.02.003},
  url = {http://arxiv.org/abs/1602.07383}
}