@INPROCEEDINGS{KingmaBa:2015:1,
  AUTHOR = {Kingma, Diederik P. and Ba, Jimmy},
  EDITOR = {Bengio, Yoshua and LeCun, Yann},
  BOOKTITLE = {3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7--9, 2015, Conference Track Proceedings},
  DATE = {2015},
  EPRINT = {1412.6980},
  EPRINTTYPE = {arXiv},
  TITLE = {Adam: a method for stochastic optimization},
}

@ARTICLE{KrizhevskySutskeverHinton:2017:1,
  AUTHOR = {Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E.},
  PUBLISHER = {Association for Computing Machinery (ACM)},
  DATE = {2017-05},
  DOI = {10.1145/3065386},
  JOURNALTITLE = {Communications of the ACM},
  NUMBER = {6},
  PAGES = {84--90},
  TITLE = {ImageNet classification with deep convolutional neural networks},
  VOLUME = {60},
}

@INPROCEEDINGS{HeZhangRenSun:2016:1,
  AUTHOR = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  PUBLISHER = {IEEE},
  BOOKTITLE = {2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  DATE = {2016-06},
  DOI = {10.1109/cvpr.2016.90},
  EPRINT = {1512.03385},
  EPRINTTYPE = {arXiv},
  TITLE = {Deep residual learning for image recognition},
}

@INPROCEEDINGS{VaswaniShazeerParmarUszkoreitJonesGomezKaiserPolosukhin:2017:1,
  AUTHOR = {Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, Lukasz and Polosukhin, Illia},
  EDITOR = {Guyon, I. and Von Luxburg, U. and Bengio, S. and Wallach, H. and Fergus, R. and Vishwanathan, S. and Garnett, R.},
  PUBLISHER = {Curran Associates, Inc.},
  URL = {https://proceedings.neurips.cc/paper_files/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf},
  BOOKTITLE = {Advances in Neural Information Processing Systems},
  DATE = {2017},
  EPRINT = {1706.03762},
  EPRINTTYPE = {arXiv},
  TITLE = {Attention is all you need},
  VOLUME = {30},
}

@REPORT{RadfordNarasimhanSalimansSutskever:2018:1,
  AUTHOR = {Radford, Alec and Narasimhan, Karthik and Salimans, Tim and Sutskever, Ilya and others},
  PUBLISHER = {OpenAI},
  URL = {https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language-unsupervised/language_understanding_paper.pdf},
  DATE = {2018},
  TITLE = {Improving language understanding by generative pre-training},
  TYPE = {techreport},
}