@misc{https://doi.org/10.48550/arxiv.2205.10279,
  doi = {10.48550/ARXIV.2205.10279},
  
  url = {https://arxiv.org/abs/2205.10279},
  
  author = {Shwartz-Ziv, Ravid and Goldblum, Micah and Souri, Hossein and Kapoor, Sanyam and Zhu, Chen and LeCun, Yann and Wilson, Andrew Gordon},
  
  keywords = {Machine Learning (cs.LG), Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences},
  
  title = {Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors},
  
  publisher = {arXiv},
  
  year = {2022},
  
  copyright = {arXiv.org perpetual, non-exclusive license}
}

@misc{https://doi.org/10.48550/arxiv.1902.02476,
  doi = {10.48550/ARXIV.1902.02476},
  
  url = {https://arxiv.org/abs/1902.02476},
  
  author = {Maddox, Wesley and Garipov, Timur and Izmailov, Pavel and Vetrov, Dmitry and Wilson, Andrew Gordon},
  
  keywords = {Machine Learning (cs.LG), Artificial Intelligence (cs.AI), Computer Vision and Pattern Recognition (cs.CV), Machine Learning (stat.ML), FOS: Computer and information sciences, FOS: Computer and information sciences},
  
  title = {A Simple Baseline for Bayesian Uncertainty in Deep Learning},
  
  publisher = {arXiv},
  
  year = {2019},
  
  copyright = {arXiv.org perpetual, non-exclusive license}
}

@INPROCEEDINGS{4756141,
  author={Nilsback, Maria-Elena and Zisserman, Andrew},
  booktitle={2008 Sixth Indian Conference on Computer Vision, Graphics \& Image Processing}, 
  title={Automated Flower Classification over a Large Number of Classes}, 
  year={2008},
  volume={},
  number={},
  pages={722-729},
  doi={10.1109/ICVGIP.2008.47}}


% @article{Rougier:2018,
%   doi = {10.1038/d41586-018-04628-w},
%   year = {2018},
%   month = apr,
%   publisher = {Springer Nature},
%   volume = {556},
%   number = {7701},
%   pages = {309--309},
%   author = {Rougier, Nicolas P. and Hinsen, Konrad},
%   title = {Code reviewing puts extra demands on referees },
%   journal = {Nature},
% }

% @article{Science:2018,
%   doi = {10.1126/science.359.6377.725},
%   author = {Hutson, Matthew},
%   url = {http://science.sciencemag.org/content/359/6377/725},
%   year = {2018},
%   month = feb,
%   volume = {359},
%   number = {6377},
%   title = {Artificial intelligence faces a replication crisis},
%   journal = {Science},
% }

% @Misc{Roboto:2011,
%   author =       {Christian Robertson},
%   title =        {The Roboto family of fonts (Google)},
%   url =          {https://github.com/google/roboto},
%   year =         2011,
%   note =         {Apache License, verison 2.0},
% }

% @Misc{SourceSerifPro:2014,
%   author =       {Frank Grießhammer},
%   title =        {Source Serif Pro (Adobe Systems)},
%   url =          {https://github.com/adobe-fonts/source-serif-pro},
%   year =         2014,
%   note =         {SIL Open Font License, version 1.1},
% }

% @Misc{SourceCodePro:2012,
%   author =       {Paul D. Hunt},
%   title =        {Source Code Pro (Adobe Systems)},
%   url =          {https://github.com/adobe-fonts/source-code-pro},
%   year =         2012,
%   note =         {SIL Open Font License, version 1.1},
% }

% @article{Topalidou:2015,
%   author =       {Topalidou, Meropi and Rougier, Nicolas P.},
%   title =        {{[Re] Interaction between cognitive and motor cortico-basal
%                   ganglia loops during decision making: a computational study}},
%   journal =      {ReScience},
%   year =         2015,
%   volume =       1,
%   number =       1,
%   doi =          {10.5281/zenodo.27944},
% }

% @article{Rougier:2017,
%   doi =          {10.7717/peerj-cs.142},
%   author =       {Nicolas P. Rougier and Konrad Hinsen and Frédéric Alexandre
%                   and Thomas Arildsen and Lorena Barba and Fabien
%                   C. Y. Benureau and C. Titus Brown and Pierre de Buyl and Ozan
%                   Caglayan and Andrew P. Davison and Marc André Delsuc and
%                   Georgios Detorakis and Alexandra K. Diem and Damien Drix and
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%                   and Pietro Marchesi and Dan McGlinn and Christoph Metzner and
%                   Owen L. Petchey and Hans Ekkehard Plesser and Timothée Poisot
%                   and Karthik Ram and Yoav Ram and Etienne Roesch and Cyrille
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%                   Federico Vaggi and Guillaume Viejo and Julien Vitay and Anya
%                   Vostinar and Roman Yurchak and Tiziano Zito},
%   title =        {{Sustainable computational science: the ReScience
%                   initiative}},
%   journal =      {{PeerJ} Computer Science},
%   month =        12,
%   volume =       3,
%   pages =        {e142},
%   year =         2017,
%   github =       {https://github.com/ReScience/ReScience-article-2},
%   keywords =     {journal},
%   tags =         {OS},
% }

% @article{Sinha:2022,
%   author = {Sinha, Koustuv and Dodge, Jesse and Luccioni, Sasha and Forde, Jessica Zosa and Raparthy, Sharath Chandra and Pineau, Joelle and Stojnic, Robert},
%   title = {{ML Reproducibility Challenge 2021}},
%   journal = {ReScience C},
%   year = {2022},
%   month = may,
%   volume = {8},
%   number = {2},
%   pages = {{#48}},
%   doi = {10.5281/zenodo.6574723},
%   url = {https://zenodo.org/record/6574723/files/article.pdf},
%   code_url = {},
%   code_doi = {},
%   code_swh = {},
%   data_url = {},
%   data_doi = {},
%   review_url = {},
%   type = {Editorial},
%   language = {Python},
%   domain = {ML Reproducibility Challenge 2021},
%   keywords = {rescience c, machine learning, deep learning, python, pytorch}
% }

% @article{Sinha:2021,
%   author = {Sinha, Koustuv and Dodge, Jesse and Luccioni, Sasha and Forde, Jessica Zosa and Stojnic, Robert and Pineau, Joelle},
%   title = {{ML Reproducibility Challenge 2020}},
%   journal = {ReScience C},
%   year = {2021},
%   month = may,
%   volume = {7},
%   number = {2},
%   pages = {{#1}},
%   doi = {10.5281/zenodo.4833117},
%   url = {https://zenodo.org/record/4833117/files/article.pdf},
%   code_url = {},
%   code_doi = {},
%   code_swh = {},
%   data_url = {},
%   data_doi = {},
%   review_url = {},
%   type = {Editorial},
%   language = {},
%   domain = {},
%   keywords = {machine learning, neurips, reproducibility challenge}
% }

% @article{Sinha:2020,
%   author = {Sinha, Koustuv and Pineau, Joelle and Forde, Jessica and Ke, Rosemary Nan and Larochelle, Hugo},
%   title = {{NeurIPS 2019 Reproducibility Challenge}},
%   journal = {ReScience C},
%   year = {2020},
%   month = may,
%   volume = {6},
%   number = {2},
%   pages = {{#11}},
%   doi = {10.5281/zenodo.3818627},
%   url = {https://zenodo.org/record/3818627/files/article.pdf},
%   code_url = {},
%   code_doi = {},
%   code_swh = {},
%   data_url = {},
%   data_doi = {},
%   review_url = {},
%   type = {Editorial},
%   language = {},
%   domain = {},
%   keywords = {machine learning, neurips, reproducibility challenge}
% }

% @article{Pineau:2019,
%   author = {Pineau, Joelle and Sinha, Koustuv and Fried, Genevieve and Ke, Rosemary Nan and Larochelle, Hugo},
%   title = {{ICLR Reproducibility Challenge 2019}},
%   journal = {ReScience C},
%   year = {2019},
%   month = may,
%   volume = {5},
%   number = {2},
%   pages = {{#5}},
%   doi = {10.5281/zenodo.3158244},
%   url = {https://zenodo.org/record/3158244/files/article.pdf},
%   code_url = {},
%   code_doi = {},
%   data_url = {},
%   data_doi = {},
%   review_url = {https://github.com/ReScience/submissions/issues/5},
%   type = {Editorial},
%   language = {},
%   domain = {},
%   keywords = {machine learning, ICLR, reproducibility challenge}
% }