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https://github.com/harvard-edge/cs249r_book.git
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2867c9038f
Improved citation key for bibtex: Added a script to automatically generate and update citation keys in QMD files. This resolves formatting issues caused by characters like underscores in the original citation keys.
172 lines
6.5 KiB
BibTeX
172 lines
6.5 KiB
BibTeX
@article{dahl2023benchmarking,
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author = {Dahl, George E and Schneider, Frank and Nado, Zachary and Agarwal, Naman and Sastry, Chandramouli Shama and Hennig, Philipp and Medapati, Sourabh and Eschenhagen, Runa and Kasimbeg, Priya and Suo, Daniel and others},
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doi = {10.1212/nxi.0000000000001086},
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issn = {2332-7812},
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journal = {Neurology Neuroimmunology \& Neuroinflammation},
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number = {6},
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publisher = {Ovid Technologies (Wolters Kluwer Health)},
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source = {Crossref},
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title = {{CSF} Findings in Acute {NMDAR} and {LGI1} {Antibody{\textendash}Associated} Autoimmune Encephalitis},
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url = {https://doi.org/10.1212/nxi.0000000000001086},
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volume = {8},
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year = {2021}
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}
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@inproceedings{diederik2015adam,
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author = {Diederik P. Kingma and Jimmy Ba},
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bibsource = {dblp computer science bibliography, https://dblp.org},
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biburl = {https://dblp.org/rec/journals/corr/KingmaB14.bib},
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booktitle = {3rd International Conference on Learning Representations, {ICLR} 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings},
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editor = {Yoshua Bengio and Yann LeCun},
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timestamp = {Thu, 25 Jul 2019 01:00:00 +0200},
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title = {Adam: {A} Method for Stochastic Optimization},
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url = {http://arxiv.org/abs/1412.6980},
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year = {2015}
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}
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@inproceedings{glorot2010understanding,
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author = {Glorot, Xavier and Bengio, Yoshua},
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booktitle = {Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics},
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title = {Understanding the difficulty of training deep feedforward neural networks},
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url = {https://proceedings.mlr.press/v9/glorot10a.html},
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year = {2010}
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}
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@misc{hinton2017overview,
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author = {Hinton, Geoffrey},
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howpublished = {University Lecture},
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institution = {University of Toronto},
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title = {Overview of Minibatch Gradient Descent},
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year = {2017}
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}
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@inproceedings{jasper2012practical,
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author = {Jasper Snoek and Hugo Larochelle and Ryan P. Adams},
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bibsource = {dblp computer science bibliography, https://dblp.org},
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biburl = {https://dblp.org/rec/conf/nips/SnoekLA12.bib},
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booktitle = {Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States},
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editor = {Peter L. Bartlett and Fernando C. N. Pereira and Christopher J. C. Burges and L{\'{e}}on Bottou and Kilian Q. Weinberger},
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pages = {2960--2968},
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timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
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title = {Practical Bayesian Optimization of Machine Learning Algorithms},
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url = {https://proceedings.neurips.cc/paper/2012/hash/05311655a15b75fab86956663e1819cd-Abstract.html},
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year = {2012}
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}
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@inproceedings{john2010adaptive,
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author = {John C. Duchi and Elad Hazan and Yoram Singer},
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bibsource = {dblp computer science bibliography, https://dblp.org},
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biburl = {https://dblp.org/rec/conf/colt/DuchiHS10.bib},
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booktitle = {{COLT} 2010 - The 23rd Conference on Learning Theory, Haifa, Israel, June 27-29, 2010},
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editor = {Adam Tauman Kalai and Mehryar Mohri},
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pages = {257--269},
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publisher = {Omnipress},
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timestamp = {Tue, 19 Feb 2013 00:00:00 +0100},
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title = {Adaptive Subgradient Methods for Online Learning and Stochastic Optimization},
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url = {http://colt2010.haifa.il.ibm.com/papers/COLT2010proceedings.pdf\#page=265},
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year = {2010}
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}
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@inproceedings{kaiming2015delving,
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author = {Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun},
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bibsource = {dblp computer science bibliography, https://dblp.org},
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biburl = {https://dblp.org/rec/conf/iccv/HeZRS15.bib},
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booktitle = {2015 {IEEE} International Conference on Computer Vision, {ICCV} 2015, Santiago, Chile, December 7-13, 2015},
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doi = {10.1109/ICCV.2015.123},
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pages = {1026--1034},
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publisher = {{IEEE} Computer Society},
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timestamp = {Wed, 17 Apr 2019 01:00:00 +0200},
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title = {Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification},
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url = {https://doi.org/10.1109/ICCV.2015.123},
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year = {2015}
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}
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@article{robbins1951stochastic,
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author = {Robbins, Herbert and Monro, Sutton},
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doi = {10.1214/aoms/1177729586},
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issn = {0003-4851},
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journal = {The Annals of Mathematical Statistics},
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number = {3},
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pages = {400--407},
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publisher = {Institute of Mathematical Statistics},
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source = {Crossref},
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title = {A Stochastic Approximation Method},
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url = {https://doi.org/10.1214/aoms/1177729586},
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volume = {22},
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year = {1951}
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}
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@article{ruder2016overview,
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author = {Ruder, Sebastian},
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journal = {ArXiv preprint},
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title = {An overview of gradient descent optimization algorithms},
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url = {https://arxiv.org/abs/1609.04747},
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volume = {abs/1609.04747},
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year = {2016}
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}
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@article{srivastava2014dropout,
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author = {Srivastava, Nitish and Hinton, Geoffrey and Krizhevsky, Alex and Sutskever, Ilya and Salakhutdinov, Ruslan},
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journal = {J. Mach. Learn. Res.},
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title = {Dropout: {A} Simple Way to Prevent Neural Networks from Overfitting},
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url = {http://jmlr.org/papers/v15/srivastava14a.html},
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year = {2014}
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}
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@misc{torsten2021sparsity,
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archiveprefix = {arXiv},
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author = {Torsten Hoefler and Dan Alistarh and Tal Ben-Nun and Nikoli Dryden and Alexandra Peste},
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eprint = {2102.00554},
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primaryclass = {cs.LG},
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title = {Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks},
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year = {2021}
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}
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@misc{yang2018imagenet,
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archiveprefix = {arXiv},
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author = {Yang You and Zhao Zhang and Cho-Jui Hsieh and James Demmel and Kurt Keutzer},
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eprint = {1709.05011},
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primaryclass = {cs.CV},
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title = {ImageNet Training in Minutes},
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year = {2018}
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}
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@misc{you2018imagenet,
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archiveprefix = {arXiv},
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author = {You, Yang and Zhang, Zhao and Hsieh, Cho-Jui and Demmel, James and Keutzer, Kurt},
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eprint = {1709.05011},
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primaryclass = {cs.CV},
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title = {{ImageNet} Training in Minutes},
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year = {2018}
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}
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@misc{zeiler2012reinforcement,
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archiveprefix = {arXiv},
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author = {Zeiler, Matthew D.},
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doi = {10.1002/9781118266502.ch6},
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eprint = {1212.5701},
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isbn = {9780470919996, 9781118266502},
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pages = {119--149},
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primaryclass = {cs.LG},
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publisher = {Wiley},
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source = {Crossref},
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title = {Reinforcement and Systemic Machine Learning for Decision Making},
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url = {https://doi.org/10.1002/9781118266502.ch6},
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year = {2012}
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}
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@misc{zoph2023cybernetical,
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archiveprefix = {arXiv},
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author = {Zoph, Barret and Le, Quoc V.},
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doi = {10.1002/9781394217519.ch17},
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eprint = {1611.01578},
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isbn = {9781394217489, 9781394217519},
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pages = {367--392},
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primaryclass = {cs.LG},
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publisher = {Wiley},
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source = {Crossref},
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title = {Cybernetical Intelligence},
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url = {https://doi.org/10.1002/9781394217519.ch17},
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year = {2023}
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}
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