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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.
173 lines
7.0 KiB
BibTeX
173 lines
7.0 KiB
BibTeX
@article{aledhari2020federated,
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author = {Aledhari, Mohammed and Razzak, Rehma and Parizi, Reza M. and Saeed, Fahad},
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bdsk-url-1 = {https://doi.org/10.1109/access.2020.3013541},
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doi = {10.1109/access.2020.3013541},
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issn = {2169-3536},
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journal = {\#IEEE\_O\_ACC\#},
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pages = {140699--140725},
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publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
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source = {Crossref},
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title = {Federated Learning: {A} Survey on Enabling Technologies, Protocols, and Applications},
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url = {https://doi.org/10.1109/access.2020.3013541},
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volume = {8},
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year = {2020}
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}
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@inproceedings{ardila2020common,
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address = {Marseille, France},
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author = {Ardila, Rosana and Branson, Megan and Davis, Kelly and Kohler, Michael and Meyer, Josh and Henretty, Michael and Morais, Reuben and Saunders, Lindsay and Tyers, Francis and Weber, Gregor},
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booktitle = {Proceedings of the Twelfth Language Resources and Evaluation Conference},
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isbn = {979-10-95546-34-4},
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language = {English},
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pages = {4218--4222},
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publisher = {European Language Resources Association},
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title = {Common Voice: A Massively-Multilingual Speech Corpus},
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url = {https://aclanthology.org/2020.lrec-1.520},
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year = {2020}
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}
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@article{bender2018data,
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address = {Cambridge, MA},
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author = {Bender, Emily M. and Friedman, Batya},
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doi = {10.1162/tacl\_a\_00041},
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journal = {Transactions of the Association for Computational Linguistics},
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pages = {587--604},
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publisher = {MIT Press},
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title = {Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science},
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url = {https://aclanthology.org/Q18-1041},
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volume = {6},
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year = {2018}
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}
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@article{chapelle2009semisupervised,
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author = {Chapelle, O. and Scholkopf, B. and Zien, Eds., A.},
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bdsk-url-1 = {https://doi.org/10.1109/tnn.2009.2015974},
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doi = {10.1109/tnn.2009.2015974},
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issn = {1045-9227},
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journal = {IEEE Trans. Neural Networks},
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number = {3},
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pages = {542--542},
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publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
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source = {Crossref},
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title = {Semi-Supervised Learning {(Chapelle,} {O.} et al., Eds.; 2006) {[Book} reviews]},
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url = {https://doi.org/10.1109/tnn.2009.2015974},
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volume = {20},
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year = {2009}
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}
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@article{gebru2021datasheets,
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author = {Gebru, Timnit and Morgenstern, Jamie and Vecchione, Briana and Vaughan, Jennifer Wortman and Wallach, Hanna and III, Hal Daum\'e and Crawford, Kate},
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bdsk-url-1 = {https://doi.org/10.1145/3458723},
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doi = {10.1145/3458723},
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issn = {0001-0782, 1557-7317},
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journal = {Commun. ACM},
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number = {12},
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pages = {86--92},
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publisher = {Association for Computing Machinery (ACM)},
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source = {Crossref},
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title = {Datasheets for datasets},
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url = {https://doi.org/10.1145/3458723},
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volume = {64},
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year = {2021}
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}
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@misc{googleinformation,
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author = {Google},
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bdsk-url-1 = {https://blog.google/documents/83/},
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title = {Information quality content moderation},
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url = {https://blog.google/documents/83/}
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}
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@incollection{holland2020dataset,
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author = {Holland, Sarah and Hosny, Ahmed and Newman, Sarah and Joseph, Joshua and Chmielinski, Kasia},
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bdsk-url-1 = {https://doi.org/10.5040/9781509932771.ch-001},
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booktitle = {Data Protection and Privacy},
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doi = {10.5040/9781509932771.ch-001},
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isbn = {9781509932740, 9781509932764, 9781509932757, 9781509932771},
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journal = {Data Protection and Privacy},
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publisher = {Hart Publishing},
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source = {Crossref},
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subtitle = {A Framework to Drive Higher Data Quality Standards},
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title = {The Dataset Nutrition Label},
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url = {https://doi.org/10.5040/9781509932771.ch-001},
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year = {2020}
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}
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@inproceedings{johnsonroberson2017driving,
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author = {Johnson-Roberson, Matthew and Barto, Charles and Mehta, Rounak and Sridhar, Sharath Nittur and Rosaen, Karl and Vasudevan, Ram},
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bdsk-url-1 = {https://doi.org/10.1109/icra.2017.7989092},
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booktitle = {2017 IEEE International Conference on Robotics and Automation (ICRA)},
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doi = {10.1109/icra.2017.7989092},
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journal = {2017 IEEE International Conference on Robotics and Automation (ICRA)},
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publisher = {IEEE},
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source = {Crossref},
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title = {Driving in the Matrix: {Can} virtual worlds replace human-generated annotations for real world tasks?},
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url = {https://doi.org/10.1109/icra.2017.7989092},
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year = {2017}
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}
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@article{krishnan2022selfsupervised,
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author = {Krishnan, Rayan and Rajpurkar, Pranav and Topol, Eric J.},
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bdsk-url-1 = {https://doi.org/10.1038/s41551-022-00914-1},
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doi = {10.1038/s41551-022-00914-1},
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issn = {2157-846X},
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journal = {Nat. Biomed. Eng.},
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number = {12},
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pages = {1346--1352},
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publisher = {Springer Science and Business Media LLC},
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source = {Crossref},
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title = {Self-supervised learning in medicine and healthcare},
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url = {https://doi.org/10.1038/s41551-022-00914-1},
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volume = {6},
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year = {2022}
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}
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@article{northcutt2021pervasive,
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author = {Northcutt, Curtis G and Athalye, Anish and Mueller, Jonas},
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bdsk-url-1 = {nbsp;},
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doi = {https://doi.org/10.48550/arXiv.2103.14749 arXiv-issued DOI via DataCite},
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journal = {arXiv},
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title = {Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks},
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year = {2021}
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}
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@inproceedings{pushkarna2022data,
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author = {Pushkarna, Mahima and Zaldivar, Andrew and Kjartansson, Oddur},
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bdsk-url-1 = {https://doi.org/10.1145/3531146.3533231},
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booktitle = {2022 ACM Conference on Fairness, Accountability, and Transparency},
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doi = {10.1145/3531146.3533231},
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journal = {2022 ACM Conference on Fairness, Accountability, and Transparency},
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publisher = {ACM},
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source = {Crossref},
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title = {Data Cards: {Purposeful} and Transparent Dataset Documentation for Responsible {AI}},
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url = {https://doi.org/10.1145/3531146.3533231},
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year = {2022}
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}
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@inproceedings{ratner2018snorkel,
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author = {Ratner, Alex and Hancock, Braden and Dunnmon, Jared and Goldman, Roger and R\'e, Christopher},
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booktitle = {Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning},
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doi = {10.1145/3209889.3209898},
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journal = {Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning},
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publisher = {ACM},
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source = {Crossref},
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subtitle = {Weak Supervision for Multi-Task Learning},
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title = {Snorkel {MeTaL}},
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url = {https://doi.org/10.1145/3209889.3209898},
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year = {2018}
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}
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@inproceedings{victor2019machine,
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author = {Victor S. Sheng and Jing Zhang},
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bibsource = {dblp computer science bibliography, https://dblp.org},
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biburl = {https://dblp.org/rec/conf/aaai/Sheng019.bib},
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booktitle = {The Thirty-Third {AAAI} Conference on Artificial Intelligence, {AAAI} 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, {IAAI} 2019, The Ninth {AAAI} Symposium on Educational Advances in Artificial Intelligence, {EAAI} 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019},
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doi = {10.1609/aaai.v33i01.33019837},
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pages = {9837--9843},
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publisher = {{AAAI} Press},
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timestamp = {Wed, 25 Sep 2019 01:00:00 +0200},
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title = {Machine Learning with Crowdsourcing: {A} Brief Summary of the Past Research and Future Directions},
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url = {https://doi.org/10.1609/aaai.v33i01.33019837},
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year = {2019}
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}
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