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@inproceedings{vaswani2017attention,
title = {Attention Is All You Need},
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}Lukasz and Polosukhin, Illia},
booktitle = {Advances in Neural Information Processing Systems},
year = {2017}
}
@book{mckinney2017python,
title = {Python for Data Analysis},
author = {McKinney, Wes},
publisher = {O'Reilly Media},
address = {Sebastopol, CA},
year = {2017},
edition = {2},
isbn = {978-1491957660}
}
@inproceedings{he2016resnet,
title = {Deep Residual Learning for Image Recognition},
author = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
pages = {770--778},
year = {2016},
doi = {10.1109/CVPR.2016.90},
url = {https://doi.org/10.1109/CVPR.2016.90}
}
@article{silver2017mastering,
title = {Mastering the game of Go without human knowledge},
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journal = {Nature},
volume = {550},
number = {7676},
pages = {354--359},
year = {2017},
month = {oct},
doi = {10.1038/nature24270},
url = {https://www.nature.com/articles/nature24270}
}
@techreport{openai2023gpt4,
title = {GPT-4 Technical Report},
author = {{OpenAI}},
institution = {OpenAI},
year = {2023},
number = {arXiv:2303.08774},
archiveprefix = {arXiv},
eprint = {2303.08774},
primaryclass = {cs.CL},
url = {https://arxiv.org/abs/2303.08774}
}
@phdthesis{doe2020thesis,
title = {Learning Efficient Representations for Large-Scale Visual Recognition},
author = {Doe, Jane},
school = {Massachusetts Institute of Technology},
address = {Cambridge, MA},
year = {2020},
doi = {10.5555/mit-2020-xyz}
}
@incollection{cover2006entropy,
title = {Entropy, Relative Entropy, and Mutual Information},
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publisher = {Wiley},
address = {Hoboken, NJ},
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pages = {13--55},
isbn = {978-0471241959}
}
@misc{zenodo2021dataset,
title = {ImageNet-21K Subset (Version 2.0)},
author = {Smith, John and Lee, Alice and Kumar, Ravi},
year = {2021},
howpublished = {Dataset on Zenodo},
doi = {10.5281/zenodo.1234567},
url = {https://doi.org/10.5281/zenodo.1234567},
note = {Accessed 2025-09-01}
}
@misc{sklearn2024,
title = {scikit-learn: Machine Learning in Python (Version 1.4)},
author = {Pedregosa, Fabian and Varoquaux, Ga{"e}l and Gramfort, Alexandre and others},
year = {2024},
howpublished = {Software},
doi = {10.5281/zenodo.592264},
url = {https://scikit-learn.org}
}
@inproceedings{smith2024privacy,
title = {Privacy-Preserving Training with Low-Precision Secure Aggregation},
author = {Smith, Emily and Zhang, Wei and Rossi, Marco and Patel, Neha},
booktitle = {Proceedings of the 41st International Conference on Machine Learning},
editor = {Smith, A. and Johnson, B.},
series = {Proceedings of Machine Learning Research},
volume = {235},
pages = {12345--12367},
address = {Vienna, Austria},
publisher = {PMLR},
month = {jul},
year = {2024},
url = {https://proceedings.mlr.press/v235/}
}
@article{kingma2015adam,
title = {Adam: A Method for Stochastic Optimization},
author = {Kingma, Diederik P. and Ba, Jimmy},
journal = {International Conference on Learning Representations (ICLR)},
year = {2015},
archiveprefix = {arXiv},
eprint = {1412.6980},
primaryclass = {cs.LG},
url = {https://arxiv.org/abs/1412.6980}
}
@misc{raffel2020t5,
title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
author = {Raffel, Colin and Shazeer, Noam and Roberts, Adam and Lee, Katherine and Narang, Sharan and others},
year = {2020},
howpublished = {arXiv preprint},
archiveprefix = {arXiv},
eprint = {1910.10683},
primaryclass = {cs.LG},
doi = {10.48550/arXiv.1910.10683},
url = {https://arxiv.org/abs/1910.10683}
}
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