app/src/content/bibliography.bib

@inproceedings{vaswani2017attention,
  title={Attention Is All You Need},
  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},
  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},
  author={Silver, David and Schrittwieser, Julian and Simonyan, Karen and Antonoglou, Ioannis and Huang, Aja and others},
  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},
  author={Cover, Thomas M. and Thomas, Joy A.},
  booktitle={Elements of Information Theory},
  publisher={Wiley},
  address={Hoboken, NJ},
  edition={2},
  year={2006},
  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}
}