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| address={Sebastopol, CA}, | |
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| title={Deep Residual Learning for Image Recognition}, | |
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| title={GPT-4 Technical Report}, | |
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| institution={OpenAI}, | |
| year={2023}, | |
| number={arXiv:2303.08774}, | |
| archivePrefix={arXiv}, | |
| eprint={2303.08774}, | |
| primaryClass={cs.CL}, | |
| url={https://arxiv.org/abs/2303.08774} | |
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| title={Learning Efficient Representations for Large-Scale Visual Recognition}, | |
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| year={2020}, | |
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| publisher={Wiley}, | |
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| 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} | |
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| title={scikit-learn: Machine Learning in Python (Version 1.4)}, | |
| author={Pedregosa, Fabian and Varoquaux, Ga{"e}l and Gramfort, Alexandre and others}, | |
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| url={https://scikit-learn.org} | |
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| 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}, | |
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| year={2024}, | |
| url={https://proceedings.mlr.press/v235/} | |
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| archivePrefix={arXiv}, | |
| eprint={1412.6980}, | |
| primaryClass={cs.LG}, | |
| url={https://arxiv.org/abs/1412.6980} | |
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| @misc{raffel2020t5, | |
| title={Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer}, | |
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| year={2020}, | |
| howpublished={arXiv preprint}, | |
| archivePrefix={arXiv}, | |
| eprint={1910.10683}, | |
| primaryClass={cs.LG}, | |
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