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@article{2408.03274, Author = {Angie Boggust and Venkatesh Sivaraman and Yannick Assogba and Donghao Ren and Dominik Moritz and Fred Hohman}, Title = {Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments}, Year = {2024}, Eprint = {arXiv:2408.03274}, Doi = {10.1109/TVCG.2024.3456371}, }

Preprints:

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@article{2408.03274, Author = {Angie Boggust and Venkatesh Sivaraman and Yannick Assogba and Donghao Ren and Dominik Moritz and Fred Hohman}, Title = {Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments}, Year = {2024}, Eprint = {2408.03274}, Eprinttype = {arXiv}, Doi = {10.1109/TVCG.2024.3456371}, }

Preprints:

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Simple-minded \bibitems:

\begin{thebibliography} \bibitem{2408.03274} Angie Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz and Fred Hohman. \newblock Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments, 2024; \newblock arXiv:2408.03274. \newblock DOI: 10.1109/TVCG.2024.3456371. \end{thebibliography}

Preprints:

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<ul> <li> Angie Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman: “Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments”, 2024; <a href='https://arxiv.org/abs/2408.03274'>arXiv:2408.03274</a>. DOI: <a href='https://dx.doi.org/10.1109/TVCG.2024.3456371'>10.1109/TVCG.2024.3456371</a>. </li> </ul>

Preprints:

Please add the journal reference and DOI for your papers as soon as they are published.

Preview:

• Angie Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman: “Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments”, 2024; arXiv:2408.03274. DOI: 10.1109/TVCG.2024.3456371.

For copy and pasting to a Wiki:

* Angie Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman: “Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments”, 2024; [https://arxiv.org/abs/2408.03274 arXiv:2408.03274]. DOI: [https://dx.doi.org/10.1109/TVCG.2024.3456371 10.1109/TVCG.2024.3456371].

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