4 Publications

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[4]
2024 | Conference Paper | IST-REx-ID: 15011 | OA
Kurtic, Eldar, et al. “How to Prune Your Language Model: Recovering Accuracy on the ‘Sparsity May Cry’ Benchmark.” Proceedings of Machine Learning Research, vol. 234, ML Research Press, 2024, pp. 542–53.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[3]
2023 | Conference Paper | IST-REx-ID: 13053 | OA
Peste, Elena-Alexandra, et al. “CrAM: A Compression-Aware Minimizer.” 11th International Conference on Learning Representations .
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[2]
2023 | Conference Paper | IST-REx-ID: 14460 | OA
Nikdan, Mahdi, et al. “SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 26215–27.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[1]
2021 | Conference Paper | IST-REx-ID: 11463 | OA
Frantar, Elias, et al. “M-FAC: Efficient Matrix-Free Approximations of Second-Order Information.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 14873–86.
[Published Version] View | Download Published Version (ext.) | arXiv
 

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4 Publications

Mark all

[4]
2024 | Conference Paper | IST-REx-ID: 15011 | OA
Kurtic, Eldar, et al. “How to Prune Your Language Model: Recovering Accuracy on the ‘Sparsity May Cry’ Benchmark.” Proceedings of Machine Learning Research, vol. 234, ML Research Press, 2024, pp. 542–53.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[3]
2023 | Conference Paper | IST-REx-ID: 13053 | OA
Peste, Elena-Alexandra, et al. “CrAM: A Compression-Aware Minimizer.” 11th International Conference on Learning Representations .
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[2]
2023 | Conference Paper | IST-REx-ID: 14460 | OA
Nikdan, Mahdi, et al. “SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 26215–27.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[1]
2021 | Conference Paper | IST-REx-ID: 11463 | OA
Frantar, Elias, et al. “M-FAC: Efficient Matrix-Free Approximations of Second-Order Information.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 14873–86.
[Published Version] View | Download Published Version (ext.) | arXiv
 

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Citation Style: MLA

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