Eldar Kurtic
Alistarh Group
4 Publications
2024 | Conference Paper | IST-REx-ID: 15011 |
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.
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| arXiv
2023 | Conference Paper | IST-REx-ID: 13053 |
Peste, Elena-Alexandra, et al. “CrAM: A Compression-Aware Minimizer.” 11th International Conference on Learning Representations .
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| arXiv
2023 | Conference Paper | IST-REx-ID: 14460 |
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.
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| arXiv
2021 | Conference Paper | IST-REx-ID: 11463 |
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]
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| arXiv
4 Publications
2024 | Conference Paper | IST-REx-ID: 15011 |
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
2023 | Conference Paper | IST-REx-ID: 13053 |
Peste, Elena-Alexandra, et al. “CrAM: A Compression-Aware Minimizer.” 11th International Conference on Learning Representations .
[Preprint]
View
| Files available
| Download Preprint (ext.)
| arXiv
2023 | Conference Paper | IST-REx-ID: 14460 |
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
2021 | Conference Paper | IST-REx-ID: 11463 |
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