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121 Publications


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
 

2023 | Conference Paper | IST-REx-ID: 14458 | OA
Frantar, Elias, and Dan-Adrian Alistarh. “SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 10323–37.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2023 | Journal Article | IST-REx-ID: 14364 | OA
Alistarh, Dan-Adrian, et al. “Why Extension-Based Proofs Fail.” SIAM Journal on Computing, vol. 52, no. 4, Society for Industrial and Applied Mathematics, 2023, pp. 913–44, doi:10.1137/20M1375851.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14771 | OA
Iofinova, Eugenia B., et al. “Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures.” 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2023, pp. 24364–73, doi:10.1109/cvpr52729.2023.02334.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2023 | Journal Article | IST-REx-ID: 14815 | OA
Beznosikov, Aleksandr, et al. “On Biased Compression for Distributed Learning.” Journal of Machine Learning Research, vol. 24, Journal of Machine Learning Research, 2023, pp. 1–50.
[Published Version] View | Files available | WoS | arXiv
 

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