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121 Publications


2022 | Conference Paper | IST-REx-ID: 11180 | OA
Postnikova, Anastasiia, et al. “Multi-Queues Can Be State-of-the-Art Priority Schedulers.” Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Association for Computing Machinery, 2022, pp. 353–67, doi:10.1145/3503221.3508432.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2022 | Research Data Reference | IST-REx-ID: 13076 | OA
Postnikova, Anastasiia, et al. Multi-Queues Can Be State-of-the-Art Priority Schedulers. Zenodo, 2022, doi:10.5281/ZENODO.5733408.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 

2022 | Conference Paper | IST-REx-ID: 11707 | OA
Balliu, Alkida, et al. “Local Mending.” International Colloquium on Structural Information and Communication Complexity, edited by Merav Parter, vol. 13298, Springer Nature, 2022, pp. 1–20, doi:10.1007/978-3-031-09993-9_1.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2022 | Conference Paper | IST-REx-ID: 12299 | OA
Iofinova, Eugenia B., et al. “How Well Do Sparse ImageNet Models Transfer?” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 12256–66, doi:10.1109/cvpr52688.2022.01195.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2021 | Journal Article | IST-REx-ID: 10180 | OA
Hoefler, Torsten, et al. “Sparsity in Deep Learning: Pruning and Growth for Efficient Inference and Training in Neural Networks.” Journal of Machine Learning Research, vol. 22, no. 241, Journal of Machine Learning Research, 2021, pp. 1–124.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

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