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121 Publications

2020 | Conference Paper | IST-REx-ID: 7803 | OA
Czumaj, Artur, et al. “Simple, Deterministic, Constant-Round Coloring in the Congested Clique.” Proceedings of the 2020 ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2020, pp. 309–18, doi:10.1145/3382734.3405751.
[Submitted Version] View | Files available | DOI | arXiv
 
2020 | Conference Paper | IST-REx-ID: 8725 | OA
Aksenov, Vitaly, et al. “The Splay-List: A Distribution-Adaptive Concurrent Skip-List.” 34th International Symposium on Distributed Computing, vol. 179, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020, p. 3:1-3:18, doi:10.4230/LIPIcs.DISC.2020.3.
[Published Version] View | Files available | DOI | arXiv
 
2020 | Conference Paper | IST-REx-ID: 9632 | OA
Singh, Sidak Pal, and Dan-Adrian Alistarh. “WoodFisher: Efficient Second-Order Approximation for Neural Network Compression.” Advances in Neural Information Processing Systems, vol. 33, Curran Associates, 2020, pp. 18098–109.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 9631 | OA
Aksenov, Vitaly, et al. “Scalable Belief Propagation via Relaxed Scheduling.” Advances in Neural Information Processing Systems, vol. 33, Curran Associates, 2020, pp. 22361–72.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 9415 | OA
Kurtz, Mark, et al. “Inducing and Exploiting Activation Sparsity for Fast Neural Network Inference.” 37th International Conference on Machine Learning, ICML 2020, vol. 119, 2020, pp. 5533–43.
[Published Version] View | Files available
 

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