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Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks., , , , , , , , и . CoRR, (2019)NeMo: a toolkit for building AI applications using Neural Modules, , , , , , , , , и 4 other автор(ы). (2019)cite arxiv:1909.09577Comment: 6 pages plus references.Leveraging Synthetic Targets for Machine Translation., , и . ACL (Findings), стр. 9365-9379. Association for Computational Linguistics, (2023)HelpSteer2: Open-source dataset for training top-performing reward models., , , , , , , , и . CoRR, (2024)Integrative Network Alignment Reveals Large Regions of Global Network Similarity in Yeast and Human, и . Bioinformatics, 27 (10): 1390--1396 (16.03.2011)Topological network alignment uncovers biological function and phylogeny, , , , и . Journal of The Royal Society Interface, 7 (50): 1341--1354 (17.03.2010)Geometric Evolutionary Dynamics of Protein Interaction Networks., , , и . Pacific Symposium on Biocomputing, стр. 178-189. World Scientific Publishing, (2010)SPGISpeech: 5, 000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition., , , , , , , , , и 3 other автор(ы). Interspeech, стр. 1434-1438. ISCA, (2021)Training Deep AutoEncoders for Collaborative Filtering., и . CoRR, (2017)NVIDIA NeMo's Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21., , , и . WMT@EMNLP, стр. 197-204. Association for Computational Linguistics, (2021)