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Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks., , , , , , , , and . CoRR, (2019)NeMo: a toolkit for building AI applications using Neural Modules, , , , , , , , , and 4 other author(s). (2019)cite arxiv:1909.09577Comment: 6 pages plus references.Leveraging Synthetic Targets for Machine Translation., , and . ACL (Findings), page 9365-9379. Association for Computational Linguistics, (2023)Factorization tricks for LSTM networks., and . ICLR (Workshop), OpenReview.net, (2017)HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM., , , , , , , , , and 1 other author(s). CoRR, (2023)Mixed Precision Training, , , , , , , , , and 1 other author(s). (2017)cite arxiv:1710.03740Comment: Published as a conference paper at ICLR 2018.Mixed Precision Training., , , , , , , , , and 1 other author(s). ICLR (Poster), OpenReview.net, (2018)Jasper: An End-to-End Convolutional Neural Acoustic Model., , , , , , , and . INTERSPEECH, page 71-75. ISCA, (2019)Quartznet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions., , , , , , , , and . ICASSP, page 6124-6128. IEEE, (2020)Integrative Network Alignment Reveals Large Regions of Global Network Similarity in Yeast and Human, and . Bioinformatics, 27 (10): 1390--1396 (Mar 16, 2011)