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Large scale distributed neural network training through online distillation, , , , , и . (2018)cite arxiv:1804.03235.N-Grammer: Augmenting Transformers with latent n-grams., , , , , , , , , и 5 other автор(ы). CoRR, (2022)LocoProp: Enhancing BackProp via Local Loss Optimization., , и . CoRR, (2021)LocoProp: Enhancing BackProp via Local Loss Optimization., , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 9626-9642. PMLR, (2022)On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models., , , , , , , , , и 2 other автор(ы). ORSUM@RecSys, том 3303 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling, , , , , , , , , и 81 other автор(ы). (2019)cite arxiv:1902.08295.Measuring and Harnessing Transference in Multi-Task Learning., , , , , и . CoRR, (2020)Efficiently Identifying Task Groupings for Multi-Task Learning., , , , , и . CoRR, (2021)TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank., , , , , , , , , и . KDD, стр. 2970-2978. ACM, (2019)Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions., , , , и . CoRR, (2023)