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Data Scaling Laws in NMT: The Effect of Noise and Architecture., , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 1466-1482. PMLR, (2022)A Loss Curvature Perspective on Training Instabilities of Deep Learning Models., , , , , , , , и . ICLR, OpenReview.net, (2022)Scaling Laws for Neural Machine Translation., , , , , , , и . ICLR, OpenReview.net, (2022)An Investigation into Neural Net Optimization via Hessian Eigenvalue Density., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 2232-2241. PMLR, (2019)Examining Scaling and Transfer of Language Model Architectures for Machine Translation., , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 26176-26192. PMLR, (2022)Linearized two-layers neural networks in high dimension., , , и . CoRR, (2019)Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation., , и . EMNLP (Findings), стр. 9198-9209. Association for Computational Linguistics, (2023)Binarized Neural Machine Translation., , , , , , и . CoRR, (2023)Limitations of Lazy Training of Two-layers Neural Networks, , , и . (2019)cite arxiv:1906.08899Comment: 39 pages; 2 pdf figures.Scaling Laws for Multilingual Neural Machine Translation., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 10053-10071. PMLR, (2023)