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Scaling Laws for Neural Machine Translation., , , , , , , and . CoRR, (2021)Scaling Laws for Neural Machine Translation., , , , , , , and . ICLR, OpenReview.net, (2022)A Loss Curvature Perspective on Training Instabilities of Deep Learning Models., , , , , , , , and . ICLR, OpenReview.net, (2022)Data Scaling Laws in NMT: The Effect of Noise and Architecture., , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 1466-1482. PMLR, (2022)An Investigation into Neural Net Optimization via Hessian Eigenvalue Density., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2232-2241. PMLR, (2019)Order Matters in the Presence of Dataset Imbalance for Multilingual Learning., , , , , , , , and . CoRR, (2023)A Loss Curvature Perspective on Training Instability in Deep Learning., , , , , , , , and . CoRR, (2021)Limitations of Lazy Training of Two-layers Neural Networks, , , and . (2019)cite arxiv:1906.08899Comment: 39 pages; 2 pdf figures.Data Scaling Laws in NMT: The Effect of Noise and Architecture., , , , , , , and . CoRR, (2022)Adaptive Gradient Methods at the Edge of Stability., , , , , , , , , and 1 other author(s). CoRR, (2022)