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An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation.

, , and . MIPR, page 67-72. IEEE, (2020)

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A fast numerical scheme for causal relativistic hydrodynamics with dissipation., and . J. Comput. Phys., 230 (18): 7002-7017 (2011)An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation., , and . MIPR, page 67-72. IEEE, (2020)Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction., , , , , , and . CoRR, (2021)An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks., and . MIPR, page 49-55. IEEE, (2021)A new scheme of causal viscous hydrodynamics for relativistic heavy-ion collisions: A Riemann solver for quark-gluon plasma., , , and . J. Comput. Phys., (2014)PDEBENCH: An Extensive Benchmark for Scientific Machine Learning, , , , , , and . (2023)PDEBench: An Extensive Benchmark for Scientific Machine Learning., , , , , , and . NeurIPS, (2022)Learning Neural PDE Solvers with Parameter-Guided Channel Attention., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 33448-33467. PMLR, (2023)MILIE: Modular & Iterative Multilingual Open Information Extraction., , , , , , , and . ACL (1), page 6939-6950. Association for Computational Linguistics, (2022)