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Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning.

C. Park, Y. Tae, T. Kim, S. Yang, M. Khan, L. Park, и J. Choo. ACL/IJCNLP (1), стр. 2888-2901. Association for Computational Linguistics, (2021)

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Kai Taeger

Eberhard Taeger

Friedrich Wilhelm Taeger

Hans Taeger

Tilman Taeger

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ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed.C. Park, C. Lee, H. Bahng, Y. Tae, S. Jin, K. Kim, S. Ko, и J. Choo. CIKM, стр. 1215-1224. ACM, (2020)A Visual Analytics System for Improving Attention-based Traffic Forecasting Models.S. Jin, H. Lee, C. Park, H. Chu, Y. Tae, J. Choo, и S. Ko. IEEE Trans. Vis. Comput. Graph., 29 (1): 1102-1112 (2023)Improving Mortality Prediction in ICU by Learning Long-Tailed Population of Patients Through Graph-Domain Aggregation.Y. Shin, Y. Tae, и Y. Lee. IEEE Access, (2022)Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift.T. Kim, J. Kim, Y. Tae, C. Park, J. Choi, и J. Choo. ICLR, OpenReview.net, (2022)Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning.C. Park, Y. Tae, T. Kim, S. Yang, M. Khan, L. Park, и J. Choo. ACL/IJCNLP (1), стр. 2888-2901. Association for Computational Linguistics, (2021)PePe: Personalized Post-editing Model utilizing User-generated Post-edits.J. Lee, T. Kim, Y. Tae, C. Park, и J. Choo. CoRR, (2022)PePe: Personalized Post-editing Model utilizing User-generated Post-edits.J. Lee, T. Kim, Y. Tae, C. Park, и J. Choo. EACL (Findings), стр. 239-253. Association for Computational Linguistics, (2023)Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation.Y. Tae, C. Park, T. Kim, S. Yang, M. Khan, E. Park, T. Qin, и J. Choo. CoRR, (2020)Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-LearningC. Park, Y. Tae, T. Kim, S. Yang, M. Khan, L. Park, и J. Choo. (18.10.2020)A Visual Analytics System for Improving Attention-based Traffic Forecasting Models.S. Jin, H. Lee, C. Park, H. Chu, Y. Tae, J. Choo, и S. Ko. CoRR, (2022)

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