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Meta-Learning for Low-Resource Neural Machine Translation.

, , , , и . EMNLP, стр. 3622-3631. Association for Computational Linguistics, (2018)

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Xuewu Gu

Xiaogang Gu

Wei Gu

Hyosong Gu

Jie Gu

 

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Revisiting Self-Training for Neural Sequence Generation., , , и . CoRR, (2019)Intelligent Time-Adaptive Transient Stability Assessment System., , , , и . CoRR, (2016)Deep Learning Model to Estimate Air Pollution Using M-BP to Fill in Missing Proxy Urban Data., , , и . GLOBECOM, стр. 1-6. IEEE, (2017)Detecting Hallucinated Content in Conditional Neural Sequence Generation., , , , , и . CoRR, (2020)Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade., , , , , и . IWSLT, Association for Computational Linguistics, (2019)Universal Neural Machine Translation for Extremely Low Resource Languages., , , и . NAACL-HLT, стр. 344-354. Association for Computational Linguistics, (2018)Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders., , , , , и . EACL, стр. 1613-1624. Association for Computational Linguistics, (2021)Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation., , , , , и . COLING, стр. 3520-3533. International Committee on Computational Linguistics, (2020)f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation., , , , и . CoRR, (2022)Learning Controllable 3D Diffusion Models from Single-view Images., , , , , и . CoRR, (2023)