Translations:Attention Mechanisms/37/zh: Difference between revisions

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    (Batch translate Attention Mechanisms unit 37 → zh)
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    * Bahdanau, D., Cho, K. 与 Bengio, Y. (2015). "Neural Machine Translation by Jointly Learning to Align and Translate". ''ICLR''.
    * Bahdanau, D., Cho, K. and Bengio, Y. (2015). "Neural Machine Translation by Jointly Learning to Align and Translate". ''ICLR''.
    * Luong, M.-T., Pham, H. 与 Manning, C. D. (2015). "Effective Approaches to Attention-based Neural Machine Translation". ''EMNLP''.
    * Luong, M.-T., Pham, H. and Manning, C. D. (2015). "Effective Approaches to Attention-based Neural Machine Translation". ''EMNLP''.
    * Vaswani, A. et al. (2017). "Attention Is All You Need". ''NeurIPS''.
    * Vaswani, A. et al. (2017). "Attention Is All You Need". ''NeurIPS''.
    * Shaw, P., Uszkoreit, J. 与 Vaswani, A. (2018). "Self-Attention with Relative Position Representations". ''NAACL''.
    * Shaw, P., Uszkoreit, J. and Vaswani, A. (2018). "Self-Attention with Relative Position Representations". ''NAACL''.
    * Su, J. et al. (2021). "RoFormer: Enhanced Transformer with Rotary Position Embedding". ''arXiv:2104.09864''.
    * Su, J. et al. (2021). "RoFormer: Enhanced Transformer with Rotary Position Embedding". ''arXiv:2104.09864''.

    Revision as of 21:58, 27 April 2026

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    Message definition (Attention Mechanisms)
    * Bahdanau, D., Cho, K. and Bengio, Y. (2015). "Neural Machine Translation by Jointly Learning to Align and Translate". ''ICLR''.
    * Luong, M.-T., Pham, H. and Manning, C. D. (2015). "Effective Approaches to Attention-based Neural Machine Translation". ''EMNLP''.
    * Vaswani, A. et al. (2017). "Attention Is All You Need". ''NeurIPS''.
    * Shaw, P., Uszkoreit, J. and Vaswani, A. (2018). "Self-Attention with Relative Position Representations". ''NAACL''.
    * Su, J. et al. (2021). "RoFormer: Enhanced {{Term|transformer}} with Rotary Position {{Term|embedding}}". ''arXiv:2104.09864''.
    • Bahdanau, D., Cho, K. and Bengio, Y. (2015). "Neural Machine Translation by Jointly Learning to Align and Translate". ICLR.
    • Luong, M.-T., Pham, H. and Manning, C. D. (2015). "Effective Approaches to Attention-based Neural Machine Translation". EMNLP.
    • Vaswani, A. et al. (2017). "Attention Is All You Need". NeurIPS.
    • Shaw, P., Uszkoreit, J. and Vaswani, A. (2018). "Self-Attention with Relative Position Representations". NAACL.
    • Su, J. et al. (2021). "RoFormer: Enhanced Transformer with Rotary Position Embedding". arXiv:2104.09864.
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