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

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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.

@@ Line 3: / Line 3: @@
 * 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''.
+* Su, J. et al. (2021). "RoFormer: Enhanced {{Term|transformer|transformer}} with Rotary Position {{Term|embedding|embedding}}". ''arXiv:2104.09864''.