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by Yee Wei Law - Friday, 16 June 2023, 2:25 PM

References

[Mur22]	K. P. Murphy, Probabilistic Machine Learning: An Introduction, MIT Press, 2022. Available at http://probml.ai.
[ZQD+21]	F. Zhuang, Z. Qi, K. Duan, D. Xi, Y. Zhu, H. Zhu, H. Xiong, and Q. He, A comprehensive survey on transfer learning, Proceedings of the IEEE 109 no. 1 (2021), 43–76. https://doi.org/10.1109/JPROC.2020.3004555.

Keyword(s):

by Yee Wei Law - Sunday, 2 February 2025, 3:53 PM

[BCB15]	D. Bahdanau, K. Cho, and Y. Bengio, Neural machine translation by jointly learning to align and translate, in ICLR, 2015. https://doi.org/10.48550/arXiv.1409.0473.
[BB24]	C. M. Bishop and H. Bishop, Deep Learning: Foundations and Concepts, Springer Cham, 2024. https://doi.org/10.1007/978-3-031-45468-4.
[VSP+17]	A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. U. Kaiser, and I. Polosukhin, Attention is all you need, in Advances in Neural Information Processing Systems (I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett, eds.), 30, Curran Associates, Inc., 2017. Available at https://proceedings.neurips.cc/paper_files/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf.

Keyword(s):

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