% references.bib -- bibliography for the PubArx template example (main.tex) % % Tips % * Use one entry per work and a stable key such as author-year-word. % * Give a DOI whenever the work has one (doi = {10....}, without the % https://doi.org/ prefix); the class turns it into a link. % * Protect capitals that must stay capitalised with braces: {FAIR}, {GShard}. % * BibTeX only prints entries that you cite with \citep or \citet. @article{jacobs1991adaptive, author = {Jacobs, Robert A. and Jordan, Michael I. and Nowlan, Steven J. and Hinton, Geoffrey E.}, title = {Adaptive Mixtures of Local Experts}, journal = {Neural Computation}, year = {1991}, volume = {3}, number = {1}, pages = {79--87}, doi = {10.1162/neco.1991.3.1.79} } @inproceedings{shazeer2017outrageously, author = {Shazeer, Noam and Mirhoseini, Azalia and Maziarz, Krzysztof and Davis, Andy and Le, Quoc and Hinton, Geoffrey and Dean, Jeff}, title = {Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2017}, url = {https://arxiv.org/abs/1701.06538} } @article{lecun2015deep, author = {LeCun, Yann and Bengio, Yoshua and Hinton, Geoffrey}, title = {Deep Learning}, journal = {Nature}, year = {2015}, volume = {521}, number = {7553}, pages = {436--444}, doi = {10.1038/nature14539} } @inproceedings{vaswani2017attention, author = {Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N. and Kaiser, {\L}ukasz and Polosukhin, Illia}, title = {Attention Is All You Need}, booktitle = {Advances in Neural Information Processing Systems}, volume = {30}, pages = {5998--6008}, year = {2017} } @inproceedings{lepikhin2021gshard, author = {Lepikhin, Dmitry and Lee, HyoukJoong and Xu, Yuanzhong and Chen, Dehao and Firat, Orhan and Huang, Yanping and Krikun, Maxim and Shazeer, Noam and Chen, Zhifeng}, title = {{GShard}: Scaling Giant Models with Conditional Computation and Automatic Sharding}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://arxiv.org/abs/2006.16668} } @article{fedus2022switch, author = {Fedus, William and Zoph, Barret and Shazeer, Noam}, title = {Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity}, journal = {Journal of Machine Learning Research}, year = {2022}, volume = {23}, number = {120}, pages = {1--39}, url = {https://jmlr.org/papers/v23/21-0998.html} } @misc{gao2017properties, author = {Gao, Bolin and Pavel, Lacra}, title = {On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning}, howpublished = {arXiv preprint arXiv:1704.00805}, year = {2017}, url = {https://arxiv.org/abs/1704.00805} } @book{horn2012matrix, author = {Horn, Roger A. and Johnson, Charles R.}, title = {Matrix Analysis}, edition = {Second}, publisher = {Cambridge University Press}, address = {Cambridge}, year = {2012} } @inproceedings{miyato2018spectral, author = {Miyato, Takeru and Kataoka, Toshiki and Koyama, Masanori and Yoshida, Yuichi}, title = {Spectral Normalization for Generative Adversarial Networks}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2018}, url = {https://arxiv.org/abs/1802.05957} } @inproceedings{kingma2015adam, author = {Kingma, Diederik P. and Ba, Jimmy}, title = {Adam: A Method for Stochastic Optimization}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2015}, url = {https://arxiv.org/abs/1412.6980} } @article{wilkinson2016fair, author = {Wilkinson, Mark D. and Dumontier, Michel and Aalbersberg, IJsbrand Jan and Appleton, Gabrielle and Axton, Myles and Baak, Arie and others}, title = {The {FAIR} Guiding Principles for Scientific Data Management and Stewardship}, journal = {Scientific Data}, year = {2016}, volume = {3}, pages = {160018}, doi = {10.1038/sdata.2016.18} } @article{brand2015beyond, author = {Brand, Amy and Allen, Liz and Altman, Micah and Hlava, Marjorie and Scott, Jo}, title = {Beyond Authorship: Attribution, Contribution, Collaboration, and Credit}, journal = {Learned Publishing}, year = {2015}, volume = {28}, number = {2}, pages = {151--155}, doi = {10.1087/20150211} }