Update references

mlsys.bib

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+@article{rosenblatt1958perceptron,
+  title={The perceptron: a probabilistic model for information storage and organization in the brain.},
+  author={Rosenblatt, Frank},
+  journal={Psychological Review},
+  volume={65},
+  number={6},
+  pages={386},
+  year={1958},
+  publisher={American Psychological Association}
+}
+
+@article{lecun1989backpropagation,
+  title={Backpropagation applied to handwritten zip code recognition},
+  author={LeCun, Yann and Boser, Bernhard and Denker, John S and Henderson, Donnie and Howard, Richard E and Hubbard, Wayne and Jackel, Lawrence D},
+  journal={Neural computation},
+  volume={1},
+  number={4},
+  pages={541--551},
+  year={1989},
+  publisher={MIT Press}
+}
+
+@inproceedings{krizhevsky2012imagenet,
+  title={Imagenet classification with deep convolutional neural networks},
+  author={Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E},
+  booktitle={Advances in Neural Information Processing Systems},
+  pages={1097--1105},
+  year={2012}
+}
+
+@inproceedings{he2016deep,
+	title={{Deep Residual Learning for Image Recognition}},
+	author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
+	booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
+	year={2016}
+}
+
+@article{rumelhart1986learning,
+  title={Learning representations by back-propagating errors},
+  author={Rumelhart, David E and Hinton, Geoffrey E and Williams, Ronald J},
+  journal={Nature},
+  volume={323},
+  number={6088},
+  pages={533},
+  year={1986},
+  publisher={Nature Publishing Group}
+}
+
+@article{Hochreiter1997lstm,
+	author = {Hochreiter, Sepp and Hochreiter, S and Schmidhuber, J{\"{u}}rgen and Schmidhuber, J},
+	isbn = {08997667 (ISSN)},
+	issn = {0899-7667},
+	journal = {Neural Computation},
+	number = {8},
+	pages = {1735--80},
+	pmid = {9377276},
+	title = {{Long Short-Term Memory.}},
+	volume = {9},
+	year = {1997}
+}
+
+@inproceedings{vaswani2017attention,
+  title={Attention is all you need},
+  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},
+  booktitle={Advances in Neural Information Processing Systems},
+  pages={5998--6008},
+  year={2017}
+}
+
+@article{lecun2015deep,
+	title={Deep learning},
+	author={LeCun, Yann and Bengio, Yoshua and Hinton, Geoffrey},
+	journal={Nature},
+	volume={521},
+	number={7553},
+	pages={436},
+	year={2015},
+	publisher={Nature Publishing Group}
+}
+
+@inproceedings{KingmaAdam2014,
+	title = {{Adam}: A Method for Stochastic Optimization},
+	author = {Kingma, Diederik and Ba, Jimmy},
+	booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
+	year = {2014}
+}
+
+@techreport{tieleman2012rmsprop,
+	title={Divide the gradient by a running average of its recent magnitude. COURSERA: Neural networks for machine learning},
+	author={Tieleman, T and Hinton, G},
+	year={2017},
+	institution={Technical Report}
+}
+
+@article{duchi2011adagrad,
+	title={Adaptive subgradient methods for online learning and stochastic optimization},
+	author={Duchi, John and Hazan, Elad and Singer, Yoram},
+	journal={Journal of Machine Learning Research (JMLR)},
+	volume={12},
+	number={Jul},
+	pages={2121--2159},
+	year={2011}
+}