Instructor
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| Eva Mohedano (EM) |
Video lecture
(to be added)
Related papers
Drop out
- Hinton, Geoffrey E., Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R. Salakhutdinov. “Improving neural networks by preventing co-adaptation of feature detectors.” arXiv preprint arXiv:1207.0580 (2012).
- Baldi, Pierre, and Peter J. Sadowski. “Understanding dropout.” In Advances in Neural Information Processing Systems, pp. 2814-2822. 2013.
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- Srivastava, Nitish, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. “Dropout: A simple way to prevent neural networks from overfitting.” The Journal of Machine Learning Research 15, no. 1 (2014): 1929-1958.
Max out
- Goodfellow, I., Warde-farley, D., Mirza, M., Courville, A. and Bengio, Y., 2013. Maxout Networks. In Proceedings of the 30th International Conference on Machine Learning (ICML-13) (pp. 1319-1327).