44 lines
1.3 KiB
BibTeX
44 lines
1.3 KiB
BibTeX
|
|
@inproceedings{goodfellow2013maxout,
|
|
title={Maxout networks},
|
|
author={Goodfellow, Ian and Warde-Farley, David and Mirza, Mehdi and Courville, Aaron and Bengio, Yoshua},
|
|
booktitle={International conference on machine learning},
|
|
pages={1319--1327},
|
|
year={2013},
|
|
organization={PMLR}
|
|
}
|
|
|
|
@article{srivastava2014dropout,
|
|
title={Dropout: a simple way to prevent neural networks from overfitting},
|
|
author={Srivastava, Nitish and Hinton, Geoffrey and Krizhevsky, Alex and Sutskever, Ilya and Salakhutdinov, Ruslan},
|
|
journal={The journal of machine learning research},
|
|
volume={15},
|
|
number={1},
|
|
pages={1929--1958},
|
|
year={2014},
|
|
publisher={JMLR. org}
|
|
}
|
|
|
|
@book{Goodfellow-et-al-2016,
|
|
title={Deep Learning},
|
|
author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
|
|
publisher={MIT Press},
|
|
note={\url{http://www.deeplearningbook.org}},
|
|
year={2016}
|
|
}
|
|
|
|
@inproceedings{ng2004feature,
|
|
title={Feature selection, L1 vs. L2 regularization, and rotational invariance},
|
|
author={Ng, Andrew Y},
|
|
booktitle={Proceedings of the twenty-first international conference on Machine learning},
|
|
pages={78},
|
|
year={2004}
|
|
}
|
|
|
|
@inproceedings{loshchilov2019decoupled,
|
|
title={Decoupled weight decay regularization},
|
|
author={Loshchilov, Ilya and Hutter, Frank},
|
|
booktitle={International Conference on Learning Representations (ICLR)},
|
|
year={2019}
|
|
}
|