My notes on a few Deep Learning and Machine Learning Papers.
Citations:
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AutoAugment: Learning Augmentation Policies from Data
@article{DBLP:journals/corr/abs-1805-09501, author = {Ekin Dogus Cubuk and Barret Zoph and Dandelion Man{\'{e}} and Vijay Vasudevan and Quoc V. Le}, title = {AutoAugment: Learning Augmentation Policies from Data}, journal = {CoRR}, volume = {abs/1805.09501}, year = {2018}, url = {http://arxiv.org/abs/1805.09501}, archivePrefix = {arXiv}, eprint = {1805.09501}, timestamp = {Mon, 13 Aug 2018 16:48:44 +0200}, biburl = {https://dblp.org/rec/bib/journals/corr/abs-1805-09501}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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ShakeDrop Regularization for Deep Residual Learning
@article{DBLP:journals/corr/abs-1802-02375, author = {Yoshihiro Yamada and Masakazu Iwamura and Koichi Kise}, title = {ShakeDrop regularization}, journal = {CoRR}, volume = {abs/1802.02375}, year = {2018}, url = {http://arxiv.org/abs/1802.02375}, archivePrefix = {arXiv}, eprint = {1802.02375}, timestamp = {Mon, 13 Aug 2018 16:46:25 +0200}, biburl = {https://dblp.org/rec/bib/journals/corr/abs-1802-02375}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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A Closer look at Generalization in Deep Network
@inproceedings{arpit2017closer, title={A closer look at memorization in deep networks}, author={Arpit, Devansh and Jastrz{\k{e}}bski, Stanis{\l}aw and Ballas, Nicolas and Krueger, David and Bengio, Emmanuel and Kanwal, Maxinder S and Maharaj, Tegan and Fischer, Asja and Courville, Aaron and Bengio, Yoshua and others}, booktitle={Proceedings of the 34th International Conference on Machine Learning-Volume 70}, pages={233--242}, year={2017}, organization={JMLR. org} }