DL-Paper-Notes

My notes on a few Deep Learning and Machine Learning Papers.

Citations:

1. 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}
        }
   

2. 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}
        }
   

3. 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}
        }