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11. KanburoÄźlu. Audio Data Augmentation. 2018
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16. Xie, et al. Unsupervised Data Augmentation for Consistency Training. 2019
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19. Shorten, et al. A survey on Image Data Augmentation for Deep Learning. 2019
20. Calvo-Zaragoza, et al. Camera-Primus: Neural End-To-End Optical Music Recognition on Realistic Monophonic Scores. 2018
21. Ioffe, et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. 2015.
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23. Barnett. Rethinking Batch Normalization. 2019.
24. He, et al. Identity Mappings in Deep Residual Networks. 2016.
25. Klambauer, et al. Self-Normalizing Neural Networks. 2017.
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27. Rajpurkar, et al. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. 2017.
28. Su et al. One Pixel Attacks for Fooling Neural Networks. 2017.
29. Prija. Build Better Deep Learning Models with Batch and Layer Normalization.
30. Izmailov et al. Averaging Weights Leads to Wider Optima and Better Generalization. 2018