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| + | https://arxiv.org/abs/1606.03498v1 Improved Techniques for Training GANs | ||
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| + | Label smoothing, a technique from the 1980s recently independently re-discovered by Szegedy et. | ||
| + | al [17], replaces the 0 and 1 targets for a classifier with smoothed values, like .9 or .1, and was | ||
| + | recently shown to reduce the vulnerability of neural networks to adversarial examples [18]. | ||
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| + | [17] C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna. Rethinking the Inception Architecture for | ||
| + | Computer Vision. ArXiv e-prints, December 2015. | ||
| + | [18] David Warde-Farley and Ian Goodfellow. Adversarial perturbations of deep neural networks. In Tamir | ||
| + | Hazan, George Papandreou, and Daniel Tarlow, editors, Perturbations, Optimization, and Statistics, chapter | ||
| + | 11. 2016. Book in preparation for MIT Press. | ||
