1. A. Krizhevsky, I. Sutskever, G. E. Hinton. ImageNet classification with deep convolutional neural networks. In Proceedings of the 25th International Conference on Neural Information Processing Systems, Lake Tahoe, USA, vol. 1, pp. 1097–1105, 2012.
2. Y. LeCun, Y. Bengio, G. Hinton. Deep learning. Nature, vol. 521, no. 7553, pp. 436–444, 2015. DOI: https://doi.org/10.1038/nature14539.
3. R. Geirhos, C. R. M. Temme, J. Rauber, H. H. Schütt, M. Bethge, F. A. Wichmann. Generalisation in humans and deep neural networks. In Proceedings of the 32nd International Conference on Neural Information Processing Systems, Montréal, Canada, pp. 7549–7561, 2018.
4. R. S. van Bergen, N. Kriegeskorte. Going in circles is the way forward: The role of recurrence in visual inference. Current Opinion in Neurobiology, vol. 65, pp. 176–193, 2020. DOI: https://doi.org/10.1016/j.conb.2020.11.009.
5. I. J. Goodfellow, J. Shlens, C. Szegedy. Explaining and harnessing adversarial examples. In Proceedings of the 3rd International Conference on Learning Representations, San Diego, USA, 2015.