Stability/Robustness

B. Sengupta, K. Friston, “How Robust are Deep Neural Networks?”, Preprint, 2018.

S. Zheng, Y. Song, T. Leung, I. Goodfellow, “Improving the Robustness of Deep Neural Networks via Stability Training”, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, pages 4480-4488, 2018.

R. Giryes, G. Sapiro, A. Bronstein, “On the stability of deep networks”, International Conference on Machine Learning, ICLR 2015, 2015.

E. Haber, L. Ruthotto, “Stable Architectures for Deep Neural Network”s, Inverse Problems, Volume 34 , No. 1, 2017.

B. Chang, L. Meng, E. Haber, L. Ruthotto, D. Begert, E. Holtham, “Reversible Architectures for Arbitrarily Deep Residual Neural Networks”, AAAI Conference on Artificial Intelligence, AAAI 2018, pages 2811-2818, 2018.

S. Malladi, I. Sharapov, “FastNorm: Improving Numerical Stability of Deep Network Training with Efficient Normalization”, International Conference on Machine Learning, ICLR 2018, 2018.