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[1] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[2] Jaehoon Lee,et al. Deep Neural Networks as Gaussian Processes , 2017, ICLR.
[3] David Rolnick,et al. How to Start Training: The Effect of Initialization and Architecture , 2018, NeurIPS.
[4] Tim Salimans,et al. Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks , 2016, NIPS.
[5] Yann LeCun,et al. Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks , 2018, ArXiv.
[6] Venu Govindaraju,et al. Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks , 2016, ICML.
[7] Surya Ganguli,et al. Exponential expressivity in deep neural networks through transient chaos , 2016, NIPS.
[8] Yoshua Bengio,et al. A Closer Look at Memorization in Deep Networks , 2017, ICML.
[9] W. B. Johnson,et al. Extensions of Lipschitz mappings into Hilbert space , 1984 .
[10] Surya Ganguli,et al. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks , 2013, ICLR.
[11] Mohammed Bennamoun,et al. How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances? , 2015, ICML.
[12] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Surya Ganguli,et al. Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice , 2017, NIPS.
[14] Tamás Sarlós,et al. Improved Approximation Algorithms for Large Matrices via Random Projections , 2006, 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06).
[15] Aleksander Madry,et al. How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift) , 2018, NIPS 2018.
[16] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[17] Boris Hanin,et al. Which Neural Net Architectures Give Rise To Exploding and Vanishing Gradients? , 2018, NeurIPS.
[18] Ryota Tomioka,et al. In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning , 2014, ICLR.
[19] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[20] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[21] Surya Ganguli,et al. The Emergence of Spectral Universality in Deep Networks , 2018, AISTATS.
[22] Sanjeev Arora,et al. On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization , 2018, ICML.
[23] Aleksander Madry,et al. How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift) , 2018, NeurIPS.