Co-occurring keywords · papers mentioning both
Papers
Gradient descent aligns the layers of deep linear networks
ICLR 2019
Implicit Regularization in Deep Matrix Factorization
NeurIPS 2019
On Dropout and Nuclear Norm Regularization
ICML 2019
Small nonlinearities in activation functions create bad local minima in neural networks
ICLR 2019
Width Provably Matters in Optimization for Deep Linear Neural Networks
ICML 2019
Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global
ICML 2018
Exact natural gradient in deep linear networks and its application to the nonlinear case
NeurIPS 2018
Global Optimality Conditions for Deep Neural Networks
ICLR 2018
Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks
ICML 2018