Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Nonlinear random matrix theory for deep learning
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Pushing the boundaries of parallel Deep Learning -- A practical approach
An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections
Understanding symmetries in deep networks
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds
A Spline Theory of Deep Networks.
Random Matrix Theory , Numerical Computation and Applications
Quantum Deep Learning
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
On the Depth of Deep Neural Networks: A Theoretical View
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations.
Learning a kernel matrix for nonlinear dimensionality reduction
Stochastic optimization for deep CCA via nonlinear orthogonal iterations
Building Deep Networks on Grassmann Manifolds
The nature of unsupervised learning in deep neural networks: A new understanding and novel approach
Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units
The Singular Values of Convolutional Layers
Singularity of the Hessian in Deep Learning
Moment inequalities for sums of random matrices and their applications in optimization
A Survey on 3D CAD model quality assurance and testing tools
Eating disorders in athletes: Overview of prevalence, risk factors and recommendations for prevention and treatment
Effective Approaches to Attention-based Neural Machine Translation
Neural correlates of mindfulness meditation-related anxiety relief
Customizing an Adversarial Example Generator with Class-Conditional GANs