Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: An Investigation into Neural Net Optimization via Hessian Eigenvalue Density
Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond
Tuning of the structure and parameters of a neural network using an improved genetic algorithm
Newton's method and its use in optimization
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
The Goldilocks zone: Towards better understanding of neural network loss landscapes
A Practical Bayesian Framework for Backpropagation Networks
A One-Layer Recurrent Neural Network for Constrained Nonsmooth Optimization
Gradient Descent Finds Global Minima of Deep Neural Networks
Reinforced backpropagation for deep neural network learning
A Variational Perspective on Accelerated Methods in Optimization
XPONENTIALLY VANISHING SUB-OPTIMAL LOCAL MINIMA IN MULTILAYER NEURAL NETWORKS
On the Convergence of SGD Training of Neural Networks
Eigenvalue Spectra of Random Matrices for Neural Networks
A Practical Bayesian Framework for Backprop Networks
Training Neural Nets with the Reactive Tabu Search
On the Limited Memory BFGS Method for Large Scale Optimization
Complex-Valued Neural Networks Training: A Particle Swarm Optimization Strategy
Direct Neural-Network Hardware-Implementation Algorithm
Graph HyperNetworks for Neural Architecture Search
N ov 2 01 8 Gradient Descent Finds Global Minima of Deep Neural Networks
Compact Triband Square-Slot Antenna With Symmetrical L-Strips for WLAN/WiMAX Applications
Perceived effects of midwives attitude towards women in labour in Bayelsa State, Nigeria
The Loss Surfaces of Multilayer Networks
DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications
A Content Management Perspective on Fact-Checking