Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: An iterative pruning algorithm for feedforward neural networks
Neural net pruning-why and how
DANNP: an efficient artificial neural network pruning tool
A hybrid particle swarm optimization – backpropagation algorithm for feedforward neural network training
Reinforced backpropagation for deep neural network learning
Simplified Stochastic Feedforward Neural Networks
An effective algorithm for hyperparameter optimization of neural networks
Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks
Crossbar-aware neural network pruning
A modified ELM algorithm for single-hidden layer feedforward neural networks with linear nodes
Pruned and Structurally Sparse Neural Networks.
Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping
Professor Forcing: A New Algorithm for Training Recurrent Networks
Data-free parameter pruning for Deep Neural Networks
FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks
Neural Network Learning Without Backpropagation
On the Computational Efficiency of Training Neural Networks
Techniques for Learning Binary Stochastic Feedforward Neural Networks
Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions
Neural Networks: Tricks of the Trade
A Single Hidden Layer Feedforward Network with Only One Neuron in the Hidden Layer Can Approximate Any Univariate Function
MANET simulation studies: the incredibles
Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows
Algorithms for clustering data
Trading the Twitter Sentiment with Reinforcement Learning
Experiments on learning by back propagation