Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: A new weight initialization method for sigmoidal feedforward artificial neural networks
A weight initialization method for improving training speed in feedforward neural network
Deriving optimal weights in deep neural networks
Random Walk Initialization for Training Very Deep Feedforward Networks
On the Convergence of SGD Training of Neural Networks
Back Propagation is Sensitive to Initial Conditions
An Optimization Methodology for Neural Network Weights and Architectures
Fixed-point feedforward deep neural network design using weights +1, 0, and −1
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Simplifying Neural Networks by Soft Weight-Sharing
Random feedback weights support learning in deep neural networks
Deterministic convergence of conjugate gradient method for feedforward neural networks
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning
On the importance of initialization and momentum in deep learning
Learning both Weights and Connections for Efficient Neural Networks
Efficient FPGA Implementation of Sigmoid and Bipolar Sigmoid Activation Functions for Multilayer Perceptrons
A novel activation function for multilayer feed-forward neural networks
Training a single sigmoidal neuron is hard.
How Important is Weight Symmetry in Backpropagation?
Keeping the neural networks simple by minimizing the description length of the weights
Deep Neural Network Initialization With Decision Trees
Feature discovery by competitive learning
Superficial Lymphangitis after Insect Bite
A microstrip-line-fed tri-band monopole antenna for WLAN/WiMAX applications
duplicate question pair detection with deep learning .
SayWAT: Augmenting Face-to-Face Conversations for Adults with Autism