Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Random synaptic feedback weights support error backpropagation for deep learning
Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network
Representation Benefits of Deep Feedforward Networks
How Important is Weight Symmetry in Backpropagation?
On weight initialization in deep neural networks
Random Walk Initialization for Training Very Deep Feedforward Networks
An analysis of training and generalization errors in shallow and deep networks
High-dimensional dynamics of generalization error in neural networks
Fixed-point feedforward deep neural network design using weights +1, 0, and −1
Learning both Weights and Connections for Efficient Neural Networks
An Empirical Study of Learning Speed in Back-Propagation Networks
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks
DropNeuron: Simplifying the Structure of Deep Neural Networks
The Reversible Residual Network: Backpropagation Without Storing Activations
The Influence of the Sigmoid Function Parameters on the Speed of Backpropagation Learning
On the Margin Theory of Feedforward Neural Networks
From Neural Networks to Deep Learning: zeroing in on the human brain
Deep Learning in Spiking Neural Networks
A New Backpropagation Algorithm without Gradient Descent
Bifurcations of Recurrent Neural Networks in Gradient Descent Learning
Gradient-Based Learning Algorithms for Recurrent Connectionist Networks
Mitigating Denial of Service (DoS) attacks in OpenFlow networks
the women ’ s empowerment in agriculture index .
A Multirelational Social Network Analysis of an Online Health Community for Smoking Cessation
WEIGHTED TEMPORAL PATTERN MINING WITH DIMENSIONALITY REDUCTION USING MODIFIED AFCM TECHNIQUE
to recognize shapes , first learn to generate images .