Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
A Practical Bayesian Framework for Backpropagation Networks
Experiments on learning by back propagation
Fast Training of Multilayer Perceptrons
An Empirical Study of Learning Speed in Back-Propagation Networks
BackPropagation Through Time
Practical Bayesian Learning of Neural Networks via Adaptive Subgradient Methods
Privacy-Preserving Backpropagation Neural Network Learning
Learning Neural Network Architectures using Backpropagation
Differentiable plasticity: training plastic neural networks with backpropagation
Equivalence of Equilibrium Propagation and Recurrent Backpropagation
Random feedback weights support learning in deep neural networks
Neural Expectation Maximization
Matrix Backpropagation for Deep Networks with Structured Layers
Softprop: softmax neural network backpropagation learning
Structural and Parametric Evolution of Continuous-Time Recurrent Neural Networks
Deriving optimal weights in deep neural networks
A simple procedure for pruning back-propagation trained neural networks
A Theoretical Framework for Back-Propagation
Dynamic Node Creation in Backpropagation Networks
Training Deep Spiking Neural Networks Using Backpropagation
Geometric Network Comparisons
Applications of Dual Quaternions in Three Dimensional Transformation and Interpolation
Loopy Belief Propagation for Approximate Inference: An Empirical Study
Quality of life after spinal cord injury: a meta-synthesis of qualitative findings.
Dynamic Coattention Networks with Encoder Maxout