Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: New Results on Recurrent Network Training: Unifying the Algorithms and Accelerating Convergence
Complexity of exact gradient computation algorithms for recurrent neural networks
Noisin: Unbiased Regularization for Recurrent Neural Networks
A guide to recurrent neural networks and backpropagation
Accelerating recurrent neural network training using sequence bucketing and multi-GPU data parallelization
Adaptive Computation Time for Recurrent Neural Networks
A Novel Framework for Recurrent Neural Networks with Enhancing Information Processing and Transmission between Units
Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning
Recurrent Highway Networks
Recurrent Additive Networks
Reinforced backpropagation for deep neural network learning
Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks
Better Mini-Batch Algorithms via Accelerated Gradient Methods
The Reversible Residual Network: Backpropagation Without Storing Activations
Quasi-Recurrent Neural Networks
gradient calculations for dynamic recurrent neural networks : a survey .
Multi-Task and Transfer Learning with Recurrent Neural Networks
RECURRENTNEURAL NETWORK REGULARIZATION
Verification of Recurrent Neural Networks
Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Continuum Delta Robot: a Novel Translational Parallel Robot with Continuum Joints
Recurrent neural networks and robust time series prediction
The Comparison of Forwarding Strategies between Best Route , Multicast , and Access on Named Data Networking ( NDN ) . Case Study : A Node Compromised by the Prefix Hijack
Strong sum distance in fuzzy graphs
Football Match Prediction Using Players Attributes