Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Recurrent neural network training with preconditioned stochastic gradient descent
On the difficulty of training Recurrent Neural Networks
Optimizing Recurrent Neural Networks Architectures under Time Constraints
On the Approximation Capability of Recurrent Neural Networks
Generalization of Back propagation to Recurrent and Higher Order Neural Networks
gradient calculations for dynamic recurrent neural networks : a survey .
SGDR: Stochastic Gradient Descent with Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
Parle: parallelizing stochastic gradient descent
The''echo state''approach to analysing and training recurrent neural networks
Sequence Level Training with Recurrent Neural Networks
Verification of Recurrent Neural Networks
A guide to recurrent neural networks and backpropagation
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields
Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
Learning Longer Memory in Recurrent Neural Networks
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Dropout algorithms for recurrent neural networks
Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning
Adaptive Computation Time for Recurrent Neural Networks
Batch normalized recurrent neural networks
Translational Oral Health Research
Fast motion estimation methods for HEVC
Finding Structure in Time
FITC-Conjugated Cyclic RGD Peptides as Fluorescent Probes for Staining Integrin αvβ3/αvβ5 in Tumor Tissues
Intrusion detection system for high-speed network