Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Learning Recurrent Neural Networks with Hessian-Free Optimization
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Expressive power of recurrent neural networks
Optimizing Recurrent Neural Networks Architectures under Time Constraints
Effective Quantization Approaches for Recurrent Neural Networks
Understanding Hidden Memories of Recurrent Neural Networks
Orthogonal and Idempotent Transformations for Learning Deep Neural Networks
Generalization of Back propagation to Recurrent and Higher Order Neural Networks
Complexity of exact gradient computation algorithms for recurrent neural networks
A generalized LSTM-like training algorithm for second-order recurrent neural networks
Orthogonal RNNs and Long-Memory Tasks
On the difficulty of training Recurrent Neural Networks
Chapter 3 EFFICIENT SECOND-ORDER LEARNING ALGORITHMS FOR DISCRETE-TIME RECURRENT NEURAL NETWORKS
LightRNN: Memory and Computation-Efficient Recurrent Neural Networks
Optimizing Performance of Recurrent Neural Networks on GPUs
Verification of Recurrent Neural Networks
Recent Advances in Recurrent Neural Networks
Noisin: Unbiased Regularization for Recurrent Neural Networks
RECURRENTNEURAL NETWORK REGULARIZATION
Quasi-Recurrent Neural Networks
matlab / simulink framework for modeling complex coolant flow configurations of advanced automotive thermal management systems preprint .
Inactive rhomboid proteins: New mechanisms with implications in health and disease
comparison of a fluid and a solid approach for the numerical simulation of friction stir welding with a non ‐ cylindrical pin .
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering