Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Gated End-to-End Memory Networks
End-To-End Memory Networks
Understanding and Controlling Memory in Recurrent Neural Networks
Weakly Supervised Memory Networks
Learning Longer Memory in Recurrent Neural Networks
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems
Accelerating Recurrent Neural Networks: A Memory-Efficient Approach
Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency
Detecting Memorization in ReLU Networks
A Closer Look at Memorization in Deep Networks
On the Long-Term Memory of Deep Recurrent Networks
A Taxonomy for Neural Memory Networks
Evolving memory-augmented neural architecture for deep memory problems
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module
On the Duration, Addressability, and Capacity of Memory-Augmented Recurrent Neural Networks
One-shot Learning with Memory-Augmented Neural Networks
Understanding Hidden Memories of Recurrent Neural Networks
Gate-variants of Gated Recurrent Unit (GRU) neural networks
Accelerating Neural Networks using Channel Gating
Gated networks: an inventory
LightRNN: Memory and Computation-Efficient Recurrent Neural Networks
CPU scheduling and memory management for interactive real-time applications
Learning Long-Term Dependencies with Gradient Descent is Difficult
Feature Selection in Automatic Music Genre Classification
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Cell Counting by Regression Using Convolutional Neural Network