Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Revisiting the Hierarchical Multiscale LSTM
Hierarchical Multiscale Recurrent Neural Networks
Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning
Modeling Time-Frequency Patterns with LSTM vs. Convolutional Architectures for LVCSR Tasks
Language modeling with highway LSTM
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets
Learning Precise Timing with LSTM Recurrent Networks
Interpretable Structure-Evolving LSTM
Proposing Multimodal Integration Model Using LSTM and Autoencoder
Deep Multiscale Model Learning
Depth-Gated LSTM
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
Hierarchical Multimodal LSTM for Dense Visual-Semantic Embedding
Supertagging With LSTMs
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network
Deep Canonically Correlated LSTMs
LSTM Neural Networks for Language Modeling
Regularizing and Optimizing LSTM Language Models
Layer Recurrent Neural Networks
Factorization tricks for LSTM networks
BabyTalk: Understanding and Generating Simple Image Descriptions
A Study on Energy Efficient Routing Protocolsin MANETs with Effect on Selfish Behaviour
Aspect Extraction through Semi-Supervised Modeling
Genetics of human enteric neuropathies
YASENN: Explaining Neural Networks via Partitioning Activation Sequences