Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Modeling intra-label dynamics in connectionist temporal classification
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Time Series Prediction by Using a Connectionist Network with Internal Delay Lines
Temporal-Difference Networks
Learning Dynamic Generator Model by Alternating Back-Propagation Through Time
Scene Labeling using Gated Recurrent Units with Explicit Long Range Conditioning
Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
Active Long Term Memory Networks
Symbols Among the Neurons: Details of a Connectionist Inference Architecture
Learning and Problem Solving with Multilayer Connectionist Systems
BACKPROPAGATION THROUGH TIME: WHAT IT DOES AND HOW TO DO IT
Dynamically Constraining Connectionist Networks to Produce Distributed, Orthogonal Representations to Reduce Catastrophic Interference
Least-Squares Temporal Difference Learning
Professor Forcing: A New Algorithm for Training Recurrent Networks
On Convergence of Emphatic Temporal-Difference Learning
Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning
Positive Unlabeled Learning for Time Series Classification
Efficient Label Propagation
On the Learning Dynamics of Deep Neural Networks
Continual and One-Shot Learning Through Neural Networks with Dynamic External Memory
Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks
Evaluation of Multi-view 3D Reconstruction Software
Whisper: Tracing the Spatiotemporal Process of Information Diffusion in Real Time
Tandem connectionist feature extraction for conventional HMM systems
Self-Calibrated Knee Voltage Detector With 99.65% High Accuracy for AC Charger System in 0.5 $\mu{\rm m}$ 500 V UHV Process
Prague Markup Language Framework