Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Semi-Supervised Recursive Autoencoder
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
Semi-supervised Sequence Learning
Supervised representation learning: transfer learning with deep autoencoders
Semi-supervised Learning with Encoder-Decoder Recurrent Neural Networks: Experiments with Motion Capture Sequences
What Regularized Auto-Encoders Learn from the Data Generating Distribution
Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence Learning
Semi-supervised Learning
Lateral Connections in Denoising Autoencoders Support Supervised Learning
Semi-supervised Deep Learning with Memory
Deep learning via semi-supervised embedding
Semi-supervised learning by sparse representation
Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression
Deep Unsupervised Clustering Using Mixture of Autoencoders
Temporal Ensembling for Semi-Supervised Learning
Adversarially Regularized Autoencoders
Semi-Supervised Structured Prediction with Neural CRF Autoencoder
variational autoencoder for semi - supervised text classification .
Sinkhorn AutoEncoders
Improving Semi-Supervised Learning with Auxiliary Deep Generative Models
Towards a better understanding of Vector Quantized Autoencoders
A Fully Decoupled LC Tank VCO Topology for Amplitude Boosted Low Phase Noise Operation
Rapid Acting Antidepressants in Chronic Stress Models: Molecular and Cellular Mechanisms
Research Directions for AI in Computer Games
Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis
Multiple deficits in ADHD: executive dysfunction, delay aversion, reaction time variability, and emotional deficits