Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Relational Autoencoder for Feature Extraction
Contractive Auto-Encoders: Explicit Invariance During Feature Extraction
Variation Autoencoder Based Network Representation Learning for Classification
Reconstruction-based Unsupervised Feature Selection: An Embedded Approach
Deep Kernelized Autoencoders
Deep Residual Learning for Weakly-Supervised Relation Extraction
A Survey of Modern Questions and Challenges in Feature Extraction
Unsupervised Feature Learning and Deep Learning: A Review and New Perspectives
Supervised representation learning: transfer learning with deep autoencoders
Improved Relation Extraction with Feature-rich Compositional Embedding Models
Training Stacked Denoising Autoencoders for Representation Learning
Deep Matching Autoencoders
Semi-Supervised Learning for Relation Extraction
Context Encoders: Feature Learning by Inpainting
A Survey of Deep Learning Methods for Relation Extraction
Learning Grounded Meaning Representations with Autoencoders
Embedded unsupervised feature selection
Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations
Training Deep AutoEncoders for Collaborative Filtering
Learning Deep Representations Using Convolutional Auto-Encoders with Symmetric Skip Connections
Deep Clustering with Convolutional Autoencoders
A wide duty cycle range wide band high frequency isolated gate driver for power converters
Secure Image Steganography using Cryptography and Image Transposition
A learning algorithm for Boltzmann machines
POLYGON - A New Fundamental Movement Skills Test for 8 Year Old Children: Construction and Validation
Empirical Analysis of Object-Oriented Design Metrics for Predicting High and Low Severity Faults