Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: MIDA: Multiple Imputation using Denoising Autoencoders
Generalized Denoising Auto-Encoders as Generative Models
Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series
Principled missing data methods for researchers
CURE: Curvature Regularization For Missing Data Recovery
Learning Multiple Views with Orthogonal Denoising Autoencoders
High-dimensional Multivariate Mediation: with Application to Neuroimaging Data
Denoising Criterion for Variational Auto-Encoding Framework
Image Restoration using Autoencoding Priors
Extracting and composing robust features with denoising autoencoders
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
Outlier detection using autoencoders August 19 , 2016
Importance Weighted Autoencoders
Semi-Supervised Recursive Autoencoder
Analysis of incomplete climate data: Estimation of mean values and covariance matrices and imputation of missing values
Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning
Disentangled Sequential Autoencoder
Scaling out big data missing value imputations: pythia vs. godzilla
Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder
Nonparametric Inference for Auto-Encoding Variational Bayes
A deep learning based approach for traffic data imputation
Adaptive protocols for interactive communication
Restricted Boltzmann machines for collaborative filtering
Detection of unhealthy region of plant leaves using image processing and genetic algorithm
Critical Discourse Analysis as a Review Methodology: An Empirical Example
Unsupervised Learning of Depth and Ego-Motion from Video