Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Correlative data based sparse denoising auto-encoder for feature learning
Extracting and composing robust features with denoising autoencoders
Unsupervised feature extraction with autoencoder trees
A Winner-Take-All Method for Training Sparse Convolutional Autoencoders
An ef fi cient and effective convolutional auto-encoder extreme learning machine network for 3 d feature learning
Discriminative Recurrent Sparse Auto-Encoders
Image Compression: Sparse Coding vs. Bottleneck Autoencoders
Contractive Auto-Encoders: Explicit Invariance During Feature Extraction
Denoising without access to clean data using a partitioned autoencoder
Extracting deep bottleneck features using stacked auto-encoders
Unsupervised Deep Autoencoders for Feature Extraction with Educational Data
Feature Selection Guided Auto-Encoder.
Kernel PCA and De-Noising in Feature Spaces
Marginalized Denoising Auto-encoders for Nonlinear Representations
Convex Sparse PCA for Unsupervised Feature Learning
Deconvolutional Networks for Feature Learning
Adaptive marginalized stacked denoising autoencoders and its application
Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery
Large-Scale Feature Learning With Spike-and-Slab Sparse Coding
Adaptive Denoising Autoencoders: A Fine-Tuning Scheme to Learn from Test Mixtures
Denoising Autoencoder Self-Organizing Map (DASOM)
Muscle-Based Control for Character Animation
Graphene-Fiber-Based Supercapacitors Favor N-Methyl-2-pyrrolidone/Ethyl Acetate as the Spinning Solvent/Coagulant Combination
Tropical Underdevelopment
Automatic Extraction of Cause-Effect Relations in Natural Language Text
scaling learning algorithms towards ai .