- k-Sparse Autoencoders
- Auto-Encoding Variational Bayes
- Winner-Take-All Autoencoders
- Variational Recurrent Auto-Encoders
- A Hierarchical Neural Autoencoder for Paragraphs and Documents
- Semi-supervised Sequence Learning
- Adversarial Autoencoders
- Neural Variational Inference for Text Processing
- KATE: K-Competitive Autoencoder for Text
- Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
- Contractive Auto-Encoders: Explicit Invariance During Feature Extraction
- Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
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