← Architectures
Deep Learning › Architectures ›

Autoencoders

1095 directly classified papers

Papers per year

Papers

Multi-Level Representation Learning for Deep Subspace Clustering WACV 2020
The Expressive Power of a Class of Normalizing Flow Models AISTATS 2020
Regularized Autoencoders via Relaxed Injective Probability Flow AISTATS 2020
Adversarial Defense based on Structure-to-Signal Autoencoders WACV 2020
Harmless Overfitting: Using Denoising Autoencoders in Estimation of Distribution Algorithms JMLR 2020
Cramer-Wold Auto-Encoder JMLR 2020
Batch norm with entropic regularization turns deterministic autoencoders into generative models UAI 2020
MaskAAE: Latent space optimization for Adversarial Auto-Encoders UAI 2020
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments CORL 2020
CompressNet: Generative Compression at Extremely Low Bitrates WACV 2020
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample NIPS 2020
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels NIPS 2020
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation COLING 2020
Semi-supervised Autoencoding Projective Dependency Parsing COLING 2020
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact IJCAI 2020
Tiny Word Embeddings Using Globally Informed Reconstruction COLING 2020
Autoencoding Improves Pre-trained Word Embeddings COLING 2020
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning COLING 2020
How Positive Are You: Text Style Transfer using Adaptive Style Embedding COLING 2020
Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer COLING 2020
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling IJCAI 2020
Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video CVPR 2019
End-to-End Convolutional Sequence Learning for ASL Fingerspelling Recognition INTERSPEECH 2019
Cluster Analysis in Latent Space: Identifying Personalized Aortic Valve Prosthesis Shapes using Deep Representations MIDL 2019
Unsupervised Raw Waveform Representation Learning for ASR INTERSPEECH 2019