Autoencoders

Density-Preserving Deep Point Cloud Compression CVPR 2022 Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer Diagnosis MIDL 2022 Diagnosing Epileptogenesis with Deep Anomaly Detection MLHC 2022 Diffusion Autoencoders: Toward a Meaningful and Decodable Representation CVPR 2022 Diffusion bridges vector quantized variational autoencoders ICML 2022 Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder EMNLP 2022 Effective Pretraining Objectives for Transformer-based Autoencoders EMNLP 2022 End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue Interspeech 2022 Enhance the Visual Representation via Discrete Adversarial Training NeurIPS 2022 Equivariant Priors for compressed sensing with unknown orientation ICML 2022 Evolutive Adversarially-Trained Bayesian Network Autoencoder for Interpretable Anomaly Detection PGM 2022 Example or Prototype? Learning Concept-Based Explanations in Time-Series ACML 2022 Exploring the Latent Space of Autoencoders with Interventional Assays NeurIPS 2022 Finding an Unsupervised Image Segmenter in each of your Deep Generative Models ICLR 2022 Fine-grained Multi-lingual Disentangled Autoencoder for Language-agnostic Representation Learning EMNLP 2022 FlexIT: Towards Flexible Semantic Image Translation CVPR 2022 FlowVocoder: A small Footprint Neural Vocoder based Normalizing Flow for Speech Synthesis Interspeech 2022 Frame Averaging for Equivariant Shape Space Learning CVPR 2022 Fully Spiking Variational Autoencoder AAAI 2022 Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder ICML 2022 Generating Diverse and Natural 3D Human Motions From Text CVPR 2022 Generative Pseudo-Inverse Memory ICLR 2022 Glass: Geometric Latent Augmentation for Shape Spaces CVPR 2022 Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction ICLR 2022 Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series ICLR 2022