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Autoencoders

1095 directly classified papers

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Papers

Langevin Autoencoders for Learning Deep Latent Variable Models NIPS 2022
Learning Physics Constrained Dynamics Using Autoencoders NIPS 2022
Latent Space Simulation for Carbon Capture Design Optimization AAAI 2022
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech ACL 2022
Unsupervised Extractive Opinion Summarization Using Sparse Coding ACL 2022
Semantic-Aware Auto-Encoders for Self-Supervised Representation Learning CVPR 2022
UNIST: Unpaired Neural Implicit Shape Translation Network CVPR 2022
SMPL-A: Modeling Person-Specific Deformable Anatomy CVPR 2022
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder EMNLP 2022
Neural Basis Models for Interpretability NIPS 2022
LION: Latent Point Diffusion Models for 3D Shape Generation NIPS 2022
Learning low-dimensional generalizable natural features from retina using a U-net NIPS 2022
A Geometric Perspective on Variational Autoencoders NIPS 2022
Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses NIPS 2022
Visual Prompting via Image Inpainting NIPS 2022
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution NIPS 2022
Local Latent Space Bayesian Optimization over Structured Inputs NIPS 2022
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes CORL 2022
VQ-Flows: Vector quantized local normalizing flows UAI 2022
Latent Temporal Flows for Multivariate Analysis of Wearables Data MLHC 2022
Diagnosing Epileptogenesis with Deep Anomaly Detection MLHC 2022
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models MLHC 2022
Example or Prototype? Learning Concept-Based Explanations in Time-Series ACML 2022
On the Pitfalls of Using the Residual Error as Anomaly Score MIDL 2022
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder EMNLP 2021