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Autoencoders

1095 directly classified papers

Papers per year

Papers

Mixed Autoencoder for Self-Supervised Visual Representation Learning CVPR 2023
Physics-enhanced Gaussian Process Variational Autoencoder L4DC 2023
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection CVPR 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network ICML 2023
Catch Missing Details: Image Reconstruction With Frequency Augmented Variational Autoencoder CVPR 2023
MARLIN: Masked Autoencoder for Facial Video Representation LearnINg CVPR 2023
Binary Latent Diffusion CVPR 2023
MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition CVPR 2023
3D Neural Field Generation Using Triplane Diffusion CVPR 2023
Understanding Masked Autoencoders via Hierarchical Latent Variable Models CVPR 2023
Geometric Autoencoders - What You See is What You Decode ICML 2023
SMAE: Few-Shot Learning for HDR Deghosting With Saturation-Aware Masked Autoencoders CVPR 2023
Regularized Vector Quantization for Tokenized Image Synthesis CVPR 2023
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations EMNLP 2023
Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection ACML 2023
One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities MIDL 2023
Geometric Latent Diffusion Models for 3D Molecule Generation ICML 2023
Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing CVPR 2023
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations ACL 2023
ZeroAE: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification ACL 2023
Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model EMNLP 2023
Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled Representations ICML 2023
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations MIDL 2023
Contrastive Deterministic Autoencoders For Language Modeling EMNLP 2023
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency EMNLP 2023