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Deep Learning
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Autoencoders
1095 directly classified papers
Papers per year
2006: 1
2008: 2
2009: 1
2010: 1
2011: 4
2012: 6
2013: 12
2014: 10
2015: 10
2016: 19
2017: 35
2018: 69
2019: 129
2020: 125
2021: 122
2022: 128
2023: 129
2024: 124
2025: 133
2026: 35
Papers
Improved Representation Learning Through Tensorized Autoencoders
AISTATS 2023
Autodecoding Latent 3D Diffusion Models
NIPS 2023
High-dimensional Asymptotics of Denoising Autoencoders
NIPS 2023
Exploring the Effectiveness of Mask-Guided Feature Modulation as a Mechanism for Localized Style Editing of Real Images (Student Abstract)
AAAI 2023
Low-Light Image Enhancement Network Based on Multi-Scale Feature Complementation
AAAI 2023
Hierarchical VAEs provide a normative account of motion processing in the primate brain
NIPS 2023
RevColV2: Exploring Disentangled Representations in Masked Image Modeling
NIPS 2023
One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities
MIDL 2023
Learning to Compute the Articulatory Representations of Speech with the MIRRORNET
INTERSPEECH 2023
COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec
ICCV 2023
Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion
INTERSPEECH 2023
Canonical normalizing flows for manifold learning
NIPS 2023
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
NIPS 2023
Indeterminacy in Generative Models: Characterization and Strong Identifiability
AISTATS 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
ICML 2023
Homomorphism AutoEncoder -- Learning Group Structured Representations from Observed Transitions
ICML 2023
Layout Representation Learning with Spatial and Structural Hierarchies
AAAI 2023
Modality-Agnostic Variational Compression of Implicit Neural Representations
ICML 2023
Metagenomic Binning using Connectivity-constrained Variational Autoencoders
ICML 2023
Geometric Latent Diffusion Models for 3D Molecule Generation
ICML 2023
Disentanglement via Latent Quantization
NIPS 2023
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes
WACV 2022
Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders
IJCAI 2022
Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization
CVPR 2022
Frame Averaging for Equivariant Shape Space Learning
CVPR 2022
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