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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
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech
ACL 2022
Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer Diagnosis
MIDL 2022
An Evaluation of Three-Stage Voice Conversion Framework for Noisy and Reverberant Conditions
INTERSPEECH 2022
Investigation into Target Speaking Rate Adaptation for Voice Conversion
INTERSPEECH 2022
Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer
NAACL 2022
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning
IJCAI 2022
The dynamics of representation learning in shallow, non-linear autoencoders
ICML 2022
Unsupervised Extractive Opinion Summarization Using Sparse Coding
ACL 2022
Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI
MIDL 2022
A Sparsity-promoting Dictionary Model for Variational Autoencoders
INTERSPEECH 2022
Latent Space Simulation for Carbon Capture Design Optimization
AAAI 2022
Test-Time Training with Masked Autoencoders
NIPS 2022
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders
NIPS 2022
Laplacian Autoencoders for Learning Stochastic Representations
NIPS 2022
FlowVocoder: A small Footprint Neural Vocoder based Normalizing Flow for Speech Synthesis
INTERSPEECH 2022
Density-Preserving Deep Point Cloud Compression
CVPR 2022
Text-to-speech synthesis using spectral modeling based on non-negative autoencoder
INTERSPEECH 2022
Masked Autoencoders As Spatiotemporal Learners
NIPS 2022
Learning Manifold Dimensions with Conditional Variational Autoencoders
NIPS 2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
NIPS 2022
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
NIPS 2022
Enhance the Visual Representation via Discrete Adversarial Training
NIPS 2022
Learning to Accelerate Partial Differential Equations via Latent Global Evolution
NIPS 2022
Multi-Sample Training for Neural Image Compression
NIPS 2022
Vector Space Interpolation for Query Expansion
IJCNLP 2022
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