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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
Single Image Depth Prediction With Wavelet Decomposition
CVPR 2021
Dual Contradistinctive Generative Autoencoder
CVPR 2021
3D Shape Generation With Grid-Based Implicit Functions
CVPR 2021
FlexAE: flexibly learning latent priors for wasserstein auto-encoders
UAI 2021
Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders
JMLR 2021
A Generalised Linear Model Framework for β-Variational Autoencoders based on Exponential Dispersion Families
JMLR 2021
Learning Disentangled Behavior Embeddings
NIPS 2021
Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning
ICCV 2021
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations
ICML 2021
Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression
CVPR 2021
TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations
CVPR 2021
Autoencoder Image Interpolation by Shaping the Latent Space
ICML 2021
Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection
WACV 2021
Deep Learning in Latent Space for Video Prediction and Compression
CVPR 2021
Coded-InvNet for Resilient Prediction Serving Systems
ICML 2021
Neural Cellular Automata Manifold
CVPR 2021
Demystifying Inductive Biases for (Beta-)VAE Based Architectures
ICML 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
MIDL 2021
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation
EACL 2021
Principal Bit Analysis: Autoencoding with Schur-Concave Loss
ICML 2021
Adaptive Fusion Techniques for Multimodal Data
EACL 2021
Learning to Dress 3D People in Generative Clothing
CVPR 2020
Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space
ICML 2020
Exploring TTS Without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020)
INTERSPEECH 2020
Speech Enhancement with Stochastic Temporal Convolutional Networks
INTERSPEECH 2020
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