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Autoencoders
109 directly classified papers
Papers per year
2013: 2
2014: 1
2015: 1
2016: 2
2017: 3
2018: 11
2019: 14
2020: 22
2021: 14
2022: 16
2023: 13
2024: 5
2025: 5
Papers
Laplacian Autoencoders for Learning Stochastic Representations
NIPS 2022
Learning to Accelerate Partial Differential Equations via Latent Global Evolution
NIPS 2022
Exploring the Latent Space of Autoencoders with Interventional Assays
NIPS 2022
Posterior Matching for Arbitrary Conditioning
NIPS 2022
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders
NIPS 2022
Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case
NIPS 2022
Infinite Recommendation Networks: A Data-Centric Approach
NIPS 2022
Density-Preserving Deep Point Cloud Compression
CVPR 2022
MotionAug: Augmentation With Physical Correction for Human Motion Prediction
CVPR 2022
Unsupervised Identification of Materials with Hyperspectral Images
AAAI 2022
Noninvasive Lung Cancer Early Detection via Deep Methylation Representation Learning
AAAI 2022
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder
EMNLP 2022
Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification
AAAI 2022
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries
NIPS 2022
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
CVPR 2021
Quality-Agnostic Image Recognition via Invertible Decoder
CVPR 2021
TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations
CVPR 2021
Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression
CVPR 2021
We Are More Than Our Joints: Predicting How 3D Bodies Move
CVPR 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
CVPR 2021
Deep Learning in Latent Space for Video Prediction and Compression
CVPR 2021
Unpaired Image-to-Image Translation via Latent Energy Transport
CVPR 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
NIPS 2021
Slimmable Compressive Autoencoders for Practical Neural Image Compression
CVPR 2021
Deep Semantic Dictionary Learning for Multi-label Image Classification
AAAI 2021
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