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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
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder
CVPR 2024
Learning Low-Rank Latent Spaces With Simple Deterministic Autoencoder: Theoretical and Empirical Insights
WACV 2024
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
NIPS 2024
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
NIPS 2024
DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM
NIPS 2024
Extraction of interpretable and shared speaker-specific speech attributes through binary auto-encoder
INTERSPEECH 2024
Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less
SEMEVAL 2024
Design2Cloth: 3D Cloth Generation from 2D Masks
CVPR 2024
Poisson Variational Autoencoder
NIPS 2024
Tackling Missing Modalities in Audio-Visual Representation Learning Using Masked Autoencoders
INTERSPEECH 2024
THInImg: Cross-Modal Steganography for Presenting Talking Heads in Images
WACV 2024
Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and Probing
INTERSPEECH 2024
Unity by Diversity: Improved Representation Learning for Multimodal VAEs
NIPS 2024
Deep Embedding Clustering Driven by Sample Stability
IJCAI 2024
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
CVPR 2024
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
CVPR 2024
Controlled Transformation of Text-Attributed Graphs
EMNLP 2024
High-dimensional Asymptotics of Denoising Autoencoders
NIPS 2023
Globally Consistent Federated Graph Autoencoder for Non-IID Graphs
IJCAI 2023
Canonical normalizing flows for manifold learning
NIPS 2023
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
ACL 2023
DegAE: A New Pretraining Paradigm for Low-Level Vision
CVPR 2023
ZeroAE: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification
ACL 2023
Improving Visual Representation Learning Through Perceptual Understanding
CVPR 2023
Mixed Autoencoder for Self-Supervised Visual Representation Learning
CVPR 2023
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