Methods › General › Dimensionality Reduction › AE
Autoencoders
AE
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
An autoencoder is a type of artificial neural network used to learn efficient data codings in an unsupervised manner. The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for dimensionality reduction, by training the network to ignore signal “noise”. Along with the reduction side, a reconstructing side is learnt, where the autoencoder tries to generate from the reduced encoding a representation as close as possible to its original input, hence its name.
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Papers archive 2025-07-28
30 shown of 292, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Meta-autoencoders: An approach to discovery and representation of relationships between dynamically evolving classes 12 Jul 2025 · 0 repositories · arXiv:2507.09362
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Reproducible Evaluation of Camera Auto-Exposure Methods in the Field: Platform, Benchmark and Lessons Learned 19 Jun 2025 · 1 repository · arXiv:2506.18844
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Determinação Automática de Limiar de Detecção de Ataques em Redes de Computadores Utilizando Autoencoders 17 Jun 2025 · 0 repositories · arXiv:2506.14937
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Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network 26 May 2025 · 0 repositories · arXiv:2505.19423
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Efficient Malicious UAV Detection Using Autoencoder-TSMamba Integration 14 May 2025 · 0 repositories · arXiv:2505.10585
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DHECA-SuperGaze: Dual Head-Eye Cross-Attention and Super-Resolution for Unconstrained Gaze Estimation 13 May 2025 · 0 repositories · arXiv:2505.08426
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ALMA: Aggregated Lipschitz Maximization Attack on Auto-encoders 6 May 2025 · 0 repositories · arXiv:2505.03646
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Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation 23 Apr 2025 · 0 repositories · arXiv:2504.16474
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TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology 17 Apr 2025 · 0 repositories · arXiv:2504.12718
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H3AE: High Compression, High Speed, and High Quality AutoEncoder for Video Diffusion Models 14 Apr 2025 · 0 repositories · arXiv:2504.10567
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Comparative Analysis of Unsupervised and Supervised Autoencoders for Nuclei Classification in Clear Cell Renal Cell Carcinoma Images 4 Apr 2025 · 0 repositories · arXiv:2504.03146
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Nonlinear Multiple Response Regression and Learning of Latent Spaces 27 Mar 2025 · 0 repositories · arXiv:2503.21608
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Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras 21 Mar 2025 · 1 repository · arXiv:2503.17262Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
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EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data 18 Mar 2025 · 0 repositories · arXiv:2503.14473
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Pathology Image Compression with Pre-trained Autoencoders 14 Mar 2025 · 0 repositories · arXiv:2503.11591
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Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data 14 Mar 2025 · 0 repositories · arXiv:2503.11032
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Understanding the role of autoencoders for stiff dynamical systems using information theory 8 Mar 2025 · 0 repositories · arXiv:2503.06325
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From Pixels to Trajectory: Universal Adversarial Example Detection via Temporal Imprints 6 Mar 2025 · 0 repositories · arXiv:2503.04853
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Joint Beamforming Design for Integrated Sensing and Communication Systems with Hybrid-Colluding Eavesdroppers 7 Feb 2025 · 0 repositories · arXiv:2502.04912
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CNN Autoencoders for Hierarchical Feature Extraction and Fusion in Multi-sensor Human Activity Recognition 6 Feb 2025 · 0 repositories · arXiv:2502.04489
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Masked Autoencoders Are Effective Tokenizers for Diffusion Models 5 Feb 2025 · 0 repositories · arXiv:2502.03444
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Anomaly Detection via Autoencoder Composite Features and NCE 4 Feb 2025 · 0 repositories · arXiv:2502.01920
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Renewable Energy Prediction: A Comparative Study of Deep Learning Models for Complex Dataset Analysis 27 Jan 2025 · 0 repositories · arXiv:2501.15731
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Joint Optimization of Geometric and Probabilistic Constellation Shaping for OFDM-ISAC Systems 20 Jan 2025 · 0 repositories · arXiv:2501.11583
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Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization 3 Jan 2025 · 0 repositories · arXiv:2501.01608
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Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability 30 Dec 2024 · 1 repository · arXiv:2412.20807
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Towards An Unsupervised Learning Scheme for Efficiently Solving Parameterized Mixed-Integer Programs 23 Dec 2024 · 1 repository · arXiv:2412.17623
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A jury evaluation theorem 19 Dec 2024 · 0 repositories · arXiv:2412.16238
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Comprehensive Survey on Adversarial Examples in Cybersecurity: Impacts, Challenges, and Mitigation Strategies 16 Dec 2024 · 0 repositories · arXiv:2412.12217
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Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description 14 Dec 2024 · 0 repositories · arXiv:2412.10792
Tasks archive 2025-07-28
20 shown of 228 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Anomaly Detection | 36 |
| Decoder | 31 |
| Denoising | 13 |
| Representation Learning | 13 |
| Dimensionality Reduction | 12 |
| Clustering | 10 |
| Deep Learning | 10 |
| Unsupervised Anomaly Detection | 9 |
| Adversarial Attack | 8 |
| Image Generation | 8 |
| Quantization | 7 |
| Self-Supervised Learning | 7 |
| Video Anomaly Detection | 7 |
| Adversarial Robustness | 6 |
| Decision Making | 6 |
| Generative Adversarial Network | 6 |
| Image Compression | 6 |
| Transfer Learning | 6 |
| Autonomous Vehicles | 5 |
| Classification | 5 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections