Methods › Computer Vision › Generative Models › Denoising Autoencoder
Denoising Autoencoder
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A Denoising Autoencoder is a modification on the autoencoder to prevent the network learning the identity function. Specifically, if the autoencoder is too big, then it can just learn the data, so the output equals the input, and does not perform any useful representation learning or dimensionality reduction. Denoising autoencoders solve this problem by corrupting the input data on purpose, adding noise or masking some of the input values.
Image Credit: Kumar et al
Papers archive 2025-07-28
30 shown of 182, 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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NAADA: A Noise-Aware Attention Denoising Autoencoder for Dental Panoramic Radiographs 24 Jun 2025 · 0 repositories · arXiv:2506.19387
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CWGAN-GP Augmented CAE for Jamming Detection in 5G-NR in Non-IID Datasets 18 Jun 2025 · 0 repositories · arXiv:2506.15075
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Demonstrating Superresolution in Radar Range Estimation Using a Denoising Autoencoder 17 Jun 2025 · 0 repositories · arXiv:2506.14906
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Impact of Bottleneck Layers and Skip Connections on the Generalization of Linear Denoising Autoencoders 30 May 2025 · 0 repositories · arXiv:2505.24668
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Automated Learning of Semantic Embedding Representations for Diffusion Models 9 May 2025 · 0 repositories · arXiv:2505.05732
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Snapshot Compressed Imaging Based Single-Measurement Computer Vision for Videos 25 Jan 2025 · 0 repositories · arXiv:2501.15122
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Targeted Adversarial Denoising Autoencoders (TADA) for Neural Time Series Filtration 9 Jan 2025 · 0 repositories · arXiv:2501.04967
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Developing Cryptocurrency Trading Strategy Based on Autoencoder-CNN-GANs Algorithms 24 Dec 2024 · 0 repositories · arXiv:2412.18202
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Machine Learning-Based Automated Assessment of Intracorporeal Suturing in Laparoscopic Fundoplication 16 Dec 2024 · 0 repositories · arXiv:2412.16195
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Detecting Visual Triggers in Cannabis Imagery: A CLIP-Based Multi-Labeling Framework with Local-Global Aggregation 22 Nov 2024 · 0 repositories · arXiv:2412.08648
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mDAE : modified Denoising AutoEncoder for missing data imputation 19 Nov 2024 · 0 repositories · arXiv:2411.12847
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Explainable Deep Learning Framework for SERS Bio-quantification 12 Nov 2024 · 0 repositories · arXiv:2411.08082
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Multi-head Sequence Tagging Model for Grammatical Error Correction 21 Oct 2024 · 2 repositories · arXiv:2410.16473
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TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering 17 Oct 2024 · 1 repository · arXiv:2410.13203
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Conditional Lagrangian Wasserstein Flow for Time Series Imputation 10 Oct 2024 · 0 repositories · arXiv:2410.07550
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Aircraft Radar Altimeter Interference Mitigation Through a CNN-Layer Only Denoising Autoencoder Architecture 4 Oct 2024 · 0 repositories · arXiv:2410.03423
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TrustEMG-Net: Using Representation-Masking Transformer with U-Net for Surface Electromyography Enhancement 4 Oct 2024 · 1 repository · arXiv:2410.03843
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Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering 4 Sep 2024 · 1 repository · arXiv:2409.02426Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
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Learning to Enhance Aperture Phasor Field for Non-Line-of-Sight Imaging 26 Jul 2024 · 1 repository · arXiv:2407.18574
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Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification 30 May 2024 · 1 repository · arXiv:2405.19967
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Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models 23 May 2024 · 1 repository · arXiv:2405.14437
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MultiMAE-DER: Multimodal Masked Autoencoder for Dynamic Emotion Recognition 28 Apr 2024 · 1 repository · arXiv:2404.18327
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DoughNet: A Visual Predictive Model for Topological Manipulation of Deformable Objects 18 Apr 2024 · 0 repositories · arXiv:2404.12524
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Do We Really Need Imputation in AutoML Predictive Modeling? 12 Apr 2024 · 1 repository
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Fréchet Denoised Distance: Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder 8 Mar 2024 · 0 repositories · arXiv:2403.05352
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Deconstructing Denoising Diffusion Models for Self-Supervised Learning 25 Jan 2024 · 1 repository · arXiv:2401.14404Syntology ran 11 of 15 samples · 4 unverified · 15 pointer-only (licence)
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Diffusion Model with Perceptual Loss 30 Dec 2023 · 0 repositories · arXiv:2401.00110
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MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks 11 Dec 2023 · 1 repository · arXiv:2312.06423
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Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight 28 Nov 2023 · 1 repository · arXiv:2311.16632
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EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia 23 Nov 2023 · 1 repository · arXiv:2311.13876
Tasks archive 2025-07-28
20 shown of 199 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
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