| MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection | May 24, 2022 | Anomaly DetectionAutoML | CodeCode Available | 5 |
| The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark | Sep 26, 2024 | Anomaly DetectionBenchmarking | CodeCode Available | 3 |
| AER: Auto-Encoder with Regression for Time Series Anomaly Detection | Dec 27, 2022 | Anomaly DetectionBenchmarking | CodeCode Available | 3 |
| TAB: Unified Benchmarking of Time Series Anomaly Detection Methods | Jun 22, 2025 | Anomaly DetectionBenchmarking | CodeCode Available | 2 |
| dtaianomaly: A Python library for time series anomaly detection | Feb 20, 2025 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection | Feb 18, 2025 | Anomaly DetectionInformation Retrieval | CodeCode Available | 2 |
| CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching | Oct 16, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry | Jun 25, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| Large language models can be zero-shot anomaly detectors for time series? | May 23, 2024 | Anomaly DetectionLanguage Modeling | CodeCode Available | 2 |
| TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models | Feb 16, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective | Feb 5, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection | Jan 10, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection | Jun 17, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 2 |
| PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series | May 30, 2023 | Anomaly DetectionClassification | CodeCode Available | 2 |
| Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy | Oct 6, 2021 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks | Sep 16, 2020 | Anomaly DetectionBenchmarking | CodeCode Available | 2 |
| LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection | Jul 1, 2016 | Anomaly DetectionDecoder | CodeCode Available | 2 |
| Can Multimodal LLMs Perform Time Series Anomaly Detection? | Feb 25, 2025 | Anomaly DetectionIrregular Time Series | CodeCode Available | 1 |
| MAAT: Mamba Adaptive Anomaly Transformer with association discrepancy for time series | Feb 11, 2025 | Anomaly DetectionAnomaly Localization | CodeCode Available | 1 |
| A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges | Jan 25, 2025 | Anomaly DetectionDiversity | CodeCode Available | 1 |
| Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels | Jan 21, 2025 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information | Dec 3, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection | Nov 18, 2024 | Anomaly DetectionLarge Language Model | CodeCode Available | 1 |
| KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks | Nov 1, 2024 | Anomaly DetectionKolmogorov-Arnold Networks | CodeCode Available | 1 |
| Can LLMs Understand Time Series Anomalies? | Oct 7, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis | Aug 23, 2024 | Anomaly DetectionGraph Attention | CodeCode Available | 1 |
| Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection | Jun 28, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection | Jun 4, 2024 | Federated LearningLarge Language Model | CodeCode Available | 1 |
| SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection | May 18, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Position: Quo Vadis, Unsupervised Time Series Anomaly Detection? | May 4, 2024 | Anomaly DetectionBenchmarking | CodeCode Available | 1 |
| DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series | Apr 17, 2024 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection | Feb 22, 2024 | Anomaly DetectionDynamic Time Warping | CodeCode Available | 1 |
| TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact Supervision | Jan 20, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection | Jan 18, 2024 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection | Dec 19, 2023 | Anomaly DetectionTest-time Adaptation | CodeCode Available | 1 |
| Label-Free Multivariate Time Series Anomaly Detection | Dec 17, 2023 | Anomaly DetectionDensity Estimation | CodeCode Available | 1 |
| Entropy Causal Graphs for Multivariate Time Series Anomaly Detection | Dec 15, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection | Dec 5, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Set Features for Anomaly Detection | Nov 24, 2023 | Anomaly DetectionDensity Estimation | CodeCode Available | 1 |
| Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling | Nov 21, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution | Nov 19, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Time Series Anomaly Detection using Diffusion-based Models | Nov 2, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection | Sep 30, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction | Sep 21, 2023 | Time Series AnalysisTime Series Anomaly Detection | CodeCode Available | 1 |
| CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection | Aug 18, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection | Jul 17, 2023 | Anomaly DetectionGraph Learning | CodeCode Available | 1 |
| ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection | Jul 3, 2023 | Anomaly DetectionImputation | CodeCode Available | 1 |
| BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation | Jun 13, 2023 | Heart rate estimationPhotoplethysmography (PPG) heart rate estimation | CodeCode Available | 1 |
| AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme | May 8, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting | Apr 4, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |