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| Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt | Mar 22, 2024 | Data AugmentationTime Series | CodeCode Available | 2 |
| DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection | Jun 17, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 2 |
| FITS: Modeling Time Series with 10k Parameters | Jul 6, 2023 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| dtaianomaly: A Python library for time series anomaly detection | Feb 20, 2025 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective | Nov 10, 2023 | Graph Neural NetworkMultivariate Time Series Forecasting | CodeCode Available | 2 |
| Frequency Adaptive Normalization For Non-stationary Time Series Forecasting | Sep 30, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy | Oct 6, 2021 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| Harnessing Vision Models for Time Series Analysis: A Survey | Feb 13, 2025 | SurveyTime Series | CodeCode Available | 2 |
| Probabilistic Time Series Forecasting with Implicit Quantile Networks | Jul 8, 2021 | Probabilistic Time Series ForecastingTime Series | CodeCode Available | 2 |
