| DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series | Apr 17, 2024 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 | 5 |
| CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection | Aug 18, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 | 5 |
| HYDRA: Competing convolutional kernels for fast and accurate time series classification | Mar 25, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Can LLMs Understand Time Series Anomalies? | Oct 7, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model | Apr 9, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme | May 8, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection | Jul 25, 2022 | Anomaly DetectionOne-Class Classification | CodeCode Available | 1 | 5 |
| Can Multimodal LLMs Perform Time Series Anomaly Detection? | Feb 25, 2025 | Anomaly DetectionIrregular Time Series | CodeCode Available | 1 | 5 |
| Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection | Jul 17, 2023 | Anomaly DetectionGraph Learning | CodeCode Available | 1 | 5 |
| FedTADBench: Federated Time-Series Anomaly Detection Benchmark | Dec 19, 2022 | Anomaly DetectionFederated Learning | CodeCode Available | 1 | 5 |
