| Correlation-Driven Multi-Level Multimodal Learning for Anomaly Detection on Multiple Energy Sources | May 1, 2023 | Anomaly DetectionTime Series Anomaly Detection | CodeCode Available | 0 |
| Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection | Apr 30, 2023 | Anomaly DetectionDeep Learning | —Unverified | 0 |
| Harnessing Contrastive Learning and Neural Transformation for Time Series Anomaly Detection | Apr 16, 2023 | Anomaly DetectionContrastive Learning | —Unverified | 0 |
| Context-aware Domain Adaptation for Time Series Anomaly Detection | Apr 15, 2023 | Anomaly DetectionDeep Reinforcement Learning | —Unverified | 0 |
| OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting | Apr 4, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Time-series Anomaly Detection based on Difference Subspace between Signal Subspaces | Mar 31, 2023 | Anomaly DetectionTime Series | —Unverified | 0 |
| Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection | Mar 29, 2023 | Anomaly DetectionFederated Learning | —Unverified | 0 |
| TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks | Mar 22, 2023 | Anomaly DetectionAutonomous Driving | CodeCode Available | 1 |
| A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of a Wind Power Dataset | Mar 17, 2023 | Anomaly DetectionTime Series | —Unverified | 0 |
| Learning Representation for Anomaly Detection of Vehicle Trajectories | Mar 9, 2023 | Anomaly DetectionAutonomous Driving | —Unverified | 0 |
