| FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting | Jun 19, 2023 | Inductive BiasTime 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 |
| AGNet: Weighing Black Holes with Machine Learning | Nov 30, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 | 5 |
| Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests | Jul 14, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Contrastive Domain Adaptation for Time-Series via Temporal Mixup | Dec 3, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 | 5 |
| COT-GAN: Generating Sequential Data via Causal Optimal Transport | Jun 15, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Counterfactual Explanations for Machine Learning on Multivariate Time Series Data | Aug 25, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 1 | 5 |
| Counterfactual Explanations for Time Series Forecasting | Oct 12, 2023 | counterfactualTime Series | CodeCode Available | 1 | 5 |
| LEAD1.0: A Large-scale Annotated Dataset for Energy Anomaly Detection in Commercial Buildings | Mar 30, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis | Oct 31, 2023 | Contrastive LearningSelf-Supervised Learning | CodeCode Available | 1 | 5 |
