| Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation | May 4, 2025 | Knowledge DistillationMultivariate Time Series Forecasting | CodeCode Available | 2 |
| Learning Deep Time-index Models for Time Series Forecasting | Jul 13, 2022 | Inductive BiasMeta-Learning | CodeCode Available | 2 |
| Deep learning for time series classification | Oct 1, 2020 | Activity RecognitionClassification | CodeCode Available | 2 |
| Deep learning for time series classification: a review | Sep 12, 2018 | Deep LearningGeneral Classification | CodeCode Available | 2 |
| Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models | Aug 19, 2022 | ImputationMissing Values | CodeCode Available | 2 |
| DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection | Jun 17, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 2 |
| A Survey on Time-Series Pre-Trained Models | May 18, 2023 | SurveyTime Series | CodeCode Available | 2 |
| End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation | Dec 28, 2022 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| ETSformer: Exponential Smoothing Transformers for Time-series Forecasting | Feb 3, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt | Mar 22, 2024 | Data AugmentationTime Series | CodeCode Available | 2 |
