| Are Self-Attentions Effective for Time Series Forecasting? | May 27, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting | May 26, 2024 | MambaState Space Models | CodeCode Available | 2 |
| Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification | May 24, 2024 | EEGElectrocardiography (ECG) | CodeCode Available | 2 |
| Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators | May 23, 2024 | image-classificationImage Classification | CodeCode Available | 2 |
| Large language models can be zero-shot anomaly detectors for time series? | May 23, 2024 | Anomaly DetectionLanguage Modeling | CodeCode Available | 2 |
| GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing | May 18, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting | May 17, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting | May 10, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask | May 9, 2024 | Anomaly DetectionImputation | CodeCode Available | 2 |
| TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning | May 6, 2024 | Multiple Instance LearningTime Series | CodeCode Available | 2 |
