| Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators | May 23, 2024 | image-classificationImage Classification | CodeCode Available | 2 | 5 |
| Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study | Apr 10, 2024 | Representation LearningTime Series | CodeCode Available | 2 | 5 |
| Learning Deep Time-index Models for Time Series Forecasting | Jul 13, 2022 | Inductive BiasMeta-Learning | CodeCode Available | 2 | 5 |
| FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting | Jan 30, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 2 | 5 |
| DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks | Apr 13, 2017 | Multivariate Time Series ForecastingProbabilistic Time Series Forecasting | CodeCode Available | 2 | 5 |
| Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt | Mar 22, 2024 | Data AugmentationTime Series | CodeCode Available | 2 | 5 |
| FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting | Feb 26, 2025 | Model SelectionTime Series | CodeCode Available | 2 | 5 |
| FITS: Modeling Time Series with 10k Parameters | Jul 6, 2023 | Anomaly DetectionTime Series | CodeCode Available | 2 | 5 |
| DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection | Jun 17, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 2 | 5 |
| Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective | Sep 27, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
