| Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting | Aug 23, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection | Aug 18, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model | Aug 18, 2023 | DenoisingManagement | CodeCode Available | 1 |
| LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters | Aug 16, 2023 | ChatbotMultivariate Time Series Forecasting | CodeCode Available | 1 |
| TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series | Aug 16, 2023 | Language ModellingLarge Language Model | CodeCode Available | 1 |
| PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer | Aug 9, 2023 | Computational EfficiencyMultivariate Time Series Forecasting | CodeCode Available | 1 |
| SSL-SoilNet: A Hybrid Transformer-based Framework with Self-Supervised Learning for Large-scale Soil Organic Carbon Prediction | Aug 7, 2023 | AttributeContrastive Learning | CodeCode Available | 1 |
| Unsupervised Representation Learning for Time Series: A Review | Aug 3, 2023 | Contrastive LearningRepresentation Learning | CodeCode Available | 1 |
| Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach | Aug 2, 2023 | Anomaly DetectionDeep Learning | CodeCode Available | 1 |
| QUANT: A Minimalist Interval Method for Time Series Classification | Aug 2, 2023 | ClassificationCPU | CodeCode Available | 1 |
