| Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer | Dec 10, 2023 | DecoderTime Series | CodeCode Available | 1 |
| D3A-TS: Denoising-Driven Data Augmentation in Time Series | Dec 9, 2023 | Data AugmentationDenoising | CodeCode Available | 1 |
| TimeDRL: Disentangled Representation Learning for Multivariate Time-Series | Dec 7, 2023 | Inductive BiasRepresentation Learning | CodeCode Available | 1 |
| Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification | Dec 7, 2023 | Data AugmentationRepresentation Learning | CodeCode Available | 1 |
| Graph Convolutions Enrich the Self-Attention in Transformers! | Dec 7, 2023 | Clone Detection | CodeCode Available | 1 |
| MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection | Dec 5, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation | Dec 4, 2023 | ImputationInductive Bias | CodeCode Available | 1 |
| Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach | Dec 4, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| LoCoMotif: Discovering time-warped motifs in time series | Nov 29, 2023 | Time Series | CodeCode Available | 1 |
| Event Detection in Time Series: Universal Deep Learning Approach | Nov 27, 2023 | Binary ClassificationDeep Learning | CodeCode Available | 1 |
| Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter View | Nov 24, 2023 | Anomaly DetectionFew-Shot Learning | CodeCode Available | 1 |
| Set Features for Anomaly Detection | Nov 24, 2023 | Anomaly DetectionDensity Estimation | CodeCode Available | 1 |
| FRUITS: Feature Extraction Using Iterated Sums for Time Series Classification | Nov 24, 2023 | Time SeriesTime Series Classification | CodeCode Available | 1 |
| Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling | Nov 21, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Random Fourier Signature Features | Nov 20, 2023 | Time Series | CodeCode Available | 1 |
| Neural Dynamical Operator: Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization Methods | Nov 20, 2023 | Operator learningTime Series | CodeCode Available | 1 |
| Large Pre-trained time series models for cross-domain Time series analysis tasks | Nov 19, 2023 | Self-Supervised LearningTime Series | CodeCode Available | 1 |
| Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution | Nov 19, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Inherently Interpretable Time Series Classification via Multiple Instance Learning | Nov 16, 2023 | Decision MakingMultiple Instance Learning | CodeCode Available | 1 |
| Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction | Nov 9, 2023 | Computational EfficiencyTime Series | CodeCode Available | 1 |
| Multi-resolution Time-Series Transformer for Long-term Forecasting | Nov 7, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization | Nov 6, 2023 | ManagementPosition | CodeCode Available | 1 |
| Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead | Nov 5, 2023 | 3D Anomaly DetectionAnomaly Detection | CodeCode Available | 1 |
| ForecastPFN: Synthetically-Trained Zero-Shot Forecasting | Nov 3, 2023 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Time Series Anomaly Detection using Diffusion-based Models | Nov 2, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
