| DuETT: Dual Event Time Transformer for Electronic Health Records | Apr 25, 2023 | Time Series | CodeCode Available | 1 | 5 |
| DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data | Feb 17, 2023 | Anomaly DetectionDiagnostic | CodeCode Available | 1 | 5 |
| Backdoor Attacks on Time Series: A Generative Approach | Nov 15, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting | Aug 5, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| DYNOTEARS: Structure Learning from Time-Series Data | Feb 2, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Autoregressive Moving-average Attention Mechanism for Time Series Forecasting | Oct 4, 2024 | DecoderTime Series | CodeCode Available | 1 | 5 |
| Do We Really Need Deep Learning Models for Time Series Forecasting? | Jan 6, 2021 | Deep Learningregression | CodeCode Available | 1 | 5 |
| auto-sktime: Automated Time Series Forecasting | Dec 13, 2023 | AutoMLBayesian Optimization | CodeCode Available | 1 | 5 |
| Active multi-fidelity Bayesian online changepoint detection | Mar 26, 2021 | Edge-computingTime Series | CodeCode Available | 1 | 5 |
| Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer | Jul 6, 2022 | DenoisingTime Series | CodeCode Available | 1 | 5 |
| D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting | Mar 26, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction | Aug 20, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Disjoint-CNN for Multivariate Time Series Classification | Jan 20, 2022 | ClassificationDeep Learning | CodeCode Available | 1 | 5 |
| Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift | Apr 7, 2022 | Domain AdaptationTime Series | CodeCode Available | 1 | 5 |
| Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting | Feb 22, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Domain Adaptation for Time Series Under Feature and Label Shifts | Feb 6, 2023 | Domain AdaptationTime Series | CodeCode Available | 1 | 5 |
| InceptionTime: Finding AlexNet for Time Series Classification | Sep 11, 2019 | Deep LearningGeneral Classification | CodeCode Available | 1 | 5 |
| E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series | Feb 21, 2024 | Contrastive LearningTime Series | CodeCode Available | 1 | 5 |
| Discovering Predictable Latent Factors for Time Series Forecasting | Mar 18, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Automatic Change-Point Detection in Time Series via Deep Learning | Nov 7, 2022 | Change Point DetectionDeep Learning | CodeCode Available | 1 | 5 |
| Discrete Graph Structure Learning for Forecasting Multiple Time Series | Jan 18, 2021 | Graph structure learningTime Series | CodeCode Available | 1 | 5 |
| A foundation model with multi-variate parallel attention to generate neuronal activity | Jun 25, 2025 | Seizure DetectionTime Series | CodeCode Available | 1 | 5 |
| Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification | Nov 1, 2024 | QuantizationRepresentation Learning | CodeCode Available | 1 | 5 |
| Discovering Nonlinear Relations with Minimum Predictive Information Regularization | Jan 7, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting | Nov 26, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
