| Detecting Anomalies within Time Series using Local Neural Transformations | Feb 8, 2022 | Anomaly DetectionEpidemiology | CodeCode Available | 1 | 5 |
| Self-supervised Autoregressive Domain Adaptation for Time Series Data | Nov 29, 2021 | Domain AdaptationSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative | Feb 13, 2025 | ImputationTime Series | CodeCode Available | 1 | 5 |
| Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | May 24, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT | Apr 8, 2021 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series | Jul 1, 2020 | Earth ObservationTime Series | CodeCode Available | 1 | 5 |
| Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks | Mar 21, 2017 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting | Jul 4, 2023 | DecoderTime Series | CodeCode Available | 1 | 5 |
| Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model | Apr 9, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Parametric Augmentation for Time Series Contrastive Learning | Feb 16, 2024 | Contrastive LearningData Augmentation | CodeCode Available | 1 | 5 |
