| Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution | Nov 19, 2023 | Anomaly DetectionContrastive Learning | 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 |
| TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss | Nov 19, 2023 | Multivariate Time Series ForecastingTime Series | —Unverified | 0 |
| Self-Distilled Representation Learning for Time Series | Nov 19, 2023 | Contrastive LearningRepresentation Learning | —Unverified | 0 |
| Informative Priors Improve the Reliability of Multimodal Clinical Data Classification | Nov 17, 2023 | Time SeriesVariational Inference | —Unverified | 0 |
| Growth-rate distributions of gut microbiota time series | Nov 17, 2023 | Time Series | —Unverified | 0 |
| SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation | Nov 17, 2023 | Domain AdaptationTime Series | —Unverified | 0 |
| Inherently Interpretable Time Series Classification via Multiple Instance Learning | Nov 16, 2023 | Decision MakingMultiple Instance Learning | CodeCode Available | 1 |
| A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series | Nov 16, 2023 | Knowledge DistillationTime Series | —Unverified | 0 |
| Evolving Domain Adaptation of Pretrained Language Models for Text Classification | Nov 16, 2023 | Domain AdaptationStance Detection | —Unverified | 0 |
