| Modeling Variable Space with Residual Tensor Networks for Multivariate Time Series | Sep 29, 2021 | Multivariate Time Series ForecastingTensor Networks | —Unverified | 0 |
| DIVERSIFY to Generalize: Learning Generalized Representations for Time Series Classification | Sep 29, 2021 | Activity RecognitionClassification | —Unverified | 0 |
| Mixed-Memory RNNs for Learning Long-term Dependencies in Irregularly Sampled Time Series | Sep 29, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting | Sep 29, 2021 | Multivariate Time Series ForecastingTime Series | —Unverified | 0 |
| MECATS: Mixture-of-Experts for Probabilistic Forecasts of Aggregated Time Series | Sep 29, 2021 | Mixture-of-ExpertsTime Series | —Unverified | 0 |
| Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains | Sep 29, 2021 | Anomaly DetectionTime Series | —Unverified | 0 |
| Loss meta-learning for forecasting | Sep 29, 2021 | Few-Shot LearningMeta-Learning | —Unverified | 0 |
| Long-term Prediction of Nonlinear Time Series Using Autoencoder and Echo State Networks | Sep 29, 2021 | PredictionTime Series | —Unverified | 0 |
| TS-BERT: A fusion model for Pre-trainning Time Series-Text Representations | Sep 29, 2021 | PredictionTime Series | —Unverified | 0 |
| Less is more: Selecting the right benchmarking set of data for time series classification | Sep 29, 2021 | BenchmarkingTime Series | —Unverified | 0 |
| LatTe Flows: Latent Temporal Flows for Multivariate Sequence Analysis | Sep 29, 2021 | DecoderTime Series | —Unverified | 0 |
| STRIC: Stacked Residuals of Interpretable Components for Time Series Anomaly Detection | Sep 29, 2021 | Anomaly DetectionArticles | —Unverified | 0 |
| Automatic Forecasting via Meta-Learning | Sep 29, 2021 | Meta-LearningTime Series | —Unverified | 0 |
| Kernel distance measures for time series, random fields and other structured data | Sep 29, 2021 | ClusteringTime Series | —Unverified | 0 |
| Provably Calibrated Regression Under Distribution Drift | Sep 29, 2021 | Predictionregression | —Unverified | 0 |
| Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Representation Learning in Time Series | Sep 29, 2021 | Anomaly DetectionContrastive Learning | —Unverified | 0 |
| When Complexity Is Good: Do We Need Recurrent Deep Learning For Time Series Outlier Detection? | Sep 29, 2021 | Home Activity MonitoringOutlier Detection | —Unverified | 0 |
| Cross-Camera Human Motion Transfer by Time Series Analysis | Sep 29, 2021 | Pose EstimationTime Series | CodeCode Available | 0 |
| Information-Aware Time Series Meta-Contrastive Learning | Sep 29, 2021 | Contrastive LearningMeta-Learning | —Unverified | 0 |
| IIT-GAN: Irregular and Intermittent Time-series Synthesis with Generative Adversarial Networks | Sep 29, 2021 | Missing ValuesTime Series | —Unverified | 0 |
| SegTime: Precise Time Series Segmentation without Sliding Window | Sep 29, 2021 | Human Activity RecognitionSegmentation | —Unverified | 0 |
| Tractable Dendritic RNNs for Identifying Unknown Nonlinear Dynamical Systems | Sep 29, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Huber Additive Models for Non-stationary Time Series Analysis | Sep 29, 2021 | Additive modelsCausal Discovery | —Unverified | 0 |
| A Systematic Evaluation of Domain Adaptation Algorithms On Time Series Data | Sep 29, 2021 | BenchmarkingDomain Adaptation | —Unverified | 0 |
| Taking ROCKET on an efficiency mission: A distributed solution for fast and accurate multivariate time series classification | Sep 29, 2021 | feature selectionTime Series | —Unverified | 0 |