| Chaos as an interpretable benchmark for forecasting and data-driven modelling | Oct 11, 2021 | BenchmarkingSymbolic Regression | CodeCode Available | 1 |
| Graph-Guided Network for Irregularly Sampled Multivariate Time Series | Oct 11, 2021 | Graph Neural NetworkTime Series | CodeCode Available | 1 |
| Novel Features for Time Series Analysis: A Complex Networks Approach | Oct 11, 2021 | ClusteringTime Series | CodeCode Available | 1 |
| TCube: Domain-Agnostic Neural Time-series Narration | Oct 11, 2021 | EpidemiologyKnowledge Graphs | CodeCode Available | 1 |
| Learning Time Series Counterfactuals via Latent Space Representations | Oct 11, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 1 |
| Long Expressive Memory for Sequence Modeling | Oct 10, 2021 | Language ModelingLanguage Modelling | CodeCode Available | 1 |
| Space-Time-Separable Graph Convolutional Network for Pose Forecasting | Oct 9, 2021 | Human Pose ForecastingSTS | CodeCode Available | 1 |
| Truth-Conditional Captioning of Time Series Data | Oct 5, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series | Oct 1, 2021 | Representation LearningTime Series | CodeCode Available | 1 |
| CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning | Sep 30, 2021 | Activity RecognitionContrastive Learning | CodeCode Available | 1 |
| Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift | Sep 29, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting | Sep 29, 2021 | Decision MakingManagement | CodeCode Available | 1 |
| Second-Order Neural ODE Optimizer | Sep 29, 2021 | image-classificationImage Classification | CodeCode Available | 1 |
| Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets | Sep 28, 2021 | ClassificationTime Series | CodeCode Available | 1 |
| Neural ODE Processes: A Short Summary | Sep 27, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Fully Spiking Variational Autoencoder | Sep 26, 2021 | Image GenerationTime Series | CodeCode Available | 1 |
| Long-Range Transformers for Dynamic Spatiotemporal Forecasting | Sep 24, 2021 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Temporal Convolutional Attention Neural Networks for Time Series Forecasting | Sep 23, 2021 | Multivariate Time Series ForecastingProbabilistic Time Series Forecasting | CodeCode Available | 1 |
| An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series | Sep 23, 2021 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends | Sep 20, 2021 | New Product Sales ForecastingTime Series | CodeCode Available | 1 |
| Merlion: A Machine Learning Library for Time Series | Sep 20, 2021 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 1 |
| TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models | Sep 17, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting | Sep 15, 2021 | Decision MakingProbabilistic Time Series Forecasting | CodeCode Available | 1 |
| Instance-wise Graph-based Framework for Multivariate Time Series Forecasting | Sep 14, 2021 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Towards a Rigorous Evaluation of Time-series Anomaly Detection | Sep 11, 2021 | Anomaly DetectionTime Series | CodeCode Available | 1 |
