| Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress | Sep 29, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Instance-based Counterfactual Explanations for Time Series Classification | Sep 28, 2020 | Classificationcounterfactual | CodeCode Available | 1 |
| Adversarial Examples in Deep Learning for Multivariate Time Series Regression | Sep 24, 2020 | Adversarial AttackDeep Learning | CodeCode Available | 1 |
| Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks | Sep 18, 2020 | ImputationMissing Elements | CodeCode Available | 1 |
| Time series forecasting with Gaussian Processes needs priors | Sep 17, 2020 | Gaussian ProcessesTime Series | CodeCode Available | 1 |
| Neural Rough Differential Equations for Long Time Series | Sep 17, 2020 | Irregular Time SeriesTime Series | CodeCode Available | 1 |
| Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data | Sep 12, 2020 | DenoisingDiversity | CodeCode Available | 1 |
| Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting | Sep 10, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification | Sep 10, 2020 | General ClassificationTime Series | CodeCode Available | 1 |
| tsBNgen: A Python Library to Generate Time Series Data from an Arbitrary Dynamic Bayesian Network Structure | Sep 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Multivariate Time-series Anomaly Detection via Graph Attention Network | Sep 4, 2020 | Anomaly DetectionGraph Attention | CodeCode Available | 1 |
| Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition | Sep 1, 2020 | Action RecognitionImage Generation | CodeCode Available | 1 |
| Counterfactual Explanations for Machine Learning on Multivariate Time Series Data | Aug 25, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 1 |
| USAD: UnSupervised Anomaly Detection on Multivariate Time Series | Aug 23, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Attention based Multi-Modal New Product Sales Time-series Forecasting | Aug 23, 2020 | DecoderNew Product Sales Forecasting | CodeCode Available | 1 |
| Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation | Aug 21, 2020 | Change Point DetectionTime Series | CodeCode Available | 1 |
| TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks | Aug 21, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| HiPPO: Recurrent Memory with Optimal Polynomial Projections | Aug 17, 2020 | Permuted-MNISTSequential Image Classification | CodeCode Available | 1 |
| Learning from Irregularly-Sampled Time Series: A Missing Data Perspective | Aug 17, 2020 | DecoderTime Series | CodeCode Available | 1 |
| Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and Application | Aug 8, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 |
| Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality | Aug 2, 2020 | Generalization BoundsTime Series | CodeCode Available | 1 |
| Score-informed Networks for Music Performance Assessment | Aug 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks | Jul 31, 2020 | Data AugmentationGeneral Classification | CodeCode Available | 1 |
| Rethinking Recurrent Neural Networks and Other Improvements for Image Classification | Jul 30, 2020 | General Classificationimage-classification | CodeCode Available | 1 |
| Random Forests for dependent data | Jul 30, 2020 | Decision MakingGaussian Processes | CodeCode Available | 1 |
