| 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 |
