| Explaining Time Series Predictions with Dynamic Masks | Jun 9, 2021 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 | 5 |
| An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space | Nov 26, 2020 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks | Jul 31, 2020 | Data AugmentationGeneral Classification | CodeCode Available | 1 | 5 |
| Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection | Dec 17, 2020 | Malware DetectionTime Series | CodeCode Available | 1 | 5 |
| A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data | Jul 20, 2020 | Few-Shot LearningMulti-Task Learning | CodeCode Available | 1 | 5 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful | Jan 22, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method | Apr 10, 2025 | Time SeriesWeather Forecasting | CodeCode Available | 1 | 5 |
| Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning | Jun 23, 2020 | Knowledge GraphsMulti-Task Learning | CodeCode Available | 1 | 5 |
| Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling | Nov 21, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Explainable Deep Convolutional Candlestick Learner | Jan 8, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
