| AA-Forecast: Anomaly-Aware Forecast for Extreme Events | Aug 21, 2022 | Anomaly ForecastingMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Deep Autoregressive Models with Spectral Attention | Jul 13, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Deep ConvLSTM with self-attention for human activity decoding using wearables | May 2, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines | Jun 26, 2021 | BIG-bench Machine LearningManagement | CodeCode Available | 1 | 5 |
| Attention as an RNN | May 22, 2024 | GPUTime Series | CodeCode Available | 1 | 5 |
| Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective | Feb 18, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Deep Attentive Time Warping | Sep 13, 2023 | Dynamic Time WarpingMetric Learning | CodeCode Available | 1 | 5 |
| Deep Counterfactual Estimation with Categorical Background Variables | Oct 11, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Deep Learning for Time Series Anomaly Detection: A Survey | Nov 9, 2022 | Anomaly DetectionDeep Learning | CodeCode Available | 1 | 5 |
| Decomposing non-stationary signals with time-varying wave-shape functions | Oct 14, 2020 | Computational Efficiencyregression | CodeCode Available | 1 | 5 |
