| Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case | Jan 23, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 | 5 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful | Jan 22, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| DeepUnifiedMom: Unified Time-series Momentum Portfolio Construction via Multi-Task Learning with Multi-Gate Mixture of Experts | Jun 13, 2024 | ManagementMixture-of-Experts | CodeCode Available | 1 | 5 |
| An efficient aggregation method for the symbolic representation of temporal data | Jan 14, 2022 | Dimensionality ReductionInformation Retrieval | CodeCode Available | 1 | 5 |
| DeepVATS: Deep Visual Analytics for Time Series | Feb 8, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting | Jun 11, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Bayesian Neural Architecture Search using A Training-Free Performance Metric | Jan 29, 2020 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 1 | 5 |
| Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown | Feb 21, 2021 | DecoderTime Series | CodeCode Available | 1 | 5 |
| Denoising-Aware Contrastive Learning for Noisy Time Series | Jun 7, 2024 | Contrastive LearningDenoising | CodeCode Available | 1 | 5 |
| Fine-grained Attention in Hierarchical Transformers for Tabular Time-series | Jun 21, 2024 | Time Series | CodeCode Available | 1 | 5 |
