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| Convolution-enhanced Evolving Attention Networks | Dec 16, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data | Apr 16, 2021 | BenchmarkingCausal Discovery | CodeCode Available | 1 |
| FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities | Oct 30, 2024 | Irregular Time SeriesMissing Values | CodeCode Available | 1 |
| BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting | Oct 3, 2024 | EpidemiologyMultivariate Time Series Forecasting | CodeCode Available | 1 |
| FM-TS: Flow Matching for Time Series Generation | Nov 12, 2024 | BenchmarkingImputation | CodeCode Available | 1 |
| CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting | Jun 8, 2024 | AttributeMamba | CodeCode Available | 1 |
| Forecasting Irregularly Sampled Time Series using Graphs | May 22, 2023 | AstronomyMissing Values | CodeCode Available | 1 |
| Hierarchical forecasting with a top-down alignment of independent level forecasts | Mar 15, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Forecasting Sequential Data using Consistent Koopman Autoencoders | Mar 4, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| An Empirical Framework for Domain Generalization in Clinical Settings | Mar 20, 2021 | Domain GeneralizationTime Series | CodeCode Available | 1 |
| Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study | May 16, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 |
| Badgers: generating data quality deficits with Python | Jul 10, 2023 | Time Series | CodeCode Available | 1 |
| ForecastPFN: Synthetically-Trained Zero-Shot Forecasting | Nov 3, 2023 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Cloud gap-filling with deep learning for improved grassland monitoring | Mar 14, 2024 | Deep LearningEvent Detection | CodeCode Available | 1 |
| CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations | May 25, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method | Apr 10, 2025 | Time SeriesWeather Forecasting | CodeCode Available | 1 |
| Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting | May 30, 2023 | DecoderTime Series | 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 |
| 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 |
| Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning | Jun 23, 2020 | Knowledge GraphsMulti-Task Learning | CodeCode Available | 1 |
| From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction | Apr 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection | Dec 17, 2020 | Malware DetectionTime Series | CodeCode Available | 1 |
| Axial-LOB: High-Frequency Trading with Axial Attention | Dec 4, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks | Jan 6, 2022 | Audio ClassificationClassification | CodeCode Available | 1 |