| Domain Adaptation for Time Series Forecasting via Attention Sharing | Feb 13, 2021 | Domain AdaptationTime Series | CodeCode Available | 1 |
| MAGIC: Microlensing Analysis Guided by Intelligent Computation | Jun 16, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| MALI: A memory efficient and reverse accurate integrator for Neural ODEs | Feb 9, 2021 | Image GenerationTime Series | CodeCode Available | 1 |
| Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series | Oct 15, 2021 | ClassificationCrop Classification | CodeCode Available | 1 |
| COVID-19 Data Analysis and Forecasting: Algeria and the World | Jul 19, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Counterfactual Explanations for Time Series Forecasting | Oct 12, 2023 | counterfactualTime Series | CodeCode Available | 1 |
| Crop mapping from image time series: deep learning with multi-scale label hierarchies | Feb 17, 2021 | Crop ClassificationGeneral Classification | CodeCode Available | 1 |
| Manifold Topology Divergence: a Framework for Comparing Data Manifolds. | May 21, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables | May 29, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| MarketGPT: Developing a Pre-trained transformer (GPT) for Modeling Financial Time Series | Nov 25, 2024 | Time Series | CodeCode Available | 1 |
| Masked Generative Modeling with Enhanced Sampling Scheme | Sep 14, 2023 | DiversityTime Series | CodeCode Available | 1 |
| Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution | Dec 2, 2020 | Causal InferenceGPU | CodeCode Available | 1 |
| COT-GAN: Generating Sequential Data via Causal Optimal Transport | Jun 15, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| An efficient aggregation method for the symbolic representation of temporal data | Jan 14, 2022 | Dimensionality ReductionInformation Retrieval | CodeCode Available | 1 |
| MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation | Sep 25, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Memory-free Online Change-point Detection: A Novel Neural Network Approach | Jul 8, 2022 | Change Point DetectionTime Series | CodeCode Available | 1 |
| Contrastive Domain Adaptation for Time-Series via Temporal Mixup | Dec 3, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 |
| Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection | Jul 17, 2023 | Anomaly DetectionGraph Learning | CodeCode Available | 1 |
| Methodology for forecasting and optimization in IEEE-CIS 3rd Technical Challenge | Feb 2, 2022 | Load ForecastingMultivariate Time Series Forecasting | CodeCode Available | 1 |
| Leveraging Class Hierarchies with Metric-Guided Prototype Learning | Jul 6, 2020 | General ClassificationSemantic Segmentation | CodeCode Available | 1 |
| Cost-effective Interactive Attention Learning with Neural Attention Processes | Jun 9, 2020 | RerankingTime Series | CodeCode Available | 1 |
| MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series | Dec 2, 2022 | ClusteringContrastive Learning | CodeCode Available | 1 |
| Counterfactual Explanations for Machine Learning on Multivariate Time Series Data | Aug 25, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 1 |
| MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification | Dec 16, 2020 | General ClassificationTime Series | CodeCode Available | 1 |
| Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer | May 20, 2022 | Contrastive LearningRepresentation Learning | CodeCode Available | 1 |
| Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series | Mar 17, 2022 | Contrastive LearningData Augmentation | CodeCode Available | 1 |
| Mixture-of-Linear-Experts for Long-term Time Series Forecasting | Dec 11, 2023 | Mixture-of-ExpertsTime Series | CodeCode Available | 1 |
| dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification | Jul 25, 2022 | ClassificationExplainable Models | CodeCode Available | 1 |
| Convolutional Radio Modulation Recognition Networks | Feb 12, 2016 | General ClassificationTime Series | CodeCode Available | 1 |
| A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning | May 30, 2023 | Anomaly DetectionData Augmentation | CodeCode Available | 1 |
| Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets | Sep 28, 2021 | ClassificationTime Series | CodeCode Available | 1 |
| Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks | Mar 21, 2017 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Contrastive Learning for Unsupervised Domain Adaptation of Time Series | Jun 13, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 |
| Contrastive Neural Processes for Self-Supervised Learning | Oct 24, 2021 | Contrastive LearningData Augmentation | CodeCode Available | 1 |
| Convolution-enhanced Evolving Attention Networks | Dec 16, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| Monash University, UEA, UCR Time Series Extrinsic Regression Archive | Jun 19, 2020 | BenchmarkingMissing Values | CodeCode Available | 1 |
| Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration | Jun 25, 2024 | Change DetectionMulti-Task Learning | CodeCode Available | 1 |
| Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations | Jun 16, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| Aligning Time Series on Incomparable Spaces | Jun 22, 2020 | Dynamic Time WarpingImitation Learning | CodeCode Available | 1 |
| MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity | Jul 7, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series | Oct 21, 2023 | Contrastive LearningEEG | CodeCode Available | 1 |
| MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian | Sep 1, 2022 | Graph Neural NetworkLink Prediction | CodeCode Available | 1 |
| Continuous Latent Process Flows | Jun 29, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data | Oct 23, 2020 | Deep LearningImputation | CodeCode Available | 1 |
| A Review of Graph Neural Networks and Their Applications in Power Systems | Jan 25, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting | May 24, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data | Nov 11, 2024 | Time Series | CodeCode Available | 1 |
| Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning | Sep 30, 2022 | ECG ClassificationKnowledge Distillation | CodeCode Available | 1 |
| Continual Transformers: Redundancy-Free Attention for Online Inference | Jan 17, 2022 | Action DetectionAudio Classification | CodeCode Available | 1 |
| Continuous-Time Deep Glioma Growth Models | Jun 23, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |