| Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data | Apr 16, 2021 | BenchmarkingCausal Discovery | CodeCode Available | 1 |
| D3A-TS: Denoising-Driven Data Augmentation in Time Series | Dec 9, 2023 | Data AugmentationDenoising | CodeCode Available | 1 |
| Data Normalization for Bilinear Structures in High-Frequency Financial Time-series | Jan 10, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Decomposing non-stationary signals with time-varying wave-shape functions | Oct 14, 2020 | Computational Efficiencyregression | CodeCode Available | 1 |
| Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress | Sep 29, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series | Apr 25, 2024 | Earth ObservationImage Super-Resolution | CodeCode Available | 1 |
| CUTS+: High-dimensional Causal Discovery from Irregular Time-series | May 10, 2023 | Causal DiscoveryDecision Making | CodeCode Available | 1 |
| Domain Adaptation for Time Series Forecasting via Attention Sharing | Feb 13, 2021 | Domain AdaptationTime Series | 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 |
| CUTS: Neural Causal Discovery from Irregular Time-Series Data | Feb 15, 2023 | Causal DiscoveryGraph Neural Network | CodeCode Available | 1 |
| Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects | Oct 1, 2018 | regressionTime Series | CodeCode Available | 1 |
| Deep Isolation Forest for Anomaly Detection | Jun 14, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting | Mar 15, 2022 | SchedulingTime Series | CodeCode Available | 1 |
| Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection | Jul 17, 2023 | Anomaly DetectionGraph Learning | CodeCode Available | 1 |
| Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets | Sep 28, 2021 | ClassificationTime Series | CodeCode Available | 1 |
| Copula Conformal Prediction for Multi-step Time Series Forecasting | Dec 6, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 |
| A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning | May 30, 2023 | Anomaly DetectionData Augmentation | CodeCode Available | 1 |
| Contrastive Learning for Unsupervised Domain Adaptation of Time Series | Jun 13, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 |
| Convolutional Radio Modulation Recognition Networks | Feb 12, 2016 | General ClassificationTime Series | CodeCode Available | 1 |
| Cost-effective Interactive Attention Learning with Neural Attention Processes | Jun 9, 2020 | RerankingTime Series | CodeCode Available | 1 |
| Continuous-Time Deep Glioma Growth Models | Jun 23, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Continuous Latent Process Flows | Jun 29, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations | Jun 16, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| Context-self contrastive pretraining for crop type semantic segmentation | Apr 9, 2021 | Contrastive LearningSegmentation | CodeCode Available | 1 |
| Continual Transformers: Redundancy-Free Attention for Online Inference | Jan 17, 2022 | Action DetectionAudio Classification | 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 |
| Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting | Mar 8, 2024 | Time Series | CodeCode Available | 1 |
| A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series | Jul 5, 2017 | ClassificationEEG | CodeCode Available | 1 |
| Contrastive Difference Predictive Coding | Oct 31, 2023 | Representation LearningTime Series | CodeCode Available | 1 |
| Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting | Sep 4, 2021 | Irregular Time SeriesRepresentation Learning | CodeCode Available | 1 |
| Contrastive Neural Processes for Self-Supervised Learning | Oct 24, 2021 | Contrastive LearningData Augmentation | CodeCode Available | 1 |
| Neural graphical modelling in continuous-time: consistency guarantees and algorithms | May 6, 2021 | Causal DiscoveryGraph Learning | CodeCode Available | 1 |
| Convolution-enhanced Evolving Attention Networks | Dec 16, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| A Transformer-based Framework for Multivariate Time Series Representation Learning | Oct 6, 2020 | Computational EfficiencyGeneral Classification | CodeCode Available | 1 |
| Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping | Jun 12, 2023 | Correlated Time Series ForecastingRepresentation Learning | CodeCode Available | 1 |
| A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction | Sep 26, 2024 | Mixture-of-ExpertsPrediction | CodeCode Available | 1 |
| COVID-19 Data Analysis and Forecasting: Algeria and the World | Jul 19, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series | Oct 15, 2021 | ClassificationCrop Classification | CodeCode Available | 1 |
| AtsPy: Automated Time Series Forecasting in Python | May 14, 2020 | SurveyTime Series | 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 |
| Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer | May 20, 2022 | Contrastive LearningRepresentation Learning | CodeCode Available | 1 |
| A Deep Learning Approach to Analyzing Continuous-Time Systems | Sep 25, 2022 | Deep LearningTime Series | CodeCode Available | 1 |
| CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation | Jul 7, 2021 | Audio SynthesisImage Generation | CodeCode Available | 1 |
| Attention as an RNN | May 22, 2024 | GPUTime Series | CodeCode Available | 1 |
| Construe: a software solution for the explanation-based interpretation of time series | Mar 17, 2020 | Atrial Fibrillation DetectionHeartbeat Classification | CodeCode Available | 1 |
| DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series | Apr 17, 2024 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series | Oct 21, 2023 | Contrastive LearningEEG | CodeCode Available | 1 |
| COT-GAN: Generating Sequential Data via Causal Optimal Transport | Jun 15, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Conformal Prediction for Time Series with Modern Hopfield Networks | Mar 22, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 |
