| Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer | Dec 10, 2023 | DecoderTime Series | CodeCode Available | 1 |
| D3A-TS: Denoising-Driven Data Augmentation in Time Series | Dec 9, 2023 | Data AugmentationDenoising | CodeCode Available | 1 |
| Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification | Dec 7, 2023 | Data AugmentationRepresentation Learning | CodeCode Available | 1 |
| TimeDRL: Disentangled Representation Learning for Multivariate Time-Series | Dec 7, 2023 | Inductive BiasRepresentation Learning | CodeCode Available | 1 |
| Graph Convolutions Enrich the Self-Attention in Transformers! | Dec 7, 2023 | Clone Detection | CodeCode Available | 1 |
| MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection | Dec 5, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation | Dec 4, 2023 | ImputationInductive Bias | CodeCode Available | 1 |
| Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach | Dec 4, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| LoCoMotif: Discovering time-warped motifs in time series | Nov 29, 2023 | Time Series | CodeCode Available | 1 |
| Event Detection in Time Series: Universal Deep Learning Approach | Nov 27, 2023 | Binary ClassificationDeep Learning | CodeCode Available | 1 |
| Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter View | Nov 24, 2023 | Anomaly DetectionFew-Shot Learning | CodeCode Available | 1 |
| FRUITS: Feature Extraction Using Iterated Sums for Time Series Classification | Nov 24, 2023 | Time SeriesTime Series Classification | CodeCode Available | 1 |
| Set Features for Anomaly Detection | Nov 24, 2023 | Anomaly DetectionDensity Estimation | CodeCode Available | 1 |
| Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling | Nov 21, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Random Fourier Signature Features | Nov 20, 2023 | Time Series | CodeCode Available | 1 |
| Neural Dynamical Operator: Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization Methods | Nov 20, 2023 | Operator learningTime Series | CodeCode Available | 1 |
| Large Pre-trained time series models for cross-domain Time series analysis tasks | Nov 19, 2023 | Self-Supervised LearningTime Series | CodeCode Available | 1 |
| Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution | Nov 19, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Inherently Interpretable Time Series Classification via Multiple Instance Learning | Nov 16, 2023 | Decision MakingMultiple Instance Learning | CodeCode Available | 1 |
| Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction | Nov 9, 2023 | Computational EfficiencyTime Series | CodeCode Available | 1 |
| Multi-resolution Time-Series Transformer for Long-term Forecasting | Nov 7, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization | Nov 6, 2023 | ManagementPosition | CodeCode Available | 1 |
| Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead | Nov 5, 2023 | 3D Anomaly DetectionAnomaly Detection | CodeCode Available | 1 |
| ForecastPFN: Synthetically-Trained Zero-Shot Forecasting | Nov 3, 2023 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Time Series Anomaly Detection using Diffusion-based Models | Nov 2, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning | Nov 1, 2023 | Contrastive LearningRetrieval | CodeCode Available | 1 |
| Contrastive Difference Predictive Coding | Oct 31, 2023 | Representation LearningTime Series | CodeCode Available | 1 |
| BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis | Oct 31, 2023 | Contrastive LearningSelf-Supervised Learning | CodeCode Available | 1 |
| FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space | Oct 30, 2023 | Contrastive LearningTime Series | CodeCode Available | 1 |
| A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP | Oct 25, 2023 | Binary ClassificationDeep Learning | CodeCode Available | 1 |
| Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs | Oct 24, 2023 | Graph LearningGraph Neural Network | CodeCode Available | 1 |
| Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift | Oct 23, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models | Oct 23, 2023 | De-identificationDenoising | CodeCode Available | 1 |
| Learning spatio-temporal patterns with Neural Cellular Automata | Oct 23, 2023 | Time Series | CodeCode Available | 1 |
| Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks | Oct 23, 2023 | Irregular Time SeriesTime Series | CodeCode Available | 1 |
| Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series | Oct 21, 2023 | Contrastive LearningEEG | CodeCode Available | 1 |
| FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery | Oct 20, 2023 | DiversityLand Cover Classification | CodeCode Available | 1 |
| Hierarchical Forecasting at Scale | Oct 19, 2023 | Production ForecastingTime Series | CodeCode Available | 1 |
| Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series | Oct 19, 2023 | DiversityFeature Engineering | CodeCode Available | 1 |
| A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis | Oct 18, 2023 | Anomaly DetectionImputation | CodeCode Available | 1 |
| Compatible Transformer for Irregularly Sampled Multivariate Time Series | Oct 17, 2023 | Time Series | CodeCode Available | 1 |
| When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting | Oct 17, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting | Oct 15, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing images | Oct 14, 2023 | ObjectTime Series | CodeCode Available | 1 |
| Counterfactual Explanations for Time Series Forecasting | Oct 12, 2023 | counterfactualTime Series | CodeCode Available | 1 |
| NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining | Oct 11, 2023 | Anomaly DetectionFew-Shot Learning | CodeCode Available | 1 |
| S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models | Oct 10, 2023 | Sleep StagingState Space Models | CodeCode Available | 1 |
| Discovering Mixtures of Structural Causal Models from Time Series Data | Oct 10, 2023 | Causal DiscoveryTime Series | CodeCode Available | 1 |
| Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain | Oct 9, 2023 | Time SeriesTime Series Classification | CodeCode Available | 1 |
| TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting | Oct 8, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
