| Cost-effective Interactive Attention Learning with Neural Attention Processes | Jun 9, 2020 | RerankingTime Series | CodeCode Available | 1 |
| Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform | May 22, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations | May 31, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Interpretable Time-series Classification on Few-shot Samples | Jun 3, 2020 | ClassificationFew-Shot Learning | CodeCode Available | 1 |
| Inter-Series Attention Model for COVID-19 Forecasting | Oct 25, 2020 | modelTime Series | CodeCode Available | 1 |
| Intrinsic persistent homology via density-based metric learning | Dec 11, 2020 | Anomaly DetectionMetric Learning | CodeCode Available | 1 |
| COT-GAN: Generating Sequential Data via Causal Optimal Transport | Jun 15, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Counterfactual Explanations for Time Series Forecasting | Oct 12, 2023 | counterfactualTime Series | CodeCode Available | 1 |
| Joint learning of variational representations and solvers for inverse problems with partially-observed data | Jun 5, 2020 | Image InpaintingTime Series | CodeCode Available | 1 |
| Jumping VaR: Order Statistics Volatility Estimator for Jumps Classification and Market Risk Modeling | Mar 22, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Adaptive Conformal Predictions for Time Series | Feb 15, 2022 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks | Nov 1, 2024 | Anomaly DetectionKolmogorov-Arnold Networks | CodeCode Available | 1 |
| Appliance Detection Using Very Low-Frequency Smart Meter Time Series | May 10, 2023 | Meter ReadingTime Series | CodeCode Available | 1 |
| Keiki: Towards Realistic Danmaku Generation via Sequential GANs | Jul 7, 2021 | DiversityTime Series | CodeCode Available | 1 |
| Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer | May 20, 2022 | Contrastive LearningRepresentation Learning | CodeCode Available | 1 |
| Convolution-enhanced Evolving Attention Networks | Dec 16, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets | Sep 28, 2021 | ClassificationTime Series | CodeCode Available | 1 |
| LANISTR: Multimodal Learning from Structured and Unstructured Data | May 26, 2023 | Time 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 |
| Large Pre-trained time series models for cross-domain Time series analysis tasks | Nov 19, 2023 | Self-Supervised LearningTime Series | CodeCode Available | 1 |
| Contrastive Neural Processes for Self-Supervised Learning | Oct 24, 2021 | Contrastive LearningData Augmentation | CodeCode Available | 1 |
| LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting | May 16, 2024 | In-Context LearningTime Series | CodeCode Available | 1 |
| LEAD1.0: A Large-scale Annotated Dataset for Energy Anomaly Detection in Commercial Buildings | Mar 30, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Convolutional Radio Modulation Recognition Networks | Feb 12, 2016 | General ClassificationTime Series | CodeCode Available | 1 |
