[ICLR2023] 时序预测方向论文总结

接收论文

  1. Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting
  2. MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting
  3. Unsupervised Model Selection for Time Series Anomaly Detection
  4. Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting
  5. Contrastive Learning for Unsupervised Domain Adaptation of Time Series
  6. Temporal Dependencies in Feature Importance for Time Series Prediction
  7. Out-of-distribution Representation Learning for Time Series Classification
  8. TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
  9. A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
  10. Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
  11. Multivariate Time-series Imputation with Disentangled Temporal Representations
  12. CUTS: Neural Causal Discovery from Irregular Time-Series Data
  13. Recursive Time Series Data Augmentation

撤稿或者被拒论文

  1. Towards Unsupervised Time Series Representation Learning: A Decomposition Perspective
  2. Copula Conformal Prediction for Multi-step Time Series Forecasting
  3. HyperTime: Implicit Neural Representations for Time Series Generation
  4. Ti-MAE: Self-Supervised Masked Time Series Autoencoders
  5. Representing Multi-view Time-series Graph Structures for Multivariate Long-term Time-series Forecasting
  6. Dateformer: Transformer Extends Look-back Horizon to Predict Longer-term Time Series
  7. Effective Self-Supervised Transformers For Sparse Time Series Data
  8. Time Series Subsequence Anomaly Detection via Graph Neural Networks
  9. DeepTime: Deep Time-index Meta-learning for Non-stationary Time-series Forecasting
  10. Time-Transformer AAE: Connecting Temporal Convolutional Networks and Transformer for Time Series Generation
  11. A Decomposition Based Dual Projection Model for Multivariate Time Series Forecasting and Anomaly Detection
  12. ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
  13. Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees
  14. Univariate vs Multivariate Time Series Forecasting with Transformers
  15. Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series Forecasting
  16. MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Timeseries Forecasting and Prediction
  17. MATS: Memory Attention for Time-Series forecasting
论文总结

Last updated on Mar 14, 2023

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