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TimesURL:Self-supervised Contrastive Learning for Universal Time Series Representation Learning

Created2024-11-04|Updated2025-02-28
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Author: ALTNT
Link: http://blog.705553939.xyz/2024/11/04/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/%E8%87%AA%E7%9B%91%E7%9D%A3/2024-AAAI2024-TimesURL/
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TimesURL:Self-supervised Contrastive Learning for Universal Time Series Representation Learning
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Contents
  1. 1. TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning
    1. 1.1. 摘要
    2. 1.2. 引言
    3. 1.3. 相关工作
      1. 1.3.1. 时间序列的无监督表示学习。
      2. 1.3.2. 时间序列对比学习。
    4. 1.4. Proposed TimesURL Framework
      1. 1.4.1. 表示学习问题表述。
      2. 1.4.2. 方法介绍。
      3. 1.4.3. FTAug （Frequency - Temporal - Based Augmentation 基于频率 - 时间的增强方法)方法
        1. 1.4.3.1. 频率混合。
        2. 1.4.3.2. 随机裁剪。
      4. 1.4.4. Double Universum Learning
      5. 1.4.5. 对比学习在片段级信息中的应用
      6. 1.4.6. 实例级信息的时间重建
    5. 1.5. 实验
      1. 1.5.1. 实施
      2. 1.5.2. Baselines
        1. 1.5.2.1. 预测：
        2. 1.5.2.2. 分类：
        3. 1.5.2.3. 插补：
        4. 1.5.2.4. 异常检测：
      3. 1.5.3. 分类
        1. 1.5.3.1. setup：
        2. 1.5.3.2. 结果：
      4. 1.5.4. 插补
        1. 1.5.4.1. setup
        2. 1.5.4.2. 结果
      5. 1.5.5. 短期和长期预测
        1. 1.5.5.1. setup
        2. 1.5.5.2. 结果
      6. 1.5.6. 异常检测
        1. 1.5.6.1. setup
      7. 1.5.7. 迁移学习
      8. 1.5.8. 消融研究
    6. 1.6. 结论
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