基于自监督学习
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
- Training scheme contrasts the sample with distributionally-shifted augmentations of itself.
- Model learns a new task of discriminating between in- and out-of-distribution, in addition to the original task of discriminating within in-distribution.
特征变换迁移
统计特征变换迁移
- Maximum Mean Discrepancy, MMD 最大均值差异
- 求两个概率分布映射到另一个空间中的数据的均值之差。
- 度量学习
- 核心是聚类假设:同一簇数据极有可能属于同一级别。度量学习着重刻画样本与样本间的距离。度量学习对于类内距、类间距的学习更加重视。
- Linear Discriminant Analysis, LDA
- Metric Learning: A Survey
- 度量学习 Deep Metric Learning: A Survey