Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder.
Zhenghao LiuHan ZhangChenyan XiongZhiyuan LiuYu GuXiaohua LiPublished in: EMNLP (2022)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional problems
- high dimensional
- feature selection
- manifold learning
- singular value decomposition
- low dimensional
- variable selection
- data mining and machine learning
- cluster analysis
- random projections
- dimension reduction methods
- high dimensional data analysis
- partial least squares
- information retrieval