Black-box Prompt Tuning with Subspace Learning.
Yuanhang ZhengZhixing TanPeng LiYang LiuPublished in: CoRR (2023)
Keyphrases
- black box
- subspace learning
- dimensionality reduction
- manifold learning
- black boxes
- white box
- face recognition
- sparse coding
- low dimensional
- sparse representation
- data representation
- semi supervised
- principal component analysis
- test cases
- learning algorithm
- high dimensional data
- maximum margin criterion
- data analysis
- subspace learning algorithm
- open source
- unsupervised learning
- database
- integration testing
- white box testing
- model selection
- linear combination
- generative model
- natural images
- input data
- knn
- training set
- pattern recognition
- feature selection
- machine learning
- data mining