Extracting Low-Dimensional Psychological Representations from Convolutional Neural Networks.
Aditi JhaJoshua C. PetersonThomas L. GriffithsPublished in: Cogn. Sci. (2023)
Keyphrases
- convolutional neural networks
- low dimensional
- high dimensional
- dimensionality reduction
- manifold learning
- convolutional network
- high dimensional data
- euclidean space
- linear subspace
- feature representation
- data sets
- input space
- higher level
- data points
- graph embedding
- linear dimensionality reduction
- principal component analysis
- automatically extracted
- human cognition
- multiple representations
- human decision making
- pairwise distances
- pairwise
- pattern recognition