Exploring the Impact of a Transformer's Latent Space Geometry on Downstream Task Performance.
Anna C. MarbutJohn W. ChandlerTravis J. WheelerPublished in: CoRR (2024)
Keyphrases
- latent space
- latent variables
- dimensionality reduction
- gaussian process
- low dimensional
- parameter space
- lower dimensional
- manifold learning
- generative model
- gaussian process latent variable models
- gaussian processes
- distance metric
- matrix factorization
- high dimensional
- transfer learning
- feature space
- neural network