How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy.
Sara RajaeeMohammad Taher PilehvarPublished in: CoRR (2021)
Keyphrases
- fine tuning
- embedding space
- geometric structure
- euclidean space
- geodesic distance
- manifold learning
- graph embedding
- low dimensional
- input space
- high dimensional
- relative position
- dimensionality reduction
- fine tuned
- data points
- computer vision
- visual data
- euclidean distance
- subspace learning
- riemannian manifolds
- query processing
- data sets