Similarity learning
Definition
Similarity learning focuses on training models to map inputs into a vector space where …
Representation Learning
Feature learning
Definition
Feature learning, often associated with deep learning, enables models to learn …
Embedding Model
Definition
These models map high-dimensional data into a lower-dimensional continuous vector space …
Embedding
Definition
Embeddings are dense vector representations of data where semantic relationships are …