Before revision: Zero-shot learning relies on semantic class representations such as attributes or pretrained embeddings to predict classes without any labeled examples.
After revision: Zero-shot learning relies on semantic class representations such as hand-engineered attributes or learned embeddings to predict classes without any labeled examples.