Zero-Shot Transfer Learning Algorithm

A Zero-Shot Transfer Learning Algorithm is a transfer learning algorithm that can be implemented by a zero-shot learning system to solve zero-shot learning tasks.

• Context:
  • ...
• Example(s):
  • Direct Attribute Prediction: An algorithm that learns to map input features to a semantic space, typically defined by class attributes.
  • Indirect Attribute Prediction: An algorithm that first learns to map input features to the known class labels, and then maps class labels to the semantic space.
  • Transductive Zero-Shot Learning Algorithm: An algorithm that leverages the knowledge of the test data (without class labels) during training.
  • ...
• Counter-Example(s):
  • Few-Shot Learning Algorithm.
• See: Semantic Space, Auxiliary Information.

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