Zero-Shot Transfer Learning Algorithm
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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:
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- 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.
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- Counter-Example(s):
- See: Semantic Space, Auxiliary Information.