one-shot learning
A machine learning approach, often used for object classification, designed to learn effective classification model from a single training example.
Plain English Explanation
A machine learning approach, often used for object classification, designed to learn effective classification model from a single training example. See also few-shot learning and zero-shot learning.
How is it used?
Practitioners refer to one-shot learning when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.