Abstract: Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this problem in ...

What is Zero-shot Classification? Zero-shot learning is a type of machine learning where instead of giving training examples, a high-level description of new categories is given so that the machine ...