Zero-Shot Learning: Can you classify an object without seeing it before? - KDnuggets

The recent release of GPT-3 got me interested in the state of zero-shot learning and few-shot learning in NLP. While most of the zero-shot learning research is centered around Computer Vision, there has been some interesting work in the NLP domain as well. Over the last few decades, machines have become much more intelligent, but without a properly labeled training data set of seen classes, they cannot distinguish between two similar objects. On the other hand, humans are capable of identifying approximately 30,000 basic object categories. In machine learning, this is considered as the problem of Zero-shot learning (ZSL).