Questions tagged [zero-shot-learning]

For questions related to zero-shot learning, where training and test classes are disjoint. This problem can be tackled by solving related sub-problems, e.g. learning intermediate attribute classifiers.

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classification of unseen classes of image in open set classification

I have a scanned image, and they need to be classified in one of the pre-defined image classes, so that it can be sorted. However, the problem is the open nature of the classes. At testing time, new ...
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Zero shot learning available labels in testing set

As we all know, zero shot learning involves a model predicting classes that it has not seen. But we are given all the attributes each class might have. Is it fair to assume that we are "aware&...
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Is there Binary Zero-Shot Learning with no defined prototypes for the unseen class?

I deal with a text classification problem, where there are only two classes; relevant and irrelevant. That is, a text might be relevant / irrelevant with a predefined topic. I have a dataset that ...