Construct · 1 fields · 1 citations

zero-shot learning: a standalone construct

One name. One construct. A landmark on the map.

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Machine learning

recognizing classes never seen in training by transferring knowledge through shared descriptions such as human-specified attributes.

In machine learning, zero-shot learning refers to recognizing classes never seen in training by transferring knowledge through shared descriptions such as human-specified attributes. This meaning comes from Lampert (2009) in 2009 IEEE Conference on Computer Vision and Pattern Recognition.[1]

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Nearby constructs

knowledge6 fields · 12 citationsjingle · one name, six constructs learning6 fields · 14 citationsjingle · one name, six constructs pattern recognition4 fields · 4 citationsjingle · one word, four constructs

References

Lampert, C. H., Nickisch, H., & Harmeling, S. (2009). Learning to detect unseen object classes by between-class attribute transfer. 2009 IEEE Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/cvpr.2009.5206594

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