Construct · 1 fields · 1 citations

saliency map sanity checks: a standalone construct

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Computer vision

tests showing that some explanation maps barely change when model weights or labels are randomized, so they reflect the input more than what the model learned.

In computer vision, saliency map sanity checks refers to tests showing that some explanation maps barely change when model weights or labels are randomized, so they reflect the input more than what the model learned. This meaning comes from Adebayo (2018) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

model3 fields · 3 citationsjingle · one word, three constructs salience4 fields · 7 citationsjingle · one word, four constructs

References

Adebayo, J., Gilmer, J., Muelly, M., Goodfellow, I., Hardt, M., & Kim, B. (2018). Sanity Checks for Saliency Maps. arXiv. https://doi.org/10.48550/arxiv.1810.03292

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