"If most training images of cows show green grass, a model may learn to associate the label “cow” with the background instead of relying primarily on the animal itself."
MIT's explanation of shortcut learning explicitly uses cow photographs and green grass to illustrate how image classifiers can exploit background correlations rather than the intended visual characteristics. The example closely matches the manuscript's central illustration of how learned representations can encode misleading shortcuts.
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