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Found 2 papers, 1 papers with code
Attribute Diversity Determines the Systematicity Gap in VQA
The degree to which neural networks can generalize to new combinations of familiar concepts, and the conditions under which they are able to do so, has long been an open question.
The Calibration Generalization Gap
We propose a systematic way to study the calibration error: by decomposing it into (1) calibration error on the train set, and (2) the calibration generalization gap.
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