Variational VQA applies variational Bayes to improve calibration and selective prediction on VQA and visual reasoning tasks, with gains at low error tolerance via a risk-averse selector that uses prediction variance.
Lawrence Zitnick, and Devi Parikh
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Variational Visual Question Answering for Uncertainty-Aware Selective Prediction
Variational VQA applies variational Bayes to improve calibration and selective prediction on VQA and visual reasoning tasks, with gains at low error tolerance via a risk-averse selector that uses prediction variance.