Learning to Double-Check Model Prediction From a Causal Perspective.
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DOI: 10.1109/tnnls.2023.3264712
Abstract: The present machine learning schema typically uses a one-pass model inference (e.g., forward propagation) to make predictions in the testing phase. It is inherently different from human students who double-check the answer during examinations especially… read more here.
Keywords: model prediction; prediction; double check; learning double ... See more keywords