Learning to double-check model prediction from a causal perspective

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 when the confidence is low. To bridge this gap...

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Bibliographic Details
Main Authors: Deng, Xun, Feng, Fuli, Wang, Xiang, He, Xiangnan, Zhang, Hanwang, Chua, Tat-Seng
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/170568
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Institution: Nanyang Technological University
Language: English

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