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May, 2024
通过概念重新对齐提高概念瓶颈模型中的干预效果
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
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Nishad Singhi, Jae Myung Kim, Karsten Roth, Zeynep Akata
TL;DR
该研究论文通过引入可训练的概念干预调整模块,利用概念关系重定位干预后的概念分配,从而显著提高干预效果,并且能够降低人机协作成本。
Abstract
concept bottleneck models
(CBMs) ground image classification on human-understandable concepts to allow for
interpretable model decisions
. Crucially, the CBM design inherently allows for
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