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A survey on Concept-based Approaches For Model Improvement
March 22, 2024, 4:43 a.m. | Avani Gupta, P J Narayanan
cs.LG updates on arXiv.org arxiv.org
Abstract: The focus of recent research has shifted from merely increasing the Deep Neural Networks (DNNs) performance in various tasks to DNNs, which are more interpretable to humans. The field of eXplainable Artificial Intelligence (XAI) has observed various techniques, including saliency-based and concept-based approaches. Concept-based approaches explain the model's decisions in simple human understandable terms called Concepts. Concepts are human interpretable units of data and are the thinking ground of humans. Explanations in terms of concepts …
abstract artificial artificial intelligence arxiv concept cs.ai cs.lg explainable artificial intelligence focus humans improvement intelligence networks neural networks performance research survey tasks type xai
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