If Concept Bottlenecks are the Question, are Foundation Models the Answer?
nicola-debole
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1 min read
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts
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Logic Explanation of AI Classifiers by Categorical Explaining Functors
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Leveraging Complementary AI Explanations to Mitigate Misunderstanding in XAI
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Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts
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Causally Reliable Concept Bottleneck Models
Neural Interpretable Reasoning
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Large Language Models for In-File Vulnerability Localization Can Be \"Lost in the End\"
Using AI explainable models and handwriting/drawing tasks for psychological well-being
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