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Can we Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features?

Jack FurbyDaniel CunningtonDave BrainesAlun D. Preece
Published in: CoRR (2024)
Keyphrases
  • semantically meaningful
  • input features
  • machine learning algorithms
  • prior knowledge
  • probabilistic model
  • object level
  • machine learning
  • learning algorithm
  • computer vision
  • support vector machine