ConceptEmbeddingModels: BeyondtheAccuracy-ExplainabilityTrade-Off

Neural Information Processing Systems 

To address this, we propose Concept Embedding Models, a novel family of concept bottleneck models which goes beyond the current accuracy-vs-interpretability trade-off by learning interpretable highdimensional conceptrepresentations.