convolutiondepth
GlanceNets: Interpretable, Leak-proof Concept-basedModels
One reason is that the notion of interpretability is notoriously challenging to pin down, andtherefore existing CBMs rely ondifferent heuristics--such asencouraging theconcepts tobe sparse [1], orthonormal to each other [5], or match the contents of concrete examples [3]--with unclear properties and incompatible goals.
Country:
- Europe > Italy > Trentino-Alto Adige/Südtirol > Trentino Province > Trento (0.04)
- Europe > Italy > Tuscany > Pisa Province > Pisa (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)