What is recorded here?
Learns concept directions from positive and counterexample activations, measures output directional derivatives along these directions and aggregates their signs into class-level concept sensitivity.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Depends on selected concepts, negatives, layer and local linear separator; statistical repetition is not proof that a semantic concept causally determines predictions. V1 has five authors; v5 has seven with changed order and membership. Only general image-model method is curated; medical application excluded.
Read the original work
- TCAV: Relative concept importance testing with Linear Concept Activation Vectors
- Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Been Kim; Justin Gilmer; Fernanda Viegas; Ulfar Erlingsson; Martin Wattenberg; Carrie Cai; James Wexler; Rory Sayres
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
TCAV: concept-vector directional sensitivity testing
Learns concept directions from positive and counterexample activations, measures output directional derivatives along these directions and aggregates their signs into class-level concept sensitivity.
Scientific scope
Depends on selected concepts, negatives, layer and local linear separator; statistical repetition is not proof that a semantic concept causally determines predictions. V1 has five authors; v5 has seven with changed order and membership. Only general image-model method is curated; medical application excluded.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Been Kim; Justin Gilmer; Fernanda Viegas; Ulfar Erlingsson; Martin Wattenberg; Carrie Cai; James Wexler; Rory Sayres
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.