Explainability
Concept Identification
Identifies learned concepts in models (e.g., CAVs, Neuron Activation Analysis)
2 techniques in this subcategory
2 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| Neuron Activation Analysis | Algorithmic | Architecture/neural Networks Requirements/model Internals +1 | Text | Neuron activation analysis examines the firing patterns of individual neurons in neural networks by probing them with... | ||
| Concept Activation Vectors | Algorithmic | Architecture/neural Networks Requirements/gradient Access +2 | Any | Concept Activation Vectors (CAVs), also known as Testing with Concept Activation Vectors (TCAV), identify mathematical... |
Rows per page
Page 1 of 1