Tcav
PulseAugur coverage of Tcav — every cluster mentioning Tcav across labs, papers, and developer communities, ranked by signal.
-
Visual-TCAV offers new explainability for image classification models
Researchers have developed Visual-TCAV, a new framework for explaining image classification models. This method combines local saliency maps with concept-based attribution, addressing limitations of existing techniques.…
-
New framework enhances stability of deep learning concept explainability
Researchers have introduced $\alpha$-TCAV, a new framework designed to improve the statistical stability and practical utility of Concept Activation Vectors (CAVs) in deep learning explainability. The proposed method ad…
-
E-TCAV framework boosts efficiency for concept-based AI interpretability
Researchers have developed E-TCAV, a new framework designed to make concept-based interpretability methods more efficient. E-TCAV addresses computational overhead and statistical instability issues found in existing TCA…