AIBullisharXiv – CS AI · May 126/10
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E-TCAV: Formalizing Penultimate Proxies for Efficient Concept Based Interpretability
Researchers introduce E-TCAV, an optimized version of TCAV that improves the efficiency and stability of neural network interpretability testing by leveraging penultimate layer representations. The method achieves linear speed-ups while maintaining accuracy, advancing practical tools for model debugging and real-time concept-guided training across vision and language tasks.