Paper "interpretable machine learning" Papers

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V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer

Hangzhou He, Lei Zhu, Xinliang Zhang et al.

AAAI 2025paperarXiv:2501.04975
10
citations

Gaussian Process Neural Additive Models

Wei Zhang, Brian Barr, John Paisley

AAAI 2024paperarXiv:2402.12518
12
citations

Rethinking Robustness of Model Attributions

Sandesh Kamath, Sankalp Mittal, Amit Deshpande et al.

AAAI 2024paperarXiv:2312.10534
2
citations

Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction

Wei Qian, Chenxu Zhao, Yangyi Li et al.

AAAI 2024paperarXiv:2401.01549
10
citations