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Symbolic Metamodels for Interpreting Black-boxes Using Primitive
  Functions

Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions

AAAI Conference on Artificial Intelligence (AAAI), 2023
9 February 2023
Mahed Abroshan
Saumitra Mishra
Mohammad Mahdi Khalili
ArXiv (abs)PDFHTMLGithub

Papers citing "Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions"

2 / 2 papers shown
Defining and Quantifying the Emergence of Sparse Concepts in DNNs
Defining and Quantifying the Emergence of Sparse Concepts in DNNsComputer Vision and Pattern Recognition (CVPR), 2021
Jie Ren
Mingjie Li
Qirui Chen
Huiqi Deng
Quanshi Zhang
665
42
0
11 Nov 2021
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.7K
21,359
0
16 Feb 2016
1
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