Improving performance of deep learning models with axiomatic attribution priors and expected gradients

Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee. Improving performance of deep learning models with axiomatic attribution priors and expected gradients. Nat. Mach. Intell., 3(7):620-631, 2021. [doi]

@article{ErionJSLL21,
  title = {Improving performance of deep learning models with axiomatic attribution priors and expected gradients},
  author = {Gabriel G. Erion and Joseph D. Janizek and Pascal Sturmfels and Scott M. Lundberg and Su-In Lee},
  year = {2021},
  doi = {10.1038/s42256-021-00343-w},
  url = {https://doi.org/10.1038/s42256-021-00343-w},
  researchr = {https://researchr.org/publication/ErionJSLL21},
  cites = {0},
  citedby = {0},
  journal = {Nat. Mach. Intell.},
  volume = {3},
  number = {7},
  pages = {620-631},
}