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Improving Attribution Methods by Learning Submodular Functions
v1v2v3v4 (latest)

Improving Attribution Methods by Learning Submodular Functions

International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
19 April 2021
Piyushi Manupriya
Tarun Ram Menta
S. Jagarlapudi
V. Balasubramanian
    TDI
ArXiv (abs)PDFHTMLGithub (1★)

Papers citing "Improving Attribution Methods by Learning Submodular Functions"

4 / 4 papers shown
Robust Ranking Explanations
Robust Ranking Explanations
Chao Chen
Chenghua Guo
Guixiang Ma
Ming Zeng
Xi Zhang
Sihong Xie
FAttAAML
473
0
0
08 Jul 2023
On the Robustness of Explanations of Deep Neural Network Models: A
  Survey
On the Robustness of Explanations of Deep Neural Network Models: A Survey
Amlan Jyoti
Karthik Balaji Ganesh
Manoj Gayala
Nandita Lakshmi Tunuguntla
Sandesh Kamath
V. Balasubramanian
XAIFAttAAML
301
9
0
09 Nov 2022
Neural Estimation of Submodular Functions with Applications to
  Differentiable Subset Selection
Neural Estimation of Submodular Functions with Applications to Differentiable Subset SelectionNeural Information Processing Systems (NeurIPS), 2022
A. De
Soumen Chakrabarti
436
8
0
20 Oct 2022
"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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