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Accurate and Robust Feature Importance Estimation under Distribution
  Shifts

Accurate and Robust Feature Importance Estimation under Distribution Shifts

30 September 2020
Jayaraman J. Thiagarajan
V. Narayanaswamy
Rushil Anirudh
P. Bremer
A. Spanias
    OOD
ArXivPDFHTML

Papers citing "Accurate and Robust Feature Importance Estimation under Distribution Shifts"

4 / 4 papers shown
Title
Designing Counterfactual Generators using Deep Model Inversion
Designing Counterfactual Generators using Deep Model Inversion
Jayaraman J. Thiagarajan
V. Narayanaswamy
Deepta Rajan
J. Liang
Akshay S. Chaudhari
A. Spanias
DiffM
20
22
0
29 Sep 2021
Using Deep Image Priors to Generate Counterfactual Explanations
Using Deep Image Priors to Generate Counterfactual Explanations
V. Narayanaswamy
Jayaraman J. Thiagarajan
A. Spanias
18
4
0
22 Oct 2020
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis
Rushil Anirudh
Jayaraman J. Thiagarajan
R. Sridhar
T. Bremer
FAtt
AAML
23
12
0
15 Nov 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1