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DeDUCE: Generating Counterfactual Explanations Efficiently

DeDUCE: Generating Counterfactual Explanations Efficiently

29 November 2021
Benedikt Höltgen
Lisa Schut
J. Brauner
Y. Gal
    CML
ArXivPDFHTML

Papers citing "DeDUCE: Generating Counterfactual Explanations Efficiently"

4 / 4 papers shown
Title
Counterfactual Explanations for Misclassified Images: How Human and
  Machine Explanations Differ
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ
Eoin Delaney
A. Pakrashi
Derek Greene
Markt. Keane
35
15
0
16 Dec 2022
Clarity: an improved gradient method for producing quality visual
  counterfactual explanations
Clarity: an improved gradient method for producing quality visual counterfactual explanations
Claire Theobald
Frédéric Pennerath
Brieuc Conan-Guez
Miguel Couceiro
Amedeo Napoli
BDL
41
0
0
22 Nov 2022
Representing smooth functions as compositions of near-identity functions
  with implications for deep network optimization
Representing smooth functions as compositions of near-identity functions with implications for deep network optimization
Peter L. Bartlett
S. Evans
Philip M. Long
73
31
0
13 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
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