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UFO: A unified method for controlling Understandability and Faithfulness
  Objectives in concept-based explanations for CNNs

UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs

27 March 2023
V. V. Ramaswamy
Sunnie S. Y. Kim
Ruth C. Fong
Olga Russakovsky
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Papers citing "UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs"

3 / 3 papers shown
Title
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
166
181
0
03 Feb 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations
HIVE: Evaluating the Human Interpretability of Visual Explanations
Sunnie S. Y. Kim
Nicole Meister
V. V. Ramaswamy
Ruth C. Fong
Olga Russakovsky
58
112
0
06 Dec 2021
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
246
1,817
0
18 Aug 2016
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