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ELUDE: Generating interpretable explanations via a decomposition into
  labelled and unlabelled features
v1v2 (latest)

ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features

15 June 2022
V. V. Ramaswamy
Sunnie S. Y. Kim
Nicole Meister
Ruth C. Fong
Olga Russakovsky
    FAtt
ArXiv (abs)PDFHTML

Papers citing "ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features"

4 / 4 papers shown
Title
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Indu Panigrahi
Sunnie S. Y. Kim
Amna Liaqat
Rohan Jinturkar
Olga Russakovsky
Ruth C. Fong
Parastoo Abtahi
FAttHAI
249
1
0
14 Apr 2025
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
V. V. Ramaswamy
Sunnie S. Y. Kim
Ruth C. Fong
Olga Russakovsky
58
0
0
27 Mar 2023
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
161
119
0
06 Dec 2021
"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
1.3K
17,178
0
16 Feb 2016
1