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Visual Evaluative AI: A Hypothesis-Driven Tool with Concept-Based Explanations and Weight of Evidence

Visual Evaluative AI: A Hypothesis-Driven Tool with Concept-Based Explanations and Weight of Evidence

13 May 2024
Thao Le
Tim Miller
Ruihan Zhang
L. Sonenberg
Ronal Singh
ArXivPDFHTML

Papers citing "Visual Evaluative AI: A Hypothesis-Driven Tool with Concept-Based Explanations and Weight of Evidence"

3 / 3 papers shown
Title
Post-hoc Concept Bottleneck Models
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Y. Zou
130
182
0
31 May 2022
From Human Explanation to Model Interpretability: A Framework Based on
  Weight of Evidence
From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence
David Alvarez-Melis
Harmanpreet Kaur
Hal Daumé
Hanna M. Wallach
Jennifer Wortman Vaughan
FAtt
35
25
0
27 Apr 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 2016
1