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Embedding Deep Networks into Visual Explanations
v1v2v3 (latest)

Embedding Deep Networks into Visual Explanations

15 September 2017
Chen Ma
Saeed Khorram
Fuxin Li
ArXiv (abs)PDFHTML

Papers citing "Embedding Deep Networks into Visual Explanations"

13 / 13 papers shown
Title
When concept-based XAI is imprecise: Do people distinguish between generalisations and misrepresentations?
When concept-based XAI is imprecise: Do people distinguish between generalisations and misrepresentations?
Romy Müller
64
1
0
22 Jun 2025
Explainable Search and Discovery of Visual Cultural Heritage Collections
  with Multimodal Large Language Models
Explainable Search and Discovery of Visual Cultural Heritage Collections with Multimodal Large Language ModelsWorkshop on Computational Humanities Research (CHR), 2024
T. Arnold
L. Tilton
221
3
0
07 Nov 2024
How explainable AI affects human performance: A systematic review of the
  behavioural consequences of saliency maps
How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency mapsInternational journal of human computer interactions (IJHCI), 2024
Romy Müller
HAI
172
12
0
03 Apr 2024
Using Logic Programming and Kernel-Grouping for Improving
  Interpretability of Convolutional Neural Networks
Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks
Parth Padalkar
Gopal Gupta
132
3
0
19 Oct 2023
Exploring Resiliency to Natural Image Corruptions in Deep Learning using
  Design Diversity
Exploring Resiliency to Natural Image Corruptions in Deep Learning using Design Diversity
Rafael Rosales
Pablo Munoz
Michael Paulitsch
128
2
0
15 Mar 2023
NeSyFOLD: Neurosymbolic Framework for Interpretable Image Classification
NeSyFOLD: Neurosymbolic Framework for Interpretable Image Classification
Parth Padalkar
Huaduo Wang
Gopal Gupta
136
2
0
30 Jan 2023
Automatic Crater Shape Retrieval using Unsupervised and Semi-Supervised
  Systems
Automatic Crater Shape Retrieval using Unsupervised and Semi-Supervised SystemsIcarus (New York, N.Y. 1962) (Icarus), 2022
Atal Tewari
V. Jain
Nitin Khanna
65
11
0
03 Nov 2022
A Survey of Computer Vision Technologies In Urban and
  Controlled-environment Agriculture
A Survey of Computer Vision Technologies In Urban and Controlled-environment AgricultureACM Computing Surveys (ACM CSUR), 2022
Jiayun Luo
Boyang Albert Li
Cyril Leung
278
21
0
20 Oct 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence
Causality-Inspired Taxonomy for Explainable Artificial Intelligence
Pedro C. Neto
Tiago B. Gonccalves
João Ribeiro Pinto
W. Silva
Ana F. Sequeira
Arun Ross
Jaime S. Cardoso
XAI
252
14
0
19 Aug 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic
  Review on Evaluating Explainable AI
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AIACM Computing Surveys (ACM CSUR), 2022
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELMXAI
479
541
0
20 Jan 2022
From Heatmaps to Structural Explanations of Image Classifiers
From Heatmaps to Structural Explanations of Image Classifiers
Li Fuxin
Chen Ma
Saeed Khorram
Vivswan Shitole
Prasad Tadepalli
Minsuk Kahng
Alan Fern
XAIFAtt
111
6
0
13 Sep 2021
Counterfactual Visual Explanations
Counterfactual Visual Explanations
Yash Goyal
Ziyan Wu
Jan Ernst
Dhruv Batra
Devi Parikh
Stefan Lee
CML
271
548
0
16 Apr 2019
Interactive Naming for Explaining Deep Neural Networks: A Formative
  Study
Interactive Naming for Explaining Deep Neural Networks: A Formative Study
M. Hamidi-Haines
Chen Ma
Alan Fern
Fuxin Li
Prasad Tadepalli
FAttHAI
129
11
0
18 Dec 2018
1