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On Generating Plausible Counterfactual and Semi-Factual Explanations for
  Deep Learning

On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning

10 September 2020
Eoin M. Kenny
Mark T. Keane
ArXivPDFHTML

Papers citing "On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning"

50 / 53 papers shown
Title
Model-Free Counterfactual Subset Selection at Scale
Model-Free Counterfactual Subset Selection at Scale
Minh Nguyen
Viet Hung Doan
Anh Tuan Nguyen
Jun Jo
Quoc Viet Hung Nguyen
LRM
54
0
0
12 Feb 2025
Faithful Counterfactual Visual Explanations (FCVE)
Faithful Counterfactual Visual Explanations (FCVE)
Bismillah Khan
Syed Ali Tariq
Tehseen Zia
Muhammad Ahsan
David Windridge
44
0
0
12 Jan 2025
Interpreting Language Reward Models via Contrastive Explanations
Interpreting Language Reward Models via Contrastive Explanations
Junqi Jiang
Tom Bewley
Saumitra Mishra
Freddy Lecue
Manuela Veloso
76
0
0
25 Nov 2024
A Comparative Analysis of Counterfactual Explanation Methods for Text
  Classifiers
A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers
Stephen McAleese
Mark Keane
36
0
0
04 Nov 2024
Semifactual Explanations for Reinforcement Learning
Semifactual Explanations for Reinforcement Learning
Jasmina Gajcin
Jovan Jeromela
Ivana Dusparic
OffRL
38
0
0
09 Sep 2024
NoMatterXAI: Generating "No Matter What" Alterfactual Examples for
  Explaining Black-Box Text Classification Models
NoMatterXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models
Tuc Nguyen
James Michels
Hua Shen
Thai Le
19
0
0
20 Aug 2024
Case-Enhanced Vision Transformer: Improving Explanations of Image
  Similarity with a ViT-based Similarity Metric
Case-Enhanced Vision Transformer: Improving Explanations of Image Similarity with a ViT-based Similarity Metric
Ziwei Zhao
David B. Leake
Xiaomeng Ye
David J. Crandall
ViT
18
1
0
24 Jul 2024
Generally-Occurring Model Change for Robust Counterfactual Explanations
Generally-Occurring Model Change for Robust Counterfactual Explanations
Ao Xu
Tieru Wu
AAML
31
2
0
16 Jul 2024
Enhancing Counterfactual Image Generation Using Mahalanobis Distance
  with Distribution Preferences in Feature Space
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space
Yukai Zhang
Ao Xu
Zihao Li
Tieru Wu
42
1
0
31 May 2024
Relevant Irrelevance: Generating Alterfactual Explanations for Image
  Classifiers
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers
Silvan Mertes
Tobias Huber
Christina Karle
Katharina Weitz
Ruben Schlagowski
Cristina Conati
Elisabeth André
23
0
0
08 May 2024
Counterfactual and Semifactual Explanations in Abstract Argumentation:
  Formal Foundations, Complexity and Computation
Counterfactual and Semifactual Explanations in Abstract Argumentation: Formal Foundations, Complexity and Computation
Gianvincenzo Alfano
S. Greco
Francesco Parisi
I. Trubitsyna
27
1
0
07 May 2024
COIN: Counterfactual inpainting for weakly supervised semantic
  segmentation for medical images
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images
Dmytro Shvetsov
Joonas Ariva
M. Domnich
Raul Vicente
Dmytro Fishman
MedIm
32
0
0
19 Apr 2024
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found
  Using Counterfactuals As Guides?
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides?
Saugat Aryal
Mark T. Keane
34
4
0
01 Mar 2024
Even-if Explanations: Formal Foundations, Priorities and Complexity
Even-if Explanations: Formal Foundations, Priorities and Complexity
Gianvincenzo Alfano
S. Greco
Domenico Mandaglio
Francesco Parisi
Reza Shahbazian
I. Trubitsyna
26
2
0
17 Jan 2024
Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for
  Generalized Relation Discovery
Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery
Jiaxin Wang
Lingling Zhang
Jun Liu
Tianlin Guo
Wenjun Wu
39
1
0
12 Jan 2024
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Chong Wang
Yuanhong Chen
Fengbei Liu
Yuyuan Liu
Davis J. McCarthy
Helen Frazer
Gustavo Carneiro
29
1
0
30 Nov 2023
The Utility of "Even if..." Semifactual Explanation to Optimise Positive
  Outcomes
The Utility of "Even if..." Semifactual Explanation to Optimise Positive Outcomes
Eoin M. Kenny
Weipeng Huang
29
9
0
29 Oct 2023
Natural Example-Based Explainability: a Survey
Natural Example-Based Explainability: a Survey
Antonin Poché
Lucas Hervier
M. Bakkay
XAI
31
12
0
05 Sep 2023
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis
  Model Using Generated Cases
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases
Haiwen Du
Zheng Ju
Yu An
Honghui Du
Dongjie Zhu
Zhaoshuo Tian
Aonghus Lawlor
Ruihai Dong
18
0
0
02 Aug 2023
On the Connection between Game-Theoretic Feature Attributions and
  Counterfactual Explanations
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
Emanuele Albini
Shubham Sharma
Saumitra Mishra
Danial Dervovic
Daniele Magazzeni
FAtt
46
2
0
13 Jul 2023
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations
Susanne Dandl
Giuseppe Casalicchio
Bernd Bischl
Ludwig Bothmann
29
8
0
04 May 2023
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits
  and Risks
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks
Yilun Zhou
40
0
0
17 Mar 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case,
  Algorithm and User Study for Group-Counterfactuals
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals
Greta Warren
Markt. Keane
Christophe Guéret
Eoin Delaney
26
13
0
16 Mar 2023
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse
Zijie J. Wang
J. W. Vaughan
R. Caruana
Duen Horng Chau
HAI
31
21
0
27 Feb 2023
Towards Meaningful Anomaly Detection: The Effect of Counterfactual
  Explanations on the Investigation of Anomalies in Multivariate Time Series
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series
Max Schemmer
Joshua Holstein
Niklas Bauer
Niklas Kühl
G. Satzger
36
2
0
07 Feb 2023
Even if Explanations: Prior Work, Desiderata & Benchmarks for
  Semi-Factual XAI
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI
Saugat Aryal
Markt. Keane
28
21
0
27 Jan 2023
Learning Support and Trivial Prototypes for Interpretable Image
  Classification
Learning Support and Trivial Prototypes for Interpretable Image Classification
Chong Wang
Yuyuan Liu
Yuanhong Chen
Fengbei Liu
Yu Tian
Davis J. McCarthy
Helen Frazer
G. Carneiro
36
24
0
08 Jan 2023
Mapping Knowledge Representations to Concepts: A Review and New
  Perspectives
Mapping Knowledge Representations to Concepts: A Review and New Perspectives
Lars Holmberg
P. Davidsson
Per Linde
34
1
0
31 Dec 2022
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
Counterfactual Explanations for Support Vector Machine Models
Counterfactual Explanations for Support Vector Machine Models
S. Salazar
Samuel Denton
Ansaf Salleb-Aouissi
AAML
FAtt
20
2
0
14 Dec 2022
This changes to that : Combining causal and non-causal explanations to
  generate disease progression in capsule endoscopy
This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy
Anuja Vats
A. Mohammed
Marius Pedersen
Nirmalie Wiratunga
MedIm
29
9
0
05 Dec 2022
Identifying Spurious Correlations and Correcting them with an
  Explanation-based Learning
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning
Misgina Tsighe Hagos
Kathleen M. Curran
Brian Mac Namee
26
10
0
15 Nov 2022
Decomposing Counterfactual Explanations for Consequential Decision
  Making
Decomposing Counterfactual Explanations for Consequential Decision Making
Martin Pawelczyk
Lea Tiyavorabun
Gjergji Kasneci
CML
26
1
0
03 Nov 2022
Explaining Image Classification with Visual Debates
Explaining Image Classification with Visual Debates
Avinash Kori
Ben Glocker
Francesca Toni
32
1
0
17 Oct 2022
Formalising the Robustness of Counterfactual Explanations for Neural
  Networks
Formalising the Robustness of Counterfactual Explanations for Neural Networks
Junqi Jiang
Francesco Leofante
Antonio Rago
Francesca Toni
AAML
27
27
0
31 Aug 2022
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining
  AI Systems
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems
Silvan Mertes
Christina Karle
Tobias Huber
Katharina Weitz
Ruben Schlagowski
Elisabeth André
21
12
0
19 Jul 2022
"Even if ..." -- Diverse Semifactual Explanations of Reject
"Even if ..." -- Diverse Semifactual Explanations of Reject
André Artelt
Barbara Hammer
33
12
0
05 Jul 2022
Features of Explainability: How users understand counterfactual and
  causal explanations for categorical and continuous features in XAI
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI
Greta Warren
Mark T. Keane
R. Byrne
CML
27
22
0
21 Apr 2022
Diffusion Models for Counterfactual Explanations
Diffusion Models for Counterfactual Explanations
Guillaume Jeanneret
Loïc Simon
F. Jurie
DiffM
35
55
0
29 Mar 2022
Semantic Motion Correction Via Iterative Nonlinear Optimization and
  Animation
Semantic Motion Correction Via Iterative Nonlinear Optimization and Animation
Sairamvinay Vijayaraghavan
Jinxiao Song
Wan-Jhen Lin
Michael J. Livanos
22
0
0
28 Mar 2022
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
Jinghui Lu
Linyi Yang
Brian Mac Namee
Yue Zhang
27
39
0
24 Mar 2022
DeDUCE: Generating Counterfactual Explanations Efficiently
DeDUCE: Generating Counterfactual Explanations Efficiently
Benedikt Höltgen
Lisa Schut
J. Brauner
Y. Gal
CML
37
6
0
29 Nov 2021
CARLA: A Python Library to Benchmark Algorithmic Recourse and
  Counterfactual Explanation Algorithms
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
Martin Pawelczyk
Sascha Bielawski
J. V. D. Heuvel
Tobias Richter
Gjergji Kasneci
CML
21
105
0
02 Aug 2021
Uncertainty Estimation and Out-of-Distribution Detection for
  Counterfactual Explanations: Pitfalls and Solutions
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions
Eoin Delaney
Derek Greene
Mark T. Keane
17
24
0
20 Jul 2021
Applying the Case Difference Heuristic to Learn Adaptations from Deep
  Network Features
Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features
Xiaomeng Ye
Ziwei Zhao
David B. Leake
Xizi Wang
David J. Crandall
11
5
0
15 Jul 2021
Exploring the Efficacy of Automatically Generated Counterfactuals for
  Sentiment Analysis
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
Linyi Yang
Jiazheng Li
Padraig Cunningham
Yue Zhang
Barry Smyth
Ruihai Dong
19
47
0
29 Jun 2021
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based
  Reasoning Pairings for Explanation and Data Augmentation
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation
Markt. Keane
Eoin M. Kenny
M. Temraz
Derek Greene
Barry Smyth
19
5
0
29 Apr 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to
  Rectify in the Evaluation of Counterfactual XAI Techniques
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
Mark T. Keane
Eoin M. Kenny
Eoin Delaney
Barry Smyth
CML
27
146
0
26 Feb 2021
Benchmarking and Survey of Explanation Methods for Black Box Models
Benchmarking and Survey of Explanation Methods for Black Box Models
F. Bodria
F. Giannotti
Riccardo Guidotti
Francesca Naretto
D. Pedreschi
S. Rinzivillo
XAI
33
220
0
25 Feb 2021
Generating Plausible Counterfactual Explanations for Deep Transformers
  in Financial Text Classification
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
Linyi Yang
Eoin M. Kenny
T. L. J. Ng
Yi Yang
Barry Smyth
Ruihai Dong
15
70
0
23 Oct 2020
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