Counterfactual Visual Explanations

16 April 2019

Ziyan Wu

Devi Parikh

Papers citing "Counterfactual Visual Explanations"

50 / 158 papers shown

Title
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 FAtt HAI 64 1 0 14 Apr 2025
Attention IoU: Examining Biases in CelebA using Attention Maps Aaron Serianni Tyler Zhu Olga Russakovsky V. V. Ramaswamy 50 0 0 25 Mar 2025
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach Antoine Ledent Peng Liu FAtt 116 0 0 20 Feb 2025
SegSub: Evaluating Robustness to Knowledge Conflicts and Hallucinations in Vision-Language Models Peter Carragher Nikitha Rao Abhinand Jha R Raghav Kathleen M. Carley VLM 61 0 0 19 Feb 2025
Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khan Syed Ali Tariq Tehseen Zia Muhammad Ahsan David Windridge 44 0 0 12 Jan 2025
Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers Syed Ali Tariq Tehseen Zia Mubeen Ghafoor AAML 62 7 0 12 Jan 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani Daniel Malinsky I. Shpitser CML 86 16 0 10 Jan 2025
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 89 0 0 23 Nov 2024
Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration Philipp Spitzer Joshua Holstein Katelyn Morrison Kenneth Holstein Gerhard Satzger Niklas Kühl 50 3 0 19 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Hugo Porta Emanuele Dalsasso Diego Marcos D. Tuia 100 0 0 14 Sep 2024
Interpreting Outliers in Time Series Data through Decoding Autoencoder Patrick Knab Sascha Marton Christian Bartelt Robert Fuder 29 1 0 03 Sep 2024
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study Zohaib Salahuddin A. Ibrahim Sheng Kuang Y. Widaatalla R. Miclea ... Tom Marcelissen Patricia Zondervan Auke Jager Philippe Lambin Henry C. Woodruff MedIm 37 0 0 07 Aug 2024
On the Evaluation Consistency of Attribution-based Explanations Jiarui Duan Haoling Li Haofei Zhang Hao Jiang Mengqi Xue Li Sun Mingli Song Mingli Song XAI 51 1 0 28 Jul 2024
Integrated feature analysis for deep learning interpretation and class activation maps Yanli Li Tahereh Hassanzadeh D. Shamonin Monique Reijnierse A. H. V. D. H. Mil B. Stoel 48 0 0 01 Jul 2024
Enhancing predictive imaging biomarker discovery through treatment effect analysis Shuhan Xiao Lukas Klein Jens Petersen Philipp Vollmuth Paul F. Jaeger Klaus H. Maier-Hein 37 0 0 04 Jun 2024
Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifold Yinzhu Jin Matthew B. Dwyer P. T. Fletcher MedIm 23 0 0 18 Apr 2024
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 60 5 0 18 Apr 2024
CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests Susanne Dandl Kristin Blesch Timo Freiesleben Gunnar Konig Jan Kapar B. Bischl Marvin N. Wright AAML 37 5 0 04 Apr 2024
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion Nishtha Madaan Srikanta J. Bedathur DiffM 43 0 0 21 Dec 2023
ALMANACS: A Simulatability Benchmark for Language Model Explainability Edmund Mills Shiye Su Stuart J. Russell Scott Emmons 56 7 0 20 Dec 2023
Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning Jiajun Cui Minghe Yu Bo Jiang Aimin Zhou Jianyong Wang Wei Zhang 47 3 0 01 Dec 2023
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 34 1 0 30 Nov 2023
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report] Hamed Ayoobi Nico Potyka Francesca Toni 46 3 0 26 Nov 2023
Advancing Post Hoc Case Based Explanation with Feature Highlighting Eoin M. Kenny Eoin Delaney Markt. Keane 36 5 0 06 Nov 2023
Overview of Class Activation Maps for Visualization Explainability Anh Pham Thi Minh HAI FAtt 46 5 0 25 Sep 2023
Impact of architecture on robustness and interpretability of multispectral deep neural networks Charles Godfrey Elise Bishoff Myles Mckay E. Byler 39 0 0 21 Sep 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse Simone Schaub-Meyer Stefan Roth AAML 39 33 0 11 Aug 2023
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations Yanda Chen Ruiqi Zhong Narutatsu Ri Chen Zhao He He Jacob Steinhardt Zhou Yu Kathleen McKeown LRM 36 49 0 17 Jul 2023
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations Vinitra Swamy Jibril Frej Tanja Käser 41 14 0 01 Jul 2023
Probabilistic Concept Bottleneck Models Eunji Kim Dahuin Jung Sangha Park Siwon Kim Sung-Hoon Yoon 14 65 0 02 Jun 2023
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images Viraj Prabhu Sriram Yenamandra Prithvijit Chattopadhyay Judy Hoffman 33 38 0 30 May 2023
Choose your Data Wisely: A Framework for Semantic Counterfactuals Edmund Dervakos Konstantinos Thomas Giorgos Filandrianos Giorgos Stamou AAML 35 6 0 28 May 2023
ML-Based Teaching Systems: A Conceptual Framework Philipp Spitzer Niklas Kühl Daniel Heinz G. Satzger 35 6 0 12 May 2023
Logic for Explainable AI Adnan Darwiche 43 8 0 09 May 2023
Learning with Explanation Constraints Rattana Pukdee Dylan Sam J. Zico Kolter Maria-Florina Balcan Pradeep Ravikumar FAtt 37 6 0 25 Mar 2023
Towards Learning and Explaining Indirect Causal Effects in Neural Networks Abbaavaram Gowtham Reddy Saketh Bachu Harsh Nilesh Pathak Ben Godfrey V. Balasubramanian V. Varshaneya Satya Narayanan Kar CML 36 0 0 24 Mar 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 46 27 0 17 Mar 2023
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
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 37 28 0 14 Mar 2023
Explaining Model Confidence Using Counterfactuals Thao Le Tim Miller Ronal Singh L. Sonenberg 21 4 0 10 Mar 2023
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse Zijie J. Wang J. W. Vaughan R. Caruana Duen Horng Chau HAI 41 21 0 27 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 47 3 0 07 Feb 2023
Neural Insights for Digital Marketing Content Design F. Kong Yuan Li Houssam Nassif Tanner Fiez Ricardo Henao Shreya Chakrabarti 3DV 32 10 0 02 Feb 2023
Interpreting Robustness Proofs of Deep Neural Networks Debangshu Banerjee Avaljot Singh Gagandeep Singh AAML 29 5 0 31 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 57 11 0 29 Jan 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts Mikolaj Sacha Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski VLM 43 29 0 28 Jan 2023
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI Juntao Tan Yongfeng Zhang 33 6 0 27 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 52 2 0 03 Jan 2023
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 40 16 0 16 Dec 2022
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