Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals

17 September 2020

Papers citing "Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals"

44 / 44 papers shown

Title
Explaining Low Perception Model Competency with High-Competency Counterfactuals Sara Pohland Claire Tomlin DiffM AAML 46 0 0 07 Apr 2025
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas FaML 54 0 0 03 Apr 2025
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data Zengqun Zhao Ziquan Liu Yu Cao Shaogang Gong Ioannis Patras 45 0 0 07 Mar 2025
Constructing Fair Latent Space for Intersection of Fairness and Explainability Hyungjun Joo Hyeonggeun Han Sehwan Kim Sangwoo Hong Jungwoo Lee 32 0 0 23 Dec 2024
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 24 0 0 16 Oct 2024
Robust image representations with counterfactual contrastive learning Mélanie Roschewitz Fabio De Sousa Ribeiro Tian Xia G. Khara Ben Glocker OOD MedIm 43 2 0 16 Sep 2024
FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via Selective Tensor Freezing Kai Huang Wei Gao 32 2 0 24 May 2024
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges Audrey Poinsot Alessandro Leite Nicolas Chesneau Michèle Sébag Marc Schoenauer 46 3 0 08 May 2024
Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement Pushkar Shukla Dhruv Srikanth Lee Cohen Matthew A. Turk AAML 33 0 0 18 Apr 2024
Benchmarking Counterfactual Image Generation Thomas Melistas Nikos Spyrou Nefeli Gkouti Pedro Sanchez Athanasios Vlontzos Yannis Panagakis G. Papanastasiou Sotirios A. Tsaftaris EGVM CML 41 7 0 29 Mar 2024
Counterfactual contrastive learning: robust representations via causal image synthesis Mélanie Roschewitz Fabio De Sousa Ribeiro Tian Xia G. Khara Ben Glocker OOD 37 3 0 14 Mar 2024
Distributionally Generative Augmentation for Fair Facial Attribute Classification Fengda Zhang Qianpei He Kun Kuang Jiashuo Liu Long Chen Chao-Xiang Wu Jun Xiao Hanwang Zhang CVBM 35 8 0 11 Mar 2024
Counterfactual Image Editing Yushu Pan Elias Bareinboim BDL CML 30 5 0 07 Feb 2024
Natural Counterfactuals With Necessary Backtracking Guang-Yuan Hao Jiji Zhang Biwei Huang Hao Wang Kun Zhang 26 0 0 02 Feb 2024
Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Dataset William Taylor-Melanson Zahra Sadeghi Stan Matwin CML 13 5 0 21 Jan 2024
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference Md Musfiqur Rahman Murat Kocaoglu OOD 22 2 0 02 Jan 2024
Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision Nicholas Lui Bryan Chia William Berrios Candace Ross Douwe Kiela 19 2 0 25 Nov 2023
Improving Fairness using Vision-Language Driven Image Augmentation Moreno DÍncà Christos Tzelepis Ioannis Patras N. Sebe 32 12 0 02 Nov 2023
Fast Model Debias with Machine Unlearning Ruizhe Chen Jianfei Yang Huimin Xiong Jianhong Bai Tianxiang Hu Jinxiang Hao Yang Feng Joey Tianyi Zhou Jian Wu Zuo-Qiang Liu MU 16 57 0 19 Oct 2023
Deep Backtracking Counterfactuals for Causally Compliant Explanations Klaus-Rudolf Kladny Julius von Kügelgen Bernhard Schölkopf Michael Muehlebach BDL 24 4 0 11 Oct 2023
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals Kwanseok Oh Da-Woon Heo A. Mulyadi Wonsik Jung Eunsong Kang Kun Ho Lee Heung-Il Suk 24 1 0 05 Oct 2023
The role of causality in explainable artificial intelligence Gianluca Carloni Andrea Berti Sara Colantonio CML XAI 40 6 0 18 Sep 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 13 11 0 02 Jun 2023
On Counterfactual Data Augmentation Under Confounding Abbavaram Gowtham Reddy Saketh Bachu Saloni Dash Charchit Sharma Amit Sharma V. Balasubramanian CML BDL 26 0 0 29 May 2023
Measuring axiomatic soundness of counterfactual image models M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 31 25 0 02 Mar 2023
Ethical Considerations for Responsible Data Curation Jerone T. A. Andrews Dora Zhao William Thong Apostolos Modas Orestis Papakyriakopoulos Alice Xiang 17 19 0 07 Feb 2023
Counterfactual (Non-)identifiability of Learned Structural Causal Models Arash Nasr-Esfahany Emre Kıcıman 19 11 0 22 Jan 2023
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey Otávio Parraga Martin D. Móre C. M. Oliveira Nathan Gavenski L. S. Kupssinskü Adilson Medronha L. V. Moura Gabriel S. Simões Rodrigo C. Barros 34 11 0 10 Nov 2022
Counterfactual Generation Under Confounding Abbavaram Gowtham Reddy Saloni Dash Amit Sharma V. Balasubramanian CML 29 2 0 22 Oct 2022
The Counterfactual-Shapley Value: Attributing Change in System Metrics Amit Sharma Hua Li Jian Jiao 18 2 0 17 Aug 2022
Probing Classifiers are Unreliable for Concept Removal and Detection Abhinav Kumar Chenhao Tan Amit Sharma AAML 15 20 0 08 Jul 2022
Combining Counterfactuals With Shapley Values To Explain Image Models Aditya Lahiri Kamran Alipour Ehsan Adeli Babak Salimi FAtt 18 6 0 14 Jun 2022
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces Kamran Alipour Aditya Lahiri Ehsan Adeli Babak Salimi M. Pazzani CML 20 7 0 10 Jun 2022
Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity Camila Kolling Victor Araujo Adriano Veloso S. Musse 23 3 0 13 Apr 2022
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification Tian Xia Pedro Sanchez C. Qin Sotirios A. Tsaftaris OOD MedIm 24 12 0 15 Mar 2022
Robustness and Adaptation to Hidden Factors of Variation William Paul Philippe Burlina 13 0 0 03 Mar 2022
Diffusion Causal Models for Counterfactual Estimation Pedro Sanchez Sotirios A. Tsaftaris DiffM BDL 19 67 0 21 Feb 2022
Matching Learned Causal Effects of Neural Networks with Domain Priors Sai Srinivas Kancheti Abbavaram Gowtham Reddy V. Balasubramanian Amit Sharma CML 14 11 0 24 Nov 2021
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models Arvindkumar Krishnakumar Tong He Shengji Tang Judy Hoffman 13 30 0 29 Oct 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 19 71 0 26 Aug 2021
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model Kwanseok Oh Jeeseok Yoon Heung-Il Suk FAtt 24 28 0 21 Aug 2021
Adaptation and Generalization for Unknown Sensitive Factors of Variations William Paul Philippe Burlina AAML 28 0 0 28 Jul 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 24 106 0 20 Oct 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,344 0 12 Dec 2018