Flexibly Fair Representation Learning by Disentanglement

6 June 2019

Papers citing "Flexibly Fair Representation Learning by Disentanglement"

50 / 86 papers shown

Title
Fairness-aware Anomaly Detection via Fair Projection Feng Xiao Xiaoying Tang Jicong Fan 37 0 0 16 May 2025
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 34 1 0 09 May 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers Huan Tian Guangsheng Zhang Bo Liu Tianqing Zhu Ming Ding Wanlei Zhou 58 0 0 08 Mar 2025
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion Abdullah Alchihabi Yuhong Guo DiffM 30 0 0 03 Jan 2025
Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 148 1 0 05 Oct 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement Wenjing Chang Kay Liu Philip S. Yu Jianjun Yu 73 2 0 03 Jun 2024
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks R. Ramachandranpillai Md Fahim Sikder David Bergstrom Fredrik Heintz SyDa 38 6 0 21 Apr 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 41 8 0 26 Mar 2024
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images Hansa Srinivasan Candice Schumann Aradhana Sinha David Madras Gbolahan O. Olanubi Alex Beutel Susanna Ricco Jilin Chen 42 5 0 25 Jan 2024
Towards a Unified Framework of Contrastive Learning for Disentangled Representations Stefan Matthes Zhiwei Han Hao Shen 42 4 0 08 Nov 2023
Towards Fair and Calibrated Models Anand Brahmbhatt Vipul Rathore Mausam Parag Singla FaML 21 2 0 16 Oct 2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction Xianjing Liu Bo Li Meike W. Vernooij E. Wolvius Gennady V. Roshchupkin Esther E. Bron MedIm 34 0 0 03 Oct 2023
Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity Camila Kolling Till Speicher Vedant Nanda Mariya Toneva Krishna P. Gummadi 30 1 0 30 May 2023
Racial Bias within Face Recognition: A Survey Seyma Yucer Furkan Tektas Noura Al Moubayed T. Breckon FaML 38 10 0 01 May 2023
To be Robust and to be Fair: Aligning Fairness with Robustness Junyi Chai Xiaoqian Wang 59 2 0 31 Mar 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 30 6 0 15 Mar 2023
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification Tianci Liu Haoyu Wang Yaqing Wang Xiaoqian Wang Lu Su Jing Gao 43 6 0 19 Feb 2023
ContraFeat: Contrasting Deep Features for Semantic Discovery Xinqi Zhu Chang Xu Dacheng Tao DRL 31 2 0 14 Dec 2022
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 22 7 0 15 Nov 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables Xiaoqing Ellen Tan Zhengling Qi C. Seymour Lu Tang OffRL 26 8 0 12 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match Myles Bartlett Sara Romiti V. Sharmanska Novi Quadrianto 47 3 0 07 Nov 2022
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning João Machado de Freitas Bernhard C. Geiger 32 3 0 02 Nov 2022
Fair Visual Recognition via Intervention with Proxy Features Yi Zhang Jitao Sang Junyan Wang 25 1 0 02 Nov 2022
A Differentiable Distance Approximation for Fairer Image Classification Nicholas Rosa Tom Drummond Mehrtash Harandi 26 0 0 09 Oct 2022
SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping Jiageng Zhu Hanchen Xie Wael AbdAlmageed SSL CoGe DRL 35 4 0 21 Sep 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 50 1 0 15 Sep 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 26 11 0 15 Sep 2022
Fair mapping Sébastien Gambs Rosin Claude Ngueveu 42 0 0 01 Sep 2022
Disentangled Representation with Causal Constraints for Counterfactual Fairness Ziqi Xu Jixue Liu Debo Cheng Jiuyong Li Lin Liu Ke Wang FaML OOD CML 50 7 0 19 Aug 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 65 11 0 04 Jul 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 24 31 0 26 Jun 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition Mintong Kang Linyi Li Maurice Weber Yang Liu Ce Zhang Bo Li OOD 61 15 0 31 May 2022
A Survey on Fairness for Machine Learning on Graphs Charlotte Laclau C. Largeron Manvi Choudhary FaML 15 23 0 11 May 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making Miriam Rateike Ayan Majumdar Olga Mineeva Krishna P. Gummadi Isabel Valera OffRL 37 11 0 10 May 2022
SoFaiR: Single Shot Fair Representation Learning Xavier Gitiaux Huzefa Rangwala 34 4 0 26 Apr 2022
Fair Contrastive Learning for Facial Attribute Classification Sungho Park Jewook Lee Pilhyeon Lee Sunhee Hwang D. Kim H. Byun FaML 39 88 0 30 Mar 2022
Attainability and Optimality: The Equalized Odds Fairness Revisited Zeyu Tang Kun Zhang FaML 21 11 0 24 Feb 2022
Bayes-Optimal Classifiers under Group Fairness Xianli Zeng Yan Sun Guang Cheng FaML 21 23 0 20 Feb 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency Kunwoong Kim Ilsang Ohn Sara Kim Yongdai Kim 35 4 0 07 Feb 2022
Learning fair representation with a parametric integral probability metric Dongha Kim Kunwoong Kim Insung Kong Ilsang Ohn Yongdai Kim FaML 25 16 0 07 Feb 2022
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement Xiaoting Shao Karl Stelzner Kristian Kersting CML DRL 34 3 0 01 Feb 2022
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection M. J. Horry Subrata Chakraborty B. Pradhan M. Paul Jing Zhu H. Loh P. Barua Usha R. Acharya AI4CE 43 7 0 24 Jan 2022
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 39 7 0 29 Dec 2021
On Causally Disentangled Representations Abbavaram Gowtham Reddy Benin Godfrey L V. Balasubramanian OOD CML 39 21 0 10 Dec 2021
Latent Space Smoothing for Individually Fair Representations Momchil Peychev Anian Ruoss Mislav Balunović Maximilian Baader Martin Vechev FaML 38 19 0 26 Nov 2021
Group-disentangled Representation Learning with Weakly-Supervised Regularization Linh-Tam Tran Amir Hosein Khasahmadi Aditya Sanghi Saeid Asgari Taghanaki DRL 39 1 0 23 Oct 2021
Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders Lisa Bonheme M. Grzes DRL 21 6 0 26 Sep 2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models Yunhan Zheng Shenhao Wang Jinhuan Zhao HAI 26 27 0 25 Sep 2021
Adversarial Representation Learning With Closed-Form Solvers Bashir Sadeghi Lan Wang Vishnu Boddeti 39 5 0 12 Sep 2021
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks Xudong Shen Yongkang Wong Mohan S. Kankanhalli FaML 39 20 0 01 Sep 2021