The Variational Fair Autoencoder

3 November 2015

Papers citing "The Variational Fair Autoencoder"

50 / 152 papers shown

Title
Fairness-aware Anomaly Detection via Fair Projection Feng Xiao Xiaoying Tang Jicong Fan 21 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 32 1 0 09 May 2025
ReLU integral probability metric and its applications Yuha Park Kunwoong Kim Insung Kong Yongdai Kim 48 0 0 26 Apr 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Zou Linjun Zhang FaML 98 4 0 13 Mar 2025
Differential Adjusted Parity for Learning Fair Representations Bucher Sahyouni Matthew Vowels Liqun Chen Simon Hadfield FaML 107 0 0 13 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 103 19 0 28 Jan 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 80 0 0 28 Jan 2025
MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search Zhaohui Wang Min Zhang Jingran Yang Bojie Shao Min Zhang 56 4 0 31 Dec 2024
Efficient Fairness-Performance Pareto Front Computation Mark Kozdoba Binyamin Perets Shie Mannor 25 0 0 26 Sep 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 53 0 0 31 Aug 2024
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning Qi Qi Quanqi Hu Qihang Lin Tianbao Yang 47 1 0 09 Jun 2024
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks Zhangkai Wu Xuhui Fan Jin Li Zhilin Zhao Hui Chen LongBing Cao 57 2 0 24 May 2024
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 32 3 0 29 Feb 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 35 5 0 25 Jan 2024
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models Yueqing Liang Lu Cheng Ali Payani Kai Shu 28 3 0 15 Nov 2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction Xianjing Liu Bo-wen Li Meike W. Vernooij E. Wolvius Gennady V. Roshchupkin Esther E. Bron MedIm 34 0 0 03 Oct 2023
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables Ruta Binkyt.e D. Gorla C. Palamidessi FaML 30 1 0 06 Jul 2023
Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity Camila Kolling Till Speicher Vedant Nanda Mariya Toneva Krishna P. Gummadi 25 1 0 30 May 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 44 0 0 24 Mar 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang Xiaotian Han Hongye Jin Guanchu Wang Rui Chen Na Zou Xia Hu 12 13 0 06 Mar 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 26 3 0 29 Jan 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 30 2 0 25 Jan 2023
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting P. Sattigeri S. Ghosh Inkit Padhi Pierre Dognin Kush R. Varshney FaML 27 28 0 13 Dec 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 48 5 0 18 Nov 2022
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 20 7 0 15 Nov 2022
A Survey on Preserving Fairness Guarantees in Changing Environments Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto FaML 29 3 0 14 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 23 1 0 02 Nov 2022
A robust estimator of mutual information for deep learning interpretability Davide Piras H. Peiris A. Pontzen Luisa Lucie-Smith Ningyuan Guo Brian D. Nord SSL DRL 32 15 0 31 Oct 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 36 10 0 20 Sep 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 46 1 0 15 Sep 2022
Weakly Supervised Invariant Representation Learning Via Disentangling Known and Unknown Nuisance Factors Jiageng Zhu Hanchen Xie Wael AbdAlmageed 32 1 0 15 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 40 7 0 19 Aug 2022
Invariant Representations with Stochastically Quantized Neural Networks Mattia Cerrato Marius Köppel Roberto Esposito Stefan Kramer MQ 34 4 0 04 Aug 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-wen Li OOD 56 15 0 31 May 2022
Prototype Based Classification from Hierarchy to Fairness Mycal Tucker J. Shah FaML 19 6 0 27 May 2022
Leveraging Relational Information for Learning Weakly Disentangled Representations Andrea Valenti D. Bacciu CoGe DRL 35 5 0 20 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 32 11 0 10 May 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi 37 15 0 23 Mar 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen R. Pfohl Marzyeh Ghassemi 23 65 0 23 Mar 2022
Robustness and Adaptation to Hidden Factors of Variation William Paul Philippe Burlina 29 0 0 03 Mar 2022
Selection, Ignorability and Challenges With Causal Fairness Jake Fawkes R. Evans Dino Sejdinovic 86 19 0 28 Feb 2022
Moment Matching Deep Contrastive Latent Variable Models Ethan Weinberger Nicasia Beebe-Wang Su-In Lee 31 16 0 21 Feb 2022
Bayes-Optimal Classifiers under Group Fairness Xianli Zeng Yan Sun Guang Cheng FaML 21 23 0 20 Feb 2022
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations Cemre Karakas Alara Dirik Eylül Yalçınkaya Pinar Yanardag 25 28 0 13 Feb 2022
Fair Interpretable Representation Learning with Correction Vectors Mattia Cerrato A. Coronel Marius Köppel A. Segner Roberto Esposito Stefan Kramer FaML 14 5 0 07 Feb 2022
Fighting Money Laundering with Statistics and Machine Learning R. Jensen Alexandros Iosifidis 36 13 0 11 Jan 2022