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Constructing Fair Latent Space for Intersection of Fairness and Explainability

23 December 2024

Papers citing "Constructing Fair Latent Space for Intersection of Fairness and Explainability"

34 / 34 papers shown

Title
FairRAG: Fair Human Generation via Fair Retrieval Augmentation Robik Shrestha Yang Zou Qiuyu Chen Zhiheng Li Yusheng Xie Siqi Deng VLM 105 23 0 29 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 71 8 0 11 Mar 2024
FACET: Fairness in Computer Vision Evaluation Benchmark Laura Gustafson Chloe Rolland Nikhila Ravi Quentin Duval Aaron B. Adcock Cheng-Yang Fu Melissa Hall Candace Ross VLM EGVM 127 40 0 31 Aug 2023
On the Robustness of Normalizing Flows for Inverse Problems in Imaging Seongmin Hong I. Park S. Chun 114 7 0 08 Dec 2022
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes Zhaowei Zhu Yuanshun Yao Jiankai Sun Hanguang Li Yang Liu 101 24 0 06 Oct 2022
Fair Contrastive Learning for Facial Attribute Classification Sungho Park Jewook Lee Pilhyeon Lee Sunhee Hwang D. Kim H. Byun FaML 71 92 0 30 Mar 2022
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models Jaemin Cho Abhaysinh Zala Joey Tianyi Zhou ViT 258 193 0 08 Feb 2022
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 131 434 0 30 Nov 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 396 2,379 0 04 Mar 2021
Fair Attribute Classification through Latent Space De-biasing V. V. Ramaswamy Sunnie S. Y. Kim Olga Russakovsky 103 165 0 02 Dec 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 335 452 0 15 Oct 2020
Explainability for fair machine learning T. Begley Tobias Schwedes Christopher Frye Ilya Feige FaML FedML 101 47 0 14 Oct 2020
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals Saloni Dash V. Balasubramanian Amit Sharma CML 79 70 0 17 Sep 2020
Null-sampling for Interpretable and Fair Representations T. Kehrenberg Myles Bartlett Oliver Thomas Novi Quadrianto OOD 41 29 0 12 Aug 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks Jens Behrmann Paul Vicol Kuan-Chieh Wang Roger C. Grosse J. Jacobsen 77 94 0 16 Jun 2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data Polina Kirichenko Pavel Izmailov A. Wilson OODD 142 278 0 15 Jun 2020
Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation Jungseock Joo Kimmo Karkkainen 71 48 0 21 May 2020
A Disentangling Invertible Interpretation Network for Explaining Latent Representations Patrick Esser Robin Rombach Bjorn Ommer 67 88 0 27 Apr 2020
Fairness by Learning Orthogonal Disentangled Representations Mhd Hasan Sarhan Nassir Navab Abouzar Eslami Shadi Albarqouni FaML OOD CML 134 97 0 12 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 470 19,003 0 13 Feb 2020
A Mutual Information Maximization Perspective of Language Representation Learning Lingpeng Kong Cyprien de Masson dÁutume Wang Ling Lei Yu Zihang Dai Dani Yogatama SSL 308 167 0 18 Oct 2019
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias Emily L. Denton B. Hutchinson Margaret Mitchell Timnit Gebru Andrew Zaldivar CVBM 97 129 0 14 Jun 2019
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 140 816 0 16 May 2019
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 565 10,402 0 10 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 374 3,155 0 09 Jul 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 102 445 0 23 Feb 2018
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 99 341 0 22 Feb 2018
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 250 7,398 0 27 Oct 2017
Age Progression/Regression by Conditional Adversarial Autoencoder Zhifei Zhang Yang Song Hairong Qi GAN CVBM 97 1,126 0 27 Feb 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 368 2,133 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 238 4,347 0 07 Oct 2016
A Deeper Look at Dataset Bias Tatiana Tommasi Novi Patricia Barbara Caputo Tinne Tuytelaars 108 329 0 06 May 2015
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 296 1,600 0 09 Mar 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 285 8,455 0 28 Nov 2014