Mitigating Unwanted Biases with Adversarial Learning

22 January 2018

Papers citing "Mitigating Unwanted Biases with Adversarial Learning"

50 / 253 papers shown

Title
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 28 61 0 18 Jul 2020
What shapes feature representations? Exploring datasets, architectures, and training Katherine L. Hermann Andrew Kyle Lampinen OOD 23 153 0 22 Jun 2020
Adversarial representation learning for private speech generation David Ericsson Adam Östberg Edvin Listo Zec John Martinsson Olof Mogren 27 16 0 16 Jun 2020
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances Meisam Razaviyayn Tianjian Huang Songtao Lu Maher Nouiehed Maziar Sanjabi Mingyi Hong 19 108 0 15 Jun 2020
A Variational Approach to Privacy and Fairness Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund FaML DRL 19 25 0 11 Jun 2020
Fair Bayesian Optimization Valerio Perrone Michele Donini Muhammad Bilal Zafar Robin Schmucker K. Kenthapadi Cédric Archambeau FaML 27 84 0 09 Jun 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 15 38 0 26 May 2020
Demoting Racial Bias in Hate Speech Detection Mengzhou Xia Anjalie Field Yulia Tsvetkov 35 116 0 25 May 2020
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text Lukas Lange Anastasiia Iurshina Heike Adel Jannik Strötgen 30 29 0 19 May 2020
Mitigating Gender Bias in Machine Learning Data Sets Susan Leavy G. Meaney Karen Wade Derek Greene FaML 21 36 0 14 May 2020
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning Pieter Delobelle Paul Temple Gilles Perrouin Benoit Frénay P. Heymans Bettina Berendt AAML FaML 11 14 0 14 May 2020
Ensuring Fairness under Prior Probability Shifts Arpita Biswas Suvam Mukherjee OOD 18 32 0 06 May 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection Shauli Ravfogel Yanai Elazar Hila Gonen Michael Twiton Yoav Goldberg 23 368 0 16 Apr 2020
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat Alina Arseniev-Koehler J. Foster 43 46 0 24 Mar 2020
Auditing ML Models for Individual Bias and Unfairness Songkai Xue Mikhail Yurochkin Yuekai Sun MLAU 40 23 0 11 Mar 2020
Counterfactual fairness: removing direct effects through regularization Pietro G. Di Stefano James M. Hickey V. Vasileiou FaML 17 19 0 25 Feb 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 24 78 0 24 Feb 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 23 284 0 14 Feb 2020
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities Zhongruo Wang Krishnakumar Balasubramanian Shiqian Ma Meisam Razaviyayn 19 25 0 22 Jan 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 33 388 0 21 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 33 821 0 20 Jan 2020
Leveraging Semi-Supervised Learning for Fairness using Neural Networks Vahid Noroozi S. Bahaadini Samira Sheikhi Nooshin Mojab Philip S. Yu 8 7 0 31 Dec 2019
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy Kaiyu Yang Klint Qinami Li Fei-Fei Jia Deng Olga Russakovsky 15 315 0 16 Dec 2019
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation Zeyu Wang Klint Qinami Yannis Karakozis Kyle Genova P. Nair Kenji Hata Olga Russakovsky 38 355 0 26 Nov 2019
Fair Adversarial Gradient Tree Boosting Vincent Grari Boris Ruf Sylvain Lamprier Marcin Detyniecki FaML 19 33 0 13 Nov 2019
Auditing and Achieving Intersectional Fairness in Classification Problems Giulio Morina V. Oliinyk J. Waton Ines Marusic K. Georgatzis FaML 19 39 0 04 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,111 0 22 Oct 2019
On the Global Optima of Kernelized Adversarial Representation Learning Bashir Sadeghi Runyi Yu Vishnu Boddeti AAML 67 31 0 16 Oct 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 335 4,223 0 23 Aug 2019
Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Yair Horesh N. Haas Elhanan Mishraky Yehezkel S. Resheff Shir Meir Lador FaML 14 7 0 07 Aug 2019
Wasserstein Fair Classification Ray Jiang Aldo Pacchiano T. Stepleton Heinrich Jiang Silvia Chiappa 25 173 0 28 Jul 2019
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference Yonatan Belinkov Adam Poliak Stuart M. Shieber Benjamin Van Durme Alexander M. Rush AAML 39 69 0 09 Jul 2019
Rényi Fair Inference Sina Baharlouei Maher Nouiehed Ahmad Beirami Meisam Razaviyayn FaML 21 66 0 28 Jun 2019
Transfer of Machine Learning Fairness across Domains Candice Schumann Xuezhi Wang Alex Beutel Jilin Chen Hai Qian Ed H. Chi 27 68 0 24 Jun 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review Tony Sun Andrew Gaut Shirlyn Tang Yuxin Huang Mai Elsherief Jieyu Zhao Diba Mirza E. Belding-Royer Kai-Wei Chang William Yang Wang AI4CE 47 542 0 21 Jun 2019
Incorporating Priors with Feature Attribution on Text Classification Frederick Liu Besim Avci FAtt FaML 31 120 0 19 Jun 2019
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization Joymallya Chakraborty Tianpei Xia F. M. Fahid Tim Menzies FaML 30 40 0 14 May 2019
Learning Fair Representations via an Adversarial Framework Rui Feng Yang Yang Yuehan Lyu Chenhao Tan Yizhou Sun Chunping Wang FaML 17 55 0 30 Apr 2019
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes Alexey Romanov Maria De-Arteaga Hanna M. Wallach J. Chayes C. Borgs Alexandra Chouldechova S. Geyik K. Kenthapadi Anna Rumshisky Adam Tauman Kalai 13 80 0 10 Apr 2019
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them Hila Gonen Yoav Goldberg 34 567 0 09 Mar 2019
Implicit Diversity in Image Summarization L. E. Celis Vijay Keswani 21 33 0 29 Jan 2019
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Allison Woodruff Christine Luu Pierre Kreitmann Jonathan Bischof Ed H. Chi FaML 30 150 0 14 Jan 2019
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations Tianlu Wang Jieyu Zhao Mark Yatskar Kai-Wei Chang Vicente Ordonez FaML 28 17 0 20 Nov 2018
The Price of Fair PCA: One Extra Dimension Samira Samadi U. Tantipongpipat Jamie Morgenstern Mohit Singh Santosh Vempala FaML 6 154 0 31 Oct 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde ... Diptikalyan Saha P. Sattigeri Moninder Singh Kush R. Varshney Yunfeng Zhang FaML SyDa 39 795 0 03 Oct 2018
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract) Lisa Anne Hendricks Kaylee Burns Kate Saenko Trevor Darrell Anna Rohrbach 39 478 0 02 Jul 2018
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction C. Wadsworth Francesca Vera Chris Piech FaML 17 180 0 30 Jun 2018
FairGAN: Fairness-aware Generative Adversarial Networks Depeng Xu Shuhan Yuan Lu Zhang Xintao Wu GAN 22 306 0 28 May 2018
Fairness GAN P. Sattigeri Samuel C. Hoffman Vijil Chenthamarakshan Kush R. Varshney 18 93 0 24 May 2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems S. Kiritchenko Saif M. Mohammad FaML 33 431 0 11 May 2018