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Fairness in Deep Learning: A Computational Perspective

23 August 2019

Fan Yang

Papers citing "Fairness in Deep Learning: A Computational Perspective"

41 / 41 papers shown

Title
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 108 3 0 29 Aug 2024
Mitigating Gender Bias in Captioning Systems Ruixiang Tang Mengnan Du Yuening Li Zirui Liu Na Zou Helen Zhou FaML 75 66 0 15 Jun 2020
Learning Credible Deep Neural Networks with Rationale Regularization Mengnan Du Ninghao Liu Fan Yang Helen Zhou FaML 93 46 0 13 Aug 2019
Wasserstein Fair Classification Ray Jiang Aldo Pacchiano T. Stepleton Heinrich Jiang Silvia Chiappa 69 181 0 28 Jul 2019
Incorporating Priors with Feature Attribution on Text Classification Frederick Liu Besim Avci FAtt FaML 99 120 0 19 Jun 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang Zihang Dai Yiming Yang J. Carbonell Ruslan Salakhutdinov Quoc V. Le AI4CE 236 8,455 0 19 Jun 2019
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 196 334 0 06 Jun 2019
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 75 157 0 01 Jun 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 88 259 0 25 May 2019
Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets Chris Dulhanty A. Wong 72 42 0 03 May 2019
Deep Learning for Face Recognition: Pride or Prejudiced? Shruti Nagpal Maneet Singh Richa Singh Mayank Vatsa FaML 87 75 0 02 Apr 2019
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition Mengnan Du Ninghao Liu Fan Yang Shuiwang Ji Helen Zhou FAtt 60 50 0 27 Mar 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 103 153 0 14 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,324 0 11 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 105 813 0 03 Oct 2018
Adversarial Removal of Demographic Attributes from Text Data Yanai Elazar Yoav Goldberg FaML 113 309 0 20 Aug 2018
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Helen Zhou FaML 95 1,092 0 31 Jul 2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems S. Kiritchenko Saif M. Mohammad FaML 86 441 0 11 May 2018
Towards Explanation of DNN-based Prediction with Guided Feature Inversion Mengnan Du Ninghao Liu Qingquan Song Helen Zhou FAtt 97 127 0 19 Mar 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 230 1,107 0 06 Mar 2018
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 168 1,180 0 06 Mar 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 384 685 0 17 Feb 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 204 1,393 0 22 Jan 2018
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks Ruth C. Fong Andrea Vedaldi FAtt 82 264 0 10 Jan 2018
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification Maayan Frid-Adar Eyal Klang Michal Amitai Jacob Goldberger H. Greenspan MedIm GAN 75 705 0 08 Jan 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 252 1,848 0 30 Nov 2017
Learning Credible Models Jiaxuan Wang Jeeheh Oh Haozhu Wang Jenna Wiens FaML 77 30 0 08 Nov 2017
On Formalizing Fairness in Prediction with Machine Learning Pratik Gajane Mykola Pechenizkiy FaML 177 213 0 09 Oct 2017
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints Jieyu Zhao Tianlu Wang Mark Yatskar Vicente Ordonez Kai-Wei Chang FaML 113 974 0 29 Jul 2017
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations Alex Beutel Jilin Chen Zhe Zhao Ed H. Chi FaML 111 442 0 01 Jul 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 139 592 0 10 Mar 2017
Age Progression/Regression by Conditional Adversarial Autoencoder Zhifei Zhang Yang Song Hairong Qi GAN CVBM 90 1,119 0 27 Feb 2017
Deep Feature Interpolation for Image Content Changes P. Upchurch Jacob V. Gardner Geoff Pleiss Robert Pless Noah Snavely Kavita Bala Kilian Q. Weinberger 118 309 0 16 Nov 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,341 0 07 Oct 2016
Demographic Dialectal Variation in Social Media: A Case Study of African-American English Su Lin Blodgett Lisa Green Brendan O'Connor 101 354 0 31 Aug 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 114 3,159 0 21 Jul 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,092 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 256 9,342 0 14 Dec 2015
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 225 636 0 03 Nov 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 128 1,875 0 22 Jun 2015
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 215 1,996 0 11 Dec 2014