Title
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 275 2 0 05 Oct 2024
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models Ibrahim Alabdulmohsin Mario Lucic 38 22 0 06 Jun 2021
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests Victor Veitch Alexander DÁmour Steve Yadlowsky Jacob Eisenstein OOD 80 93 0 31 May 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions Abhijit Guha Roy Jie Jessie Ren Shekoofeh Azizi Aaron Loh Vivek Natarajan ... Yun-Hui Liu taylan. cemgil Alan Karthikesalingam Balaji Lakshminarayanan Jim Winkens 117 108 0 08 Apr 2021
An Empirical Framework for Domain Generalization in Clinical Settings Haoran Zhang Natalie Dullerud Laleh Seyyed-Kalantari Q. Morris Shalmali Joshi Marzyeh Ghassemi OOD AI4CE 111 61 0 20 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 257 1,235 0 02 Mar 2021
Technical Challenges for Training Fair Neural Networks Valeriia Cherepanova V. Nanda Micah Goldblum John P. Dickerson Tom Goldstein FaML 59 22 0 12 Feb 2021
Re-imagining Algorithmic Fairness in India and Beyond Nithya Sambasivan Erin Arnesen Ben Hutchinson Tulsee Doshi Vinodkumar Prabhakaran FaML 100 184 0 25 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 304 500 0 31 Dec 2020
Partial Identifiability in Discrete Data With Measurement Error N. Finkelstein R. Adams Suchi Saria I. Shpitser 70 11 0 23 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 257 1,451 0 14 Dec 2020
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification Robert Adragna Elliot Creager David Madras R. Zemel OOD FaML 64 43 0 12 Nov 2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 143 688 0 06 Nov 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 66 384 0 14 Oct 2020
To be Robust or to be Fair: Towards Fairness in Adversarial Training Han Xu Xiaorui Liu Yaxin Li Anil K. Jain Jiliang Tang 61 180 0 13 Oct 2020
A Brief Review of Domain Adaptation Abolfazl Farahani Sahar Voghoei Khaled Rasheed H. Arabnia OOD 66 549 0 07 Oct 2020
Fair Meta-Learning For Few-Shot Classification Chengli Zhao Changbin Li Jincheng Li Feng Chen FaML 57 26 0 23 Sep 2020
Ethical Machine Learning in Health Care Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi AILaw 88 389 0 22 Sep 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen Pfohl Agata Foryciarz N. Shah FaML 111 113 0 20 Jul 2020
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 68 62 0 18 Jul 2020
A Unified View of Label Shift Estimation Saurabh Garg Yifan Wu Sivaraman Balakrishnan Zachary Chase Lipton 86 146 0 17 Mar 2020
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness Samuel Yeom Matt Fredrikson AAML 74 27 0 18 Feb 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 295 1,211 0 24 Dec 2019
Causality matters in medical imaging Daniel Coelho De Castro Ian Walker Ben Glocker CML 59 346 0 17 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 91 365 0 26 Nov 2019
Causal Modeling for Fairness in Dynamical Systems Elliot Creager David Madras T. Pitassi R. Zemel 80 67 0 18 Sep 2019
A deep learning system for differential diagnosis of skin diseases Yuan Liu Ayush Jain C. Eng David H. Way Kang Lee ... Dennis Ai Shijie Huang Yun-Hui Liu R. C. Dunn David Coz 53 604 0 11 Sep 2019
Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning Vishwali Mhasawade N. Rehman R. Chunara OOD 70 9 0 24 Aug 2019
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Dylan Slack Sorelle A. Friedler Emile Givental FaML 113 55 0 24 Aug 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 585 4,394 0 23 Aug 2019
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks Bret A. Nestor Matthew B. A. McDermott Willie Boag G. Berner Tristan Naumann Michael C. Hughes Anna Goldenberg Marzyeh Ghassemi OOD 89 113 0 02 Aug 2019
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III Shirly Wang Matthew B. A. McDermott Geeticka Chauhan Michael C. Hughes Tristan Naumann Marzyeh Ghassemi 89 213 0 19 Jul 2019
Training individually fair ML models with Sensitive Subspace Robustness Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 85 120 0 28 Jun 2019
Learning Fair and Transferable Representations L. Oneto Michele Donini Andreas Maurer Massimiliano Pontil FaML 88 19 0 25 Jun 2019
Transfer of Machine Learning Fairness across Domains Candice Schumann Xuezhi Wang Alex Beutel Jilin Chen Hai Qian Ed H. Chi 66 70 0 24 Jun 2019
GradMask: Reduce Overfitting by Regularizing Saliency B. Simpson Francis Dutil Yoshua Bengio Joseph Paul Cohen MedIm 68 24 0 16 Apr 2019
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift Stephan Rabanser Stephan Günnemann Zachary Chase Lipton 72 371 0 29 Oct 2018
Confounding variables can degrade generalization performance of radiological deep learning models J. Zech Marcus A. Badgeley Manway Liu A. Costa J. Titano Eric K. Oermann OOD 87 1,180 0 02 Jul 2018
Residual Unfairness in Fair Machine Learning from Prejudiced Data Nathan Kallus Angela Zhou FaML 185 136 0 07 Jun 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
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 95 341 0 22 Feb 2018
Detecting and Correcting for Label Shift with Black Box Predictors Zachary Chase Lipton Yu Wang Alex Smola OOD 81 558 0 12 Feb 2018
Scalable and accurate deep learning for electronic health records A. Rajkomar Eyal Oren Kai Chen Andrew M. Dai Nissan Hajaj ... A. Butte M. Howell Claire Cui Greg S. Corrado Jeffrey Dean OOD BDL 193 2,156 0 24 Jan 2018
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
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions Sara Magliacane T. V. Ommen Tom Claassen Stephan Bongers Philip Versteeg Joris M. Mooij OOD CML 119 237 0 20 Jul 2017
Discriminatory Transfer Chao Lan Jun Huan FaML 318 20 0 03 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
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 210 1,214 0 26 Oct 2016
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 102 612 0 27 Jun 2012