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Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer

17 November 2017

Papers citing "Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer"

39 / 139 papers shown

Title
Doubting AI Predictions: Influence-Driven Second Opinion Recommendation Maria De-Arteaga Alexandra Chouldechova Artur Dubrawski 60 4 0 29 Apr 2022
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity Charvi Rastogi Liu Leqi Kenneth Holstein Hoda Heidari 137 12 0 22 Apr 2022
Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness Kate Donahue Alexandra Chouldechova K. Kenthapadi FaML FedML 109 54 0 17 Feb 2022
Uncalibrated Models Can Improve Human-AI Collaboration Kailas Vodrahalli Tobias Gerstenberg James Zou HAI 122 30 0 12 Feb 2022
Designing Closed Human-in-the-loop Deferral Pipelines Vijay Keswani Matthew Lease K. Kenthapadi OffRL 119 10 0 09 Feb 2022
Calibrated Learning to Defer with One-vs-All Classifiers Rajeev Verma Eric Nalisnick 75 45 0 08 Feb 2022
Improving Learning-to-Defer Algorithms Through Fine-Tuning Naveen Raman Michael Yee 58 9 0 18 Dec 2021
Role of Human-AI Interaction in Selective Prediction Elizabeth Bondi Raphael Köster Hannah R. Sheahan Martin Chadwick Yoram Bachrach taylan. cemgil Ulrich Paquet Krishnamurthy Dvijotham 80 35 0 13 Dec 2021
Teaching Humans When To Defer to a Classifier via Exemplars Hussein Mozannar Arvindmani Satyanarayan David Sontag 85 43 0 22 Nov 2021
Algorithm Fairness in AI for Medicine and Healthcare Richard J. Chen Tiffany Y. Chen Jana Lipkova Judy J. Wang Drew F. K. Williamson Ming Y. Lu S. Sahai Faisal Mahmood FaML 148 47 0 01 Oct 2021
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration Gavin Kerrigan Padhraic Smyth M. Steyvers 70 49 0 29 Sep 2021
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 76 101 0 27 Sep 2021
Learning-to-defer for sequential medical decision-making under uncertainty Shalmali Joshi S. Parbhoo Finale Doshi-Velez OffRL 100 7 0 13 Sep 2021
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness Fatemehsadat Mireshghallah Taylor Berg-Kirkpatrick 132 13 0 10 Sep 2021
Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis Jessie Liu B. Gallego S. Barbieri 88 15 0 17 Aug 2021
Machine Learning with a Reject Option: A survey Kilian Hendrickx Lorenzo Perini Dries Van der Plas Wannes Meert Jesse Davis MU 96 129 0 23 Jul 2021
Diversity in Sociotechnical Machine Learning Systems S. Fazelpour Maria De-Arteaga 88 38 0 19 Jul 2021
Disaggregated Interventions to Reduce Inequality Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 86 13 0 01 Jul 2021
Human-AI Collaboration with Bandit Feedback Ruijiang Gao M. Saar-Tsechansky Maria De-Arteaga Ligong Han Min Kyung Lee Matthew Lease 201 50 0 22 May 2021
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays E. Chen Andy Kim R. Krishnan J. Long A. Ng Pranav Rajpurkar 51 2 0 18 Mar 2021
Differentiable Learning Under Triage Nastaran Okati A. De Manuel Gomez Rodriguez 112 64 0 16 Mar 2021
Towards Unbiased and Accurate Deferral to Multiple Experts Vijay Keswani Matthew Lease K. Kenthapadi FaML 70 70 0 25 Feb 2021
Classification with abstention but without disparities Nicolas Schreuder Evgenii Chzhen FaML 101 24 0 24 Feb 2021
Leveraging Expert Consistency to Improve Algorithmic Decision Support Maria De-Arteaga Vincent Jeanselme A. Dubrawski Alexandra Chouldechova 84 22 0 24 Jan 2021
Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible Melanie F. Pradier Javier Zazo S. Parbhoo R. Perlis Maurizio Zazzi Finale Doshi-Velez MoE 66 20 0 13 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 321 500 0 31 Dec 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 129 252 0 15 Nov 2020
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles U. Sarawgi W. Zulfikar Rishab Khincha Pattie Maes PER UQCV BDL UD 50 7 0 25 Sep 2020
Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Conformal Prediction Sets R. Berk Arun K. Kuchibhotla 35 5 0 26 Aug 2020
Beyond Individual and Group Fairness Pranjal Awasthi Corinna Cortes Yishay Mansour M. Mohri FaML 143 22 0 21 Aug 2020
A Bandit Model for Human-Machine Decision Making with Private Information and Opacity Sebastian Bordt U. V. Luxburg 62 8 0 09 Jul 2020
Unifying Model Explainability and Robustness via Machine-Checkable Concepts Vedant Nanda Till Speicher John P. Dickerson Krishna P. Gummadi Muhammad Bilal Zafar AAML 38 4 0 01 Jul 2020
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Tulio Ribeiro Daniel S. Weld 138 607 0 26 Jun 2020
Consistent Estimators for Learning to Defer to an Expert Hussein Mozannar David Sontag 91 205 0 02 Jun 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 69 40 0 26 May 2020
On Consequentialism and Fairness Dallas Card Noah A. Smith FaML 68 11 0 02 Jan 2020
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge Laura Rieger Chandan Singh W. James Murdoch Bin Yu FAtt 111 215 0 30 Sep 2019
An Embedding Framework for Consistent Polyhedral Surrogates Jessie Finocchiaro Rafael Frongillo Bo Waggoner 59 30 0 17 Jul 2019
Learning Representations by Humans, for Humans Sophie Hilgard Nir Rosenfeld M. Banaji Jack Cao David C. Parkes OCL HAI AI4CE 106 29 0 29 May 2019