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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"

50 / 139 papers shown

Title
Bayesian Inference for Correlated Human Experts and Classifiers Markelle Kelly Alex Boyd Sam Showalter M. Steyvers Padhraic Smyth 25 0 0 05 Jun 2025
Designing Algorithmic Delegates: The Role of Indistinguishability in Human-AI Handoff Sophie Greenwood Karen Levy Solon Barocas Hoda Heidari Jon Kleinberg 40 0 0 03 Jun 2025
Bounded-Abstention Pairwise Learning to Rank Antonio Ferrara Andrea Pugnana Francesco Bonchi Salvatore Ruggieri 12 0 0 29 May 2025
DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Chengbo He Bochao Zou Junliang Xing Jiansheng Chen Yuanchun Shi Huimin Ma 40 0 0 25 May 2025
Why Ask One When You Can Ask $k$ ? Two-Stage Learning-to-Defer to the Top- $k$ Experts Yannis Montreuil Axel Carlier Lai Xing Ng Wei Tsang Ooi 80 0 0 17 Apr 2025
Unraveling Human-AI Teaming: A Review and Outlook Bowen Lou Tian Lu T. S. Raghu Yingjie Zhang 121 2 0 08 Apr 2025
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest Jakob Schoeffer Maria De-Arteaga Jonathan Elmer 466 0 0 05 Apr 2025
On the clustering behavior of sliding windows Boris Alexeev Wenyan Luo Dustin G. Mixon Yan X Zhang AI4TS 145 1 0 18 Mar 2025
MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification Jianwei Zhao Xin Li Fan Yang Qiang Zhai Ao Luo Yang Zhao Hong-wei Cheng Huazhu Fu DiffM MedIm 75 0 0 16 Mar 2025
Conformal Linguistic Calibration: Trading-off between Factuality and Specificity Zhengping Jiang Anqi Liu Benjamin Van Durme 170 3 0 26 Feb 2025
Learning to Defer for Causal Discovery with Imperfect Experts Oscar Clivio Divyat Mahajan Perouz Taslakian Sara Magliacane Ioannis Mitliagkas Valentina Zantedeschi Alexandre Drouin CML 166 0 0 18 Feb 2025
The Value of Information in Human-AI Decision-making Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman FAtt 229 0 0 10 Feb 2025
Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant Gaole He Gianluca Demartini U. Gadiraju LLMAG 121 10 0 03 Feb 2025
GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table Question Answering Qianlong Li Chen Huang Shuai Li Yuanxin Xiang Deng Xiong Wenqiang Lei LMTD 126 4 0 02 Dec 2024
A No Free Lunch Theorem for Human-AI Collaboration Kenny Peng Nikhil Garg Jon Kleinberg FedML 126 2 0 21 Nov 2024
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit Junyu Cao Ruijiang Gao Esmaeil Keyvanshokooh 218 1 0 18 Oct 2024
Decision-Point Guided Safe Policy Improvement Abhishek Sharma Leo Benac S. Parbhoo Finale Doshi-Velez OffRL 70 1 0 12 Oct 2024
Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework Rohan Alur Loren Laine Darrick K. Li Dennis L. Shung Manish Raghavan Devavrat Shah 76 2 0 11 Oct 2024
Improving Predictor Reliability with Selective Recalibration Thomas P. Zollo Zhun Deng Jake C. Snell T. Pitassi Richard Zemel OOD 72 0 0 07 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 415 0 0 03 Oct 2024
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness Lucas Rosenblatt R. T. Witter FaML 100 0 0 02 Oct 2024
Online Decision Deferral under Budget Constraints Mirabel Reid Tom Sühr Claire Vernade Samira Samadi OffRL 46 0 0 30 Sep 2024
Learning To Help: Training Models to Assist Legacy Devices Yu Wu Anand Sarwate 63 1 0 24 Sep 2024
Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis Hu Wang David Butler Yuan Zhang Jodie C Avery Steven Knox Congbo Ma Louise Hull Gustavo Carneiro 63 2 0 03 Sep 2024
Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks? Urja Khurana Eric T. Nalisnick Antske Fokkens Swabha Swayamdipta 107 4 0 26 Aug 2024
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems Mohammad-Amin Charusaie Samira Samadi 52 1 0 17 Jul 2024
Learning to Complement and to Defer to Multiple Users Zheng Zhang Wenjie Ai Kevin Wells David Rosewarne Thanh-Toan Do Gustavo Carneiro 82 2 0 09 Jul 2024
Evaluating Human-AI Collaboration: A Review and Methodological Framework George Fragiadakis Christos Diou George Kousiouris Mara Nikolaidou 110 17 0 09 Jul 2024
Modulating Language Model Experiences through Frictions Katherine M. Collins Valerie Chen Ilia Sucholutsky Hannah Rose Kirk Malak Sadek Holli Sargeant Ameet Talwalkar Adrian Weller Umang Bhatt KELM 116 5 0 24 Jun 2024
Towards Integrating Personal Knowledge into Test-Time Predictions Isaac Lage S. Parbhoo Finale Doshi-Velez 69 1 0 12 Jun 2024
On Subjective Uncertainty Quantification and Calibration in Natural Language Generation Ziyu Wang Chris Holmes UQLM 162 7 0 07 Jun 2024
Building Socially-Equitable Public Models Yejia Liu Jianyi Yang Pengfei Li Tongxin Li Shaolei Ren OffRL 98 0 0 04 Jun 2024
Diffusion Boosted Trees Xizewen Han Mingyuan Zhou AI4CE 109 0 0 03 Jun 2024
Cascade-Aware Training of Language Models Congchao Wang Sean Augenstein Keith Rush Wittawat Jitkrittum Harikrishna Narasimhan A. S. Rawat A. Menon Alec Go 81 4 0 29 May 2024
A Causal Framework for Evaluating Deferring Systems Filippo Palomba Andrea Pugnana Jose M. Alvarez Salvatore Ruggieri CML 142 4 0 29 May 2024
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model Chen Huang Yang Deng Wenqiang Lei Jiancheng Lv Ido Dagan 77 4 0 20 May 2024
Challenging the Human-in-the-loop in Algorithmic Decision-making Sebastian Tschiatschek Eugenia Stamboliev Timothée Schmude Mark Coeckelbergh Laura M. Koesten 87 1 0 17 May 2024
Facilitating Opinion Diversity through Hybrid NLP Approaches Michiel van der Meer 85 2 0 15 May 2024
Regression with Multi-Expert Deferral Anqi Mao M. Mohri Yutao Zhong 79 14 0 28 Mar 2024
Learning To Guide Human Decision Makers With Vision-Language Models Debodeep Banerjee Stefano Teso Burcu Sayin Andrea Passerini 108 1 0 25 Mar 2024
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence Patrick Hemmer Max Schemmer Niklas Kühl Michael Vossing G. Satzger 86 18 0 21 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 233 1 0 13 Mar 2024
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints Jean V. Alves Diogo Leitao Sérgio Jesus Marco O. P. Sampaio Javier Liébana Pedro Saleiro Mário A. T. Figueiredo P. Bizarro 63 6 0 11 Mar 2024
Learning to Defer to a Population: A Meta-Learning Approach Dharmesh Tailor Aditya Patra Rajeev Verma Putra Manggala Eric Nalisnick 63 11 0 05 Mar 2024
Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain Pratik Gajane Sean Newman Mykola Pechenizkiy John D. Piette FaML 58 0 0 29 Feb 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 76 6 0 09 Feb 2024
Human Expertise in Algorithmic Prediction Rohan Alur Manish Raghavan Devavrat Shah 58 1 0 01 Feb 2024
A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams Shahroz Tariq Mohan Baruwal Chhetri Surya Nepal Cécile Paris 87 8 0 25 Jan 2024
Causal Perception Jose M. Alvarez Salvatore Ruggieri CML 57 0 0 24 Jan 2024
FiFAR: A Fraud Detection Dataset for Learning to Defer Jean V. Alves Diogo Leitao Sérgio Jesus Marco O. P. Sampaio Pedro Saleiro Mário A. T. Figueiredo P. Bizarro 84 1 0 20 Dec 2023