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Consistent Estimators for Learning to Defer to an Expert

2 June 2020

Papers citing "Consistent Estimators for Learning to Defer to an Expert"

35 / 135 papers shown

Title
Uncalibrated Models Can Improve Human-AI Collaboration Kailas Vodrahalli Tobias Gerstenberg James Zou HAI 113 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 Expert Predictions with Conformal Prediction Eleni Straitouri Lequn Wang Nastaran Okati Manuel Gomez Rodriguez 100 33 0 28 Jan 2022
Improving Learning-to-Defer Algorithms Through Fine-Tuning Naveen Raman Michael Yee 58 9 0 18 Dec 2021
On the Value of ML Models Fabio Casati Pierre-Andre Noel Jie Yang 53 7 0 13 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 73 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
Evaluating and Improving Interactions with Hazy Oracles Stephan J. Lemmer Jason J. Corso 35 2 0 19 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
Reinforcement Learning Under Algorithmic Triage Eleni Straitouri Adish Singla Vahid Balazadeh Meresht Manuel Gomez Rodriguez OffRL 74 16 0 23 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
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets Fahim Tajwar Ananya Kumar Sang Michael Xie Percy Liang OODD 70 25 0 12 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
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
Approximating Instance-Dependent Noise via Instance-Confidence Embedding Yivan Zhang Masashi Sugiyama 65 8 0 25 Mar 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
CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays Siyu Shi Ishaan Malhi Ke M. Tran A. Ng Pranav Rajpurkar 42 4 0 08 Mar 2021
Towards Unbiased and Accurate Deferral to Multiple Experts Vijay Keswani Matthew Lease K. Kenthapadi FaML 70 70 0 25 Feb 2021
Bayesian OOD detection with aleatoric uncertainty and outlier exposure Xi Wang Laurence Aitchison UD 87 15 0 24 Feb 2021
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization Yivan Zhang Gang Niu Masashi Sugiyama NoLa 85 82 0 04 Feb 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 64 20 0 13 Jan 2021
A Symmetric Loss Perspective of Reliable Machine Learning Nontawat Charoenphakdee Jongyeong Lee Masashi Sugiyama 68 0 0 05 Jan 2021
Towards an AI assistant for power grid operators Antoine Marot Alexandre Rozier Matthieu Dussartre Laure Crochepierre Benjamin Donnot AI4CE 59 10 0 03 Dec 2020
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective Nontawat Charoenphakdee J. Vongkulbhisal Nuttapong Chairatanakul Masashi Sugiyama UQCV 46 26 0 18 Nov 2020
Selective Classification Can Magnify Disparities Across Groups Erik Jones Shiori Sagawa Pang Wei Koh Ananya Kumar Percy Liang 113 47 0 27 Oct 2020
Classification with Rejection Based on Cost-sensitive Classification Nontawat Charoenphakdee Zhenghang Cui Yivan Zhang Masashi Sugiyama 162 67 0 22 Oct 2020
A Bandit Model for Human-Machine Decision Making with Private Information and Opacity Sebastian Bordt U. V. Luxburg 52 8 0 09 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 125 607 0 26 Jun 2020
Classification Under Human Assistance A. De Nastaran Okati Ali Zarezade Manuel Gomez Rodriguez 63 49 0 21 Jun 2020
Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes S. Boominathan Michael Oberst Helen Zhou S. Kanjilal David Sontag OffRL 41 8 0 01 Jun 2020
Learning to Switch Among Agents in a Team via 2-Layer Markov Decision Processes Vahid Balazadeh Meresht Abir De Adish Singla Manuel Gomez-Rodriguez 29 2 0 11 Feb 2020
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