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We study the statistical properties of learning to defer (L2D) to multiple experts.
An optimum character recognition system using decision functions
C. K. Chow · 1957
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The well-calibrated Bayesian
A Philip Dawid · 1982
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Solving multiclass learning problems via error-correcting output codes
Thomas G. Dietterich and Ghulum Bakiri · 1995
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Reducing multiclass to binary: A unifying approach for margin classifiers
Erin L. Allwein, Robert E. Schapire, and Yoram Singer · 2001
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Diagnostic accuracy of dermoscopy
Harold Kittler, H Pehamberger, K Wolff, and MJTIO Binder · 2002
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Sensitive error correcting output codes
John Langford, Tti-Chicago, Jl@hunch Net, and Alina Beygelzimer · 2005
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Getting the most out of multidisciplinary teams: A multi-sample study of team innovation in health care
Doris Fay, Carol Borrill, Ziv Amir, Robert Haward, and Michael A West · 2006
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How to compare different loss functions and their risks
Ingo Steinwart · 2007
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Classification with a reject option using a hinge loss
Peter L. Bartlett and Marten H. Wegkamp · 2008
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A tutorial on conformal prediction
Glenn Shafer and Vladimir Vovk · 2008
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Galaxy Zoo: the dependence of morphology and colour on environment*
Steven P. Bamford, Robert C. Nichol, Ivan K. Baldry, Kate Land, Chris J. Lintott, Kevin Schawinski, Anže Slosar, Alexander S. Szalay, Daniel Thomas, Mehri Torki, Dan Andreescu, Edward M. Edmondson, Christopher J. Miller, Phil Murray, M. Jordan Raddick, and Jan Vandenberg · 2009
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Support vector machines with a reject option
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, and Stéphane Canu · 2009
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Learning multiple layers of features from tiny images
Alex Krizhevsky · 2009
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Classification methods with reject option based on convex risk minimization
Ming Yuan and Marten Wegkamp · 2010
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Convolutional neural networks for sentence classification
Yoon Kim · 2014
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On the consistency of output code based learning algorithms for multiclass learning problems
Harish G. Ramaswamy, Balaji Srinivasan Babu, Shivani Agarwal, and Robert C. Williamson · 2014
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Fasttext.zip: Compressing text classification models
Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hervé Jégou, and Tomás Mikolov · 2016
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Directions in hybrid intelligence: Complementing ai systems with human intelligence
Ece Kamar · 2016
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Automated hate speech detection and the problem of offensive language
Thomas Davidson, Dana Warmsley, Michael W. Macy, and Ingmar Weber · 2017
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On calibration of modern neural networks
Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q. Weinberger · 2017
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To trust or not to trust a classifier
Heinrich Jiang, Been Kim, Melody Y. Guan, and Maya Gupta · 2018
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Predict responsibly: Improving fairness and accuracy by learning to defer
David Madras, Toniann Pitassi, and Richard Zemel · 2018
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Consistent algorithms for multiclass classification with an abstain option
H. G. Ramaswamy, Ambuj Tewari, and Shivani Agarwal · 2018
Combining human predictions with model probabilities via confusion matrices and calibration
Gavin Kerrigan, Padhraic Smyth, and Mark Steyvers · 2021
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Towards unbiased and accurate deferral to multiple experts
Vijay Keswani, Matthew Lease, and Krishnaram Kenthapadi · 2021
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Differentiable learning under triage
Nastaran Okati, Abir De, and Manuel Gomez-Rodriguez · 2021
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Preferential mixture-of-experts: Interpretable models that rely on human expertise as much as possible
Melanie F Pradier, Javier Zazo, Sonali Parbhoo, Roy H Perlis, Maurizio Zazzi, and Finale Doshi-Velez · 2021
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Mlp-mixer: An all-mlp architecture for vision
Ilya O. Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, and Alexey Dosovitskiy · 2021
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Cited alongside, same era.
The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Philipp Tschandl, Cliff Rosendahl, and Harald Kittler · 2018
Cited alongside, same era.
Hybrid intelligence
Dominik Dellermann, Philipp Ebel, Matthias Söllner, and Jan Marco Leimeister · 2019
Cited alongside, same era.
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with dirichlet calibration
Meelis Kull, Miquel Perello-Nieto, Markus Kängsepp, Telmo Silva Filho, Hao Song, and Peter Flach · 2019
Cited alongside, same era.
On the calibration of multiclass classification with rejection
Chenri Ni, Nontawat Charoenphakdee, Junya Honda, and Masashi Sugiyama · 2019
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The algorithmic automation problem: Prediction, triage, and human effort
Maithra Raghu, Katy Blumer, Greg Corrado, Jon Kleinberg, Ziad Obermeyer, and Sendhil Mullainathan · 2019
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Evaluating model calibration in classification
Juozas Vaicenavicius, David Widmann, Carl Andersson, Fredrik Lindsten, Jacob Roll, and Thomas Schön · 2019
Cited alongside, same era.
Anastasios N Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, and Tal Schuster · 2022
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On the utility of prediction sets in human-ai teams
Varun Babbar, Umang Bhatt, and Adrian Weller · 2022
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Counterfactual inference of second opinions
Nina Corvelo Benz and Manuel Gomez Rodriguez · 2022
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Sample efficient learning of predictors that complement humans
Mohammad-Amin Charusaie, Hussein Mozannar, David Sontag, and Samira Samadi · 2022
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Top-label calibration and multiclass-to-binary reductions
Chirag Gupta and Aaditya Ramdas · 2022
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Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts
Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, and Gerhard Satzger · 2022
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Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis
Jessie Liu, Blanca Gallego, and Sebastiano Barbieri · 2022
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Post-hoc estimators for learning to defer to an expert
Harikrishna Narasimhan, Wittawat Jitkrittum, Aditya Krishna Menon, Ankit Singh Rawat, and Sanjiv Kumar · 2022
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Provably improving expert predictions with conformal prediction
Eleni Straitouri, Lequn Wang, Nastaran Okati, and Manuel Gomez Rodriguez · 2022
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Calibrated learning to defer with one-vs-all classifiers
Rajeev Verma and Eric Nalisnick · 2022
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Wide residual networks
Sergey Zagoruyko and Nikos Komodakis · 2022
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