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Multiple lines of evidence suggest that predictive models may benefit from algorithmic triage.
The algorithmic automation problem: Prediction, triage, and human effort
Maithra Raghu, Katy Blumer, Greg Corrado, Jon Kleinberg, Ziad Obermeyer, and Sendhil Mullainathan · 1903
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A stochastic approximation method
Herbert Robbins and Sutton Monro · 1951
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Active learning with statistical models
David Cohn, Zoubin Ghahramani, and Michael Jordan · 1995
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Convex optimization
Stephen Boyd, Stephen P Boyd, and Lieven Vandenberghe · 2004
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Batch mode active learning and its application to medical image classification
Steven Hoi, Rong Jin, Jianke Zhu, and Michael R Lyu · 2006
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Active learning in approximately linear regression based on conditional expectation of generalization error
Masashi Sugiyama · 2006
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Faster rates in regression via active learning
Rebecca Willett, Robert Nowak, and Rui M Castro · 2006
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Minimax optimal level-set estimation
Rebecca M Willett and Robert D Nowak · 2007
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Peter Bartlett and Marten Wegkamp · 2008
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Discriminative batch mode active learning
Yuhong Guo and Dale Schuurmans · 2008
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Nonparametric Set Estimation Problems in Statistical Inference and Learning
Aarti Singh · 2008
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Galaxy zoo: the dependence of morphology and colour on environment
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Convolutional neural networks for sentence classification, 2014
Yoon Kim · 2014
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Active regression by stratification
Sivan Sabato and Remi Munos · 2014
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Deep residual learning for image recognition, 2015
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Learning with rejection
Corinna Cortes, Giulia DeSalvo, and Mehryar Mohri · 2016
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Fasttext. zip: Compressing text classification models
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Optnet: Differentiable optimization as a layer in neural networks
Brandon Amos and J Zico Kolter · 2017
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Bias-reduced uncertainty estimation for deep neural classifiers
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Submodular observation selection and information gathering for quadratic models
Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, and Ufuk Topcu · 2019
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Deep gamblers: Learning to abstain with portfolio theory
Ziyin Liu, Zhikang Wang, Paul Pu Liang, Russ R Salakhutdinov, Louis-Philippe Morency, and Masahito Ueda · 2019
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Combating label noise in deep learning using abstention
Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff Bilmes, Gopinath Chennupati, and Jamal Mohd-Yusof · 2019
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High-performance medicine: the convergence of human and artificial intelligence
Eric Topol · 2019
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Learning to complement humans
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Optimizing AI for Teamwork
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