v1v2v3 (latest)

Consistent Estimators for Learning to Defer to an Expert

2 June 2020

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

38 / 38 papers shown

Title
Revisiting Rogers' Paradox in the Context of Human-AI Interaction Katherine M. Collins Umang Bhatt Ilia Sucholutsky 127 1 0 16 Jan 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Zhiqiang Zhang NoLa CML 480 0 0 18 Dec 2024
Cocoa: Co-Planning and Co-Execution with AI Agents K. J. Kevin Feng Kevin Pu Matt Latzke Tal August Pao Siangliulue Jonathan Bragg Daniel S. Weld Amy X. Zhang Joseph Chee Chang LM&Ro LLMAG 150 6 0 14 Dec 2024
Rejection via Learning Density Ratios Alexander Soen Hisham Husain Philip Schulz Vu-Linh Nguyen 122 2 0 29 May 2024
A Causal Framework for Evaluating Deferring Systems Filippo Palomba Andrea Pugnana Jose M. Alvarez Salvatore Ruggieri CML 129 4 0 29 May 2024
To Ask or Not To Ask: Human-in-the-loop Contextual Bandits with Applications in Robot-Assisted Feeding Rohan Banerjee Rajat Kumar Jenamani Sidharth Vasudev Amal Nanavati Katherine Dimitropoulou Sarah Dean Tapomayukh Bhattacharjee 163 2 0 11 May 2024
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 190 11 0 13 Apr 2023
Learning to Complement Humans Bryan Wilder Eric Horvitz Ece Kamar 165 168 0 01 May 2020
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork Gagan Bansal Besmira Nushi Ece Kamar Eric Horvitz Daniel S. Weld 53 21 0 27 Apr 2020
Regression Under Human Assistance A. De Nastaran Okati Paramita Koley Niloy Ganguly Manuel Gomez Rodriguez 157 62 0 06 Sep 2019
Human uncertainty makes classification more robust Joshua C. Peterson Ruairidh M. Battleday Thomas Griffiths Olga Russakovsky OOD 64 302 0 19 Aug 2019
Deep Gamblers: Learning to Abstain with Portfolio Theory Liu Ziyin Zhikang T. Wang Paul Pu Liang Ruslan Salakhutdinov Louis-Philippe Morency Masahito Ueda 81 113 0 29 Jun 2019
Racial Bias in Hate Speech and Abusive Language Detection Datasets Thomas Davidson Debasmita Bhattacharya Ingmar Weber 102 457 0 29 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 145 3,033 0 06 May 2019
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort M. Raghu Katy Blumer G. Corrado Jon M. Kleinberg Ziad Obermeyer S. Mullainathan 156 140 0 28 Mar 2019
On the Calibration of Multiclass Classification with Rejection Chenri Ni Nontawat Charoenphakdee Junya Honda Masashi Sugiyama 44 55 0 30 Jan 2019
SelectiveNet: A Deep Neural Network with an Integrated Reject Option Yonatan Geifman Ran El-Yaniv CVBM OOD 126 311 0 26 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 112 2,602 0 21 Jan 2019
Machine Learning with Abstention for Automated Liver Disease Diagnosis Kanza Hamid Amina Asif Wajid Arshad Abbasi D. Sabih F. Minhas 33 27 0 11 Nov 2018
From Soft Classifiers to Hard Decisions: How fair can we be? R. Canetti A. Cohen Nishanth Dikkala Govind Ramnarayan Sarah Scheffler Adam D. Smith FaML 113 59 0 03 Oct 2018
Direct Uncertainty Prediction for Medical Second Opinions M. Raghu Katy Blumer Rory Sayres Ziad Obermeyer Robert D. Kleinberg S. Mullainathan Jon M. Kleinberg OOD UD 82 137 0 04 Jul 2018
Fairness Under Composition Cynthia Dwork Christina Ilvento FaML 88 127 0 15 Jun 2018
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 179 473 0 30 May 2018
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer David Madras T. Pitassi R. Zemel FaML 163 221 0 17 Nov 2017
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection Joseph D. Futoma S. Hariharan M. Sendak Nathan Brajer M. Clement A. Bedoya Cara O'Brien Katherine A. Heller 58 127 0 19 Aug 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,855 0 14 Jun 2017
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 95 527 0 23 May 2017
Automated Hate Speech Detection and the Problem of Offensive Language Thomas Davidson Dana Warmsley M. Macy Ingmar Weber 76 2,688 0 11 Mar 2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Noam M. Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton J. Dean MoE 251 2,653 0 23 Jan 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 342 5,372 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 196 2,533 0 02 Nov 2016
Demographic Dialectal Variation in Social Media: A Case Study of African-American English Su Lin Blodgett Lisa Green Brendan O'Connor 93 354 0 31 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 333 8,130 0 13 Aug 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 349 7,995 0 23 May 2016
Active Learning from Weak and Strong Labelers Chicheng Zhang Kamalika Chaudhuri 53 103 0 09 Oct 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 829 9,345 0 06 Jun 2015
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 635 13,431 0 25 Aug 2014
Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss Shai Ben-David D. Loker Nathan Srebro Karthik Sridharan 81 64 0 27 Jun 2012