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Teaching Humans When To Defer to a Classifier via Exemplars

Teaching Humans When To Defer to a Classifier via Exemplars

22 November 2021
Hussein Mozannar
Arvindmani Satyanarayan
David Sontag
ArXivPDFHTML

Papers citing "Teaching Humans When To Defer to a Classifier via Exemplars"

8 / 8 papers shown
Title
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills
Zana Buçinca
S. Swaroop
Amanda E. Paluch
Finale Doshi-Velez
Krzysztof Z. Gajos
48
2
0
05 Oct 2024
Learning Personalized Decision Support Policies
Learning Personalized Decision Support Policies
Umang Bhatt
Valerie Chen
Katherine M. Collins
Parameswaran Kamalaruban
Emma Kallina
Adrian Weller
Ameet Talwalkar
OffRL
53
10
0
13 Apr 2023
Exploring Challenges and Opportunities to Support Designers in Learning
  to Co-create with AI-based Manufacturing Design Tools
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools
Frederic Gmeiner
Humphrey Yang
L. Yao
Kenneth Holstein
Nikolas Martelaro
AI4CE
60
63
0
01 Mar 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
Hussein Mozannar
Hunter Lang
Dennis L. Wei
P. Sattigeri
Subhro Das
David Sontag
27
40
0
15 Jan 2023
Improving Human-AI Collaboration With Descriptions of AI Behavior
Improving Human-AI Collaboration With Descriptions of AI Behavior
Ángel Alexander Cabrera
Adam Perer
Jason I. Hong
35
34
0
06 Jan 2023
Sample Efficient Learning of Predictors that Complement Humans
Sample Efficient Learning of Predictors that Complement Humans
Mohammad-Amin Charusaie
Hussein Mozannar
David Sontag
Samira Samadi
36
31
0
19 Jul 2022
Improving Human-AI Partnerships in Child Welfare: Understanding Worker
  Practices, Challenges, and Desires for Algorithmic Decision Support
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support
Anna Kawakami
Venkatesh Sivaraman
H. Cheng
Logan Stapleton
Yanghuidi Cheng
Diana Qing
Adam Perer
Zhiwei Steven Wu
Haiyi Zhu
Kenneth Holstein
33
106
0
05 Apr 2022
Intuitively Assessing ML Model Reliability through Example-Based
  Explanations and Editing Model Inputs
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs
Harini Suresh
Kathleen M. Lewis
John Guttag
Arvind Satyanarayan
FAtt
37
25
0
17 Feb 2021
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