ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.10768
  4. Cited By
Improving Learning-to-Defer Algorithms Through Fine-Tuning

Improving Learning-to-Defer Algorithms Through Fine-Tuning

18 December 2021
Naveen Raman
Michael Yee
ArXivPDFHTML

Papers citing "Improving Learning-to-Defer Algorithms Through Fine-Tuning"

6 / 6 papers shown
Title
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for
  Learning to Defer
Realizable HHH-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
Anqi Mao
M. Mohri
Yutao Zhong
43
9
0
18 Jul 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
Clara Punzi
Roberto Pellungrini
Mattia Setzu
F. Giannotti
D. Pedreschi
25
5
0
09 Feb 2024
Principled Approaches for Learning to Defer with Multiple Experts
Principled Approaches for Learning to Defer with Multiple Experts
Anqi Mao
M. Mohri
Yutao Zhong
35
22
0
23 Oct 2023
Learning to Defer with Limited Expert Predictions
Learning to Defer with Limited Expert Predictions
Patrick Hemmer
Lukas Thede
Michael Vossing
Johannes Jakubik
Niklas Kühl
36
13
0
14 Apr 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
32
43
0
15 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
46
33
0
19 Jul 2022
1