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Learning to Defer to a Population: A Meta-Learning Approach

Learning to Defer to a Population: A Meta-Learning Approach

5 March 2024
Dharmesh Tailor
Aditya Patra
Rajeev Verma
Putra Manggala
Eric Nalisnick
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Papers citing "Learning to Defer to a Population: A Meta-Learning Approach"

11 / 11 papers shown
Title
GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table
  Question Answering
GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table Question Answering
Qianlong Li
Chen Huang
Shuai Li
Yuanxin Xiang
Deng Xiong
Wenqiang Lei
LMTD
78
1
0
02 Dec 2024
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
38
8
0
18 Jul 2024
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer
  Problems
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
Mohammad-Amin Charusaie
Samira Samadi
29
1
0
17 Jul 2024
Regression with Multi-Expert Deferral
Regression with Multi-Expert Deferral
Anqi Mao
M. Mohri
Yutao Zhong
34
10
0
28 Mar 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
Learning to Complement with Multiple Humans
Learning to Complement with Multiple Humans
Zheng Zhang
Cuong C. Nguyen
Kevin Wells
Thanh-Toan Do
Gustavo Carneiro
24
0
0
22 Nov 2023
In Defense of Softmax Parametrization for Calibrated and Consistent
  Learning to Defer
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer
Yuzhou Cao
Hussein Mozannar
Lei Feng
Hongxin Wei
Bo An
31
17
0
02 Nov 2023
Hybrid Intelligence
Hybrid Intelligence
Dominik Dellermann
P. Ebel
Matthias Söllner
J. Leimeister
34
354
0
03 May 2021
Group Equivariant Conditional Neural Processes
Group Equivariant Conditional Neural Processes
M. Kawano
Wataru Kumagai
Akiyoshi Sannai
Yusuke Iwasawa
Y. Matsuo
BDL
53
20
0
17 Feb 2021
TaskNorm: Rethinking Batch Normalization for Meta-Learning
TaskNorm: Rethinking Batch Normalization for Meta-Learning
J. Bronskill
Jonathan Gordon
James Requeima
Sebastian Nowozin
Richard Turner
71
89
0
06 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
377
11,700
0
09 Mar 2017
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