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. 2202.03673
  4. Cited By
Calibrated Learning to Defer with One-vs-All Classifiers

Calibrated Learning to Defer with One-vs-All Classifiers

8 February 2022
Rajeev Verma
Eric Nalisnick
ArXivPDFHTML

Papers citing "Calibrated Learning to Defer with One-vs-All Classifiers"

30 / 30 papers shown
Title
Online Decision Deferral under Budget Constraints
Online Decision Deferral under Budget Constraints
Mirabel Reid
Tom Sühr
Claire Vernade
Samira Samadi
OffRL
16
0
0
30 Sep 2024
Learning To Help: Training Models to Assist Legacy Devices
Learning To Help: Training Models to Assist Legacy Devices
Yu Wu
Anand Sarwate
19
1
0
24 Sep 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
Learning to Complement and to Defer to Multiple Users
Learning to Complement and to Defer to Multiple Users
Zheng Zhang
Wenjie Ai
Kevin Wells
David Rosewarne
Thanh-Toan Do
Gustavo Carneiro
30
0
0
09 Jul 2024
Diffusion Boosted Trees
Diffusion Boosted Trees
Xizewen Han
Mingyuan Zhou
AI4CE
26
0
0
03 Jun 2024
Cascade-Aware Training of Language Models
Cascade-Aware Training of Language Models
Congchao Wang
Sean Augenstein
Keith Rush
Wittawat Jitkrittum
Harikrishna Narasimhan
A. S. Rawat
A. Menon
Alec Go
20
4
0
29 May 2024
A Causal Framework for Evaluating Deferring Systems
A Causal Framework for Evaluating Deferring Systems
Filippo Palomba
Andrea Pugnana
Jose M. Alvarez
Salvatore Ruggieri
CML
44
2
0
29 May 2024
A Universal Growth Rate for Learning with Smooth Surrogate Losses
A Universal Growth Rate for Learning with Smooth Surrogate Losses
Anqi Mao
M. Mohri
Yutao Zhong
19
6
0
09 May 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real
  World
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Bani Mallick
UQCV
26
0
0
29 Mar 2024
Regression with Multi-Expert Deferral
Regression with Multi-Expert Deferral
Anqi Mao
M. Mohri
Yutao Zhong
21
11
0
28 Mar 2024
Learning To Guide Human Decision Makers With Vision-Language Models
Learning To Guide Human Decision Makers With Vision-Language Models
Debodeep Banerjee
Stefano Teso
Burcu Sayin
Andrea Passerini
28
1
0
25 Mar 2024
Cost-Sensitive Learning to Defer to Multiple Experts with Workload
  Constraints
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints
Jean V. Alves
Diogo Leitao
Sérgio Jesus
Marco O. P. Sampaio
Javier Liébana
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
21
5
0
11 Mar 2024
Learning to Defer to a Population: A Meta-Learning Approach
Learning to Defer to a Population: A Meta-Learning Approach
Dharmesh Tailor
Aditya Patra
Rajeev Verma
Putra Manggala
Eric Nalisnick
20
4
0
05 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
15
5
0
09 Feb 2024
Bayesian Online Learning for Consensus Prediction
Bayesian Online Learning for Consensus Prediction
Sam Showalter
Alex Boyd
Padhraic Smyth
M. Steyvers
19
1
0
12 Dec 2023
Unified Classification and Rejection: A One-versus-All Framework
Unified Classification and Rejection: A One-versus-All Framework
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
43
7
0
22 Nov 2023
Learning to Complement with Multiple Humans
Learning to Complement with Multiple Humans
Zheng Zhang
Cuong C. Nguyen
Kevin Wells
Thanh-Toan Do
Gustavo Carneiro
16
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
16
0
02 Nov 2023
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and
  Algorithms
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms
Anqi Mao
M. Mohri
Yutao Zhong
21
23
0
23 Oct 2023
Theoretically Grounded Loss Functions and Algorithms for Score-Based
  Multi-Class Abstention
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
Anqi Mao
M. Mohri
Yutao Zhong
11
22
0
23 Oct 2023
Learning to Guide Human Experts via Personalized Large Language Models
Learning to Guide Human Experts via Personalized Large Language Models
Debodeep Banerjee
Stefano Teso
Andrea Passerini
LLMAG
11
0
0
11 Aug 2023
When No-Rejection Learning is Consistent for Regression with Rejection
When No-Rejection Learning is Consistent for Regression with Rejection
Xiaocheng Li
Shang Liu
Chunlin Sun
Hanrui Wang
32
0
0
06 Jul 2023
Beyond Probability Partitions: Calibrating Neural Networks with Semantic
  Aware Grouping
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping
Jia-Qi Yang
De-Chuan Zhan
Le Gan
UQCV
17
5
0
08 Jun 2023
Plugin estimators for selective classification with out-of-distribution
  detection
Plugin estimators for selective classification with out-of-distribution detection
Harikrishna Narasimhan
A. Menon
Wittawat Jitkrittum
Surinder Kumar
OODD
15
4
0
29 Jan 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
16
41
0
15 Jan 2023
Learning to Defer to Multiple Experts: Consistent Surrogate Losses,
  Confidence Calibration, and Conformal Ensembles
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles
Rajeev Verma
Daniel Barrejón
Eric Nalisnick
UQCV
17
29
0
30 Oct 2022
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer
Diogo Leitao
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
15
17
0
27 Jun 2022
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,554
0
04 May 2021
Neural Legal Judgment Prediction in English
Neural Legal Judgment Prediction in English
Ilias Chalkidis
Ion Androutsopoulos
Nikolaos Aletras
AILaw
ELM
98
279
0
05 Jun 2019
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
238
13,283
0
25 Aug 2014
1