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. 1901.10655
  4. Cited By
On the Calibration of Multiclass Classification with Rejection
v1v2 (latest)

On the Calibration of Multiclass Classification with Rejection

30 January 2019
Chenri Ni
Nontawat Charoenphakdee
Junya Honda
Masashi Sugiyama
ArXiv (abs)PDFHTML

Papers citing "On the Calibration of Multiclass Classification with Rejection"

15 / 15 papers shown
Title
Partial-Label Learning with a Reject Option
Partial-Label Learning with a Reject Option
Tobias Fuchs
Florian Kalinke
Klemens Bohm
132
1
0
08 Jan 2025
Rejection via Learning Density Ratios
Rejection via Learning Density Ratios
Alexander Soen
Hisham Husain
Philip Schulz
Vu-Linh Nguyen
135
2
0
29 May 2024
Conformalized Semi-supervised Random Forest for Classification and
  Abnormality Detection
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection
Yujin Han
Mingwenchan Xu
Leying Guan
50
3
0
04 Feb 2023
Is Out-of-Distribution Detection Learnable?
Is Out-of-Distribution Detection Learnable?
Zhen Fang
Yixuan Li
Jie Lu
Jiahua Dong
Bo Han
Feng Liu
OODD
150
133
0
26 Oct 2022
Calibrated Selective Classification
Calibrated Selective Classification
Adam Fisch
Tommi Jaakkola
Regina Barzilay
91
17
0
25 Aug 2022
Calibrated Learning to Defer with One-vs-All Classifiers
Calibrated Learning to Defer with One-vs-All Classifiers
Rajeev Verma
Eric Nalisnick
80
45
0
08 Feb 2022
Surrogate Regret Bounds for Polyhedral Losses
Surrogate Regret Bounds for Polyhedral Losses
Rafael Frongillo
Bo Waggoner
60
14
0
26 Oct 2021
When in Doubt, Summon the Titans: Efficient Inference with Large Models
When in Doubt, Summon the Titans: Efficient Inference with Large Models
A. S. Rawat
Manzil Zaheer
A. Menon
Amr Ahmed
Sanjiv Kumar
58
7
0
19 Oct 2021
Set-valued classification -- overview via a unified framework
Set-valued classification -- overview via a unified framework
Evgenii Chzhen
Christophe Denis
Mohamed Hebiri
Titouan Lorieul
176
34
0
24 Feb 2021
A Symmetric Loss Perspective of Reliable Machine Learning
A Symmetric Loss Perspective of Reliable Machine Learning
Nontawat Charoenphakdee
Jongyeong Lee
Masashi Sugiyama
83
0
0
05 Jan 2021
SALAD: Self-Assessment Learning for Action Detection
SALAD: Self-Assessment Learning for Action Detection
Guillaume Vaudaux-Ruth
Adrien Chan-Hon-Tong
Catherine Achard
44
8
0
13 Nov 2020
Classification with Rejection Based on Cost-sensitive Classification
Classification with Rejection Based on Cost-sensitive Classification
Nontawat Charoenphakdee
Zhenghang Cui
Yivan Zhang
Masashi Sugiyama
174
67
0
22 Oct 2020
Selective Classification via One-Sided Prediction
Selective Classification via One-Sided Prediction
Aditya Gangrade
Anil Kag
Venkatesh Saligrama
UQCV
115
36
0
15 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection
A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff
Jacob R. Kauffmann
Robert A. Vandermeulen
G. Montavon
Wojciech Samek
Marius Kloft
Thomas G. Dietterich
Klaus-Robert Muller
UQCV
150
806
0
24 Sep 2020
Consistent Estimators for Learning to Defer to an Expert
Consistent Estimators for Learning to Defer to an Expert
Hussein Mozannar
David Sontag
93
205
0
02 Jun 2020
1