ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.08625
  4. Cited By
Learning Prediction Intervals for Model Performance

Learning Prediction Intervals for Model Performance

AAAI Conference on Artificial Intelligence (AAAI), 2020
15 December 2020
Benjamin Elder
Matthew Arnold
Anupama Murthi
Jirí Navrátil
ArXiv (abs)PDFHTML

Papers citing "Learning Prediction Intervals for Model Performance"

6 / 6 papers shown
Detecting Domain Shift in Multiple Instance Learning for Digital
  Pathology Using Fréchet Domain Distance
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain DistanceInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Milda Pocevičiūtė
Gabriel Eilertsen
Stina Garvin
Claes Lundström
247
9
0
16 May 2024
Uncertainty Aware Neural Network from Similarity and Sensitivity
Uncertainty Aware Neural Network from Similarity and SensitivityApplied Soft Computing (Appl. Soft Comput.), 2023
H. M. D. Kabir
S. Mondal
Sadia Khanam
Abbas Khosravi
Shafin Rahman
...
R. Alizadehsani
Houshyar Asadi
Shady M. K. Mohamed
Saeid Nahavandi
Usha R. Acharya
AAML
303
6
0
27 Apr 2023
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
Post-hoc Uncertainty Learning using a Dirichlet Meta-ModelAAAI Conference on Artificial Intelligence (AAAI), 2022
Maohao Shen
Yuheng Bu
P. Sattigeri
S. Ghosh
Subhro Das
G. Wornell
UQCVOODBDL
286
50
0
14 Dec 2022
Uncertainty Quantification for Rule-Based Models
Uncertainty Quantification for Rule-Based Models
Yusik Kim
UQCV
116
0
0
03 Nov 2022
Performance Prediction Under Dataset Shift
Performance Prediction Under Dataset ShiftInternational Conference on Pattern Recognition (ICPR), 2022
Simona Maggio
Victor Bouvier
L. Dreyfus-Schmidt
OODAI4TS
208
5
0
21 Jun 2022
Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and
  Communicating the Uncertainty of AI
Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI
S. Ghosh
Q. V. Liao
Karthikeyan N. Ramamurthy
Jirí Navrátil
P. Sattigeri
Kush R. Varshney
Yunfeng Zhang
255
39
0
02 Jun 2021
1
Page 1 of 1