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. 1912.01730
  4. Cited By
Distance-Based Learning from Errors for Confidence Calibration

Distance-Based Learning from Errors for Confidence Calibration

3 December 2019
Chen Xing
Sercan Ö. Arik
Zizhao Zhang
Tomas Pfister
    FedML
ArXivPDFHTML

Papers citing "Distance-Based Learning from Errors for Confidence Calibration"

8 / 8 papers shown
Title
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
UQCV
49
10
0
05 Mar 2024
Rethinking Confidence Calibration for Failure Prediction
Rethinking Confidence Calibration for Failure Prediction
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
UQCV
14
39
0
06 Mar 2023
Uncertainty Estimation based on Geometric Separation
Uncertainty Estimation based on Geometric Separation
Gabriella Chouraqui
L. Cohen
Gil Einziger
Liel Leman
22
0
0
11 Jan 2023
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label
  Semi-Supervised Classification
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification
Jun Huang
Alexander Huang
Beatriz C. Guerra
Yen-Yun Yu
14
4
0
30 Aug 2022
DIRA: Dynamic Domain Incremental Regularised Adaptation
DIRA: Dynamic Domain Incremental Regularised Adaptation
Abanoub Ghobrial
Xu Zheng
Darryl Hond
Hamid Asgari
Kerstin Eder
AI4CE
18
1
0
30 Apr 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution
  Detection?
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Yifei Ming
Yiyou Sun
Ousmane Amadou Dia
Yixuan Li
OODD
26
95
0
08 Mar 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1