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. 2311.02719
  4. Cited By
Uncertainty Estimation for Safety-critical Scene Segmentation via
  Fine-grained Reward Maximization

Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization

5 November 2023
Hongzheng Yang
Cheng Chen
Yueyao Chen
Markus Scheppach
Hon-Chi Yip
Qi Dou
    EDL
    UQCV
ArXivPDFHTML

Papers citing "Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization"

9 / 9 papers shown
Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
134
0
0
04 May 2025
Improving Plasticity in Non-stationary Reinforcement Learning with Evidential Proximal Policy Optimization
Abdullah Akgul
Gulcin Baykal
Manuel Haußmann
M. Kandemir
38
0
0
03 Mar 2025
Revisiting Essential and Nonessential Settings of Evidential Deep
  Learning
Revisiting Essential and Nonessential Settings of Evidential Deep Learning
Mengyuan Chen
Junyu Gao
Changsheng Xu
EDL
54
1
0
01 Oct 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications
A Comprehensive Survey on Evidential Deep Learning and Its Applications
Junyu Gao
Mengyuan Chen
Liangyu Xiang
Changsheng Xu
EDL
BDL
UQCV
47
5
0
07 Sep 2024
Out-of-distribution Detection in Medical Image Analysis: A survey
Out-of-distribution Detection in Medical Image Analysis: A survey
Zesheng Hong
Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
...
Jialong Xu
Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
OOD
45
5
0
28 Apr 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of
  Predictive Uncertainty
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty
Luca Mossina
Joseba Dalmau
Léo Andéol
UQCV
40
13
0
16 Apr 2024
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
339
12,003
0
04 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
276
5,675
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
9,145
0
06 Jun 2015
1