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Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at
  Reliable OOD Detection

Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection

9 December 2020
Dennis Ulmer
Giovanni Cina
    OODD
ArXivPDFHTML

Papers citing "Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection"

9 / 9 papers shown
Title
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident
  Failing Samples for Deep Learning Models
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models
Zhengyuan Wei
Haipeng Wang
Qili Zhou
William Chan
34
0
0
19 Jul 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing
  Extreme Activations
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
Mohammad Azizmalayeri
Ameen Abu-Hanna
Giovanni Cina
OODD
47
1
0
21 May 2024
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
41
20
0
09 Oct 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection
  in Medical Tabular Data
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
Mohammad Azizmalayeri
Ameen Abu-Hanna
Dirk Kraft
OOD
28
5
0
28 Sep 2023
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the
  Impact of Method & Data Scarcity
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Dennis Ulmer
J. Frellsen
Christian Hardmeier
187
22
0
20 Oct 2022
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma
  Distributions
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Huan Ma
Zongbo Han
Changqing Zhang
Huazhu Fu
Qiufeng Wang
Q. Hu
EDL
UQCV
71
42
0
11 Nov 2021
Deep Learning and Traffic Classification: Lessons learned from a
  commercial-grade dataset with hundreds of encrypted and zero-day applications
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications
Lixuan Yang
A. Finamore
Feng Jun
Dario Rossi
14
47
0
07 Apr 2021
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
5,661
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
9,138
0
06 Jun 2015
1