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A Data-Driven Measure of Relative Uncertainty for Misclassification
  Detection

A Data-Driven Measure of Relative Uncertainty for Misclassification Detection

2 June 2023
Eduardo Dadalto Camara Gomes
Marco Romanelli
Georg Pichler
Pablo Piantanida
    UQCV
ArXivPDFHTML

Papers citing "A Data-Driven Measure of Relative Uncertainty for Misclassification Detection"

10 / 10 papers shown
Title
RAT: Boosting Misclassification Detection Ability without Extra Data
RAT: Boosting Misclassification Detection Ability without Extra Data
Ge Yan
Tsui-Wei Weng
AAML
90
0
0
18 Mar 2025
Predicting Probabilities of Error to Combine Quantization and Early
  Exiting: QuEE
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE
Florence Regol
Joud Chataoui
Bertrand Charpentier
Mark J. Coates
Pablo Piantanida
Stephan Gunnemann
33
0
0
20 Jun 2024
Beyond the Norms: Detecting Prediction Errors in Regression Models
Beyond the Norms: Detecting Prediction Errors in Regression Models
A. Altieri
Marco Romanelli
Georg Pichler
F. Alberge
Pablo Piantanida
31
0
0
11 Jun 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path
  Forward
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward
Xuan Xie
Jiayang Song
Zhehua Zhou
Yuheng Huang
Da Song
Lei Ma
OffRL
35
6
0
12 Apr 2024
SwiftLearn: A Data-Efficient Training Method of Deep Learning Models
  using Importance Sampling
SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling
Habib Hajimolahoseini
Omar Mohamed Awad
Walid Ahmed
Austin Wen
Saina Asani
...
Farnoosh Javadi
Mehdi Ahmadi
Foozhan Ataiefard
Kangling Liu
Yang Liu
19
2
0
25 Nov 2023
Mitigating Neural Network Overconfidence with Logit Normalization
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Yixuan Li
OODD
163
266
0
19 May 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural
  Network
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
Nikita Kotelevskii
A. Artemenkov
Kirill Fedyanin
Fedor Noskov
Alexander Fishkov
Artem Shelmanov
Artem Vazhentsev
Aleksandr Petiushko
Maxim Panov
UQCV
BDL
43
25
0
07 Feb 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
268
5,652
0
05 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,237
0
25 Aug 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
247
9,109
0
06 Jun 2015
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