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Revisiting Confidence Estimation: Towards Reliable Failure Prediction

Revisiting Confidence Estimation: Towards Reliable Failure Prediction

5 March 2024
Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
    UQCV
ArXivPDFHTML

Papers citing "Revisiting Confidence Estimation: Towards Reliable Failure Prediction"

13 / 13 papers shown
Title
TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data
TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data
Fei Zhu
Zhaoxiang Zhang
OODD
UQCV
55
0
0
20 Apr 2025
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
Han Zhou
Jordy Van Landeghem
Teodora Popordanoska
Matthew B. Blaschko
25
0
0
20 Oct 2024
Overcoming Common Flaws in the Evaluation of Selective Classification
  Systems
Overcoming Common Flaws in the Evaluation of Selective Classification Systems
Jeremias Traub
Till J. Bungert
Carsten T. Lüth
Michael Baumgartner
Klaus H. Maier-Hein
Lena Maier-Hein
Paul F. Jaeger
32
3
0
01 Jul 2024
Open-world Machine Learning: A Review and New Outlooks
Open-world Machine Learning: A Review and New Outlooks
Fei Zhu
Shijie Ma
Zhen Cheng
Xu-Yao Zhang
Zhao-kui Zhang
Cheng-Lin Liu
25
20
0
04 Mar 2024
Average of Pruning: Improving Performance and Stability of
  Out-of-Distribution Detection
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection
Zhen Cheng
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
MoMe
OODD
32
11
0
02 Mar 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
258
0
19 May 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in
  the Wild
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang
Andrew Geng
Yixuan Li
171
324
0
01 Oct 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,554
0
04 May 2021
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
216
422
0
17 Feb 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
268
5,635
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
244
35,884
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
9,042
0
06 Jun 2015
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