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2012.05329
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Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
9 December 2020
Dennis Ulmer
Giovanni Cina
OODD
Re-assign community
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Papers citing
"Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection"
24 / 24 papers shown
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Ji-Hun Oh
Kianoush Falahkheirkhah
Rohit Bhargava
275
0
0
01 Jul 2025
A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Gonçalo Gomes
Bruno Martins
Chrysoula Zerva
350
1
0
01 Apr 2025
eDOC: Explainable Decoding Out-of-domain Cell Types with Evidential Learning
Chaochen Wu
Meiyun Zuo
Lei Xie
289
1
0
30 Oct 2024
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models
Zhengyuan Wei
Haipeng Wang
Qili Zhou
William Chan
148
0
0
19 Jul 2024
Are We Ready for Out-of-Distribution Detection in Digital Pathology?
Ji-Hun Oh
Kianoush Falahkheirkhah
Rohit Bhargava
OODD
237
4
0
18 Jul 2024
Gradient Boosting Reinforcement Learning
Benjamin Fuhrer
Chen Tessler
Gal Dalal
OffRL
AI4CE
475
4
0
11 Jul 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
Mohammad Azizmalayeri
Ameen Abu-Hanna
Giovanni Cina
OODD
231
4
0
21 May 2024
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
216
15
0
28 Apr 2024
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
343
46
0
09 Oct 2023
Unified Uncertainty Calibration
Kamalika Chaudhuri
David Lopez-Paz
298
0
0
02 Oct 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
Mohammad Azizmalayeri
Ameen Abu-Hanna
Dirk Kraft
OOD
298
8
0
28 Sep 2023
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Valentin Bieri
Paul Streli
B. U. Demirel
Christian Holz
188
13
0
13 Jun 2023
Master's Thesis: Out-of-distribution Detection with Energy-based Models
Sven Elflein
OODD
183
2
0
28 Jan 2023
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty
Zhijie Wang
Yuheng Huang
Lei Ma
Haruki Yokoyama
Susumu Tokumoto
Kazuki Munakata
214
6
0
13 Dec 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Dennis Ulmer
J. Frellsen
Christian Hardmeier
440
27
0
20 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
258
140
0
05 Oct 2022
Disentangling Uncertainty in Machine Translation Evaluation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Chrysoula Zerva
T. Glushkova
Ricardo Rei
André F.T. Martins
UD
UQCV
321
9
0
13 Apr 2022
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Neural Information Processing Systems (NeurIPS), 2021
Huan Ma
Zongbo Han
Changqing Zhang
Huazhu Fu
Qiufeng Wang
Q. Hu
EDL
UQCV
248
56
0
11 Nov 2021
Periodic Activation Functions Induce Stationarity
Lassi Meronen
Martin Trapp
Arno Solin
BDL
250
25
0
26 Oct 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
Dennis Ulmer
Christian Hardmeier
J. Frellsen
BDL
UQCV
UD
EDL
PER
332
77
0
06 Oct 2021
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation
Karina Zadorozhny
P. Thoral
Paul Elbers
Giovanni Cina
OODD
OOD
273
21
0
30 Sep 2021
Machine Learning with a Reject Option: A survey
Machine-mediated learning (ML), 2021
Kilian Hendrickx
Lorenzo Perini
Dries Van der Plas
Wannes Meert
Jesse Davis
MU
315
159
0
23 Jul 2021
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications
IEEE Transactions on Network and Service Management (TNSM), 2021
Lixuan Yang
A. Finamore
Feng Jun
Dario Rossi
172
58
0
07 Apr 2021
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCV
BDL
799
517
0
17 Jun 2020
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