ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1908.05569
  4. Cited By
Entropic Out-of-Distribution Detection
v1v2v3v4v5v6v7v8v9v10v11v12v13 (latest)

Entropic Out-of-Distribution Detection

IEEE International Joint Conference on Neural Network (IJCNN), 2019
15 August 2019
David Macêdo
T. I. Ren
Cleber Zanchettin
Adriano Oliveira
Teresa B Ludermir
    OODDUQCV
ArXiv (abs)PDFHTML

Papers citing "Entropic Out-of-Distribution Detection"

18 / 18 papers shown
Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs
Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs
Ayush Gupta
R. Kaur
Anirban Roy
Adam D. Cobb
Rama Chellappa
Susmit Jha
225
0
0
04 Sep 2025
When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty
When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty
Yanzhe Wen
Miao Hu
Qi Zhang
Zhu Lei
Guang Zeng
Rong-Hua Li
Guoren Wang
546
1
0
20 May 2025
LEGO-Learn: Label-Efficient Graph Open-Set Learning
LEGO-Learn: Label-Efficient Graph Open-Set Learning
Haoyan Xu
Kay Liu
Zhengtao Yao
Philip S. Yu
Mengyuan Li
Yue Zhao
Yue Zhao
OODD
500
12
0
21 Oct 2024
Detecting Out-Of-Distribution Earth Observation Images with Diffusion
  Models
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models
Georges Le Bellier
Nicolas Audebert
316
13
0
19 Apr 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty
  Quantification Methods
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
Jiaxin Zhang
Kamalika Das
Kumar Sricharan
UQCV
201
2
0
20 Feb 2024
Learning on Graphs with Out-of-Distribution Nodes
Learning on Graphs with Out-of-Distribution NodesKnowledge Discovery and Data Mining (KDD), 2022
Yunho Song
Xuetao Zhang
OODD
298
53
0
13 Aug 2023
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Mochu Xiang
Jing Zhang
Nick Barnes
Yuchao Dai
UQCV
213
7
0
19 Jul 2023
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label
  Non-conformity in Web Images Via a New Generalized KL Divergence
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL DivergenceInternational Journal of Computer Vision (IJCV), 2023
Xia Huang
Kai Fong Ernest Chong
272
5
0
19 Jul 2023
Morse Neural Networks for Uncertainty Quantification
Morse Neural Networks for Uncertainty Quantification
Benoit Dherin
Huiyi Hu
Jie Jessie Ren
Michael W. Dusenberry
Balaji Lakshminarayanan
UQCVAI4CE
208
5
0
02 Jul 2023
YolOOD: Utilizing Object Detection Concepts for Multi-Label
  Out-of-Distribution Detection
YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2022
Alon Zolfi
Guy Amit
A. Baras
Satoru Koda
I. Morikawa
Yuval Elovici
A. Shabtai
OODD
335
1
0
05 Dec 2022
Parametric Information Maximization for Generalized Category Discovery
Parametric Information Maximization for Generalized Category DiscoveryIEEE International Conference on Computer Vision (ICCV), 2022
Florent Chiaroni
Jose Dolz
Imtiaz Masud Ziko
A. Mitiche
Ismail Ben Ayed
304
49
0
01 Dec 2022
Latent Discriminant deterministic Uncertainty
Latent Discriminant deterministic UncertaintyEuropean Conference on Computer Vision (ECCV), 2022
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
David Filliat
UQCV
255
19
0
20 Jul 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All ClassifierApplied Soft Computing (ASC), 2022
Bartosz Wójcik
J. Grela
Marek Śmieja
Krzysztof Misztal
Jacek Tabor
UQCV
341
4
0
28 Jun 2022
Distinction Maximization Loss: Efficiently Improving Out-of-Distribution
  Detection and Uncertainty Estimation by Replacing the Loss and Calibrating
Distinction Maximization Loss: Efficiently Improving Out-of-Distribution Detection and Uncertainty Estimation by Replacing the Loss and Calibrating
David Macêdo
Cleber Zanchettin
Teresa B Ludermir
UQCV
483
5
0
12 May 2022
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution
  Detection
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2022
R. Kaur
Susmit Jha
Anirban Roy
Sangdon Park
Guang Cheng
O. Sokolsky
Insup Lee
OODD
266
52
0
07 Jan 2022
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced
  Classes and New Classes
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New ClassesNeural Networks (NN), 2021
Lukas Galke
Iacopo Vagliano
Benedikt Franke
Tobias Zielke
Marcel Hoffmann
A. Scherp
CLL
343
19
0
20 Dec 2021
Enhanced Isotropy Maximization Loss: Seamless and High-Performance
  Out-of-Distribution Detection Simply Replacing the SoftMax Loss
Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss
David Macêdo
Teresa B Ludermir
OODD
555
16
0
30 May 2021
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown
  Examples
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples
David Macêdo
T. I. Ren
Cleber Zanchettin
Adriano Oliveira
Teresa B Ludermir
OODD
256
28
0
07 Jun 2020
1
Page 1 of 1