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Detecting OODs as datapoints with High Uncertainty

Detecting OODs as datapoints with High Uncertainty

13 August 2021
R. Kaur
Susmit Jha
Anirban Roy
Sangdon Park
O. Sokolsky
Insup Lee
    AAML
    UQCV
ArXivPDFHTML

Papers citing "Detecting OODs as datapoints with High Uncertainty"

4 / 4 papers shown
Title
Using Semantic Information for Defining and Detecting OOD Inputs
Using Semantic Information for Defining and Detecting OOD Inputs
Ramneet Kaur
Xiayan Ji
Souradeep Dutta
Michele Caprio
Yahan Yang
E. Bernardis
O. Sokolsky
Insup Lee
OODD
37
7
0
21 Feb 2023
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data
R. Kaur
Kaustubh Sridhar
Sangdon Park
Susmit Jha
Anirban Roy
O. Sokolsky
Insup Lee
OODD
AI4TS
144
1
0
24 Jul 2022
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution
  Detection
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection
Nikolaos Dionelis
Mehrdad Yaghoobi
Sotirios A. Tsaftaris
OODD
19
4
0
30 Nov 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
5,675
0
05 Dec 2016
1