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A statistical framework for efficient out of distribution detection in
  deep neural networks
v1v2v3 (latest)

A statistical framework for efficient out of distribution detection in deep neural networks

International Conference on Learning Representations (ICLR), 2021
25 February 2021
Matan Haroush
Tzviel Frostig
R. Heller
Daniel Soudry
    OODD
ArXiv (abs)PDFHTML

Papers citing "A statistical framework for efficient out of distribution detection in deep neural networks"

16 / 16 papers shown
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI
R. Kaur
Colin Samplawski
Adam Cobb
Anirban Roy
Brian Matejek
...
Daniel Elenius
Alexander M. Berenbeim
John A. Pavlik
Nathaniel D. Bastian
Susmit Jha
422
14
0
04 Nov 2024
Causal Responder Detection
Causal Responder Detection
Tzviel Frostig
Oshri Machluf
Amitay Kamber
Elad Berkman
Raviv Pryluk
CML
227
1
0
25 Jun 2024
Combine and Conquer: A Meta-Analysis on Data Shift and
  Out-of-Distribution Detection
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
Eduardo Dadalto
F. Alberge
Pierre Duhamel
Pablo Piantanida
OODD
332
0
0
23 Jun 2024
Cascading Unknown Detection with Known Classification for Open Set
  Recognition
Cascading Unknown Detection with Known Classification for Open Set Recognition
Daniel Brignac
Abhijit Mahalanobis
215
3
0
10 Jun 2024
Towards Trustworthy Reranking: A Simple yet Effective Abstention
  Mechanism
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism
Hippolyte Gisserot-Boukhlef
Manuel Faysse
Emmanuel Malherbe
C´eline Hudelot
Pierre Colombo
554
5
0
20 Feb 2024
Controlling FSR in Selective Classification
Controlling FSR in Selective Classification
Guanlan Zhao
Zhonggen Su
437
2
0
07 Nov 2023
Conformal link prediction for false discovery rate control
Conformal link prediction for false discovery rate controlTest (Madrid) (TM), 2023
Ariane Marandon
446
13
0
26 Jun 2023
A Functional Data Perspective and Baseline On Multi-Layer
  Out-of-Distribution Detection
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection
Eduardo Dadalto Camara Gomes
Pierre Colombo
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
OODD
632
2
0
06 Jun 2023
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models
Feng Xue
Zi He
Chuanlong Xie
Falong Tan
Zhenguo Li
OODD
434
7
0
24 Dec 2022
Rainproof: An Umbrella To Shield Text Generators From
  Out-Of-Distribution Data
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution DataConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Maxime Darrin
Pablo Piantanida
Pierre Colombo
OODD
519
17
0
18 Dec 2022
Boosting Out-of-distribution Detection with Typical Features
Boosting Out-of-distribution Detection with Typical FeaturesNeural Information Processing Systems (NeurIPS), 2022
Yao Zhu
YueFeng Chen
Chuanlong Xie
Xiaodan Li
Rong Zhang
Hui Xue
Xiang Tian
Bolun Zheng
Yao-wu Chen
OODD
309
70
0
09 Oct 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
RankFeat: Rank-1 Feature Removal for Out-of-distribution DetectionNeural Information Processing Systems (NeurIPS), 2022
Yue Song
Andrii Zadaianchuk
Wei Wang
OODD
364
70
0
18 Sep 2022
Constraining Representations Yields Models That Know What They Don't
  Know
Constraining Representations Yields Models That Know What They Don't KnowInternational Conference on Learning Representations (ICLR), 2022
João Monteiro
Pau Rodríguez López
Pierre-Andre Noel
I. Laradji
David Vazquez
AAML
524
0
0
30 Aug 2022
Integrative conformal p-values for powerful out-of-distribution testing
  with labeled outliers
Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers
Zi-Chen Liang
Matteo Sesia
Wenguang Sun
OODD
394
26
0
23 Aug 2022
Multiple Testing Framework for Out-of-Distribution Detection
Multiple Testing Framework for Out-of-Distribution Detection
A. Magesh
Venugopal V. Veeravalli
Anirban Roy
Susmit Jha
OODD
489
5
0
20 Jun 2022
DEUP: Direct Epistemic Uncertainty Prediction
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PERUQLMUQCVUD
754
116
0
16 Feb 2021
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