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

25 February 2021

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

26 / 26 papers shown

Title
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 28 3 0 04 Nov 2024
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection Jingyao Geng Yuan Zhang Jiaqi Huang Feng Xue Falong Tan Chuanlong Xie Shumei Zhang OODD 33 0 0 03 Nov 2024
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection Jinglun Li Xinyu Zhou Pinxue Guo Yixuan Sun Yiwen Huang Weifeng Ge Wenqiang Zhang 33 2 0 28 Aug 2024
Causal Responder Detection Tzviel Frostig Oshri Machluf Amitay Kamber Elad Berkman Raviv Pryluk CML 24 1 0 25 Jun 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 39 0 0 23 Jun 2024
Cascading Unknown Detection with Known Classification for Open Set Recognition Daniel Brignac Abhijit Mahalanobis 24 1 0 10 Jun 2024
Statistical Context Detection for Deep Lifelong Reinforcement Learning Jeffery Dick Saptarshi Nath Christos Peridis Eseoghene Ben-Iwhiwhu Soheil Kolouri Andrea Soltoggio OffRL 48 0 0 29 May 2024
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective Alberto Caron Chris Hicks V. Mavroudis OODD 26 2 0 05 May 2024
On the Detection of Anomalous or Out-Of-Distribution Data in Vision Models Using Statistical Techniques Laura O'Mahony David JP O'Sullivan Nikola S. Nikolov 19 1 0 21 Mar 2024
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?) Paul Novello Joseba Dalmau Léo Andéol OODD 19 2 0 18 Mar 2024
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism Hippolyte Gisserot-Boukhlef Manuel Faysse Emmanuel Malherbe C´eline Hudelot Pierre Colombo 30 2 0 20 Feb 2024
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 24 1 0 23 Nov 2023
Controlling FSR in Selective Classification Guanlan Zhao Zhonggen Su 30 0 0 07 Nov 2023
Faithfulness Measurable Masked Language Models Andreas Madsen Siva Reddy Sarath Chandar 38 3 0 11 Oct 2023
Conformal link prediction for false discovery rate control Ariane Marandon 16 8 0 26 Jun 2023
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 33 2 0 06 Jun 2023
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models Feng Xue Zi He Chuanlong Xie Falong Tan Zhenguo Li OODD 14 7 0 24 Dec 2022
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data Maxime Darrin Pablo Piantanida Pierre Colombo OODD 34 12 0 18 Dec 2022
Boosting Out-of-distribution Detection with Typical Features Yao Zhu YueFeng Chen Chuanlong Xie Xiaodan Li Rong Zhang Hui Xue Xiang Tian Bolun Zheng Yao-wu Chen OODD 76 50 0 09 Oct 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 56 52 0 18 Sep 2022
Constraining Representations Yields Models That Know What They Don't Know João Monteiro Pau Rodríguez López Pierre-Andre Noel I. Laradji David Vazquez AAML 31 0 0 30 Aug 2022
Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers Zi-Chen Liang Matteo Sesia Wenguang Sun OODD 8 19 0 23 Aug 2022
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 0 0 24 Jul 2022
Multiple Testing Framework for Out-of-Distribution Detection A. Magesh V. Veeravalli Anirban Roy Susmit Jha OODD 23 5 0 20 Jun 2022
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 200 81 0 16 Feb 2021
Combining p-values via averaging V. Vovk Ruodu Wang FedML 57 205 0 20 Dec 2012