Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks

10 July 2020

Balaji Lakshminarayanan

UQCV

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Papers citing "Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks"

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Title
DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning Jiaxin Guo Cheng Chen Shuzhen Li Tianze Zhang 196 1 0 01 Feb 2025
Transitional Uncertainty with Layered Intermediate Predictions Ryan Benkert Mohit Prabhushankar Ghassan AlRegib 122 2 0 25 May 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 112 0 0 29 Mar 2024
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers Hong Jia Young D. Kwon Dong Ma Nhat Pham Lorena Qendro Tam N. Vu Cecilia Mascolo 109 4 0 14 Feb 2024
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 127 24 0 15 Sep 2022
Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation Jiangbo Pei Zhuqing Jiang Aidong Men Liang Chen Yang Liu Qingchao Chen 97 31 0 30 Aug 2022
Latent Discriminant deterministic Uncertainty Gianni Franchi Xuanlong Yu Andrei Bursuc Emanuel Aldea Séverine Dubuisson David Filliat UQCV 99 18 0 20 Jul 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier Bartosz Wójcik J. Grela Marek Śmieja Krzysztof Misztal Jacek Tabor UQCV 115 4 0 28 Jun 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 125 0 0 27 Jun 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 310 61 0 01 May 2022
Expanding Low-Density Latent Regions for Open-Set Object Detection Jiaming Han Yuqiang Ren Jian Ding Xingjia Pan Ke Yan Guisong Xia ObjD 137 69 0 28 Mar 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 137 51 0 25 Mar 2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs Philipp Oberdiek G. Fink Matthias Rottmann OODD 201 19 0 31 Jan 2022
Training on Test Data with Bayesian Adaptation for Covariate Shift Aurick Zhou Sergey Levine OOD TTA 133 13 0 27 Sep 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration Yezhen Wang Yue Liu Tong Che Kaiyang Zhou Ziwei Liu Dongsheng Li UQCV 129 56 0 27 Jul 2021
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers Kuniaki Saito Donghyun Kim Kate Saenko 101 66 0 28 May 2021
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker 67 5 0 28 Apr 2021
OVANet: One-vs-All Network for Universal Domain Adaptation Kuniaki Saito Kate Saenko 250 161 0 07 Apr 2021
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch BDL UQCV 155 30 0 04 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Tianpeng Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 481 2,087 0 12 Nov 2020