Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data

28 October 2021

Papers citing "Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data"

6 / 6 papers shown

Title
AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs Francisco Caetano Christiaan G. A. Viviers Lena Filatova Peter H. N. de With Fons van der Sommen AAML MedIm 31 0 0 23 Feb 2025
Leveraging Intermediate Representations for Better Out-of-Distribution Detection Gianluca Guglielmo Marc Masana OODD 66 0 0 18 Feb 2025
Defining the boundaries: challenges and advances in identifying cells in microscopy images Nodar Gogoberidze Beth A. Cimini 8 5 0 14 Nov 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective Reza Averly Wei-Lun Chao OODD 24 11 0 13 Apr 2023
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer James Smith Jonathan C. Balloch Yen-Chang Hsu Z. Kira CLL 121 35 0 23 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016