Reliable and Trustworthy Machine Learning for Health Using Dataset Shift
Detection

Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection

26 October 2021

Tadayoshi Kohno

Shwetak N. Patel

Papers citing "Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection"

15 / 15 papers shown

Title
Self-Supervised Data Generation for Precision Agriculture: Blending Simulated Environments with Real Imagery Leonardo Saraceni I. M. Motoi Daniele Nardi Thomas Alessandro Ciarfuglia 59 0 0 25 Feb 2025
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning Guanglin Zhou Zhongyi Han Shiming Chen Biwei Huang Liming Zhu Salman Khan Xin Gao Lina Yao VLM 44 2 0 20 May 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures Nicolas Huynh Jeroen Berrevoets Nabeel Seedat Jonathan Crabbé Zhaozhi Qian M. Schaar 31 1 0 26 Feb 2024
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control Ghada Zamzmi Kesavan Venkatesh Brandon Nelson Smriti Prathapan Paul H Yi B. Sahiner Jana G. Delfino OOD 22 0 0 12 Feb 2024
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts Masoumeh Javanbakhat Md Tasnimul Hasan Cristoph Lippert UQCV OOD 23 1 0 10 Feb 2024
Confidence Calibration for Systems with Cascaded Predictive Modules Yunye Gong Yi Yao Xiao Lin Ajay Divakaran Melinda Gervasio 27 1 0 21 Sep 2023
Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets Teanna Barrett Quan Ze Chen Amy X. Zhang 29 13 0 15 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 27 2 0 04 May 2023
Explanation Shift: How Did the Distribution Shift Impact the Model? Carlos Mougan Klaus Broelemann David Masip Gjergji Kasneci Thanassis Thiropanis Steffen Staab FAtt 22 1 0 14 Mar 2023
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space Carlos Mougan Klaus Broelemann Gjergji Kasneci T. Tiropanis Steffen Staab FAtt 25 7 0 22 Oct 2022
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift Wenao Ma Cheng Chen Shuang Zheng Jin Qin Huimao Zhang Qi Dou OOD 124 19 0 02 Jul 2022
Diagnostic Tool for Out-of-Sample Model Evaluation Ludvig Hult Dave Zachariah Petre Stoica 14 1 0 22 Jun 2022
Data-SUITE: Data-centric identification of in-distribution incongruous examples Nabeel Seedat Jonathan Crabbé M. Schaar OOD 20 14 0 17 Feb 2022
Enhancing Causal Estimation through Unlabeled Offline Data Ron Teichner Ron Meir Danny Eitan CML OOD 11 4 0 16 Feb 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016