Synthetic data, real errors: how (not) to publish and use synthetic data

Synthetic data, real errors: how (not) to publish and use synthetic data

16 May 2023

Papers citing "Synthetic data, real errors: how (not) to publish and use synthetic data"

13 / 13 papers shown

Title
GAUDA: Generative Adaptive Uncertainty-guided Diffusion-based Augmentation for Surgical Segmentation Yannik Frisch Christina Bornberg Moritz Fuchs Anirban Mukhopadhyay MedIm 30 0 0 18 Jan 2025
Debiasing Synthetic Data Generated by Deep Generative Models A. Decruyenaere Heidelinde Dehaene Paloma Rabaey Christiaan Polet Johan Decruyenaere Thomas Demeester S. Vansteelandt AI4CE 31 0 0 06 Nov 2024
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning Xiaochuan Li Zichun Yu Chenyan Xiong SyDa 31 1 0 18 Oct 2024
Generating Diverse Agricultural Data for Vision-Based Farming Applications Mikolaj Cieslak Umabharathi Govindarajan Alejandro Garcia Anuradha Chandrashekar Torsten Hädrich Aleksander Mendoza-Drosik D. L. Michels Soren Pirk Chia-Chun Fu Wojciech Palubicki 25 7 0 27 Mar 2024
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets Ossi Raisa Antti Honkela 72 0 0 06 Feb 2024
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples Shinýa Yamaguchi 35 2 0 28 Sep 2023
On Consistent Bayesian Inference from Synthetic Data Ossi Raisa Joonas Jälkö Antti Honkela SyDa 26 2 0 26 May 2023
Utility Theory of Synthetic Data Generation Shi Xu W. Sun Guang Cheng 25 5 0 17 May 2023
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data Hari Prasanna Das Ryan Tran Japjot Singh Xiangyu Yue G. Tison Alberto L. Sangiovanni-Vincentelli C. Spanos OOD MedIm 57 51 0 14 Sep 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 50 186 0 17 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,247 0 09 Jun 2011