Uncertainty Based Detection and Relabeling of Noisy Image Labels

29 May 2019

Papers citing "Uncertainty Based Detection and Relabeling of Noisy Image Labels"

8 / 8 papers shown

Title
Addressing out-of-distribution label noise in webly-labelled data Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness NoLa 16 16 0 26 Oct 2021
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images Zhenzhen Wang Carla Saoud A. Popel Aaron W. James Aleksander S. Popel Jeremias Sulam 21 21 0 22 Sep 2021
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality Francesco Ponzio Enrico Macii E. Ficarra S. D. Cataldo 22 4 0 24 Mar 2021
On the Robustness of Monte Carlo Dropout Trained with Noisy Labels Purvi Goel Li Chen NoLa 33 15 0 22 Mar 2021
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 18 535 0 05 Dec 2019
Data Valuation using Reinforcement Learning Jinsung Yoon Sercan Ö. Arik Tomas Pfister TDI 25 173 0 25 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015