Hypothesis Testing for Class-Conditional Label Noise

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Hypothesis Testing for Class-Conditional Label Noise

3 March 2021

Rafael Poyiadzi

Raúl Santos-Rodríguez

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Papers citing "Hypothesis Testing for Class-Conditional Label Noise"

7 / 7 papers shown

Title
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets Nitin Gupta Hima Patel S. Afzal Naveen Panwar Ruhi Sharma Mittal ... S. Mehta Sandeep Hans P. Lohia Aniya Aggarwal Diptikalyan Saha 66 42 0 12 Aug 2021
Learning from Crowds by Modeling Common Confusions Zhendong Chu Jing Ma Hongning Wang NoLa 39 47 0 24 Dec 2020
Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt Lu Jiang Isaac L. Chuang NoLa 151 696 0 31 Oct 2019
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency Kacper Sokol Raúl Santos-Rodríguez Peter A. Flach 39 37 0 11 Sep 2019
Are Anchor Points Really Indispensable in Label-Noise Learning? Xiaobo Xia Tongliang Liu N. Wang Bo Han Chen Gong Gang Niu Masashi Sugiyama NoLa 73 379 0 01 Jun 2019
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 266 2,194 0 23 Mar 2018
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising Gilles Blanchard Marek Flaska G. Handy Sara Pozzi Clayton Scott NoLa 100 244 0 05 Mar 2013

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